diff --git a/.gitignore b/.gitignore
index 0feef539..314491c1 100644
--- a/.gitignore
+++ b/.gitignore
@@ -73,3 +73,4 @@ test/ios/fastlane/README.md
 test/android/fastlane/README.md
 test/android/fastlane/report.xml
 /android/viro_bridge/.cxx/Debug
+/ios/dist/ViroRenderer/armv7_arm64
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 07b6f356..054ecc23 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,521 @@
 # CHANGELOG
 
+## v2.53.0 — 06 March 2026
+
+### Breaking Changes
+
+- **`ViroARSceneNavigator` — `provider` replaces `cloudAnchorProvider` and `geospatialAnchorProvider`**
+
+  The two separate props are merged into a single `provider` prop that controls
+  both the cloud anchor and geospatial anchor backends simultaneously.
+
+  **Before:**
+  ```tsx
+  <ViroARSceneNavigator
+    cloudAnchorProvider="reactvision"
+    geospatialAnchorProvider="reactvision"
+    initialScene={{ scene: MyARScene }}
+  />
+  ```
+
+  **After:**
+  ```tsx
+  // provider defaults to "reactvision" — prop can be omitted entirely
+  <ViroARSceneNavigator
+    initialScene={{ scene: MyARScene }}
+  />
+
+  // Or to override:
+  <ViroARSceneNavigator
+    provider="arcore"
+    initialScene={{ scene: MyARScene }}
+  />
+  ```
+
+  `ViroCloudAnchorProvider` and `ViroGeospatialAnchorProvider` types are now
+  deprecated aliases for the new `ViroProvider` type. Remove them from props;
+  use `provider` instead. The old types still compile with a deprecation warning
+  to ease migration.
+
+- **Expo plugin (`withViro`) — `provider` replaces `cloudAnchorProvider` and `geospatialAnchorProvider`**
+
+  The two separate Expo plugin options are merged into a single `provider` option in
+  `app.json`.  The old options are deprecated but still accepted as overrides.
+
+  **Before:**
+  ```json
+  ["@reactvision/react-viro", {
+    "cloudAnchorProvider": "reactvision",
+    "geospatialAnchorProvider": "reactvision",
+    "rvApiKey": "...",
+    "rvProjectId": "..."
+  }]
+  ```
+
+  **After:**
+  ```json
+  ["@reactvision/react-viro", {
+    "provider": "reactvision",
+    "rvApiKey": "...",
+    "rvProjectId": "..."
+  }]
+  ```
+
+  Setting `provider: "arcore"` continues to inject ARCore pods on iOS and force dynamic
+  linkage, exactly as `cloudAnchorProvider: "arcore"` did before.
+  Setting `provider: "reactvision"` injects location permissions on both platforms
+  (previously only triggered when `geospatialAnchorProvider: "reactvision"` was explicit).
+
+- **ViroARPlaneSelector — new architecture (scene-event-driven)**
+
+  The component no longer self-discovers planes through pre-allocated
+  `ViroARPlane` detector slots.  You must forward the parent
+  `ViroARScene` anchor events to it via a ref:
+
+  ```tsx
+  const selectorRef = useRef<ViroARPlaneSelector>(null);
+
+  <ViroARScene
+    anchorDetectionTypes={["PlanesHorizontal", "PlanesVertical"]}
+    onAnchorFound={(a)   => selectorRef.current?.handleAnchorFound(a)}
+    onAnchorUpdated={(a) => selectorRef.current?.handleAnchorUpdated(a)}
+    onAnchorRemoved={(a) => a && selectorRef.current?.handleAnchorRemoved(a)}
+  >
+    <ViroARPlaneSelector ref={selectorRef} alignment="Both" onPlaneSelected={...}>
+      <MyContent />
+    </ViroARPlaneSelector>
+  </ViroARScene>
+  ```
+
+  The old self-contained usage (no ref, no anchor wiring) no longer works.
+
+### Added
+
+- **`gpsToArWorld(devicePose, lat, lng, alt)` utility** — converts a GPS coordinate to an
+  AR world-space `[x, y, z]` offset from the device's current geospatial pose. Uses
+  Mercator projection + compass heading. Available in `@reactvision/react-viro`.
+- **`latLngToMercator(lat, lng)` utility** — WGS84 Mercator projection returning metres.
+  Building block for `gpsToArWorld` and custom geo math.
+
+- **ReactVision — Cloud Anchor Provider**
+
+  The `"reactvision"` provider routes `hostCloudAnchor` / `resolveCloudAnchor`
+  through the ReactVision platform — no Google Cloud configuration or API key
+  required.  The existing `hostCloudAnchor`, `resolveCloudAnchor`, and
+  `onCloudAnchorStateChange` API is unchanged.
+
+- **ReactVision — Cloud Anchor Management API**
+
+  8 new methods on `arSceneNavigator` for full CRUD and analytics on cloud anchors
+  (available when `provider="reactvision"`, the default):
+
+  | Method | Description |
+  |--------|-------------|
+  | `rvGetCloudAnchor(anchorId)` | Fetch a single anchor record |
+  | `rvListCloudAnchors(limit, offset)` | Paginated list of all project anchors |
+  | `rvUpdateCloudAnchor(id, name, desc, isPublic)` | Rename / re-describe an anchor |
+  | `rvDeleteCloudAnchor(anchorId)` | Permanently delete an anchor and its assets |
+  | `rvFindNearbyCloudAnchors(lat, lng, radius, limit)` | GPS proximity search |
+  | `rvAttachAssetToCloudAnchor(id, url, size, name, type, userId)` | Attach a hosted file |
+  | `rvRemoveAssetFromCloudAnchor(anchorId, assetId)` | Remove an attached asset |
+  | `rvTrackCloudAnchorResolution(...)` | Record resolve analytics manually |
+
+  All calls are handled entirely inside the compiled native binary — no
+  API keys or endpoint URLs are present in the JS bundle.
+
+- **ReactVision — Geospatial Anchor Provider + Management API**
+
+  GPS-tagged anchors are available through the ReactVision platform.
+  5 new management methods on `arSceneNavigator`:
+
+  | Method | Description |
+  |--------|-------------|
+  | `rvListGeospatialAnchors(limit, offset)` | Paginated list |
+  | `rvGetGeospatialAnchor(anchorId)` | Fetch a single geospatial anchor |
+  | `rvFindNearbyGeospatialAnchors(lat, lng, radius, limit)` | GPS proximity search |
+  | `rvUpdateGeospatialAnchor(id, sceneAssetId, sceneId, name)` | Update metadata |
+  | `rvDeleteGeospatialAnchor(anchorId)` | Permanently delete |
+
+- **New `ViroProvider` type**
+
+  Canonical union type `"none" | "arcore" | "reactvision"` exported from the
+  package. Replaces the old `ViroCloudAnchorProvider` and `ViroGeospatialAnchorProvider`
+  (now deprecated aliases).
+
+- **ViroARPlaneSelector — tap-position object placement**
+
+  Objects placed as `children` of `ViroARPlaneSelector` now appear at the
+  exact point the user tapped, not at the plane's geometric centre.
+
+  The world-space tap position from `onClickState` is converted to the
+  plane's local coordinate space using the full inverse rotation matrix
+  (R = Rx·Ry·Rz, X-Y-Z Euler order as used by `VROMatrix4f`) and clamped
+  to the plane surface (Y = 0 in local space).  Children retain their own
+  Y offset (`position={[0, 0.5, 0]}` etc.) relative to the tap point.
+
+- **ViroARPlaneSelector — `onPlaneSelected` receives tap position**
+
+  ```ts
+  onPlaneSelected?: (plane: ViroPlaneUpdatedMap, tapPosition?: [number, number, number]) => void;
+  ```
+
+  `tapPosition` is the world-space ray–surface intersection point.
+
+- **ViroARPlaneSelector — `onPlaneRemoved` prop**
+
+  Called when ARKit/ARCore removes a tracked plane.  Receives the
+  `anchorId` string.  Selection is automatically cleared if the removed
+  plane was selected.
+
+- **ViroARSceneNavigator — `depthEnabled` prop**
+
+  Activates the depth sensor (LiDAR on supported iOS devices, monocular
+  depth estimator as fallback; ARCore Depth API on Android 1.18+) without
+  enabling occlusion rendering.  Virtual objects are **not** occluded, but
+  depth data becomes available for:
+  - `performARHitTest` — returns `DepthPoint` results
+  - distance measurement use-cases
+
+  When `occlusionMode="depthBased"` is set at the same time,
+  `occlusionMode` takes precedence and full depth-based occlusion is used
+  instead.
+
+  ```tsx
+  <ViroARSceneNavigator depthEnabled={true} ... />
+  ```
+
+  | Platform | Requirement |
+  |---|---|
+  | iOS | LiDAR device or monocular fallback (all devices) |
+  | Android | ARCore Depth API — ARCore 1.18+ |
+
+- **ViroARSceneNavigator — `depthDebugEnabled` prop**
+
+  Debug visualisation of the depth texture over the camera feed.  Colours
+  represent depth values: magenta = no data, blue = near, red = far.
+  Useful for verifying depth coverage before relying on hit-test results.
+
+  ```tsx
+  <ViroARSceneNavigator depthEnabled={true} depthDebugEnabled={true} ... />
+  ```
+
+  Default: `false`. Both iOS and Android.
+
+- **ViroARSceneNavigator — `preferMonocularDepth` prop (iOS only)**
+
+  When `true`, forces iOS to use the monocular depth estimator even on
+  LiDAR-equipped devices.  Useful for testing depth behaviour on older
+  hardware or when LiDAR accuracy is not required and power consumption
+  is a concern.
+
+  Default: `false` (LiDAR used when available).
+
+- **ViroARPlaneSelector — `hideOverlayOnSelection` prop**
+
+  Controls whether the plane overlay hides once a plane is selected.
+  Default `true` — the overlay disappears after selection so only your
+  `children` content remains visible.  Pass `false` to keep the overlay
+  visible (e.g. to show the plane boundary while the user repositions
+  content).  Unselected planes are always hidden after a selection
+  regardless of this prop.
+
+- **ViroARPlaneSelector — `material` prop**
+
+  Pass a `ViroMaterials`-registered material name to customise the plane
+  overlay surface.  Defaults to the built-in translucent blue.
+
+- **ViroARPlaneSelector — `handleAnchorRemoved` public method**
+
+  New public instance method matching `handleAnchorFound` /
+  `handleAnchorUpdated`.  Removes a plane from the visible set and
+  clears selection if needed.
+
+- **ARKit/ARCore plane detection — both orientations enabled by default**
+
+  Previously only horizontal planes were detected unless `anchorDetectionTypes`
+  was set explicitly.  The default is now horizontal + vertical at all layers:
+
+  | Layer | File |
+  |---|---|
+  | C++ default | `VROARScene.h` |
+  | iOS native default | `VRTARScene.mm` |
+  | JS fallback default | `ViroARScene.tsx` |
+
+- **Shader modifiers — custom `sampler2D` uniforms**
+
+  Shader modifier code can now declare and receive `uniform sampler2D` inputs.
+  Previously, sampler declarations in modifiers were silently ignored and the
+  GPU always read texture unit 0.  Now each named sampler is assigned its own
+  texture unit and bound correctly at draw time.
+
+  ```typescript
+  ViroMaterials.createMaterials({
+    noisyMetal: {
+      lightingModel: "PBR",
+      shaderModifiers: {
+        surface: {
+          uniforms: "uniform sampler2D noise_tex;",
+          body: `
+            float noise = texture(noise_tex, _surface.diffuse_texcoord * 3.0).r;
+            _surface.roughness = mix(0.2, 0.9, noise);
+            _surface.metalness = mix(0.4, 1.0, noise);
+          `
+        }
+      },
+      materialUniforms: [
+        { name: "noise_tex", type: "sampler2D", value: require("./textures/noise.png") }
+      ]
+    }
+  });
+  ```
+
+  `ViroShaderUniform.type` now accepts `"sampler2D"` and `value` accepts a
+  `require()` image reference.
+
+- **Shader modifiers — runtime texture uniform update**
+
+  `ViroMaterials.updateShaderUniform` now accepts `"sampler2D"` as a type,
+  allowing any texture bound to a modifier sampler to be swapped at runtime:
+
+  ```typescript
+  ViroMaterials.updateShaderUniform("colorGraded", "lut_tex", "sampler2D",
+    isDaytime ? require("./lut_day.png") : require("./lut_night.png"));
+  ```
+
+- **Shader modifiers — custom varyings between vertex and fragment stages**
+
+  A new `varyings` field on shader modifier entry points lets vertex-stage
+  (Geometry) modifiers pass typed data to fragment-stage (Surface / Fragment)
+  modifiers.  Declare the same name in both stages; the engine injects `out` /
+  `in` declarations automatically:
+
+  ```typescript
+  shaderModifiers: {
+    geometry: {
+      varyings: ["highp float displacement_amount"],
+      uniforms: "uniform float time;",
+      body: `
+        float wave = sin(_geometry.position.x * 4.0 + time) * 0.1;
+        _geometry.position.y += wave;
+        displacement_amount = abs(wave) / 0.1;
+      `
+    },
+    surface: {
+      varyings: ["highp float displacement_amount"],
+      body: `_surface.roughness = mix(0.1, 0.9, displacement_amount);`
+    }
+  }
+  ```
+
+- **Shader modifiers — scene depth buffer access**
+
+  Fragment modifier entry points can set `requiresSceneDepth: true` to receive
+  `scene_depth_texture` (sampler2D) and `scene_viewport_size` (vec2) automatically.
+  Enables soft particles, contact edge glow, depth-based fog, and intersection
+  effects.  On older Adreno/Mali GPUs that cannot sample the depth buffer in-pass,
+  the engine automatically inserts a blit to a `GL_R32F` color attachment.
+
+  ```typescript
+  fragment: {
+    requiresSceneDepth: true,
+    body: `
+      vec2 screenUV = gl_FragCoord.xy / scene_viewport_size;
+      float sceneDepth = texture(scene_depth_texture, screenUV).r;
+      float softFactor = clamp(abs(sceneDepth - gl_FragCoord.z) / 0.1, 0.0, 1.0);
+      _output_color.a *= softFactor;
+    `
+  }
+  ```
+
+- **Shader modifiers — live AR camera texture access**
+
+  Fragment modifier entry points can set `requiresCameraTexture: true` to
+  sample the live AR camera feed on any geometry.  Two uniforms are bound
+  automatically: `ar_camera_texture` (the camera feed) and `ar_camera_transform`
+  (a `mat3` correcting for device orientation and aspect ratio).  The sampler
+  type difference between platforms (`samplerExternalOES` on Android, `sampler2D`
+  on iOS) is handled invisibly — developer GLSL is identical on both platforms.
+
+  ```typescript
+  surface: {
+    requiresCameraTexture: true,
+    body: `
+      vec2 cameraUV = (ar_camera_transform * vec3(_surface.diffuse_texcoord, 1.0)).xy;
+      _surface.diffuse_color = texture(ar_camera_texture, cameraUV);
+    `
+  }
+  ```
+
+  Enables magnifying glass, portal, refraction, warp, and camera-feed-on-geometry
+  effects.
+
+- **Shader modifiers — deterministic priority ordering**
+
+  `VROShaderModifier` now has a `priority` field (default 0).  Multiple modifiers
+  on the same material are injected in ascending priority order.  Engine-internal
+  modifiers (AR shadow, occlusion) use priority -100; user modifiers default to 0;
+  debug overlays use 100.  Prevents engine modifiers from interfering with
+  user-defined effects regardless of attachment order.
+
+- **Updated `ViroShaderModifier` type**
+
+  ```typescript
+  export type ViroShaderModifier = {
+    uniforms?: string;
+    body?: string;
+    varyings?: string[];             // pass typed data from vertex to fragment stage
+    requiresSceneDepth?: boolean;    // auto-bind scene_depth_texture + scene_viewport_size
+    requiresCameraTexture?: boolean; // auto-bind ar_camera_texture + ar_camera_transform
+  };
+
+  export type ViroShaderUniform = {
+    name: string;
+    type: "float" | "vec2" | "vec3" | "vec4" | "mat4" | "sampler2D";
+    value: number | number[] | ReturnType<typeof require>;
+  };
+  ```
+
+### Fixed
+
+- **GLB/3D models — washed-out / overexposed colours** (`virocore/ViroRenderer/VROMaterialShaderBinding.cpp`, `standard_fsh.glsl`)
+
+  Models loaded from GLB files (and some OBJ/FBX assets) appeared overexposed or had their
+  colours washed out.  Root cause: `material_emissive_color` was being added to the fragment
+  shader output for every material, including those with no intentional emission.  GLB materials
+  often carry a non-zero emission value in their PBR data; added on top of the diffuse+specular
+  result it pushed the final colour toward white.  Removed the `material_emissive_color` and
+  `material_alpha_cutoff` uniforms from the standard shader binding — these were incorrectly
+  applied to all materials instead of only emissive/masked ones.
+
+- **Android — physics body crash on scene close** (`virocore/ViroRenderer/capi/Node_JNI.cpp`)
+
+  Closing a scene that contained physics-enabled nodes crashed with a null
+  pointer dereference at `VRONode::setTransformDelegate+56`.  The GL-thread
+  lambdas queued by `nativeSetTransformDelegate` and
+  `nativeRemoveTransformDelegate` called `node->setTransformDelegate()` without
+  first checking whether the `std::weak_ptr<VRONode>` had already expired.
+  Added an `if (!node) { return; }` guard in both lambdas so that a node
+  destroyed before the lambda runs is silently skipped instead of crashing.
+
+- **Android — New Architecture Metro error** (`viro/android/viro_bridge/…/PerfMonitor.java`)
+
+  "You should not use ReactNativeHost directly in the New Architecture" was
+  thrown during dev-menu initialisation.  `PerfMonitor.setView()` called
+  `getReactNativeHost().getReactInstanceManager().getDevSupportManager()`,
+  which throws under the New Architecture.  Replaced with the New-Arch API:
+  `getReactHost().getDevSupportManager()`.
+
+- **iOS — `startVideoRecording` silent failure / `stopVideoRecording` returns `{success: false, errorCode: 0}`** (`virocore/ios/ViroKit/VROViewRecorder.mm`, `VROViewAR.mm`)
+
+  Video recording was completely non-functional after the move to the React
+  Native New Architecture.  Several independent bugs combined to produce a
+  silent failure with no error callback and an empty URL on stop:
+
+  - `[AVAssetWriter startWriting]` return value was never checked.  A failed
+    writer still set `_isRecording = YES`, causing the stop path to hit the
+    `kVROViewErrorAlreadyStopped` branch and return `errorCode: 0`.
+  - The pixel buffer pool was never validated after `startWriting`.  A nil pool
+    produced a null `_videoPixelBuffer` used later without a check.
+  - `AVAssetWriter` was created before the video dimensions were validated; a
+    zero-size view (not yet laid out) produced an invalid writer.
+  - `AVAudioSession` was configured without `mode:AVAudioSessionModeVideoRecording`
+    and without `[session setActive:YES]`.  On iOS 17+ ARKit takes control of
+    the audio session, silently preventing `AVAudioRecorder` from writing data;
+    the resulting empty/unplayable audio file then caused `generateFinalVideoFile`
+    to call `handler(NO)` → `completionHandler(NO, nil, nil, kVROViewErrorUnknown)`.
+  - `generateFinalVideoFile` hard-failed when the audio file was missing or
+    unplayable, with no fallback.
+
+  Fixes applied:
+  - Added dimension guard (`kVROViewErrorInitialization`) before writer creation.
+  - Added `startWriting` return check with cleanup and `kVROViewErrorInitialization`.
+  - Added pixel buffer pool nil check with writer cancellation and error callback.
+  - Added nil check for `AVAudioRecorder` after `initWithURL:settings:error:`.
+  - Added `-record` return value check with a diagnostic log.
+  - Set `mode:AVAudioSessionModeVideoRecording` and `[session setActive:YES]` in
+    `VROViewAR` so the audio session is properly activated before recording starts.
+  - `generateFinalVideoFile` now falls back to video-only output when the audio
+    file is missing or unplayable, instead of failing the entire recording.
+
+- **ViroARPlaneSelector — index-mapping mismatch (root cause of ghost planes)**
+
+  The old implementation pre-allocated 25 `ViroARPlane` slots per alignment
+  and mapped them by JS array index.  The C++ constraint matcher assigns
+  anchors non-deterministically, so the slot at index `i` did not reliably
+  hold the plane `detectedPlanes[i]` referred to.  The rewrite uses one
+  `<ViroARPlane anchorId={id}>` per confirmed anchor — no mismatch possible.
+
+- **ViroARPlaneSelector — selected plane disappeared on selection**
+
+  Opacity was computed as `isSelected ? 0 : isVisible ? 1 : 0` — the
+  selected plane hid itself immediately after tap.  Fixed to
+  `selectedPlaneId === null || isSelected ? 1 : 0`.
+
+- **ViroARPlaneSelector — children duplicated across all plane slots**
+
+  Children were rendered inside every one of the 50 pre-allocated slots.
+  Now rendered once, only on the selected plane, wrapped in a `ViroNode`
+  at the tap position.
+
+- **ViroARPlaneSelector — `onPlaneDetected` return value ignored**
+
+  Returning `false` from `onPlaneDetected` previously had no effect.
+  Now correctly prevents the plane from being added to the visible set.
+
+- **ViroARPlaneSelector — removed planes not cleaned up**
+
+  Disappeared planes were never removed from internal state.  The new
+  `handleAnchorRemoved` deletes the entry from the Map and resets
+  selection if needed.
+
+- **VROARPlaneAnchor — `hasSignificantChanges` AND→OR threshold logic**
+
+  The previous implementation required *both* the absolute (>1 cm) *and*
+  the relative (>5 %) extent thresholds to pass simultaneously.  For large
+  planes (floors, walls) the relative check almost never passed once the
+  plane was mature, silently dropping most ARKit update notifications.
+  Fixed to OR: either threshold alone triggers an update.
+
+- **VROARPlaneAnchor — hard 100 ms update throttle suppressed early detection**
+
+  ARKit sends rapid update bursts in the first seconds of plane detection.
+  A fixed 100 ms minimum interval discarded most of them.  Replaced with
+  an adaptive throttle: 33 ms (≈30 fps) for the first 20 updates,
+  66 ms (≈15 fps) thereafter.
+
+### Changed
+
+- **`createGeospatialAnchor`, `createTerrainAnchor`, `createRooftopAnchor` — supported
+  with `provider="reactvision"`.**
+
+  GPS→AR placement uses Mercator projection + compass heading to compute the relative
+  AR-frame offset, then creates a native ARKit / ARCore local anchor. No VPS, no ARCore
+  Geospatial API, and no ARCore pods are required.
+
+  | Method | ReactVision placement |
+  |---|---|
+  | `createGeospatialAnchor(lat, lng, alt, quat)` | GPS absolute altitude |
+  | `createTerrainAnchor(lat, lng, altAboveTerrain, quat)` | `deviceAlt + altAboveTerrain` |
+  | `createRooftopAnchor(lat, lng, altAboveRooftop, quat)` | `deviceAlt + altAboveRooftop` |
+
+  The returned `anchorId` is a native AR anchor tracked by VIO for the session.
+  Placement accuracy matches device GPS accuracy (~3–10 m horizontally).
+
+- **ViroARPlaneSelector — `useActualShape` now defaults to `true`**
+
+  Previously the bounding-rect `ViroQuad` fallback was used whenever
+  vertices were absent; now the polygon path is always preferred and the
+  quad is only used as a fallback before ARKit provides boundary vertices.
+
+### ViroCore Integration
+
+This release integrates the ReactVision native backend into ViroCore:
+- Cloud anchor hosting and resolving via the ReactVision platform (Android + iOS)
+- Geospatial anchor CRUD, proximity search, and GPS→AR placement
+- `ReactVision` provider wired into the AR session layer on both platforms
+
+---
+
 ## v2.52.0 - 08 February 2026
 
 ### Added
diff --git a/android/react_viro/react_viro-release.aar b/android/react_viro/react_viro-release.aar
index 12121870..5d5b548d 100644
Binary files a/android/react_viro/react_viro-release.aar and b/android/react_viro/react_viro-release.aar differ
diff --git a/android/viro_bridge/src/main/java/com/reactvision/cca/RVHttpClient.java b/android/viro_bridge/src/main/java/com/reactvision/cca/RVHttpClient.java
new file mode 100644
index 00000000..87d79531
--- /dev/null
+++ b/android/viro_bridge/src/main/java/com/reactvision/cca/RVHttpClient.java
@@ -0,0 +1,214 @@
+// Copyright © 2026 ReactVision. All rights reserved.
+// Proprietary and Confidential
+//
+// Called from C++ via JNI (NetworkClient_Android.cpp).
+// Handles JSON, binary, and multipart HTTP requests using
+// HttpURLConnection — no extra dependencies required.
+
+package com.reactvision.cca;
+
+import java.io.ByteArrayOutputStream;
+import java.io.DataOutputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.net.HttpURLConnection;
+import java.net.URL;
+import java.nio.charset.StandardCharsets;
+import java.util.UUID;
+
+public class RVHttpClient {
+
+    // -----------------------------------------------------------------------
+    // JSON / binary request
+    //
+    // Returns String[3]: { statusCode, responseBody, errorMessage }
+    // statusCode = "0" means a connection-level error (not HTTP error).
+    // -----------------------------------------------------------------------
+    public static String[] send(
+            String method,
+            String url,
+            String apiKey,
+            String contentType,
+            byte[] body,
+            int timeoutSec,
+            String[] headerNames,
+            String[] headerValues) {
+
+        HttpURLConnection conn = null;
+        try {
+            conn = openConnection(url, method, apiKey, timeoutSec);
+
+            if (headerNames != null) {
+                for (int i = 0; i < headerNames.length; i++)
+                    conn.setRequestProperty(headerNames[i], headerValues[i]);
+            }
+
+            if (body != null && body.length > 0) {
+                conn.setDoOutput(true);
+                if (contentType != null && !contentType.isEmpty()) {
+                    conn.setRequestProperty("Content-Type", contentType);
+                }
+                conn.getOutputStream().write(body);
+            }
+
+            return readResponse(conn);
+
+        } catch (Exception e) {
+            return errorResult(e);
+        } finally {
+            if (conn != null) conn.disconnect();
+        }
+    }
+
+    // -----------------------------------------------------------------------
+    // Multipart/form-data upload
+    //
+    // Text fields: textNames[i] → textValues[i]
+    // File fields: fileNames[i], fileData[i], filenames[i], contentTypes[i]
+    //
+    // Returns String[3]: { statusCode, responseBody, errorMessage }
+    // -----------------------------------------------------------------------
+    public static String[] sendMultipart(
+            String   url,
+            String   apiKey,
+            int      timeoutSec,
+            String[] textNames,
+            String[] textValues,
+            String[] fileNames,
+            byte[][] fileData,
+            String[] filenames,
+            String[] contentTypes) {
+
+        HttpURLConnection conn = null;
+        try {
+            String boundary = "rvboundary"
+                    + UUID.randomUUID().toString().replace("-", "");
+
+            conn = openConnection(url, "POST", apiKey, timeoutSec);
+            conn.setDoOutput(true);
+            conn.setRequestProperty("Content-Type",
+                    "multipart/form-data; boundary=" + boundary);
+
+            try (DataOutputStream out =
+                         new DataOutputStream(conn.getOutputStream())) {
+
+                // Text fields
+                if (textNames != null) {
+                    for (int i = 0; i < textNames.length; i++) {
+                        writeTextPart(out, boundary, textNames[i], textValues[i]);
+                    }
+                }
+
+                // File fields
+                if (fileNames != null) {
+                    for (int i = 0; i < fileNames.length; i++) {
+                        writeFilePart(out, boundary,
+                                fileNames[i], filenames[i],
+                                contentTypes[i], fileData[i]);
+                    }
+                }
+
+                out.writeBytes("--" + boundary + "--\r\n");
+            }
+
+            return readResponse(conn);
+
+        } catch (Exception e) {
+            return errorResult(e);
+        } finally {
+            if (conn != null) conn.disconnect();
+        }
+    }
+
+    // -----------------------------------------------------------------------
+    // Binary download — no auth header (URL is typically pre-signed)
+    //
+    // Returns byte[] or null on error.
+    // -----------------------------------------------------------------------
+    public static byte[] downloadBinary(String url, int timeoutSec) {
+        HttpURLConnection conn = null;
+        try {
+            URL u = new URL(url);
+            conn = (HttpURLConnection) u.openConnection();
+            conn.setConnectTimeout(timeoutSec * 1000);
+            conn.setReadTimeout(timeoutSec * 1000);
+
+            int status = conn.getResponseCode();
+            if (status < 200 || status >= 300) return null;
+
+            return readAllBytes(conn.getInputStream());
+
+        } catch (Exception e) {
+            return null;
+        } finally {
+            if (conn != null) conn.disconnect();
+        }
+    }
+
+    // -----------------------------------------------------------------------
+    // Internals
+    // -----------------------------------------------------------------------
+
+    private static HttpURLConnection openConnection(
+            String url, String method, String apiKey, int timeoutSec)
+            throws IOException {
+
+        HttpURLConnection conn =
+                (HttpURLConnection) new URL(url).openConnection();
+        conn.setRequestMethod(method.toUpperCase());
+        conn.setConnectTimeout(timeoutSec * 1000);
+        conn.setReadTimeout(timeoutSec * 1000);
+        conn.setRequestProperty("x-api-key", apiKey);
+        conn.setInstanceFollowRedirects(true);
+        return conn;
+    }
+
+    private static String[] readResponse(HttpURLConnection conn)
+            throws IOException {
+
+        int status = conn.getResponseCode();
+        InputStream is = (status >= 200 && status < 300)
+                ? conn.getInputStream()
+                : conn.getErrorStream();
+
+        String body = "";
+        if (is != null) {
+            body = new String(readAllBytes(is), StandardCharsets.UTF_8);
+        }
+        return new String[]{ String.valueOf(status), body, "" };
+    }
+
+    private static String[] errorResult(Exception e) {
+        String msg = e.getMessage();
+        return new String[]{ "0", "", msg != null ? msg : "Unknown error" };
+    }
+
+    private static byte[] readAllBytes(InputStream is) throws IOException {
+        ByteArrayOutputStream baos = new ByteArrayOutputStream();
+        byte[] buf = new byte[8192];
+        int n;
+        while ((n = is.read(buf)) != -1) baos.write(buf, 0, n);
+        return baos.toByteArray();
+    }
+
+    private static void writeTextPart(
+            DataOutputStream out, String boundary,
+            String name, String value) throws IOException {
+        out.writeBytes("--" + boundary + "\r\n");
+        out.writeBytes("Content-Disposition: form-data; name=\"" + name + "\"\r\n\r\n");
+        out.write(value.getBytes(StandardCharsets.UTF_8));
+        out.writeBytes("\r\n");
+    }
+
+    private static void writeFilePart(
+            DataOutputStream out, String boundary,
+            String fieldName, String filename,
+            String contentType, byte[] data) throws IOException {
+        out.writeBytes("--" + boundary + "\r\n");
+        out.writeBytes("Content-Disposition: form-data; name=\""
+                + fieldName + "\"; filename=\"" + filename + "\"\r\n");
+        out.writeBytes("Content-Type: " + contentType + "\r\n\r\n");
+        out.write(data);
+        out.writeBytes("\r\n");
+    }
+}
diff --git a/android/viro_bridge/src/main/java/com/viromedia/bridge/component/VRTARSceneNavigator.java b/android/viro_bridge/src/main/java/com/viromedia/bridge/component/VRTARSceneNavigator.java
index e08be8b1..dfe2188f 100644
--- a/android/viro_bridge/src/main/java/com/viromedia/bridge/component/VRTARSceneNavigator.java
+++ b/android/viro_bridge/src/main/java/com/viromedia/bridge/component/VRTARSceneNavigator.java
@@ -21,6 +21,16 @@
 
 package com.viromedia.bridge.component;
 
+import android.Manifest;
+import android.content.pm.PackageManager;
+import android.hardware.Sensor;
+import android.hardware.SensorEvent;
+import android.hardware.SensorEventListener;
+import android.hardware.SensorManager;
+import android.location.Location;
+import android.location.LocationListener;
+import android.location.LocationManager;
+import android.os.Bundle;
 import android.os.Handler;
 import android.os.Looper;
 import android.util.Log;
@@ -54,6 +64,8 @@ public class VRTARSceneNavigator extends VRT3DSceneNavigator {
     private boolean mNeedsAutoFocusToggle = false;
     private ARScene.OcclusionMode mOcclusionMode = ARScene.OcclusionMode.DISABLED;
     private boolean mNeedsOcclusionModeToggle = false;
+    private boolean mDepthEnabled = false;
+    private boolean mNeedsDepthEnabledToggle = false;
 
     // Pending configuration for features that may be set before session is ready
     private boolean mSemanticModeEnabled = false;
@@ -106,6 +118,12 @@ public void run() {
                 navigator.mNeedsOcclusionModeToggle = false;
             }
 
+            // Apply pending depthEnabled configuration
+            if (navigator.mNeedsDepthEnabledToggle) {
+                navigator.applyOcclusionMode();
+                navigator.mNeedsDepthEnabledToggle = false;
+            }
+
             // Apply pending semantic mode configuration
             if (navigator.mNeedsSemanticModeToggle) {
                 navigator.applySemanticModeEnabled();
@@ -168,9 +186,9 @@ public void addView(View child, int index) {
         }
         super.addView(child, index);
 
-        // Apply current occlusion mode to newly added ARScenes
+        // Apply current effective occlusion mode to newly added ARScenes
         if (child instanceof VRTARScene) {
-            ((VRTARScene) child).setOcclusionMode(mOcclusionMode);
+            ((VRTARScene) child).setOcclusionMode(computeEffectiveOcclusionMode());
         }
     }
 
@@ -230,6 +248,9 @@ protected void onDetachedFromWindow() {
             android.util.Log.i(TAG, "  Rotation listener disabled");
         }
 
+        // Stop GPS/sensor callbacks before disposal to avoid use-after-free in pushLocationToNative
+        stopRVLocationUpdates();
+
         // Pause AR session before disposal
         ViroViewARCore arView = getARView();
         if (arView != null) {
@@ -322,35 +343,78 @@ public void setOcclusionMode(String mode) {
         }
     }
 
+    public void setDepthEnabled(boolean enabled) {
+        mDepthEnabled = enabled;
+        android.util.Log.i(TAG, "[OCCLUSION] setDepthEnabled: " + enabled + ", mGLInitialized: " + mGLInitialized);
+        if (mGLInitialized) {
+            applyOcclusionMode();
+        } else {
+            mNeedsDepthEnabledToggle = true;
+        }
+    }
+
     /**
-     * Apply occlusion mode to all existing ARScenes.
+     * Compute the effective occlusion mode based on occlusionMode prop and depthEnabled prop.
+     * Explicit occlusionMode always takes precedence over depthEnabled.
+     */
+    private ARScene.OcclusionMode computeEffectiveOcclusionMode() {
+        if (mOcclusionMode == ARScene.OcclusionMode.DEPTH_BASED) return ARScene.OcclusionMode.DEPTH_BASED;
+        if (mOcclusionMode == ARScene.OcclusionMode.PEOPLE_ONLY) return ARScene.OcclusionMode.PEOPLE_ONLY;
+        if (mDepthEnabled) return ARScene.OcclusionMode.DEPTH_ONLY;
+        return ARScene.OcclusionMode.DISABLED;
+    }
+
+    /**
+     * Apply effective occlusion mode to all existing ARScenes.
      * Called either immediately when GL is ready, or deferred via onSuccess callback.
      */
     private void applyOcclusionMode() {
-        android.util.Log.i(TAG, "[OCCLUSION] applyOcclusionMode: applying mode " + mOcclusionMode + " to " + getChildCount() + " children");
+        ARScene.OcclusionMode effective = computeEffectiveOcclusionMode();
+        android.util.Log.i(TAG, "[OCCLUSION] applyOcclusionMode: applying effective mode " + effective + " to " + getChildCount() + " children");
         for (int i = 0; i < getChildCount(); i++) {
             View child = getChildAt(i);
             if (child instanceof VRTARScene) {
                 android.util.Log.i(TAG, "[OCCLUSION] applyOcclusionMode: applying to VRTARScene child " + i);
-                ((VRTARScene) child).setOcclusionMode(mOcclusionMode);
+                ((VRTARScene) child).setOcclusionMode(effective);
             }
         }
     }
 
     /**
-     * Get the current occlusion mode. Used when adding new scenes so they
+     * Get the current effective occlusion mode. Used when adding new scenes so they
      * inherit the navigator's occlusion setting.
      */
     public ARScene.OcclusionMode getOcclusionMode() {
-        return mOcclusionMode;
+        return computeEffectiveOcclusionMode();
     }
 
     // Cloud Anchor Support
 
     private String mCloudAnchorProvider = "none";
+    private String mRvApiKey = null;
+    private String mRvProjectId = null;
+    // Improvement 5: track whether credentials have been pushed to the native session
+    // so setReactVisionConfig() is called exactly once per provider activation.
+    private boolean mRvConfigApplied = false;
+    private boolean mGeoProviderApplied = false;
     private static final String TAG = "ViroAR";
 
+    // ReactVision GPS pose support
+    private LocationManager mLocationManager = null;
+    private LocationListener mLocationListener = null;
+    private SensorManager mSensorManager = null;
+    private SensorEventListener mSensorListener = null;
+    private double mLastHeading = 0.0;
+    private double mLastHeadingAccuracy = 0.0;
+    private double mLastLat = 0.0;
+    private double mLastLng = 0.0;
+    private double mLastAlt = 0.0;
+    private double mLastHorizAcc = 0.0;
+    private double mLastVertAcc = 0.0;
+
     public void setCloudAnchorProvider(String provider) {
+        // Improvement 5: reset so credentials are re-applied on next host/resolve
+        mRvConfigApplied = false;
         mCloudAnchorProvider = provider != null ? provider.toLowerCase() : "none";
 
         Log.i(TAG, "Setting cloud anchor provider: " + mCloudAnchorProvider);
@@ -375,6 +439,41 @@ public void setCloudAnchorProvider(String provider) {
             } catch (Exception e) {
                 Log.w(TAG, "Could not check for ARCore API key: " + e.getMessage());
             }
+        } else if ("reactvision".equals(mCloudAnchorProvider)) {
+            Log.i(TAG, "ReactVision Cloud Anchors provider enabled");
+            // libreactvisioncca.so is a dynamic dependency of libviro_renderer.so and is
+            // loaded transitively by the linker, but Android only calls JNI_OnLoad for
+            // libraries explicitly loaded via System.loadLibrary. Without this call g_jvm
+            // stays null and all JNI network calls fail with "JNI unavailable".
+            try {
+                System.loadLibrary("reactvisioncca");
+            } catch (UnsatisfiedLinkError e) {
+                Log.w(TAG, "Could not load libreactvisioncca.so: " + e.getMessage());
+            }
+
+            // Read ReactVision credentials from AndroidManifest meta-data
+            try {
+                android.content.pm.ApplicationInfo ai = getContext().getPackageManager()
+                    .getApplicationInfo(getContext().getPackageName(), android.content.pm.PackageManager.GET_META_DATA);
+                if (ai.metaData != null) {
+                    mRvApiKey = ai.metaData.getString("com.reactvision.RVApiKey");
+                    mRvProjectId = ai.metaData.getString("com.reactvision.RVProjectId");
+                    if (mRvApiKey != null && !mRvApiKey.isEmpty()) {
+                        Log.i(TAG, "ReactVision API key found in AndroidManifest.xml");
+                    } else {
+                        Log.w(TAG, "WARNING: com.reactvision.RVApiKey not found in AndroidManifest.xml. ReactVision cloud anchors will not work!");
+                    }
+                } else {
+                    Log.w(TAG, "WARNING: No meta-data found in AndroidManifest.xml. ReactVision cloud anchors may not work!");
+                }
+            } catch (Exception e) {
+                Log.w(TAG, "Could not check for ReactVision credentials: " + e.getMessage());
+            }
+
+            // Configure the AR scene if it is already available; otherwise the credentials
+            // are stored in mRvApiKey/mRvProjectId and applied lazily in host/resolve.
+            ARScene arScene = getCurrentARScene();
+            ensureRvConfigApplied(arScene);
         } else {
             Log.i(TAG, "Cloud Anchors disabled");
         }
@@ -398,10 +497,50 @@ private ARScene getCurrentARScene() {
         return null;
     }
 
+    /**
+     * Improvement 5: apply ReactVision credentials to the native AR session exactly once
+     * per provider activation. Subsequent calls to hostCloudAnchor / resolveCloudAnchor
+     * skip the JNI call because the session already has the credentials.
+     */
+    private void ensureRvConfigApplied(ARScene arScene) {
+        if (mRvConfigApplied) return;
+        if (!"reactvision".equals(mCloudAnchorProvider)) return;
+        if (arScene == null) return;
+        if (mRvApiKey == null || mRvApiKey.isEmpty()) return;
+        arScene.setReactVisionConfig(mRvApiKey, mRvProjectId != null ? mRvProjectId : "");
+        mRvConfigApplied = true;
+    }
+
+    private void ensureGeoProviderApplied(ARScene arScene) {
+        if (mGeoProviderApplied) return;
+        if (!"reactvision".equals(mGeospatialAnchorProvider)) return;
+        if (arScene == null) return;
+        if (mRvApiKey == null || mRvApiKey.isEmpty()) return;
+        // setReactVisionConfig queues credentials on renderer thread first;
+        // setGeospatialAnchorProvider queues provider init after it (FIFO).
+        arScene.setReactVisionConfig(mRvApiKey, mRvProjectId != null ? mRvProjectId : "");
+        arScene.setGeospatialAnchorProvider("reactvision");
+        mGeoProviderApplied = true;
+    }
+
+    /**
+     * Improvement 2: split the "message|StateString" encoding produced by the C++ layer
+     * (encodeError in VROCloudAnchorProviderReactVision.cpp) into a [message, state] pair.
+     * Falls back to [raw, "ErrorInternal"] if the separator is absent (e.g. ARCore errors).
+     */
+    private static String[] splitErrorState(String raw) {
+        if (raw == null) return new String[]{"Unknown error", "ErrorInternal"};
+        int sep = raw.lastIndexOf('|');
+        if (sep >= 0) {
+            return new String[]{raw.substring(0, sep), raw.substring(sep + 1)};
+        }
+        return new String[]{raw, "ErrorInternal"};
+    }
+
     public void hostCloudAnchor(String anchorId, int ttlDays,
                                 ARSceneNavigatorModule.CloudAnchorCallback callback) {
-        if (!"arcore".equals(mCloudAnchorProvider)) {
-            callback.onFailure("Cloud anchor provider not configured. Set cloudAnchorProvider='arcore' to enable.",
+        if (!"arcore".equals(mCloudAnchorProvider) && !"reactvision".equals(mCloudAnchorProvider)) {
+            callback.onFailure("Cloud anchor provider not configured. Set cloudAnchorProvider='arcore' or 'reactvision' to enable.",
                                "ErrorInternal");
             return;
         }
@@ -412,26 +551,38 @@ public void hostCloudAnchor(String anchorId, int ttlDays,
             return;
         }
 
-        // Host the anchor using ARCore's cloud anchor API
+        // Improvement 5: apply credentials once per provider activation
+        ensureRvConfigApplied(arScene);
+
+        // Host the anchor via the configured cloud anchor provider
         // The native layer handles anchor lookup by ID
         arScene.hostCloudAnchorById(anchorId, ttlDays, new ARScene.CloudAnchorHostListener() {
             @Override
             public void onSuccess(ARAnchor cloudAnchor, ARNode arNode) {
-                // Get the cloud anchor ID from the returned anchor
-                callback.onSuccess(cloudAnchor.getCloudAnchorId());
+                // RVCA sets anchor.setId(cloudId) alongside setCloudAnchorId(cloudId).
+                // On Android, getCloudAnchorId() can be null due to VROARAnchorARCore
+                // field shadowing; fall back to getAnchorId() which is set to cloudId
+                // via the non-shadowed VROARAnchor::_id field.
+                String cloudId = cloudAnchor.getCloudAnchorId();
+                if (cloudId == null || cloudId.isEmpty()) {
+                    cloudId = cloudAnchor.getAnchorId();
+                }
+                callback.onSuccess(cloudId);
             }
 
             @Override
             public void onFailure(String error) {
-                callback.onFailure(error, "ErrorInternal");
+                // Improvement 2: split "message|StateString" encoded by C++ layer
+                String[] parts = splitErrorState(error);
+                callback.onFailure(parts[0], parts[1]);
             }
         });
     }
 
     public void resolveCloudAnchor(String cloudAnchorId,
                                    ARSceneNavigatorModule.CloudAnchorResolveCallback callback) {
-        if (!"arcore".equals(mCloudAnchorProvider)) {
-            callback.onFailure("Cloud anchor provider not configured. Set cloudAnchorProvider='arcore' to enable.",
+        if (!"arcore".equals(mCloudAnchorProvider) && !"reactvision".equals(mCloudAnchorProvider)) {
+            callback.onFailure("Cloud anchor provider not configured. Set cloudAnchorProvider='arcore' or 'reactvision' to enable.",
                                "ErrorInternal");
             return;
         }
@@ -442,18 +593,22 @@ public void resolveCloudAnchor(String cloudAnchorId,
             return;
         }
 
-        // Resolve the cloud anchor
+        // Improvement 5: apply credentials once per provider activation
+        ensureRvConfigApplied(arScene);
+
+        // Resolve the cloud anchor via the configured provider
         arScene.resolveCloudAnchor(cloudAnchorId, new ARScene.CloudAnchorResolveListener() {
             @Override
             public void onSuccess(ARAnchor anchor, ARNode arNode) {
-                // Convert anchor to WritableMap using ARUtils
                 WritableMap anchorData = ARUtils.mapFromARAnchor(anchor);
                 callback.onSuccess(anchorData);
             }
 
             @Override
             public void onFailure(String error) {
-                callback.onFailure(error, "ErrorInternal");
+                // Improvement 2: split "message|StateString" encoded by C++ layer
+                String[] parts = splitErrorState(error);
+                callback.onFailure(parts[0], parts[1]);
             }
         });
     }
@@ -470,12 +625,14 @@ public void cancelCloudAnchorOperations() {
     private String mGeospatialAnchorProvider = "none";
 
     public void setGeospatialAnchorProvider(String provider) {
+        mGeoProviderApplied = false;
         mGeospatialAnchorProvider = provider != null ? provider.toLowerCase() : "none";
 
         Log.i(TAG, "Setting geospatial anchor provider: " + mGeospatialAnchorProvider);
 
         if ("arcore".equals(mGeospatialAnchorProvider)) {
             Log.i(TAG, "ARCore Geospatial provider enabled");
+            stopRVLocationUpdates();
 
             // Check if API key is configured in AndroidManifest
             try {
@@ -494,8 +651,43 @@ public void setGeospatialAnchorProvider(String provider) {
             } catch (Exception e) {
                 Log.w(TAG, "Could not check for ARCore API key: " + e.getMessage());
             }
+        } else if ("reactvision".equals(mGeospatialAnchorProvider)) {
+            Log.i(TAG, "ReactVision Geospatial provider enabled");
+
+            // Read ReactVision credentials from AndroidManifest meta-data
+            try {
+                android.content.pm.ApplicationInfo ai = getContext().getPackageManager()
+                    .getApplicationInfo(getContext().getPackageName(), android.content.pm.PackageManager.GET_META_DATA);
+                if (ai.metaData != null) {
+                    String rvApiKey   = ai.metaData.getString("com.reactvision.RVApiKey");
+                    String rvProjectId = ai.metaData.getString("com.reactvision.RVProjectId");
+                    if (rvApiKey != null && !rvApiKey.isEmpty()) {
+                        Log.i(TAG, "ReactVision API key found in AndroidManifest.xml");
+                        // Push credentials then activate the geospatial provider.
+                        // Both calls dispatch to the renderer thread in FIFO order, so
+                        // setGeospatialAnchorProvider always runs after setReactVisionConfig.
+                        ARScene arScene = getCurrentARScene();
+                        if (arScene != null) {
+                            arScene.setReactVisionConfig(rvApiKey,
+                                rvProjectId != null ? rvProjectId : "");
+                            arScene.setGeospatialAnchorProvider("reactvision");
+                        } else {
+                            // Store for lazy application once the scene becomes available.
+                            mRvApiKey     = rvApiKey;
+                            mRvProjectId  = rvProjectId != null ? rvProjectId : "";
+                        }
+                    } else {
+                        Log.w(TAG, "WARNING: com.reactvision.RVApiKey not found in AndroidManifest.xml. ReactVision Geospatial will not work!");
+                    }
+                }
+            } catch (Exception e) {
+                Log.w(TAG, "Could not check for ReactVision credentials: " + e.getMessage());
+            }
+            // Start GPS + compass updates for getCameraGeospatialPose()
+            startRVLocationUpdates();
         } else {
             Log.i(TAG, "Geospatial provider disabled");
+            stopRVLocationUpdates();
         }
     }
 
@@ -529,6 +721,100 @@ private void applyGeospatialModeEnabled() {
         Log.i(TAG, "Geospatial mode applied: " + (mGeospatialModeEnabled ? "enabled" : "disabled"));
     }
 
+    private void startRVLocationUpdates() {
+        if (mLocationManager != null) return; // already started
+        try {
+            android.content.Context ctx = getContext();
+            mLocationManager = (LocationManager) ctx.getSystemService(android.content.Context.LOCATION_SERVICE);
+            if (mLocationManager == null) return;
+
+            mLocationListener = new LocationListener() {
+                @Override
+                public void onLocationChanged(Location location) {
+                    mLastLat      = location.getLatitude();
+                    mLastLng      = location.getLongitude();
+                    mLastAlt      = location.getAltitude();
+                    mLastHorizAcc = location.getAccuracy();
+                    mLastVertAcc  = location.hasVerticalAccuracy()
+                                    ? location.getVerticalAccuracyMeters() : mLastHorizAcc;
+                    pushLocationToNative();
+                }
+                @Override public void onStatusChanged(String p, int s, Bundle e) {}
+                @Override public void onProviderEnabled(String p) {}
+                @Override public void onProviderDisabled(String p) {}
+            };
+
+            boolean hasFine = ctx.checkSelfPermission(Manifest.permission.ACCESS_FINE_LOCATION)
+                              == PackageManager.PERMISSION_GRANTED;
+            boolean hasCoarse = ctx.checkSelfPermission(Manifest.permission.ACCESS_COARSE_LOCATION)
+                                == PackageManager.PERMISSION_GRANTED;
+            if (hasFine) {
+                mLocationManager.requestLocationUpdates(LocationManager.GPS_PROVIDER,
+                        1000L, 0f, mLocationListener, Looper.getMainLooper());
+            } else if (hasCoarse) {
+                mLocationManager.requestLocationUpdates(LocationManager.NETWORK_PROVIDER,
+                        1000L, 0f, mLocationListener, Looper.getMainLooper());
+            } else {
+                Log.w(TAG, "No location permission — ReactVision GPS pose unavailable");
+                mLocationManager = null;
+                mLocationListener = null;
+                return;
+            }
+
+            // Heading from rotation vector sensor (fuses gyro + compass)
+            mSensorManager = (SensorManager) ctx.getSystemService(android.content.Context.SENSOR_SERVICE);
+            if (mSensorManager != null) {
+                Sensor rotSensor = mSensorManager.getDefaultSensor(Sensor.TYPE_ROTATION_VECTOR);
+                if (rotSensor != null) {
+                    mSensorListener = new SensorEventListener() {
+                        private final float[] rotMatrix = new float[9];
+                        private final float[] orientation = new float[3];
+                        @Override
+                        public void onSensorChanged(SensorEvent event) {
+                            SensorManager.getRotationMatrixFromVector(rotMatrix, event.values);
+                            SensorManager.getOrientation(rotMatrix, orientation);
+                            double azimuthRad = orientation[0]; // radians, North=0, clockwise
+                            double heading = Math.toDegrees(azimuthRad);
+                            if (heading < 0) heading += 360.0;
+                            mLastHeading = heading;
+                            // Accuracy from sensor accuracy level (approximate degrees)
+                            mLastHeadingAccuracy = event.accuracy == SensorManager.SENSOR_STATUS_ACCURACY_HIGH ? 5.0
+                                    : event.accuracy == SensorManager.SENSOR_STATUS_ACCURACY_MEDIUM ? 15.0 : 45.0;
+                            pushLocationToNative();
+                        }
+                        @Override public void onAccuracyChanged(Sensor s, int a) {}
+                    };
+                    mSensorManager.registerListener(mSensorListener, rotSensor,
+                            SensorManager.SENSOR_DELAY_UI, new Handler(Looper.getMainLooper()));
+                }
+            }
+        } catch (Exception e) {
+            Log.w(TAG, "Failed to start location updates: " + e.getMessage());
+        }
+    }
+
+    private void stopRVLocationUpdates() {
+        if (mLocationManager != null && mLocationListener != null) {
+            try { mLocationManager.removeUpdates(mLocationListener); } catch (Exception ignored) {}
+        }
+        if (mSensorManager != null && mSensorListener != null) {
+            mSensorManager.unregisterListener(mSensorListener);
+        }
+        mLocationManager = null;
+        mLocationListener = null;
+        mSensorManager = null;
+        mSensorListener = null;
+    }
+
+    private void pushLocationToNative() {
+        ARScene arScene = getCurrentARScene();
+        if (arScene != null) {
+            arScene.setLastKnownLocation(mLastLat, mLastLng, mLastAlt,
+                                         mLastHorizAcc, mLastVertAcc,
+                                         mLastHeading, mLastHeadingAccuracy);
+        }
+    }
+
     public String getEarthTrackingState() {
         ARScene arScene = getCurrentARScene();
         if (arScene == null) {
@@ -547,8 +833,8 @@ public String getEarthTrackingState() {
     }
 
     public void getCameraGeospatialPose(ARSceneNavigatorModule.GeospatialPoseCallback callback) {
-        if (!"arcore".equals(mGeospatialAnchorProvider)) {
-            callback.onFailure("Geospatial provider not configured. Set geospatialAnchorProvider='arcore' to enable.");
+        if ("none".equals(mGeospatialAnchorProvider)) {
+            callback.onFailure("Geospatial provider not configured. Set geospatialAnchorProvider to enable.");
             return;
         }
 
@@ -558,6 +844,7 @@ public void getCameraGeospatialPose(ARSceneNavigatorModule.GeospatialPoseCallbac
             return;
         }
 
+        ensureGeoProviderApplied(arScene);
         arScene.getCameraGeospatialPose(new ARScene.GeospatialPoseListener() {
             @Override
             public void onSuccess(ARScene.GeospatialPose pose) {
@@ -573,7 +860,7 @@ public void onFailure(String error) {
 
     public void checkVPSAvailability(double latitude, double longitude,
                                       ARSceneNavigatorModule.VPSAvailabilityCallback callback) {
-        if (!"arcore".equals(mGeospatialAnchorProvider)) {
+        if ("none".equals(mGeospatialAnchorProvider)) {
             callback.onResult("Unknown");
             return;
         }
@@ -605,8 +892,8 @@ public void onResult(ARScene.VPSAvailability availability) {
     public void createGeospatialAnchor(double latitude, double longitude, double altitude,
                                         float[] quaternion,
                                         ARSceneNavigatorModule.GeospatialAnchorCallback callback) {
-        if (!"arcore".equals(mGeospatialAnchorProvider)) {
-            callback.onFailure("Geospatial provider not configured. Set geospatialAnchorProvider='arcore' to enable.");
+        if ("none".equals(mGeospatialAnchorProvider)) {
+            callback.onFailure("Geospatial provider not configured. Set geospatialAnchorProvider prop to enable.");
             return;
         }
 
@@ -616,6 +903,7 @@ public void createGeospatialAnchor(double latitude, double longitude, double alt
             return;
         }
 
+        ensureGeoProviderApplied(arScene);
         arScene.createGeospatialAnchor(latitude, longitude, altitude, quaternion,
             new ARScene.GeospatialAnchorListener() {
                 @Override
@@ -630,11 +918,50 @@ public void onFailure(String error) {
             });
     }
 
+    public void hostGeospatialAnchor(double latitude, double longitude, double altitude,
+                                      String altitudeMode,
+                                      ARSceneNavigatorModule.HostGeospatialAnchorCallback callback) {
+        if (!"reactvision".equals(mGeospatialAnchorProvider)) {
+            callback.onFailure("hostGeospatialAnchor requires the ReactVision geospatial provider.");
+            return;
+        }
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) {
+            callback.onFailure("AR scene not available");
+            return;
+        }
+        ensureGeoProviderApplied(arScene);
+        arScene.hostGeospatialAnchor(latitude, longitude, altitude, altitudeMode,
+            new ARScene.HostGeospatialAnchorListener() {
+                @Override public void onSuccess(String platformUuid) { callback.onSuccess(platformUuid); }
+                @Override public void onFailure(String error) { callback.onFailure(error); }
+            });
+    }
+
+    public void resolveGeospatialAnchor(String platformUuid, float[] quaternion,
+                                         ARSceneNavigatorModule.GeospatialAnchorCallback callback) {
+        if (!"reactvision".equals(mGeospatialAnchorProvider)) {
+            callback.onFailure("resolveGeospatialAnchor requires the ReactVision geospatial provider.");
+            return;
+        }
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) {
+            callback.onFailure("AR scene not available");
+            return;
+        }
+        ensureGeoProviderApplied(arScene);
+        arScene.resolveGeospatialAnchor(platformUuid, quaternion,
+            new ARScene.GeospatialAnchorListener() {
+                @Override public void onSuccess(ARScene.GeospatialAnchor anchor) { callback.onSuccess(anchor); }
+                @Override public void onFailure(String error) { callback.onFailure(error); }
+            });
+    }
+
     public void createTerrainAnchor(double latitude, double longitude, double altitudeAboveTerrain,
                                      float[] quaternion,
                                      ARSceneNavigatorModule.GeospatialAnchorCallback callback) {
-        if (!"arcore".equals(mGeospatialAnchorProvider)) {
-            callback.onFailure("Geospatial provider not configured. Set geospatialAnchorProvider='arcore' to enable.");
+        if ("none".equals(mGeospatialAnchorProvider)) {
+            callback.onFailure("Geospatial provider not configured. Set geospatialAnchorProvider prop to enable.");
             return;
         }
 
@@ -661,8 +988,8 @@ public void onFailure(String error) {
     public void createRooftopAnchor(double latitude, double longitude, double altitudeAboveRooftop,
                                      float[] quaternion,
                                      ARSceneNavigatorModule.GeospatialAnchorCallback callback) {
-        if (!"arcore".equals(mGeospatialAnchorProvider)) {
-            callback.onFailure("Geospatial provider not configured. Set geospatialAnchorProvider='arcore' to enable.");
+        if ("none".equals(mGeospatialAnchorProvider)) {
+            callback.onFailure("Geospatial provider not configured. Set geospatialAnchorProvider prop to enable.");
             return;
         }
 
@@ -694,6 +1021,133 @@ public void removeGeospatialAnchor(String anchorId) {
         arScene.removeGeospatialAnchor(anchorId);
     }
 
+    public void rvGetGeospatialAnchor(String anchorId, ARScene.RvGeospatialCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) {
+            if (callback != null) callback.onResult(false, "", "AR scene not available");
+            return;
+        }
+        ensureGeoProviderApplied(arScene);
+        arScene.rvGetGeospatialAnchor(anchorId, callback);
+    }
+
+    public void rvFindNearbyGeospatialAnchors(double lat, double lng, double radius, int limit,
+                                               ARScene.RvGeospatialCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) {
+            if (callback != null) callback.onResult(false, "", "AR scene not available");
+            return;
+        }
+        ensureGeoProviderApplied(arScene);
+        arScene.rvFindNearbyGeospatialAnchors(lat, lng, radius, limit, callback);
+    }
+
+    public void rvUpdateGeospatialAnchor(String anchorId, String sceneAssetId, String sceneId,
+                                          String name, String userAssetId,
+                                          ARScene.RvGeospatialCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) {
+            if (callback != null) callback.onResult(false, "", "AR scene not available");
+            return;
+        }
+        ensureGeoProviderApplied(arScene);
+        arScene.rvUpdateGeospatialAnchor(anchorId, sceneAssetId, sceneId, name, userAssetId, callback);
+    }
+
+    public void rvUploadAsset(String filePath, String assetType, String fileName,
+                               String appUserId, ARScene.RvUploadAssetCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) {
+            if (callback != null) callback.onResult(false, "", "", "AR scene not available");
+            return;
+        }
+        ensureGeoProviderApplied(arScene);
+        arScene.rvUploadAsset(filePath, assetType, fileName, appUserId, callback);
+    }
+
+    public void rvDeleteGeospatialAnchor(String anchorId, ARScene.RvGeospatialCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) {
+            if (callback != null) callback.onResult(false, "", "AR scene not available");
+            return;
+        }
+        ensureGeoProviderApplied(arScene);
+        arScene.rvDeleteGeospatialAnchor(anchorId, callback);
+    }
+
+    public void rvListGeospatialAnchors(int limit, int offset, ARScene.RvGeospatialCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) { if (callback != null) callback.onResult(false, "", "AR scene not available"); return; }
+        ensureGeoProviderApplied(arScene);
+        arScene.rvListGeospatialAnchors(limit, offset, callback);
+    }
+
+    // Cloud anchor management
+    public void rvGetCloudAnchor(String anchorId, ARScene.RvCloudAnchorCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) { if (callback != null) callback.onResult(false, "", "AR scene not available"); return; }
+        ensureRvConfigApplied(arScene);
+        arScene.rvGetCloudAnchor(anchorId, callback);
+    }
+
+    public void rvListCloudAnchors(int limit, int offset, ARScene.RvCloudAnchorCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) { if (callback != null) callback.onResult(false, "", "AR scene not available"); return; }
+        ensureRvConfigApplied(arScene);
+        arScene.rvListCloudAnchors(limit, offset, callback);
+    }
+
+    public void rvUpdateCloudAnchor(String anchorId, String name, String description,
+                                     boolean isPublic, ARScene.RvCloudAnchorCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) { if (callback != null) callback.onResult(false, "", "AR scene not available"); return; }
+        ensureRvConfigApplied(arScene);
+        arScene.rvUpdateCloudAnchor(anchorId, name, description, isPublic, callback);
+    }
+
+    public void rvDeleteCloudAnchor(String anchorId, ARScene.RvCloudAnchorCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) { if (callback != null) callback.onResult(false, "", "AR scene not available"); return; }
+        ensureRvConfigApplied(arScene);
+        arScene.rvDeleteCloudAnchor(anchorId, callback);
+    }
+
+    public void rvFindNearbyCloudAnchors(double lat, double lng, double radius, int limit,
+                                          ARScene.RvCloudAnchorCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) { if (callback != null) callback.onResult(false, "", "AR scene not available"); return; }
+        ensureRvConfigApplied(arScene);
+        arScene.rvFindNearbyCloudAnchors(lat, lng, radius, limit, callback);
+    }
+
+    public void rvAttachAssetToCloudAnchor(String anchorId, String fileUrl, long fileSize,
+                                            String name, String assetType, String externalUserId,
+                                            ARScene.RvCloudAnchorCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) { if (callback != null) callback.onResult(false, "", "AR scene not available"); return; }
+        ensureRvConfigApplied(arScene);
+        arScene.rvAttachAssetToCloudAnchor(anchorId, fileUrl, fileSize, name, assetType, externalUserId, callback);
+    }
+
+    public void rvRemoveAssetFromCloudAnchor(String anchorId, String assetId,
+                                              ARScene.RvCloudAnchorCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) { if (callback != null) callback.onResult(false, "", "AR scene not available"); return; }
+        ensureRvConfigApplied(arScene);
+        arScene.rvRemoveAssetFromCloudAnchor(anchorId, assetId, callback);
+    }
+
+    public void rvTrackCloudAnchorResolution(String anchorId, boolean success, double confidence,
+                                              int matchCount, int inlierCount, int processingTimeMs,
+                                              String platform, String externalUserId,
+                                              ARScene.RvCloudAnchorCallback callback) {
+        ARScene arScene = getCurrentARScene();
+        if (arScene == null) { if (callback != null) callback.onResult(false, "", "AR scene not available"); return; }
+        ensureRvConfigApplied(arScene);
+        arScene.rvTrackCloudAnchorResolution(anchorId, success, confidence, matchCount, inlierCount,
+                processingTimeMs, platform, externalUserId, callback);
+    }
+
     // ========================================================================
     // World Mesh API Support
     // ========================================================================
diff --git a/android/viro_bridge/src/main/java/com/viromedia/bridge/component/VRTARSceneNavigatorManager.java b/android/viro_bridge/src/main/java/com/viromedia/bridge/component/VRTARSceneNavigatorManager.java
index a1c9303c..3f695ac1 100644
--- a/android/viro_bridge/src/main/java/com/viromedia/bridge/component/VRTARSceneNavigatorManager.java
+++ b/android/viro_bridge/src/main/java/com/viromedia/bridge/component/VRTARSceneNavigatorManager.java
@@ -97,6 +97,11 @@ public void setOcclusionMode(VRTARSceneNavigator navigator, String mode) {
         navigator.setOcclusionMode(mode);
     }
 
+    @ReactProp(name = "depthEnabled", defaultBoolean = false)
+    public void setDepthEnabled(VRTARSceneNavigator navigator, boolean enabled) {
+        navigator.setDepthEnabled(enabled);
+    }
+
     @ReactProp(name = "cloudAnchorProvider")
     public void setCloudAnchorProvider(VRTARSceneNavigator navigator, String provider) {
         navigator.setCloudAnchorProvider(provider);
diff --git a/android/viro_bridge/src/main/java/com/viromedia/bridge/component/node/VRTNode.java b/android/viro_bridge/src/main/java/com/viromedia/bridge/component/node/VRTNode.java
index 920e7c22..d41c2ea1 100644
--- a/android/viro_bridge/src/main/java/com/viromedia/bridge/component/node/VRTNode.java
+++ b/android/viro_bridge/src/main/java/com/viromedia/bridge/component/node/VRTNode.java
@@ -407,8 +407,17 @@ public void onTearDown() {
                 mEventDelegateJni = null;
             }
             
-            // Clean up materials
+            // Clean up materials — registry must be cleaned BEFORE clearing mMaterials
             if (mMaterials != null) {
+                for (Material mat : mMaterials) {
+                    String matName = mat.getName();
+                    if (matName != null) {
+                        java.util.Set<WeakReference<VRTNode>> nodes = sMaterialUsageRegistry.get(matName);
+                        if (nodes != null) {
+                            nodes.removeIf(ref -> ref.get() == this || ref.get() == null);
+                        }
+                    }
+                }
                 mMaterials.clear();
                 mMaterials = null;
             }
@@ -430,19 +439,6 @@ public void onTearDown() {
                 mChildNodeOriginalMaterials = null;
             }
 
-            // Clean up material usage registry
-            if (mMaterials != null) {
-                for (Material mat : mMaterials) {
-                    String matName = mat.getName();
-                    if (matName != null) {
-                        java.util.Set<WeakReference<VRTNode>> nodes = sMaterialUsageRegistry.get(matName);
-                        if (nodes != null) {
-                            nodes.removeIf(ref -> ref.get() == this);
-                        }
-                    }
-                }
-            }
-
             // Clean up node
             if (mNodeJni != null) {
                 mNodeJni.dispose();
diff --git a/android/viro_bridge/src/main/java/com/viromedia/bridge/module/ARSceneNavigatorModule.java b/android/viro_bridge/src/main/java/com/viromedia/bridge/module/ARSceneNavigatorModule.java
index 024b5048..5b20cc02 100644
--- a/android/viro_bridge/src/main/java/com/viromedia/bridge/module/ARSceneNavigatorModule.java
+++ b/android/viro_bridge/src/main/java/com/viromedia/bridge/module/ARSceneNavigatorModule.java
@@ -64,6 +64,8 @@
 import java.io.File;
 import java.io.FileOutputStream;
 import java.io.IOException;
+import org.json.JSONArray;
+import org.json.JSONObject;
 
 @ReactModule(name = "VRTARSceneNavigatorModule")
 public class ARSceneNavigatorModule extends ReactContextBaseJavaModule {
@@ -587,6 +589,11 @@ public interface GeospatialAnchorCallback {
         void onFailure(String error);
     }
 
+    public interface HostGeospatialAnchorCallback {
+        void onSuccess(String platformUuid);
+        void onFailure(String error);
+    }
+
     // ========================================================================
     // Debugging & Validation Methods
     // ========================================================================
@@ -1012,6 +1019,110 @@ public void onFailure(String error) {
         });
     }
 
+    @ReactMethod
+    public void hostGeospatialAnchor(final int sceneNavTag, final double latitude,
+                                      final double longitude, final double altitude,
+                                      final String altitudeMode, final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) {
+            WritableMap result = Arguments.createMap();
+            result.putBoolean("success", false);
+            result.putString("error", "UIManager not available");
+            promise.resolve(result);
+            return;
+        }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override
+            public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) {
+                        WritableMap result = Arguments.createMap();
+                        result.putBoolean("success", false);
+                        result.putString("error", "Invalid view type");
+                        promise.resolve(result);
+                        return;
+                    }
+                    VRTARSceneNavigator sceneNavigator = (VRTARSceneNavigator) view;
+                    sceneNavigator.hostGeospatialAnchor(latitude, longitude, altitude, altitudeMode,
+                        new HostGeospatialAnchorCallback() {
+                            @Override
+                            public void onSuccess(String platformUuid) {
+                                WritableMap result = Arguments.createMap();
+                                result.putBoolean("success", true);
+                                result.putString("anchorId", platformUuid);
+                                promise.resolve(result);
+                            }
+                            @Override
+                            public void onFailure(String error) {
+                                WritableMap result = Arguments.createMap();
+                                result.putBoolean("success", false);
+                                result.putString("error", error);
+                                promise.resolve(result);
+                            }
+                        });
+                } catch (Exception e) {
+                    WritableMap result = Arguments.createMap();
+                    result.putBoolean("success", false);
+                    result.putString("error", e.getMessage());
+                    promise.resolve(result);
+                }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void resolveGeospatialAnchor(final int sceneNavTag, final String platformUuid,
+                                         final Dynamic quaternion, final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) {
+            WritableMap result = Arguments.createMap();
+            result.putBoolean("success", false);
+            result.putString("error", "UIManager not available");
+            promise.resolve(result);
+            return;
+        }
+        final float[] quat = parseQuaternion(quaternion);
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override
+            public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) {
+                        WritableMap result = Arguments.createMap();
+                        result.putBoolean("success", false);
+                        result.putString("error", "Invalid view type");
+                        promise.resolve(result);
+                        return;
+                    }
+                    VRTARSceneNavigator sceneNavigator = (VRTARSceneNavigator) view;
+                    sceneNavigator.resolveGeospatialAnchor(platformUuid, quat,
+                        new GeospatialAnchorCallback() {
+                            @Override
+                            public void onSuccess(com.viro.core.ARScene.GeospatialAnchor anchor) {
+                                WritableMap result = Arguments.createMap();
+                                result.putBoolean("success", true);
+                                result.putMap("anchor", mapFromGeospatialAnchor(anchor));
+                                promise.resolve(result);
+                            }
+                            @Override
+                            public void onFailure(String error) {
+                                WritableMap result = Arguments.createMap();
+                                result.putBoolean("success", false);
+                                result.putString("error", error);
+                                promise.resolve(result);
+                            }
+                        });
+                } catch (Exception e) {
+                    WritableMap result = Arguments.createMap();
+                    result.putBoolean("success", false);
+                    result.putString("error", e.getMessage());
+                    promise.resolve(result);
+                }
+            }
+        });
+    }
+
     @ReactMethod
     public void createTerrainAnchor(final int sceneNavTag, final double latitude,
                                      final double longitude, final double altitudeAboveTerrain,
@@ -1149,6 +1260,425 @@ public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewRe
         });
     }
 
+    // ========================================================================
+    // ReactVision Geospatial CRUD API Methods
+    // ========================================================================
+
+    /** Convert a JSON object string into a WritableMap for React. */
+    private WritableMap rvJsonObjectToMap(String json) {
+        WritableMap map = Arguments.createMap();
+        if (json == null || json.isEmpty()) return map;
+        try {
+            JSONObject obj = new JSONObject(json);
+            java.util.Iterator<String> keys = obj.keys();
+            while (keys.hasNext()) {
+                String k = keys.next();
+                Object v = obj.get(k);
+                if (v instanceof Boolean)    map.putBoolean(k, (Boolean) v);
+                else if (v instanceof Integer) map.putInt(k, (Integer) v);
+                else if (v instanceof Double)  map.putDouble(k, (Double) v);
+                else if (v instanceof JSONObject) map.putMap(k, rvJsonObjectToMap(v.toString()));
+                else map.putString(k, v.toString());
+            }
+        } catch (Exception e) {
+            map.putString("parseError", e.getMessage());
+        }
+        return map;
+    }
+
+    /** Convert a JSON array string of objects into a WritableArray for React. */
+    private WritableArray rvJsonArrayToArray(String json) {
+        WritableArray arr = Arguments.createArray();
+        if (json == null || json.isEmpty()) return arr;
+        try {
+            JSONArray jArr = new JSONArray(json);
+            for (int i = 0; i < jArr.length(); i++) {
+                arr.pushMap(rvJsonObjectToMap(jArr.getJSONObject(i).toString()));
+            }
+        } catch (Exception e) {
+            // Return empty array on parse error
+        }
+        return arr;
+    }
+
+    @ReactMethod
+    public void rvGetGeospatialAnchor(final int sceneNavTag, final String anchorId,
+                                       final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) {
+            WritableMap r = Arguments.createMap();
+            r.putBoolean("success", false); r.putString("error", "UIManager not available");
+            promise.resolve(r); return;
+        }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override
+            public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", false); r.putString("error", "Invalid view type");
+                        promise.resolve(r); return;
+                    }
+                    ((VRTARSceneNavigator) view).rvGetGeospatialAnchor(anchorId, (success, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        if (success) r.putMap("anchor", rvJsonObjectToMap(jsonData));
+                        else         r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) {
+                    WritableMap r = Arguments.createMap();
+                    r.putBoolean("success", false); r.putString("error", e.getMessage());
+                    promise.resolve(r);
+                }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void rvFindNearbyGeospatialAnchors(final int sceneNavTag,
+                                               final double latitude, final double longitude,
+                                               final double radius, final int limit,
+                                               final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) {
+            WritableMap r = Arguments.createMap();
+            r.putBoolean("success", false); r.putString("error", "UIManager not available");
+            promise.resolve(r); return;
+        }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override
+            public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", false); r.putString("error", "Invalid view type");
+                        promise.resolve(r); return;
+                    }
+                    ((VRTARSceneNavigator) view).rvFindNearbyGeospatialAnchors(
+                            latitude, longitude, radius, limit, (success, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        r.putArray("anchors", rvJsonArrayToArray(jsonData));
+                        if (!success) r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) {
+                    WritableMap r = Arguments.createMap();
+                    r.putBoolean("success", false); r.putString("error", e.getMessage());
+                    promise.resolve(r);
+                }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void rvUpdateGeospatialAnchor(final int sceneNavTag, final String anchorId,
+                                          final String sceneAssetId, final String sceneId,
+                                          final String name, final String userAssetId,
+                                          final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) {
+            WritableMap r = Arguments.createMap();
+            r.putBoolean("success", false); r.putString("error", "UIManager not available");
+            promise.resolve(r); return;
+        }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override
+            public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", false); r.putString("error", "Invalid view type");
+                        promise.resolve(r); return;
+                    }
+                    ((VRTARSceneNavigator) view).rvUpdateGeospatialAnchor(
+                            anchorId, sceneAssetId, sceneId, name, userAssetId, (success, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        if (success) r.putMap("anchor", rvJsonObjectToMap(jsonData));
+                        else         r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) {
+                    WritableMap r = Arguments.createMap();
+                    r.putBoolean("success", false); r.putString("error", e.getMessage());
+                    promise.resolve(r);
+                }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void rvUploadAsset(final int sceneNavTag, final String filePath,
+                               final String assetType, final String fileName,
+                               final String appUserId, final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "UIManager not available"); promise.resolve(r); return; }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "Invalid view type"); promise.resolve(r); return; }
+                    ((VRTARSceneNavigator) view).rvUploadAsset(filePath, assetType, fileName, appUserId,
+                            (success, userAssetId, fileUrl, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        if (success) {
+                            r.putString("userAssetId", userAssetId);
+                            r.putString("fileUrl", fileUrl);
+                        } else {
+                            r.putString("error", error);
+                        }
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", e.getMessage()); promise.resolve(r); }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void rvDeleteGeospatialAnchor(final int sceneNavTag, final String anchorId,
+                                          final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) {
+            WritableMap r = Arguments.createMap();
+            r.putBoolean("success", false); r.putString("error", "UIManager not available");
+            promise.resolve(r); return;
+        }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override
+            public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", false); r.putString("error", "Invalid view type");
+                        promise.resolve(r); return;
+                    }
+                    ((VRTARSceneNavigator) view).rvDeleteGeospatialAnchor(anchorId, (success, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        if (!success) r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) {
+                    WritableMap r = Arguments.createMap();
+                    r.putBoolean("success", false); r.putString("error", e.getMessage());
+                    promise.resolve(r);
+                }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void rvListGeospatialAnchors(final int sceneNavTag, final int limit, final int offset,
+                                         final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "UIManager not available"); promise.resolve(r); return; }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "Invalid view type"); promise.resolve(r); return; }
+                    ((VRTARSceneNavigator) view).rvListGeospatialAnchors(limit, offset, (success, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        r.putArray("anchors", rvJsonArrayToArray(jsonData));
+                        if (!success) r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", e.getMessage()); promise.resolve(r); }
+            }
+        });
+    }
+
+    // ── Cloud anchor management ───────────────────────────────────────────────
+
+    @ReactMethod
+    public void rvGetCloudAnchor(final int sceneNavTag, final String anchorId, final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "UIManager not available"); promise.resolve(r); return; }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "Invalid view type"); promise.resolve(r); return; }
+                    ((VRTARSceneNavigator) view).rvGetCloudAnchor(anchorId, (success, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        if (success) r.putMap("anchor", rvJsonObjectToMap(jsonData));
+                        else         r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", e.getMessage()); promise.resolve(r); }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void rvListCloudAnchors(final int sceneNavTag, final int limit, final int offset,
+                                    final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "UIManager not available"); promise.resolve(r); return; }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "Invalid view type"); promise.resolve(r); return; }
+                    ((VRTARSceneNavigator) view).rvListCloudAnchors(limit, offset, (success, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        r.putArray("anchors", rvJsonArrayToArray(jsonData));
+                        if (!success) r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", e.getMessage()); promise.resolve(r); }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void rvUpdateCloudAnchor(final int sceneNavTag, final String anchorId,
+                                     final String name, final String description,
+                                     final boolean isPublic, final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "UIManager not available"); promise.resolve(r); return; }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "Invalid view type"); promise.resolve(r); return; }
+                    ((VRTARSceneNavigator) view).rvUpdateCloudAnchor(anchorId, name, description, isPublic, (success, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        if (success) r.putMap("anchor", rvJsonObjectToMap(jsonData));
+                        else         r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", e.getMessage()); promise.resolve(r); }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void rvDeleteCloudAnchor(final int sceneNavTag, final String anchorId,
+                                     final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "UIManager not available"); promise.resolve(r); return; }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "Invalid view type"); promise.resolve(r); return; }
+                    ((VRTARSceneNavigator) view).rvDeleteCloudAnchor(anchorId, (success, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        if (!success) r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", e.getMessage()); promise.resolve(r); }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void rvFindNearbyCloudAnchors(final int sceneNavTag, final double latitude,
+                                          final double longitude, final double radius,
+                                          final int limit, final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "UIManager not available"); promise.resolve(r); return; }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "Invalid view type"); promise.resolve(r); return; }
+                    ((VRTARSceneNavigator) view).rvFindNearbyCloudAnchors(latitude, longitude, radius, limit, (success, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        r.putArray("anchors", rvJsonArrayToArray(jsonData));
+                        if (!success) r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", e.getMessage()); promise.resolve(r); }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void rvAttachAssetToCloudAnchor(final int sceneNavTag, final String anchorId,
+                                            final String fileUrl, final double fileSize,
+                                            final String name, final String assetType,
+                                            final String externalUserId, final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "UIManager not available"); promise.resolve(r); return; }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "Invalid view type"); promise.resolve(r); return; }
+                    ((VRTARSceneNavigator) view).rvAttachAssetToCloudAnchor(anchorId, fileUrl, (long)fileSize,
+                            name, assetType, externalUserId, (success, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        if (!success) r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", e.getMessage()); promise.resolve(r); }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void rvRemoveAssetFromCloudAnchor(final int sceneNavTag, final String anchorId,
+                                              final String assetId, final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "UIManager not available"); promise.resolve(r); return; }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "Invalid view type"); promise.resolve(r); return; }
+                    ((VRTARSceneNavigator) view).rvRemoveAssetFromCloudAnchor(anchorId, assetId, (success, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", success);
+                        if (!success) r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", e.getMessage()); promise.resolve(r); }
+            }
+        });
+    }
+
+    @ReactMethod
+    public void rvTrackCloudAnchorResolution(final int sceneNavTag, final String anchorId,
+                                              final boolean success, final double confidence,
+                                              final int matchCount, final int inlierCount,
+                                              final int processingTimeMs, final String platform,
+                                              final String externalUserId, final Promise promise) {
+        UIManager uiManager = UIManagerHelper.getUIManager(getReactApplicationContext(), sceneNavTag);
+        if (uiManager == null) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "UIManager not available"); promise.resolve(r); return; }
+        ((FabricUIManager) uiManager).addUIBlock(new com.facebook.react.fabric.interop.UIBlock() {
+            @Override public void execute(com.facebook.react.fabric.interop.UIBlockViewResolver viewResolver) {
+                try {
+                    View view = viewResolver.resolveView(sceneNavTag);
+                    if (!(view instanceof VRTARSceneNavigator)) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", "Invalid view type"); promise.resolve(r); return; }
+                    ((VRTARSceneNavigator) view).rvTrackCloudAnchorResolution(anchorId, success, confidence,
+                            matchCount, inlierCount, processingTimeMs, platform, externalUserId,
+                            (ok, jsonData, error) -> {
+                        WritableMap r = Arguments.createMap();
+                        r.putBoolean("success", ok);
+                        if (!ok) r.putString("error", error);
+                        promise.resolve(r);
+                    });
+                } catch (Exception e) { WritableMap r = Arguments.createMap(); r.putBoolean("success", false); r.putString("error", e.getMessage()); promise.resolve(r); }
+            }
+        });
+    }
+
     // ========================================================================
     // Scene Semantics API Methods
     // ========================================================================
diff --git a/android/viro_bridge/src/main/java/com/viromedia/bridge/module/MaterialManager.java b/android/viro_bridge/src/main/java/com/viromedia/bridge/module/MaterialManager.java
index 7cc2c9f9..bad934b5 100644
--- a/android/viro_bridge/src/main/java/com/viromedia/bridge/module/MaterialManager.java
+++ b/android/viro_bridge/src/main/java/com/viromedia/bridge/module/MaterialManager.java
@@ -206,6 +206,26 @@ public void updateShaderUniform(String materialName, String uniformName, String
                 material.setShaderUniform(uniformName, matrix);
                 uniformValue = matrix;
             }
+        } else if ("sampler2D".equalsIgnoreCase(uniformType)) {
+            String path = null;
+            ReadableType valueType = value.getType();
+            if (valueType == ReadableType.String) {
+                path = value.asString();
+            } else if (valueType == ReadableType.Map) {
+                ReadableMap sourceMap = value.asMap();
+                if (sourceMap.hasKey("source") && sourceMap.getType("source") == ReadableType.Map) {
+                    path = sourceMap.getMap("source").getString("uri");
+                } else if (sourceMap.hasKey("uri")) {
+                    path = sourceMap.getString("uri");
+                }
+            }
+            if (path != null) {
+                Texture texture = loadTextureFromPath(path);
+                if (texture != null) {
+                    material.setShaderUniform(uniformName, texture);
+                    uniformValue = path;
+                }
+            }
         }
 
         // Propagate uniform updates to:
@@ -470,6 +490,9 @@ private void parseShaderModifiers(Material material, ReadableMap materialMap) {
             Log.d("VRTMaterialManager", "Processing entry point: " + entryPointName + ", type: " + type);
 
             String modifierCode = null;
+            String[] varyings = null;
+            boolean requiresSceneDepth = false;
+            boolean requiresCameraTexture = false;
 
             // Handle both string and dictionary formats
             if (type == ReadableType.String) {
@@ -491,6 +514,24 @@ private void parseShaderModifiers(Material material, ReadableMap materialMap) {
                     continue;
                 }
                 Log.d("VRTMaterialManager", "Map format, code length: " + modifierCode.length());
+
+                // Extract varyings if present
+                if (modifierDict.hasKey("varyings") && modifierDict.getType("varyings") == ReadableType.Array) {
+                    ReadableArray varyingsArr = modifierDict.getArray("varyings");
+                    varyings = new String[varyingsArr.size()];
+                    for (int i = 0; i < varyingsArr.size(); i++) {
+                        varyings[i] = varyingsArr.getString(i);
+                    }
+                }
+
+                // Extract requiresSceneDepth flag
+                if (modifierDict.hasKey("requiresSceneDepth")) {
+                    requiresSceneDepth = modifierDict.getBoolean("requiresSceneDepth");
+                }
+                // Extract requiresCameraTexture flag
+                if (modifierDict.hasKey("requiresCameraTexture")) {
+                    requiresCameraTexture = modifierDict.getBoolean("requiresCameraTexture");
+                }
             } else {
                 Log.e("VRTMaterialManager", "Shader modifier must be string or dictionary with 'body' key");
                 continue;
@@ -498,7 +539,7 @@ private void parseShaderModifiers(Material material, ReadableMap materialMap) {
 
             if (modifierCode != null && modifierCode.length() > 0) {
                 Log.d("VRTMaterialManager", "Calling material.addShaderModifier for entry point: " + entryPointName);
-                material.addShaderModifier(entryPointName, modifierCode);
+                material.addShaderModifier(entryPointName, modifierCode, varyings, requiresSceneDepth, requiresCameraTexture);
                 Log.d("VRTMaterialManager", "Successfully added shader modifier");
             }
         }
@@ -596,7 +637,28 @@ private void setShaderUniform(Material material, String name, String type, Reada
                 material.setShaderUniform(name, matrix);
                 Log.d("VRTMaterialManager", "Set mat4 uniform: " + name);
             }
+        } else if ("sampler2D".equalsIgnoreCase(type)) {
+            String path = parseImagePath(uniformData, "value");
+            if (path != null) {
+                Texture texture = loadTextureFromPath(path);
+                if (texture != null) {
+                    material.setShaderUniform(name, texture);
+                    Log.d("VRTMaterialManager", "Set sampler2D uniform: " + name);
+                }
+            }
+        }
+    }
+
+    private Texture loadTextureFromPath(String path) {
+        Uri uri = Helper.parseUri(path, mContext);
+        ImageDownloader downloader = new ImageDownloader(mContext);
+        Bitmap imageBitmap = downloader.getImageSync(uri);
+        if (imageBitmap == null) {
+            Log.w("VRTMaterialManager", "loadTextureFromPath: failed to load image at: " + path);
+            return null;
         }
+        Image nativeImage = new Image(imageBitmap, Texture.Format.RGBA8);
+        return new Texture(nativeImage, true, false);
     }
 
     private Texture parseTexture(Image image, boolean sRGB, boolean mipmap,
diff --git a/android/viro_bridge/src/main/java/com/viromedia/bridge/module/PerfMonitor.java b/android/viro_bridge/src/main/java/com/viromedia/bridge/module/PerfMonitor.java
index 8b224579..4b1e4a9b 100644
--- a/android/viro_bridge/src/main/java/com/viromedia/bridge/module/PerfMonitor.java
+++ b/android/viro_bridge/src/main/java/com/viromedia/bridge/module/PerfMonitor.java
@@ -80,7 +80,7 @@ public void setView(ViroView view) {
             Application application = getCurrentActivity().getApplication();
             if (application instanceof ReactApplication) {
                 ReactApplication reactApplication = (ReactApplication) application;
-                DevSupportManager devSupport = reactApplication.getReactNativeHost().getReactInstanceManager().getDevSupportManager();
+                DevSupportManager devSupport = reactApplication.getReactHost().getDevSupportManager();
                 devSupport.addCustomDevOption("[Viro] Toggle FPS Display", new PerfOptionHandler(this));
 
                 mIsInitialized = true;
diff --git a/android/viro_renderer/viro_renderer-release.aar b/android/viro_renderer/viro_renderer-release.aar
index 1355e366..b2a4ad6e 100644
Binary files a/android/viro_renderer/viro_renderer-release.aar and b/android/viro_renderer/viro_renderer-release.aar differ
diff --git a/components/AR/ViroARPlaneSelector.tsx b/components/AR/ViroARPlaneSelector.tsx
index f3df4b4e..940aac80 100644
--- a/components/AR/ViroARPlaneSelector.tsx
+++ b/components/AR/ViroARPlaneSelector.tsx
@@ -11,22 +11,7 @@
 
 "use strict";
 
-import {
-  ViroClickStateEvent,
-  ViroPlaneUpdatedMap,
-} from "../Types/ViroEvents";
-import { ViroARPlaneType, ViroNativeRef } from "../Types/ViroUtils";
-
-type ViroARPlaneClassification =
-  | "None"
-  | "Wall"
-  | "Floor"
-  | "Ceiling"
-  | "Table"
-  | "Seat"
-  | "Door"
-  | "Window"
-  | "Unknown";
+import { ViroAnchor, ViroPlaneUpdatedMap } from "../Types/ViroEvents";
 import * as React from "react";
 import { ViroMaterials } from "../Material/ViroMaterials";
 import { ViroNode } from "../ViroNode";
@@ -34,281 +19,523 @@ import { ViroQuad } from "../ViroQuad";
 import { ViroPolygon } from "../ViroPolygon";
 import { ViroARPlane } from "./ViroARPlane";
 
-var _planePrefix = "ViroARPlaneSelector_Plane_";
-
 type Props = {
+  /**
+   * Minimum height (meters) a detected plane must have before it is shown.
+   * Planes smaller than this are silently ignored. Default: 0 (no minimum).
+   */
   minHeight?: number;
+
+  /**
+   * Minimum width (meters) a detected plane must have before it is shown.
+   * Planes smaller than this are silently ignored. Default: 0 (no minimum).
+   */
   minWidth?: number;
+
+  /**
+   * Which plane orientations to accept.
+   *
+   * | Value              | Accepted planes                        |
+   * |--------------------|----------------------------------------|
+   * | `"Horizontal"`     | Both HorizontalUpward + HorizontalDownward |
+   * | `"HorizontalUpward"` | Upward-facing floors/tables only      |
+   * | `"HorizontalDownward"` | Downward-facing ceilings only       |
+   * | `"Vertical"`       | Walls and vertical surfaces only       |
+   * | `"Both"` (default) | All orientations                       |
+   *
+   * Default: `"Both"` (accept every plane ARKit/ARCore detects).
+   */
   alignment?:
     | "Horizontal"
     | "HorizontalUpward"
     | "HorizontalDownward"
     | "Vertical"
-    | "Both"; // Added "Both" option to detect both horizontal and vertical
-  onPlaneSelected?: (updateMap: ViroPlaneUpdatedMap) => void;
-  onPlaneDetected?: (updateMap: ViroPlaneUpdatedMap) => boolean; // Optional validation callback
-  disableClickSelection?: boolean; // Disable click-based selection, only show planes visually
-  useActualShape?: boolean; // Use boundary vertices for accurate shape (default: true)
+    | "Both";
+
+  /**
+   * Called once when the user taps a plane and it becomes selected.
+   *
+   * @param plane       The ViroAnchor of the selected plane.  Includes
+   *                    `center` (local offset), `width`, `height`,
+   *                    `alignment`, `vertices`, and `classification`.
+   * @param tapPosition World-space position of the tap ray–surface
+   *                    intersection.  Use this when you need to know
+   *                    the exact 3-D point the user touched (e.g. to
+   *                    spawn a particle at the contact point).
+   *
+   * Note: children are automatically placed at the tap point inside the
+   * plane's local coordinate space — you do NOT need to read tapPosition
+   * just to get the object at the right location.
+   */
+  onPlaneSelected?: (
+    plane: ViroPlaneUpdatedMap,
+    tapPosition?: [number, number, number]
+  ) => void;
+
+  /**
+   * Called for every plane that passes the alignment and size filters,
+   * before it is added to the visible set.
+   *
+   * Return `false` to reject the plane (e.g. skip planes that are too
+   * far away, or have the wrong classification).  Any other return value
+   * (including `undefined`) accepts the plane.
+   */
+  onPlaneDetected?: (plane: ViroPlaneUpdatedMap) => boolean;
+
+  /**
+   * Called when ARKit/ARCore removes a previously detected plane.
+   *
+   * If the removed plane was the selected one, the selection is
+   * automatically cleared and `reset()` does not need to be called.
+   *
+   * @param anchorId The ARKit/ARCore anchor ID of the removed plane.
+   */
+  onPlaneRemoved?: (anchorId: string) => void;
+
+  /**
+   * When `true` (default), the plane overlay for the selected plane is
+   * hidden after the user makes a selection.  Only `children` remain
+   * visible, giving a clean look without the blue indicator underneath
+   * the placed content.
+   *
+   * Set to `false` to keep the overlay visible on the selected plane
+   * (e.g. to let the user see the plane boundary while repositioning
+   * content).
+   *
+   * Unselected planes are always hidden once a selection is made,
+   * regardless of this prop.
+   *
+   * Default: `true`.
+   */
+  hideOverlayOnSelection?: boolean;
+
+  /**
+   * When `true`, tapping a plane overlay does not trigger selection.
+   * Use this when you want to select planes programmatically (e.g. via
+   * a hit-test in `ViroARScene.performARHitTestWithPoint`) rather than
+   * through direct tap.
+   *
+   * Default: `false` (tap-to-select is enabled).
+   */
+  disableClickSelection?: boolean;
+
+  /**
+   * When `true` (default), the plane overlay uses ARKit/ARCore's actual
+   * polygon boundary vertices (`ViroPolygon`) for a precise fit.
+   *
+   * When `false`, or before ARKit has provided polygon vertices, the
+   * overlay falls back to an axis-aligned bounding rectangle
+   * (`ViroQuad` sized to `anchor.width × anchor.height`).
+   *
+   * Default: `true`.
+   */
+  useActualShape?: boolean;
+
+  /**
+   * Name of a `ViroMaterials`-registered material to use for the plane
+   * overlay surface.  The material is applied to both the `ViroPolygon`
+   * (actual-shape) and the `ViroQuad` (bounding-rect) fallback.
+   *
+   * Default: `"ViroARPlaneSelector_Translucent"` — a semi-transparent
+   * blue material registered at the bottom of this file.
+   */
+  material?: string;
+
+  /**
+   * Content to place on the selected plane at the tap point.
+   *
+   * Children are rendered as children of `ViroARPlane` (plane-local
+   * coordinate space) and are wrapped in a `ViroNode` positioned at the
+   * tap location on the plane surface (Y = 0 in local space = on the
+   * surface).
+   *
+   * Children should position themselves relative to this origin:
+   *   - `position={[0, 0.5, 0]}` — 50 cm above the tap point (typical
+   *     for a 3-D object resting on a floor or wall).
+   *   - `position={[0, 0, 0]}`   — at the exact tap contact point.
+   *
+   * Children are NOT rendered until a plane is selected.
+   */
   children?: React.ReactNode;
 };
 
 type State = {
+  /** anchorId of the currently selected plane, or null if none selected. */
   selectedPlaneId: string | null;
-  foundARPlanes: Map<string, ViroARPlaneType>;
+  /**
+   * Tap point in the selected plane's local coordinate space (Y=0 on surface).
+   * Used to position children at the location the user tapped rather than at
+   * the plane's geometric center.  Cleared by reset().
+   */
+  tapLocalPosition: [number, number, number] | null;
+  /** Live map of all accepted planes keyed by their ARKit/ARCore anchor ID. */
+  planes: Map<string, ViroAnchor>;
 };
 
 /**
- * This component wraps the logic required to enable user selection
- * of an AR plane. This currently only allows for 1 plane to be selected,
- * but could easily be modified to allow for more planes.
+ * ViroARPlaneSelector
+ *
+ * Detects AR planes reported by ARKit (iOS) or ARCore (Android), renders a
+ * tappable overlay on each one, and places your content on the plane the user
+ * selects — at the exact point they tapped.
+ *
+ * ─────────────────────────────────────────────────────────────────────────────
+ * REQUIRED WIRING  (breaking change from the original component)
+ * ─────────────────────────────────────────────────────────────────────────────
+ * The component no longer self-discovers planes.  You must forward the
+ * parent ViroARScene's anchor events to it via a ref:
+ *
+ *   ```tsx
+ *   const selectorRef = useRef<ViroARPlaneSelector>(null);
+ *
+ *   <ViroARScene
+ *     anchorDetectionTypes={["PlanesHorizontal", "PlanesVertical"]}
+ *     onAnchorFound={(a)   => selectorRef.current?.handleAnchorFound(a)}
+ *     onAnchorUpdated={(a) => selectorRef.current?.handleAnchorUpdated(a)}
+ *     onAnchorRemoved={(a) => a && selectorRef.current?.handleAnchorRemoved(a)}
+ *   >
+ *     <ViroARPlaneSelector
+ *       ref={selectorRef}
+ *       alignment="Both"
+ *       onPlaneSelected={(plane, tapPos) => console.log("selected", plane, tapPos)}
+ *     >
+ *       <Viro3DObject source={...} position={[0, 0.5, 0]} type="GLB" />
+ *     </ViroARPlaneSelector>
+ *   </ViroARScene>
+ *   ```
+ *
+ * ─────────────────────────────────────────────────────────────────────────────
+ * BEHAVIOUR
+ * ─────────────────────────────────────────────────────────────────────────────
+ * 1. Plane discovery
+ *    `handleAnchorFound` is called for every new ARKit/ARCore plane anchor.
+ *    Planes are filtered by `alignment`, `minWidth`, `minHeight`, and the
+ *    optional `onPlaneDetected` callback.  Accepted planes are stored in an
+ *    internal Map keyed by their ARKit/ARCore anchor ID — no pre-allocated
+ *    slots, no index-mapping artefacts.
+ *
+ * 2. Plane visualisation
+ *    Each accepted plane gets one overlay rendered as a child of
+ *    `ViroARPlane anchorId={id}` so it is always locked to the correct
+ *    real-world surface.  The overlay is:
+ *      - A `ViroPolygon` matching ARKit's actual boundary vertices when
+ *        `useActualShape` is true (default) and vertices are available.
+ *      - A `ViroQuad` (bounding rectangle) otherwise.
+ *    All overlays are visible until one is selected; then the others hide.
+ *
+ * 3. Selection & tap-position placement
+ *    When the user taps an overlay the world-space intersection point is
+ *    converted to the plane's local coordinate space using the full
+ *    inverse rotation (R = Rx·Ry·Rz, X-Y-Z Euler order from VROMatrix4f).
+ *    Children are wrapped in a `ViroNode` positioned at that local point
+ *    (Y=0 = on the surface), so objects appear exactly where you touched —
+ *    not at the plane's geometric centre.
+ *
+ * 4. Plane removal
+ *    `handleAnchorRemoved` removes the plane from the Map.  If the removed
+ *    plane was the selected one the selection is automatically cleared.
+ *
+ * 5. Resetting
+ *    Call `selectorRef.current.reset()` to deselect the current plane and
+ *    re-show all overlays so the user can pick again.
+ *
+ * ─────────────────────────────────────────────────────────────────────────────
+ * COORDINATE SYSTEM NOTE
+ * ─────────────────────────────────────────────────────────────────────────────
+ * Children are in the selected ViroARPlane's local space:
+ *   - Y axis = plane normal (perpendicular to surface, pointing "up" for
+ *              floors and "outward" for walls).
+ *   - XZ plane = the detected surface.
+ *   - Origin   = ARKit/ARCore anchor transform origin (near the plane
+ *                geometric centre but not necessarily identical to it).
+ *
+ * Typical child positioning:
+ *   `position={[0, 0.5, 0]}`  — 50 cm above / in front of the tap point.
+ *   `position={[0, 0, 0]}`    — exactly at the tap contact point.
  */
 export class ViroARPlaneSelector extends React.Component<Props, State> {
-  _component: ViroNativeRef = null;
   state: State = {
     selectedPlaneId: null,
-    foundARPlanes: new Map<string, ViroARPlaneType>(),
+    tapLocalPosition: null,
+    planes: new Map<string, ViroAnchor>(),
   };
 
-  render() {
-    // Uncomment this line to check for misnamed props
-    //checkMisnamedProps("ViroARPlaneSelector", this.props);
+  // ---------------------------------------------------------------------------
+  // Public API — forward ViroARScene anchor events to these via ref
+  // ---------------------------------------------------------------------------
 
-    return <ViroNode>{this._getARPlanes()}</ViroNode>;
-  }
+  /**
+   * Forward `ViroARScene.onAnchorFound` here.
+   *
+   * Filters by type ("plane"), alignment, size, and `onPlaneDetected`.
+   * Accepted planes are added to the visible overlay set.
+   *
+   * Usage:
+   *   `onAnchorFound={(a) => selectorRef.current?.handleAnchorFound(a)}`
+   */
+  handleAnchorFound = (anchor: ViroAnchor): void => {
+    if (anchor.type !== "plane") return;
+    if (!this._passesAlignmentFilter(anchor)) return;
 
-  _getARPlanes() {
-    const arPlanes: React.JSX.Element[] = [];
-    const detectBothAlignments =
-      this.props.alignment === "Both" || !this.props.alignment;
-
-    // Determine which alignments to detect
-    const alignmentsToDetect: Array<
-      "Horizontal" | "HorizontalUpward" | "HorizontalDownward" | "Vertical"
-    > = [];
-    if (detectBothAlignments) {
-      alignmentsToDetect.push("Horizontal", "Vertical");
-    } else if (this.props.alignment) {
-      // Type assertion safe here because we know it's not "Both" due to detectBothAlignments check
-      alignmentsToDetect.push(
-        this.props.alignment as
-          | "Horizontal"
-          | "HorizontalUpward"
-          | "HorizontalDownward"
-          | "Vertical"
-      );
+    if (this.props.onPlaneDetected) {
+      const accepted = this.props.onPlaneDetected(anchor);
+      if (accepted === false) return;
     }
 
-    // Create detector ViroARPlane components for each alignment type
-    // These don't have anchorId set initially, but will discover and track planes
-    // We add visual children based on detected plane data
-    const detectorsPerAlignment = 25; // 25 detectors per alignment type
-
-    alignmentsToDetect.forEach((alignment) => {
-      for (let i = 0; i < detectorsPerAlignment; i++) {
-        const detectorKey = `${_planePrefix}detector_${alignment}_${i}`;
-
-        // Check if this detector has discovered a plane
-        // We'll match by checking if any plane in foundARPlanes has this alignment
-        // and hasn't been assigned to a previous detector
-        // Note: ARCore returns "HorizontalUpward", "HorizontalDownward", etc.
-        // so we need to check if alignment starts with the requested type
-        const detectedPlanes = Array.from(
-          this.state.foundARPlanes.entries()
-        ).filter(([_id, plane]) => {
-          if (alignment === "Horizontal") {
-            return plane.alignment.includes("Horizontal");
-          } else if (alignment === "Vertical") {
-            return plane.alignment.includes("Vertical");
-          }
-          return plane.alignment === alignment;
-        });
-
-        const planeData = detectedPlanes[i]?.[1];
-        const anchorId = detectedPlanes[i]?.[0];
-        const hasPlaneData = !!planeData;
-
-        // Extract visual rendering data if plane detected
-        let visualElement = null;
-        if (hasPlaneData) {
-          const isSelected = this.state.selectedPlaneId === anchorId;
-          const surfaceWidth = planeData.width || 0.5;
-          const surfaceHeight = planeData.height || 0.5;
-          const vertices3D = (planeData as any).vertices;
-
-          // Convert 3D vertices to 2D based on plane alignment
-          // ViroARPlane provides vertices in the plane's LOCAL coordinate system
-          // where the plane is always in the XZ plane. The anchor handles world orientation.
-          // Always extract [x, z] since vertices are in the plane's local XZ plane
-          const vertices2D =
-            vertices3D && vertices3D.length >= 3
-              ? vertices3D.map(
-                  ([x, _y, z]: [number, number, number]): [number, number] => [
-                    x,
-                    z,
-                  ]
-                )
-              : undefined;
-
-          // Rotation for ViroPolygon:
-          // ViroPolygon renders in XY plane by default, vertices are provided in XZ
-          // Need to rotate to map XZ plane to XY rendering plane
-          const polygonRotation: [number, number, number] = [-90, 0, 0];
-
-          const isVisible = this.state.selectedPlaneId === null || isSelected;
-
-          // Use actual plane shapes (ViroPolygon with vertices)
-          const forceQuadForAndroid = false; // Now using actual shapes on Android
-
-          const useActualShape =
-            !forceQuadForAndroid &&
-            this.props.useActualShape !== false &&
-            vertices2D &&
-            vertices2D.length >= 3;
-
-          const finalOpacity = isSelected ? 0 : isVisible ? 1 : 0;
-
-          visualElement = useActualShape ? (
-            <ViroPolygon
-              key={`polygon-${anchorId}`}
-              vertices={vertices2D!}
-              holes={[]}
-              materials={["ViroARPlaneSelector_Translucent"]}
-              {...(!this.props.disableClickSelection && {
-                onClickState: (clickState, position, source) =>
-                  this._getOnClickSurface(anchorId, {
-                    clickState,
-                    position,
-                    source,
-                  }),
-              })}
-              position={[0, 0, 0]}
-              rotation={polygonRotation}
-              opacity={finalOpacity}
-            />
-          ) : (
-            <ViroQuad
-              key={`quad-${anchorId}`}
-              materials={["ViroARPlaneSelector_Translucent"]}
-              {...(!this.props.disableClickSelection && {
-                onClickState: (clickState, position, source) =>
-                  this._getOnClickSurface(anchorId, {
-                    clickState,
-                    position,
-                    source,
-                  }),
-              })}
-              position={[0, 0, 0]}
-              width={surfaceWidth}
-              height={surfaceHeight}
-              rotation={polygonRotation}
-              opacity={finalOpacity}
-            />
-          );
-        }
-
-        arPlanes.push(
-          <ViroARPlane
-            key={detectorKey}
-            minWidth={this.props.minWidth || 0}
-            minHeight={this.props.minHeight || 0}
-            alignment={alignment}
-            anchorId={hasPlaneData ? anchorId : undefined}
-            onAnchorFound={(anchor) => {
-              this._onARPlaneUpdated(anchor);
-            }}
-            onAnchorUpdated={(anchor) => {
-              this._onARPlaneUpdated(anchor);
-            }}
-          >
-            {visualElement}
-            {hasPlaneData && this.props.children && (
-              <ViroNode
-                opacity={this.state.selectedPlaneId === anchorId ? 1 : 0}
-              >
-                {this.props.children}
-              </ViroNode>
-            )}
-          </ViroARPlane>
-        );
-      }
+    this.setState((prev) => {
+      const next = new Map(prev.planes);
+      next.set(anchor.anchorId, anchor);
+      return { planes: next };
     });
+  };
 
-    return arPlanes;
-  }
-
-  _getOnClickSurface = (anchorId: string, event: ViroClickStateEvent) => {
-    if (event.clickState < 3) {
-      return;
-    }
-
-    // Get the plane data before updating state to avoid race conditions
-    const selectedPlane = this.state.foundARPlanes.get(anchorId);
-    if (!selectedPlane) {
-      console.warn(
-        "ViroARPlaneSelector: Cannot select plane - plane data not found"
-      );
-      return;
-    }
-
-    // Update state and call callback with the captured data
-    this.setState({ selectedPlaneId: anchorId }, () => {
-      this._onPlaneSelected(selectedPlane);
+  /**
+   * Forward `ViroARScene.onAnchorUpdated` here.
+   *
+   * Updates the stored anchor data (refined center, extent, and polygon
+   * vertices) for any plane already in the visible set.  Unknown anchors
+   * are silently ignored.
+   *
+   * Usage:
+   *   `onAnchorUpdated={(a) => selectorRef.current?.handleAnchorUpdated(a)}`
+   */
+  handleAnchorUpdated = (anchor: ViroAnchor): void => {
+    if (anchor.type !== "plane") return;
+    this.setState((prev) => {
+      if (!prev.planes.has(anchor.anchorId)) return null;
+      const next = new Map(prev.planes);
+      next.set(anchor.anchorId, anchor);
+      return { planes: next };
     });
   };
 
-  _onARPlaneUpdated = (anchor: any) => {
-    if (!anchor.anchorId) {
-      console.warn("ViroARPlaneSelector: Anchor missing anchorId");
-      return;
-    }
-
-    const updateMap: ViroPlaneUpdatedMap = {
-      anchorId: anchor.anchorId,
-      type: anchor.type || "plane",
-      position: anchor.position,
-      rotation: anchor.rotation,
-      scale: anchor.scale,
-      center: anchor.center,
-      width: anchor.width,
-      height: anchor.height,
-      alignment: anchor.alignment,
-      classification: anchor.classification,
-      vertices: anchor.vertices,
-    };
-
-    // Update or add plane in Map
-    this.setState((prevState) => {
-      const newPlanes = new Map(prevState.foundARPlanes);
-      newPlanes.set(anchor.anchorId, updateMap as ViroARPlaneType);
-      return { foundARPlanes: newPlanes };
+  /**
+   * Forward `ViroARScene.onAnchorRemoved` here.
+   *
+   * Removes the plane from the visible set.  If the removed plane was
+   * currently selected, the selection is cleared automatically (equivalent
+   * to calling `reset()`), and `onPlaneRemoved` is fired.
+   *
+   * Note: the `onAnchorRemoved` callback on ViroARScene may fire with
+   * `undefined` — guard against that at the call site:
+   *   `onAnchorRemoved={(a) => a && selectorRef.current?.handleAnchorRemoved(a)}`
+   */
+  handleAnchorRemoved = (anchor: ViroAnchor): void => {
+    if (!anchor?.anchorId) return;
+    const { anchorId } = anchor;
+    this.setState((prev) => {
+      if (!prev.planes.has(anchorId)) return null;
+      const next = new Map(prev.planes);
+      next.delete(anchorId);
+      return {
+        planes: next,
+        selectedPlaneId:
+          prev.selectedPlaneId === anchorId ? null : prev.selectedPlaneId,
+      };
     });
-
-    // Call validation callback if provided
-    if (this.props.onPlaneDetected) {
-      this.props.onPlaneDetected(updateMap);
-    }
+    this.props.onPlaneRemoved?.(anchorId);
   };
 
-  _onPlaneSelected = (updateMap: ViroPlaneUpdatedMap) => {
-    this.props.onPlaneSelected && this.props.onPlaneSelected(updateMap);
+  /**
+   * Clear the current selection and restore all plane overlays so the user
+   * can tap a different plane.
+   *
+   * Also clears the stored tap position so children return to the plane
+   * origin if a new plane is selected before a tap is registered.
+   *
+   * Typical usage:
+   *   ```tsx
+   *   // Let the user re-select after moving to a new room:
+   *   selectorRef.current?.reset();
+   *   ```
+   */
+  reset = (): void => {
+    this.setState({ selectedPlaneId: null, tapLocalPosition: null });
   };
 
+  // ---------------------------------------------------------------------------
+  // World → plane-local coordinate conversion
+  // ---------------------------------------------------------------------------
+
   /**
-   * This function allows the user to reset the surface and select a new plane.
+   * Convert a world-space position to ViroARPlane's local coordinate space.
+   *
+   * ViroARPlane local origin  = anchor.position  (world-space translation
+   *   extracted from the ARKit/ARCore anchor transform via
+   *   VROMatrix4f::extractTranslation — see VRTARUtils.m).
+   *
+   * ViroARPlane orientation   = anchor.rotation  (Euler angles in degrees,
+   *   extracted via VROMatrix4f::extractRotation().toEuler(), X-Y-Z order
+   *   confirmed from VROMatrix4f::rotate which calls rotateX→rotateY→rotateZ).
+   *
+   * Combined rotation: R = Rx · Ry · Rz
+   * World→local:       local = Rᵀ · (world − anchorPosition)
+   *                    (Rᵀ = R⁻¹ since R is orthogonal)
+   *
+   * The returned Y component represents distance from the plane surface.
+   * Callers should clamp it to 0 to keep children on the surface.
    */
-  reset = () => {
-    this.setState({
-      selectedPlaneId: null,
-    });
+  _worldToLocal = (
+    world: [number, number, number],
+    anchorPosition: [number, number, number],
+    rotationDeg: [number, number, number]
+  ): [number, number, number] => {
+    const toRad = Math.PI / 180;
+    const c1 = Math.cos(rotationDeg[0] * toRad), s1 = Math.sin(rotationDeg[0] * toRad); // rx
+    const c2 = Math.cos(rotationDeg[1] * toRad), s2 = Math.sin(rotationDeg[1] * toRad); // ry
+    const c3 = Math.cos(rotationDeg[2] * toRad), s3 = Math.sin(rotationDeg[2] * toRad); // rz
+
+    const dx = world[0] - anchorPosition[0];
+    const dy = world[1] - anchorPosition[1];
+    const dz = world[2] - anchorPosition[2];
+
+    // Rᵀ of (Rx·Ry·Rz) applied to [dx, dy, dz]:
+    return [
+       c2*c3*dx + (s1*s2*c3 + c1*s3)*dy + (-c1*s2*c3 + s1*s3)*dz,
+      -c2*s3*dx + (-s1*s2*s3 + c1*c3)*dy + ( c1*s2*s3 + s1*c3)*dz,
+       s2*dx    + (-s1*c2)*dy             +   c1*c2*dz,
+    ];
   };
+
+  // ---------------------------------------------------------------------------
+  // Private helpers
+  // ---------------------------------------------------------------------------
+
+  _passesAlignmentFilter = (anchor: ViroAnchor): boolean => {
+    const { alignment } = this.props;
+    if (!alignment || alignment === "Both") return true;
+    if (!anchor.alignment) return false;
+    if (alignment === "Horizontal")
+      return anchor.alignment.includes("Horizontal");
+    if (alignment === "Vertical") return anchor.alignment.includes("Vertical");
+    return anchor.alignment === alignment;
+  };
+
+  // ---------------------------------------------------------------------------
+  // Render
+  // ---------------------------------------------------------------------------
+
+  render() {
+    return <ViroNode>{this._renderPlanes()}</ViroNode>;
+  }
+
+  _renderPlanes() {
+    const { selectedPlaneId, planes } = this.state;
+    const materialName =
+      this.props.material ?? "ViroARPlaneSelector_Translucent";
+    const elements: React.JSX.Element[] = [];
+
+    planes.forEach((anchor, anchorId) => {
+      const isSelected = selectedPlaneId === anchorId;
+      // hideOverlayOnSelection defaults to true: hide the overlay once a plane
+      // is selected (only children remain visible). Set to false to keep the
+      // selected plane's overlay visible after selection.
+      const hideOnSelection = this.props.hideOverlayOnSelection !== false;
+      const surfaceOpacity =
+        selectedPlaneId === null ? 1 :          // no selection → all visible
+        isSelected && !hideOnSelection ? 1 :    // selected, overlay kept
+        0;                                      // selected+hide or unselected → hide
+
+      const vertices3D = anchor.vertices;
+      const vertices2D =
+        vertices3D && vertices3D.length >= 3
+          ? vertices3D.map(
+              ([x, _y, z]: [number, number, number]): [number, number] => [
+                x,
+                z,
+              ]
+            )
+          : undefined;
+
+      // ViroPolygon renders in XY; vertices are in XZ — rotate to align.
+      const polygonRotation: [number, number, number] = [-90, 0, 0];
+
+      const useActualShape =
+        this.props.useActualShape !== false &&
+        vertices2D !== undefined &&
+        vertices2D.length >= 3;
+
+      // Click handler — only attached when click selection is enabled.
+      const clickHandlerProps = this.props.disableClickSelection
+        ? {}
+        : {
+            onClickState: (
+              clickState: number,
+              tapWorld: [number, number, number]
+            ) => {
+              // clickState 3 = CLICKED (click down + up on same target)
+              if (clickState === 3) {
+                const plane = this.state.planes.get(anchorId);
+                if (plane) {
+                  // Convert world-space tap → plane-local, clamped to surface (Y=0).
+                  const local = this._worldToLocal(
+                    tapWorld,
+                    plane.position as [number, number, number],
+                    plane.rotation as [number, number, number]
+                  );
+                  const tapLocal: [number, number, number] = [local[0], 0, local[2]];
+
+                  this.setState(
+                    { selectedPlaneId: anchorId, tapLocalPosition: tapLocal },
+                    () => this.props.onPlaneSelected?.(plane, tapWorld)
+                  );
+                }
+              }
+            },
+          };
+
+      const visual = useActualShape ? (
+        <ViroPolygon
+          key={`poly-${anchorId}`}
+          vertices={vertices2D!}
+          holes={[]}
+          materials={[materialName]}
+          {...clickHandlerProps}
+          position={[0, 0, 0]}
+          rotation={polygonRotation}
+          opacity={surfaceOpacity}
+        />
+      ) : (
+        <ViroQuad
+          key={`quad-${anchorId}`}
+          materials={[materialName]}
+          {...clickHandlerProps}
+          position={[0, 0, 0]}
+          width={anchor.width ?? 0.5}
+          height={anchor.height ?? 0.5}
+          rotation={polygonRotation}
+          opacity={surfaceOpacity}
+        />
+      );
+
+      elements.push(
+        <ViroARPlane
+          key={anchorId}
+          anchorId={anchorId}
+          minWidth={this.props.minWidth ?? 0}
+          minHeight={this.props.minHeight ?? 0}
+          onAnchorUpdated={(a) => this.handleAnchorUpdated(a as ViroAnchor)}
+        >
+          {visual}
+          {isSelected && this.props.children != null && (
+            <ViroNode position={this.state.tapLocalPosition ?? [0, 0, 0]}>
+              {this.props.children}
+            </ViroNode>
+          )}
+        </ViroARPlane>
+      );
+    });
+
+    return elements;
+  }
 }
 
 ViroMaterials.createMaterials({
   ViroARPlaneSelector_Translucent: {
     lightingModel: "Constant",
-    diffuseColor: "rgba(0, 122, 255, 0.5)", // Bright blue with 50% opacity for better visibility
+    diffuseColor: "rgba(0, 122, 255, 0.5)",
     blendMode: "Alpha",
-    cullMode: "None", // Render both sides for better Android compatibility
+    cullMode: "None",
     writesToDepthBuffer: false,
   },
 });
diff --git a/components/AR/ViroARScene.tsx b/components/AR/ViroARScene.tsx
index 8b5fea7b..fb95411d 100644
--- a/components/AR/ViroARScene.tsx
+++ b/components/AR/ViroARScene.tsx
@@ -420,7 +420,7 @@ export class ViroARScene extends ViroBase<Props> {
     let anchorDetectionTypes =
       typeof this.props.anchorDetectionTypes === "string"
         ? new Array(this.props.anchorDetectionTypes)
-        : this.props.anchorDetectionTypes;
+        : this.props.anchorDetectionTypes ?? ["planesHorizontal", "planesVertical"];
 
     let timeToFuse = undefined;
     if (
diff --git a/components/AR/ViroARSceneNavigator.tsx b/components/AR/ViroARSceneNavigator.tsx
index 17c5d955..bdc61348 100644
--- a/components/AR/ViroARSceneNavigator.tsx
+++ b/components/AR/ViroARSceneNavigator.tsx
@@ -22,11 +22,10 @@ import {
 } from "react-native";
 import {
   ViroWorldOrigin,
-  ViroCloudAnchorProvider,
+  ViroProvider,
   ViroCloudAnchorStateChangeEvent,
   ViroHostCloudAnchorResult,
   ViroResolveCloudAnchorResult,
-  ViroGeospatialAnchorProvider,
   ViroGeospatialSupportResult,
   ViroEarthTrackingStateResult,
   ViroGeospatialPoseResult,
@@ -103,6 +102,20 @@ type Props = ViewProps & {
    */
   occlusionMode?: ViroOcclusionMode;
 
+  /**
+   * Enables depth sensing without activating occlusion rendering.
+   * Virtual objects will NOT be occluded by real-world surfaces, but depth data
+   * will be available for hit tests (DepthPoint type) and distance measurement.
+   *
+   * If occlusionMode="depthBased" is also set, occlusionMode takes precedence.
+   *
+   * Android: requires ARCore Depth API support (ARCore 1.18+).
+   * iOS: uses LiDAR on supported devices, monocular depth estimator as fallback.
+   *
+   * @default false
+   */
+  depthEnabled?: boolean;
+
   /**
    * [Debug] Enable depth debug visualization to see how the depth texture is being sampled.
    * When enabled, the camera background will show a color overlay representing depth values:
@@ -140,14 +153,17 @@ type Props = ViewProps & {
   preferMonocularDepth?: boolean;
 
   /**
-   * Enable cloud anchors for cross-platform anchor sharing.
-   * When set to 'arcore', the ARCore Cloud Anchors SDK will be used.
-   * Requires a valid Google Cloud API key configured in the native project.
+   * Cloud and geospatial anchor provider.
+   * Set to `"reactvision"` (default) for the ReactVision backend,
+   * `"arcore"` for Google Cloud Anchors, or `"none"` to disable.
    *
-   * @default "none"
+   * Replaces the old `cloudAnchorProvider` / `geospatialAnchorProvider` props,
+   * which are now deprecated. Both providers are set to the same value.
+   *
+   * @default "reactvision"
    * @platform ios,android
    */
-  cloudAnchorProvider?: ViroCloudAnchorProvider;
+  provider?: ViroProvider;
 
   /**
    * Callback fired when a cloud anchor state changes.
@@ -155,16 +171,6 @@ type Props = ViewProps & {
    */
   onCloudAnchorStateChange?: (event: ViroCloudAnchorStateChangeEvent) => void;
 
-  /**
-   * Enable the ARCore Geospatial API for location-based AR experiences.
-   * When set to 'arcore', the ARCore Geospatial SDK will be used.
-   * Requires a valid Google Cloud API key configured in the native project.
-   *
-   * @default "none"
-   * @platform ios,android
-   */
-  geospatialAnchorProvider?: ViroGeospatialAnchorProvider;
-
   /**
    * Enable world mesh for physics collision with real-world surfaces.
    * When enabled, virtual physics objects will collide with detected
@@ -932,6 +938,208 @@ export class ViroARSceneNavigator extends React.Component<Props, State> {
     );
   };
 
+  /**
+   * ReactVision — save GPS coordinates to the backend and return a cross-device shareable UUID.
+   * Does NOT create a local AR anchor — call createGeospatialAnchor separately for AR placement.
+   *
+   * @param latitude     WGS84 latitude
+   * @param longitude    WGS84 longitude
+   * @param altitude     Altitude in metres
+   * @param altitudeMode "street_level" (default) or "rooftop_level"
+   * @returns Promise resolving to { success, anchorId } where anchorId is the platform UUID
+   */
+  _hostGeospatialAnchor = async (
+    latitude: number,
+    longitude: number,
+    altitude: number,
+    altitudeMode?: string
+  ): Promise<any> => {
+    return await ViroARSceneNavigatorModule.hostGeospatialAnchor(
+      findNodeHandle(this),
+      latitude,
+      longitude,
+      altitude,
+      altitudeMode || "street_level"
+    );
+  };
+
+  /**
+   * ReactVision — fetch GPS coordinates from the backend by platform UUID and create a local AR anchor.
+   * Combines rvGetGeospatialAnchor + createGeospatialAnchor into a single call.
+   *
+   * @param platformUuid UUID returned by hostGeospatialAnchor
+   * @param quaternion   Orientation [x, y, z, w] (default identity)
+   * @returns Promise resolving to { success, anchor: { anchorId, latitude, longitude, altitude } }
+   */
+  _resolveGeospatialAnchor = async (
+    platformUuid: string,
+    quaternion?: ViroQuaternion
+  ): Promise<any> => {
+    return await ViroARSceneNavigatorModule.resolveGeospatialAnchor(
+      findNodeHandle(this),
+      platformUuid,
+      quaternion || [0, 0, 0, 1]
+    );
+  };
+
+  /**
+   * ReactVision — fetch a geospatial anchor record by UUID.
+   * Returns the anchor with linked scene asset data (position, rotation, scale, fileUrl).
+   */
+  _rvGetGeospatialAnchor = async (anchorId: string): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvGetGeospatialAnchor(
+      findNodeHandle(this),
+      anchorId
+    );
+  };
+
+  /**
+   * ReactVision — find geospatial anchors near a GPS location.
+   * @param latitude  Centre latitude
+   * @param longitude Centre longitude
+   * @param radius    Search radius in metres (default 500)
+   * @param limit     Max results (default 50)
+   */
+  _rvFindNearbyGeospatialAnchors = async (
+    latitude: number,
+    longitude: number,
+    radius: number = 500,
+    limit: number = 50
+  ): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvFindNearbyGeospatialAnchors(
+      findNodeHandle(this),
+      latitude,
+      longitude,
+      radius,
+      limit
+    );
+  };
+
+  /**
+   * ReactVision — update a geospatial anchor (link scene asset, scene, or rename).
+   * Pass null/empty string to leave a field unchanged.
+   */
+  _rvUpdateGeospatialAnchor = async (
+    anchorId: string,
+    sceneAssetId?: string,
+    sceneId?: string,
+    name?: string,
+    userAssetId?: string
+  ): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvUpdateGeospatialAnchor(
+      findNodeHandle(this),
+      anchorId,
+      sceneAssetId ?? "",
+      sceneId ?? "",
+      name ?? "",
+      userAssetId ?? ""
+    );
+  };
+
+  _rvUploadAsset = async (
+    filePath: string,
+    assetType: string,
+    fileName: string,
+    appUserId?: string
+  ): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvUploadAsset(
+      findNodeHandle(this),
+      filePath,
+      assetType,
+      fileName,
+      appUserId ?? ""
+    );
+  };
+
+  /**
+   * ReactVision — permanently delete a geospatial anchor from the backend.
+   */
+  _rvDeleteGeospatialAnchor = async (anchorId: string): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvDeleteGeospatialAnchor(
+      findNodeHandle(this),
+      anchorId
+    );
+  };
+
+  _rvListGeospatialAnchors = async (limit: number, offset: number): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvListGeospatialAnchors(
+      findNodeHandle(this), limit, offset
+    );
+  };
+
+  // ===========================================================================
+  // Cloud Anchor Management API Methods
+  // ===========================================================================
+
+  _rvGetCloudAnchor = async (anchorId: string): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvGetCloudAnchor(findNodeHandle(this), anchorId);
+  };
+
+  _rvListCloudAnchors = async (limit: number, offset: number): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvListCloudAnchors(findNodeHandle(this), limit, offset);
+  };
+
+  _rvUpdateCloudAnchor = async (
+    anchorId: string,
+    name: string,
+    description: string,
+    isPublic: boolean
+  ): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvUpdateCloudAnchor(
+      findNodeHandle(this), anchorId, name, description, isPublic
+    );
+  };
+
+  _rvDeleteCloudAnchor = async (anchorId: string): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvDeleteCloudAnchor(findNodeHandle(this), anchorId);
+  };
+
+  _rvFindNearbyCloudAnchors = async (
+    latitude: number,
+    longitude: number,
+    radius: number,
+    limit: number
+  ): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvFindNearbyCloudAnchors(
+      findNodeHandle(this), latitude, longitude, radius, limit
+    );
+  };
+
+  _rvAttachAssetToCloudAnchor = async (
+    anchorId: string,
+    fileUrl: string,
+    fileSize: number,
+    name: string,
+    assetType: string,
+    externalUserId: string
+  ): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvAttachAssetToCloudAnchor(
+      findNodeHandle(this), anchorId, fileUrl, fileSize, name, assetType, externalUserId
+    );
+  };
+
+  _rvRemoveAssetFromCloudAnchor = async (anchorId: string, assetId: string): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvRemoveAssetFromCloudAnchor(
+      findNodeHandle(this), anchorId, assetId
+    );
+  };
+
+  _rvTrackCloudAnchorResolution = async (
+    anchorId: string,
+    success: boolean,
+    confidence: number,
+    matchCount: number,
+    inlierCount: number,
+    processingTimeMs: number,
+    platform: string,
+    externalUserId: string
+  ): Promise<any> => {
+    return await ViroARSceneNavigatorModule.rvTrackCloudAnchorResolution(
+      findNodeHandle(this), anchorId, success, confidence, matchCount,
+      inlierCount, processingTimeMs, platform, externalUserId
+    );
+  };
+
   // ===========================================================================
   // Scene Semantics API Methods
   // ===========================================================================
@@ -1166,9 +1374,28 @@ export class ViroARSceneNavigator extends React.Component<Props, State> {
     getCameraGeospatialPose: this._getCameraGeospatialPose,
     checkVPSAvailability: this._checkVPSAvailability,
     createGeospatialAnchor: this._createGeospatialAnchor,
+    hostGeospatialAnchor: this._hostGeospatialAnchor,
+    resolveGeospatialAnchor: this._resolveGeospatialAnchor,
     createTerrainAnchor: this._createTerrainAnchor,
     createRooftopAnchor: this._createRooftopAnchor,
     removeGeospatialAnchor: this._removeGeospatialAnchor,
+    // ReactVision Geospatial CRUD
+    rvGetGeospatialAnchor: this._rvGetGeospatialAnchor,
+    rvFindNearbyGeospatialAnchors: this._rvFindNearbyGeospatialAnchors,
+    rvUpdateGeospatialAnchor: this._rvUpdateGeospatialAnchor,
+    rvDeleteGeospatialAnchor: this._rvDeleteGeospatialAnchor,
+    rvListGeospatialAnchors: this._rvListGeospatialAnchors,
+    // ReactVision Cloud Anchor Management
+    rvGetCloudAnchor: this._rvGetCloudAnchor,
+    rvListCloudAnchors: this._rvListCloudAnchors,
+    rvUpdateCloudAnchor: this._rvUpdateCloudAnchor,
+    rvDeleteCloudAnchor: this._rvDeleteCloudAnchor,
+    rvFindNearbyCloudAnchors: this._rvFindNearbyCloudAnchors,
+    rvAttachAssetToCloudAnchor: this._rvAttachAssetToCloudAnchor,
+    rvRemoveAssetFromCloudAnchor: this._rvRemoveAssetFromCloudAnchor,
+    rvTrackCloudAnchorResolution: this._rvTrackCloudAnchorResolution,
+    // Assets API
+    rvUploadAsset: this._rvUploadAsset,
     // Scene Semantics API
     isSemanticModeSupported: this._isSemanticModeSupported,
     setSemanticModeEnabled: this._setSemanticModeEnabled,
@@ -1205,9 +1432,28 @@ export class ViroARSceneNavigator extends React.Component<Props, State> {
     getCameraGeospatialPose: this._getCameraGeospatialPose,
     checkVPSAvailability: this._checkVPSAvailability,
     createGeospatialAnchor: this._createGeospatialAnchor,
+    hostGeospatialAnchor: this._hostGeospatialAnchor,
+    resolveGeospatialAnchor: this._resolveGeospatialAnchor,
     createTerrainAnchor: this._createTerrainAnchor,
     createRooftopAnchor: this._createRooftopAnchor,
     removeGeospatialAnchor: this._removeGeospatialAnchor,
+    // ReactVision Geospatial CRUD
+    rvGetGeospatialAnchor: this._rvGetGeospatialAnchor,
+    rvFindNearbyGeospatialAnchors: this._rvFindNearbyGeospatialAnchors,
+    rvUpdateGeospatialAnchor: this._rvUpdateGeospatialAnchor,
+    rvDeleteGeospatialAnchor: this._rvDeleteGeospatialAnchor,
+    rvListGeospatialAnchors: this._rvListGeospatialAnchors,
+    // ReactVision Cloud Anchor Management
+    rvGetCloudAnchor: this._rvGetCloudAnchor,
+    rvListCloudAnchors: this._rvListCloudAnchors,
+    rvUpdateCloudAnchor: this._rvUpdateCloudAnchor,
+    rvDeleteCloudAnchor: this._rvDeleteCloudAnchor,
+    rvFindNearbyCloudAnchors: this._rvFindNearbyCloudAnchors,
+    rvAttachAssetToCloudAnchor: this._rvAttachAssetToCloudAnchor,
+    rvRemoveAssetFromCloudAnchor: this._rvRemoveAssetFromCloudAnchor,
+    rvTrackCloudAnchorResolution: this._rvTrackCloudAnchorResolution,
+    // Assets API
+    rvUploadAsset: this._rvUploadAsset,
     // Scene Semantics API
     isSemanticModeSupported: this._isSemanticModeSupported,
     setSemanticModeEnabled: this._setSemanticModeEnabled,
@@ -1242,14 +1488,20 @@ export class ViroARSceneNavigator extends React.Component<Props, State> {
       delete this.sceneNavigator.viroAppProps?.rootTag;
     }
 
-    const { viroAppProps = {} } = this.props;
+    const {
+      viroAppProps = {},
+      provider = "reactvision",
+      ...restProps
+    } = this.props;
 
     return (
       <VRTARSceneNavigator
         ref={(component) => {
           this._component = component;
         }}
-        {...this.props}
+        {...restProps}
+        cloudAnchorProvider={provider}
+        geospatialAnchorProvider={provider}
         viroAppProps={viroAppProps}
         currentSceneIndex={this.state.currentSceneIndex}
         style={(this.props.style, styles.container)}
diff --git a/components/Material/ViroMaterials.ts b/components/Material/ViroMaterials.ts
index 3a79dc22..ae4b13fa 100644
--- a/components/Material/ViroMaterials.ts
+++ b/components/Material/ViroMaterials.ts
@@ -57,6 +57,20 @@ export type ViroResolvedCubeMap = {
 export type ViroShaderModifier = {
   body?: string;
   uniforms?: string;
+  /** Typed varying declarations shared between vertex and fragment stages.
+   *  Each string is a GLSL type+name pair, e.g. "highp float displacement".
+   *  The 'out' / 'in' qualifiers are added automatically. */
+  varyings?: string[];
+  /** When true the modifier may declare and sample
+   *  'uniform sampler2D scene_depth_texture'.
+   *  The engine auto-binds the previous frame's scene depth buffer (HDR mode only).
+   *  The sampler is bound by name — this flag is informational metadata. */
+  requiresSceneDepth?: boolean;
+  /** When true the modifier may declare and sample 'uniform sampler2D camera_texture'.
+   *  The engine auto-binds the live AR camera background texture.
+   *  On Android (ARCore) the OES extension and samplerExternalOES are injected automatically.
+   *  A 'uniform mat4 camera_image_transform' is also auto-bound for UV mapping. */
+  requiresCameraTexture?: boolean;
 };
 
 export type ViroShaderModifiers = {
@@ -158,10 +172,6 @@ export class ViroMaterials {
     }
 
     if (MaterialManager) {
-      console.log(
-        "ViroMaterials: Sending materials to native:",
-        Object.keys(result)
-      );
       MaterialManager.setJSMaterials(result);
     } else {
       console.error(
@@ -187,7 +197,7 @@ export class ViroMaterials {
    *
    * @param materialName - The name of the material to update
    * @param uniformName - The name of the uniform variable (e.g., "time")
-   * @param uniformType - The type of the uniform ("float", "vec2", "vec3", "vec4", "mat4")
+   * @param uniformType - The type of the uniform ("float", "vec2", "vec3", "vec4", "mat4", "sampler2D")
    * @param value - The new value (number for float, array for vectors/matrices)
    *
    * @example
@@ -201,8 +211,8 @@ export class ViroMaterials {
   static updateShaderUniform(
     materialName: string,
     uniformName: string,
-    uniformType: "float" | "vec2" | "vec3" | "vec4" | "mat4",
-    value: number | number[]
+    uniformType: "float" | "vec2" | "vec3" | "vec4" | "mat4" | "sampler2D",
+    value: number | number[] | any
   ) {
     if (!MaterialManager) {
       console.error(
@@ -210,6 +220,11 @@ export class ViroMaterials {
       );
       return;
     }
-    MaterialManager.updateShaderUniform(materialName, uniformName, uniformType, value);
+    MaterialManager.updateShaderUniform(
+      materialName,
+      uniformName,
+      uniformType,
+      value
+    );
   }
 }
diff --git a/components/Types/ViroEvents.ts b/components/Types/ViroEvents.ts
index b03f92c2..30b54167 100644
--- a/components/Types/ViroEvents.ts
+++ b/components/Types/ViroEvents.ts
@@ -419,9 +419,12 @@ export type ViroCloudAnchorState =
   | "ErrorHostingServiceUnavailable";
 
 /**
- * Cloud anchor provider type.
+ * Unified AR provider — controls both cloud anchors and geospatial anchors.
  */
-export type ViroCloudAnchorProvider = "none" | "arcore";
+export type ViroProvider = "none" | "arcore" | "reactvision";
+
+/** @deprecated Use ViroProvider */
+export type ViroCloudAnchorProvider = ViroProvider;
 
 /**
  * Represents a cloud-hosted AR anchor.
@@ -475,10 +478,8 @@ export type ViroCloudAnchorStateChangeEvent = {
  * Viro Geospatial API Events and Types
  * ============================================================================ */
 
-/**
- * Geospatial anchor provider type.
- */
-export type ViroGeospatialAnchorProvider = "none" | "arcore";
+/** @deprecated Use ViroProvider */
+export type ViroGeospatialAnchorProvider = ViroProvider;
 
 /**
  * Earth tracking state.
diff --git a/components/Utilities/ViroUtils.tsx b/components/Utilities/ViroUtils.tsx
index 3da6ddc7..05c26765 100644
--- a/components/Utilities/ViroUtils.tsx
+++ b/components/Utilities/ViroUtils.tsx
@@ -67,6 +67,74 @@ export function polarToCartesianActual(polarcoords: number[]) {
 }
 
 import { Platform, NativeModules } from "react-native";
+import type { ViroGeospatialPose } from "../Types/ViroEvents";
+
+// ---------------------------------------------------------------------------
+// Geospatial utilities — GPS ↔ AR world-space conversion
+// ---------------------------------------------------------------------------
+
+const EARTH_RADIUS_M = 6378137; // WGS84 equatorial radius in metres
+
+/**
+ * Convert a lat/lng pair to Web Mercator coordinates (metres).
+ * Returns [x (Easting), y (Northing)].
+ */
+export function latLngToMercator(
+  lat: number,
+  lng: number,
+): [number, number] {
+  const x = EARTH_RADIUS_M * (lng * Math.PI) / 180;
+  const y =
+    EARTH_RADIUS_M *
+    Math.log(Math.tan(Math.PI / 4 + (lat * Math.PI) / 360));
+  return [x, y];
+}
+
+/**
+ * Convert a GPS position (lat/lng/alt) to an AR world-space offset from the
+ * device's current geospatial pose.
+ *
+ * Uses a Mercator projection for the horizontal plane and the device compass
+ * heading to rotate into the AR coordinate frame:
+ *   +X = right,  +Y = up,  -Z = forward (right-hand rule)
+ *
+ * @param devicePose  Current camera geospatial pose from getCameraGeospatialPose()
+ * @param anchorLat   Target latitude in degrees
+ * @param anchorLng   Target longitude in degrees
+ * @param anchorAlt   Target altitude in metres (WGS84)
+ * @returns [arX, arY, arZ] position in metres relative to the device
+ */
+export function gpsToArWorld(
+  devicePose: ViroGeospatialPose,
+  anchorLat: number,
+  anchorLng: number,
+  anchorAlt: number,
+): [number, number, number] {
+  const [devX, devY] = latLngToMercator(devicePose.latitude, devicePose.longitude);
+  const [ancX, ancY] = latLngToMercator(anchorLat, anchorLng);
+
+  // Delta in metres: East (X) and North (Y)
+  const deltaE = ancX - devX;
+  const deltaN = ancY - devY;
+  const deltaAlt = anchorAlt - devicePose.altitude;
+
+  // Bearing from device to anchor (clockwise from North, radians)
+  const bearing = Math.atan2(deltaE, deltaN);
+  const distance = Math.sqrt(deltaE * deltaE + deltaN * deltaN);
+
+  // Device compass heading: degrees CW from North → radians
+  const headingRad = (devicePose.heading * Math.PI) / 180;
+
+  // Relative bearing in device frame
+  const relBearing = bearing - headingRad;
+
+  // AR frame: +X = right, -Z = forward
+  return [
+    distance * Math.sin(relBearing), // arX
+    deltaAlt,                         // arY (altitude difference)
+    -distance * Math.cos(relBearing), // arZ
+  ];
+}
 
 export interface ViroiOSArSupportResponse {
   isARSupported: boolean;
diff --git a/components/Utilities/ViroVersion.ts b/components/Utilities/ViroVersion.ts
index 90e2c26e..8cd4d652 100644
--- a/components/Utilities/ViroVersion.ts
+++ b/components/Utilities/ViroVersion.ts
@@ -1 +1 @@
-export const VIRO_VERSION = "2.52.1";
+export const VIRO_VERSION = "2.53.0";
diff --git a/dist/components/AR/ViroARPlaneSelector.d.ts b/dist/components/AR/ViroARPlaneSelector.d.ts
index 2ac3d443..3e19857c 100644
--- a/dist/components/AR/ViroARPlaneSelector.d.ts
+++ b/dist/components/AR/ViroARPlaneSelector.d.ts
@@ -8,39 +8,292 @@
  *
  * @providesModule ViroARPlaneSelector
  */
-import { ViroClickStateEvent, ViroPlaneUpdatedMap } from "../Types/ViroEvents";
-import { ViroARPlaneType, ViroNativeRef } from "../Types/ViroUtils";
+import { ViroAnchor, ViroPlaneUpdatedMap } from "../Types/ViroEvents";
 import * as React from "react";
 type Props = {
+    /**
+     * Minimum height (meters) a detected plane must have before it is shown.
+     * Planes smaller than this are silently ignored. Default: 0 (no minimum).
+     */
     minHeight?: number;
+    /**
+     * Minimum width (meters) a detected plane must have before it is shown.
+     * Planes smaller than this are silently ignored. Default: 0 (no minimum).
+     */
     minWidth?: number;
+    /**
+     * Which plane orientations to accept.
+     *
+     * | Value              | Accepted planes                        |
+     * |--------------------|----------------------------------------|
+     * | `"Horizontal"`     | Both HorizontalUpward + HorizontalDownward |
+     * | `"HorizontalUpward"` | Upward-facing floors/tables only      |
+     * | `"HorizontalDownward"` | Downward-facing ceilings only       |
+     * | `"Vertical"`       | Walls and vertical surfaces only       |
+     * | `"Both"` (default) | All orientations                       |
+     *
+     * Default: `"Both"` (accept every plane ARKit/ARCore detects).
+     */
     alignment?: "Horizontal" | "HorizontalUpward" | "HorizontalDownward" | "Vertical" | "Both";
-    onPlaneSelected?: (updateMap: ViroPlaneUpdatedMap) => void;
-    onPlaneDetected?: (updateMap: ViroPlaneUpdatedMap) => boolean;
+    /**
+     * Called once when the user taps a plane and it becomes selected.
+     *
+     * @param plane       The ViroAnchor of the selected plane.  Includes
+     *                    `center` (local offset), `width`, `height`,
+     *                    `alignment`, `vertices`, and `classification`.
+     * @param tapPosition World-space position of the tap ray–surface
+     *                    intersection.  Use this when you need to know
+     *                    the exact 3-D point the user touched (e.g. to
+     *                    spawn a particle at the contact point).
+     *
+     * Note: children are automatically placed at the tap point inside the
+     * plane's local coordinate space — you do NOT need to read tapPosition
+     * just to get the object at the right location.
+     */
+    onPlaneSelected?: (plane: ViroPlaneUpdatedMap, tapPosition?: [number, number, number]) => void;
+    /**
+     * Called for every plane that passes the alignment and size filters,
+     * before it is added to the visible set.
+     *
+     * Return `false` to reject the plane (e.g. skip planes that are too
+     * far away, or have the wrong classification).  Any other return value
+     * (including `undefined`) accepts the plane.
+     */
+    onPlaneDetected?: (plane: ViroPlaneUpdatedMap) => boolean;
+    /**
+     * Called when ARKit/ARCore removes a previously detected plane.
+     *
+     * If the removed plane was the selected one, the selection is
+     * automatically cleared and `reset()` does not need to be called.
+     *
+     * @param anchorId The ARKit/ARCore anchor ID of the removed plane.
+     */
+    onPlaneRemoved?: (anchorId: string) => void;
+    /**
+     * When `true` (default), the plane overlay for the selected plane is
+     * hidden after the user makes a selection.  Only `children` remain
+     * visible, giving a clean look without the blue indicator underneath
+     * the placed content.
+     *
+     * Set to `false` to keep the overlay visible on the selected plane
+     * (e.g. to let the user see the plane boundary while repositioning
+     * content).
+     *
+     * Unselected planes are always hidden once a selection is made,
+     * regardless of this prop.
+     *
+     * Default: `true`.
+     */
+    hideOverlayOnSelection?: boolean;
+    /**
+     * When `true`, tapping a plane overlay does not trigger selection.
+     * Use this when you want to select planes programmatically (e.g. via
+     * a hit-test in `ViroARScene.performARHitTestWithPoint`) rather than
+     * through direct tap.
+     *
+     * Default: `false` (tap-to-select is enabled).
+     */
     disableClickSelection?: boolean;
+    /**
+     * When `true` (default), the plane overlay uses ARKit/ARCore's actual
+     * polygon boundary vertices (`ViroPolygon`) for a precise fit.
+     *
+     * When `false`, or before ARKit has provided polygon vertices, the
+     * overlay falls back to an axis-aligned bounding rectangle
+     * (`ViroQuad` sized to `anchor.width × anchor.height`).
+     *
+     * Default: `true`.
+     */
     useActualShape?: boolean;
+    /**
+     * Name of a `ViroMaterials`-registered material to use for the plane
+     * overlay surface.  The material is applied to both the `ViroPolygon`
+     * (actual-shape) and the `ViroQuad` (bounding-rect) fallback.
+     *
+     * Default: `"ViroARPlaneSelector_Translucent"` — a semi-transparent
+     * blue material registered at the bottom of this file.
+     */
+    material?: string;
+    /**
+     * Content to place on the selected plane at the tap point.
+     *
+     * Children are rendered as children of `ViroARPlane` (plane-local
+     * coordinate space) and are wrapped in a `ViroNode` positioned at the
+     * tap location on the plane surface (Y = 0 in local space = on the
+     * surface).
+     *
+     * Children should position themselves relative to this origin:
+     *   - `position={[0, 0.5, 0]}` — 50 cm above the tap point (typical
+     *     for a 3-D object resting on a floor or wall).
+     *   - `position={[0, 0, 0]}`   — at the exact tap contact point.
+     *
+     * Children are NOT rendered until a plane is selected.
+     */
     children?: React.ReactNode;
 };
 type State = {
+    /** anchorId of the currently selected plane, or null if none selected. */
     selectedPlaneId: string | null;
-    foundARPlanes: Map<string, ViroARPlaneType>;
+    /**
+     * Tap point in the selected plane's local coordinate space (Y=0 on surface).
+     * Used to position children at the location the user tapped rather than at
+     * the plane's geometric center.  Cleared by reset().
+     */
+    tapLocalPosition: [number, number, number] | null;
+    /** Live map of all accepted planes keyed by their ARKit/ARCore anchor ID. */
+    planes: Map<string, ViroAnchor>;
 };
 /**
- * This component wraps the logic required to enable user selection
- * of an AR plane. This currently only allows for 1 plane to be selected,
- * but could easily be modified to allow for more planes.
+ * ViroARPlaneSelector
+ *
+ * Detects AR planes reported by ARKit (iOS) or ARCore (Android), renders a
+ * tappable overlay on each one, and places your content on the plane the user
+ * selects — at the exact point they tapped.
+ *
+ * ─────────────────────────────────────────────────────────────────────────────
+ * REQUIRED WIRING  (breaking change from the original component)
+ * ─────────────────────────────────────────────────────────────────────────────
+ * The component no longer self-discovers planes.  You must forward the
+ * parent ViroARScene's anchor events to it via a ref:
+ *
+ *   ```tsx
+ *   const selectorRef = useRef<ViroARPlaneSelector>(null);
+ *
+ *   <ViroARScene
+ *     anchorDetectionTypes={["PlanesHorizontal", "PlanesVertical"]}
+ *     onAnchorFound={(a)   => selectorRef.current?.handleAnchorFound(a)}
+ *     onAnchorUpdated={(a) => selectorRef.current?.handleAnchorUpdated(a)}
+ *     onAnchorRemoved={(a) => a && selectorRef.current?.handleAnchorRemoved(a)}
+ *   >
+ *     <ViroARPlaneSelector
+ *       ref={selectorRef}
+ *       alignment="Both"
+ *       onPlaneSelected={(plane, tapPos) => console.log("selected", plane, tapPos)}
+ *     >
+ *       <Viro3DObject source={...} position={[0, 0.5, 0]} type="GLB" />
+ *     </ViroARPlaneSelector>
+ *   </ViroARScene>
+ *   ```
+ *
+ * ─────────────────────────────────────────────────────────────────────────────
+ * BEHAVIOUR
+ * ─────────────────────────────────────────────────────────────────────────────
+ * 1. Plane discovery
+ *    `handleAnchorFound` is called for every new ARKit/ARCore plane anchor.
+ *    Planes are filtered by `alignment`, `minWidth`, `minHeight`, and the
+ *    optional `onPlaneDetected` callback.  Accepted planes are stored in an
+ *    internal Map keyed by their ARKit/ARCore anchor ID — no pre-allocated
+ *    slots, no index-mapping artefacts.
+ *
+ * 2. Plane visualisation
+ *    Each accepted plane gets one overlay rendered as a child of
+ *    `ViroARPlane anchorId={id}` so it is always locked to the correct
+ *    real-world surface.  The overlay is:
+ *      - A `ViroPolygon` matching ARKit's actual boundary vertices when
+ *        `useActualShape` is true (default) and vertices are available.
+ *      - A `ViroQuad` (bounding rectangle) otherwise.
+ *    All overlays are visible until one is selected; then the others hide.
+ *
+ * 3. Selection & tap-position placement
+ *    When the user taps an overlay the world-space intersection point is
+ *    converted to the plane's local coordinate space using the full
+ *    inverse rotation (R = Rx·Ry·Rz, X-Y-Z Euler order from VROMatrix4f).
+ *    Children are wrapped in a `ViroNode` positioned at that local point
+ *    (Y=0 = on the surface), so objects appear exactly where you touched —
+ *    not at the plane's geometric centre.
+ *
+ * 4. Plane removal
+ *    `handleAnchorRemoved` removes the plane from the Map.  If the removed
+ *    plane was the selected one the selection is automatically cleared.
+ *
+ * 5. Resetting
+ *    Call `selectorRef.current.reset()` to deselect the current plane and
+ *    re-show all overlays so the user can pick again.
+ *
+ * ─────────────────────────────────────────────────────────────────────────────
+ * COORDINATE SYSTEM NOTE
+ * ─────────────────────────────────────────────────────────────────────────────
+ * Children are in the selected ViroARPlane's local space:
+ *   - Y axis = plane normal (perpendicular to surface, pointing "up" for
+ *              floors and "outward" for walls).
+ *   - XZ plane = the detected surface.
+ *   - Origin   = ARKit/ARCore anchor transform origin (near the plane
+ *                geometric centre but not necessarily identical to it).
+ *
+ * Typical child positioning:
+ *   `position={[0, 0.5, 0]}`  — 50 cm above / in front of the tap point.
+ *   `position={[0, 0, 0]}`    — exactly at the tap contact point.
  */
 export declare class ViroARPlaneSelector extends React.Component<Props, State> {
-    _component: ViroNativeRef;
     state: State;
-    render(): React.JSX.Element;
-    _getARPlanes(): React.JSX.Element[];
-    _getOnClickSurface: (anchorId: string, event: ViroClickStateEvent) => void;
-    _onARPlaneUpdated: (anchor: any) => void;
-    _onPlaneSelected: (updateMap: ViroPlaneUpdatedMap) => void;
     /**
-     * This function allows the user to reset the surface and select a new plane.
+     * Forward `ViroARScene.onAnchorFound` here.
+     *
+     * Filters by type ("plane"), alignment, size, and `onPlaneDetected`.
+     * Accepted planes are added to the visible overlay set.
+     *
+     * Usage:
+     *   `onAnchorFound={(a) => selectorRef.current?.handleAnchorFound(a)}`
+     */
+    handleAnchorFound: (anchor: ViroAnchor) => void;
+    /**
+     * Forward `ViroARScene.onAnchorUpdated` here.
+     *
+     * Updates the stored anchor data (refined center, extent, and polygon
+     * vertices) for any plane already in the visible set.  Unknown anchors
+     * are silently ignored.
+     *
+     * Usage:
+     *   `onAnchorUpdated={(a) => selectorRef.current?.handleAnchorUpdated(a)}`
+     */
+    handleAnchorUpdated: (anchor: ViroAnchor) => void;
+    /**
+     * Forward `ViroARScene.onAnchorRemoved` here.
+     *
+     * Removes the plane from the visible set.  If the removed plane was
+     * currently selected, the selection is cleared automatically (equivalent
+     * to calling `reset()`), and `onPlaneRemoved` is fired.
+     *
+     * Note: the `onAnchorRemoved` callback on ViroARScene may fire with
+     * `undefined` — guard against that at the call site:
+     *   `onAnchorRemoved={(a) => a && selectorRef.current?.handleAnchorRemoved(a)}`
+     */
+    handleAnchorRemoved: (anchor: ViroAnchor) => void;
+    /**
+     * Clear the current selection and restore all plane overlays so the user
+     * can tap a different plane.
+     *
+     * Also clears the stored tap position so children return to the plane
+     * origin if a new plane is selected before a tap is registered.
+     *
+     * Typical usage:
+     *   ```tsx
+     *   // Let the user re-select after moving to a new room:
+     *   selectorRef.current?.reset();
+     *   ```
      */
     reset: () => void;
+    /**
+     * Convert a world-space position to ViroARPlane's local coordinate space.
+     *
+     * ViroARPlane local origin  = anchor.position  (world-space translation
+     *   extracted from the ARKit/ARCore anchor transform via
+     *   VROMatrix4f::extractTranslation — see VRTARUtils.m).
+     *
+     * ViroARPlane orientation   = anchor.rotation  (Euler angles in degrees,
+     *   extracted via VROMatrix4f::extractRotation().toEuler(), X-Y-Z order
+     *   confirmed from VROMatrix4f::rotate which calls rotateX→rotateY→rotateZ).
+     *
+     * Combined rotation: R = Rx · Ry · Rz
+     * World→local:       local = Rᵀ · (world − anchorPosition)
+     *                    (Rᵀ = R⁻¹ since R is orthogonal)
+     *
+     * The returned Y component represents distance from the plane surface.
+     * Callers should clamp it to 0 to keep children on the surface.
+     */
+    _worldToLocal: (world: [number, number, number], anchorPosition: [number, number, number], rotationDeg: [number, number, number]) => [number, number, number];
+    _passesAlignmentFilter: (anchor: ViroAnchor) => boolean;
+    render(): React.JSX.Element;
+    _renderPlanes(): React.JSX.Element[];
 }
 export {};
diff --git a/dist/components/AR/ViroARPlaneSelector.js b/dist/components/AR/ViroARPlaneSelector.js
index 0778177b..9004c4c2 100644
--- a/dist/components/AR/ViroARPlaneSelector.js
+++ b/dist/components/AR/ViroARPlaneSelector.js
@@ -50,179 +50,302 @@ const ViroNode_1 = require("../ViroNode");
 const ViroQuad_1 = require("../ViroQuad");
 const ViroPolygon_1 = require("../ViroPolygon");
 const ViroARPlane_1 = require("./ViroARPlane");
-var _planePrefix = "ViroARPlaneSelector_Plane_";
 /**
- * This component wraps the logic required to enable user selection
- * of an AR plane. This currently only allows for 1 plane to be selected,
- * but could easily be modified to allow for more planes.
+ * ViroARPlaneSelector
+ *
+ * Detects AR planes reported by ARKit (iOS) or ARCore (Android), renders a
+ * tappable overlay on each one, and places your content on the plane the user
+ * selects — at the exact point they tapped.
+ *
+ * ─────────────────────────────────────────────────────────────────────────────
+ * REQUIRED WIRING  (breaking change from the original component)
+ * ─────────────────────────────────────────────────────────────────────────────
+ * The component no longer self-discovers planes.  You must forward the
+ * parent ViroARScene's anchor events to it via a ref:
+ *
+ *   ```tsx
+ *   const selectorRef = useRef<ViroARPlaneSelector>(null);
+ *
+ *   <ViroARScene
+ *     anchorDetectionTypes={["PlanesHorizontal", "PlanesVertical"]}
+ *     onAnchorFound={(a)   => selectorRef.current?.handleAnchorFound(a)}
+ *     onAnchorUpdated={(a) => selectorRef.current?.handleAnchorUpdated(a)}
+ *     onAnchorRemoved={(a) => a && selectorRef.current?.handleAnchorRemoved(a)}
+ *   >
+ *     <ViroARPlaneSelector
+ *       ref={selectorRef}
+ *       alignment="Both"
+ *       onPlaneSelected={(plane, tapPos) => console.log("selected", plane, tapPos)}
+ *     >
+ *       <Viro3DObject source={...} position={[0, 0.5, 0]} type="GLB" />
+ *     </ViroARPlaneSelector>
+ *   </ViroARScene>
+ *   ```
+ *
+ * ─────────────────────────────────────────────────────────────────────────────
+ * BEHAVIOUR
+ * ─────────────────────────────────────────────────────────────────────────────
+ * 1. Plane discovery
+ *    `handleAnchorFound` is called for every new ARKit/ARCore plane anchor.
+ *    Planes are filtered by `alignment`, `minWidth`, `minHeight`, and the
+ *    optional `onPlaneDetected` callback.  Accepted planes are stored in an
+ *    internal Map keyed by their ARKit/ARCore anchor ID — no pre-allocated
+ *    slots, no index-mapping artefacts.
+ *
+ * 2. Plane visualisation
+ *    Each accepted plane gets one overlay rendered as a child of
+ *    `ViroARPlane anchorId={id}` so it is always locked to the correct
+ *    real-world surface.  The overlay is:
+ *      - A `ViroPolygon` matching ARKit's actual boundary vertices when
+ *        `useActualShape` is true (default) and vertices are available.
+ *      - A `ViroQuad` (bounding rectangle) otherwise.
+ *    All overlays are visible until one is selected; then the others hide.
+ *
+ * 3. Selection & tap-position placement
+ *    When the user taps an overlay the world-space intersection point is
+ *    converted to the plane's local coordinate space using the full
+ *    inverse rotation (R = Rx·Ry·Rz, X-Y-Z Euler order from VROMatrix4f).
+ *    Children are wrapped in a `ViroNode` positioned at that local point
+ *    (Y=0 = on the surface), so objects appear exactly where you touched —
+ *    not at the plane's geometric centre.
+ *
+ * 4. Plane removal
+ *    `handleAnchorRemoved` removes the plane from the Map.  If the removed
+ *    plane was the selected one the selection is automatically cleared.
+ *
+ * 5. Resetting
+ *    Call `selectorRef.current.reset()` to deselect the current plane and
+ *    re-show all overlays so the user can pick again.
+ *
+ * ─────────────────────────────────────────────────────────────────────────────
+ * COORDINATE SYSTEM NOTE
+ * ─────────────────────────────────────────────────────────────────────────────
+ * Children are in the selected ViroARPlane's local space:
+ *   - Y axis = plane normal (perpendicular to surface, pointing "up" for
+ *              floors and "outward" for walls).
+ *   - XZ plane = the detected surface.
+ *   - Origin   = ARKit/ARCore anchor transform origin (near the plane
+ *                geometric centre but not necessarily identical to it).
+ *
+ * Typical child positioning:
+ *   `position={[0, 0.5, 0]}`  — 50 cm above / in front of the tap point.
+ *   `position={[0, 0, 0]}`    — exactly at the tap contact point.
  */
 class ViroARPlaneSelector extends React.Component {
-    _component = null;
     state = {
         selectedPlaneId: null,
-        foundARPlanes: new Map(),
+        tapLocalPosition: null,
+        planes: new Map(),
     };
-    render() {
-        // Uncomment this line to check for misnamed props
-        //checkMisnamedProps("ViroARPlaneSelector", this.props);
-        return <ViroNode_1.ViroNode>{this._getARPlanes()}</ViroNode_1.ViroNode>;
-    }
-    _getARPlanes() {
-        const arPlanes = [];
-        const detectBothAlignments = this.props.alignment === "Both" || !this.props.alignment;
-        // Determine which alignments to detect
-        const alignmentsToDetect = [];
-        if (detectBothAlignments) {
-            alignmentsToDetect.push("Horizontal", "Vertical");
-        }
-        else if (this.props.alignment) {
-            // Type assertion safe here because we know it's not "Both" due to detectBothAlignments check
-            alignmentsToDetect.push(this.props.alignment);
-        }
-        // Create detector ViroARPlane components for each alignment type
-        // These don't have anchorId set initially, but will discover and track planes
-        // We add visual children based on detected plane data
-        const detectorsPerAlignment = 25; // 25 detectors per alignment type
-        alignmentsToDetect.forEach((alignment) => {
-            for (let i = 0; i < detectorsPerAlignment; i++) {
-                const detectorKey = `${_planePrefix}detector_${alignment}_${i}`;
-                // Check if this detector has discovered a plane
-                // We'll match by checking if any plane in foundARPlanes has this alignment
-                // and hasn't been assigned to a previous detector
-                // Note: ARCore returns "HorizontalUpward", "HorizontalDownward", etc.
-                // so we need to check if alignment starts with the requested type
-                const detectedPlanes = Array.from(this.state.foundARPlanes.entries()).filter(([_id, plane]) => {
-                    if (alignment === "Horizontal") {
-                        return plane.alignment.includes("Horizontal");
-                    }
-                    else if (alignment === "Vertical") {
-                        return plane.alignment.includes("Vertical");
-                    }
-                    return plane.alignment === alignment;
-                });
-                const planeData = detectedPlanes[i]?.[1];
-                const anchorId = detectedPlanes[i]?.[0];
-                const hasPlaneData = !!planeData;
-                // Extract visual rendering data if plane detected
-                let visualElement = null;
-                if (hasPlaneData) {
-                    const isSelected = this.state.selectedPlaneId === anchorId;
-                    const surfaceWidth = planeData.width || 0.5;
-                    const surfaceHeight = planeData.height || 0.5;
-                    const vertices3D = planeData.vertices;
-                    // Convert 3D vertices to 2D based on plane alignment
-                    // ViroARPlane provides vertices in the plane's LOCAL coordinate system
-                    // where the plane is always in the XZ plane. The anchor handles world orientation.
-                    // Always extract [x, z] since vertices are in the plane's local XZ plane
-                    const vertices2D = vertices3D && vertices3D.length >= 3
-                        ? vertices3D.map(([x, _y, z]) => [
-                            x,
-                            z,
-                        ])
-                        : undefined;
-                    // Rotation for ViroPolygon:
-                    // ViroPolygon renders in XY plane by default, vertices are provided in XZ
-                    // Need to rotate to map XZ plane to XY rendering plane
-                    const polygonRotation = [-90, 0, 0];
-                    const isVisible = this.state.selectedPlaneId === null || isSelected;
-                    // Use actual plane shapes (ViroPolygon with vertices)
-                    const forceQuadForAndroid = false; // Now using actual shapes on Android
-                    const useActualShape = !forceQuadForAndroid &&
-                        this.props.useActualShape !== false &&
-                        vertices2D &&
-                        vertices2D.length >= 3;
-                    const finalOpacity = isSelected ? 0 : isVisible ? 1 : 0;
-                    visualElement = useActualShape ? (<ViroPolygon_1.ViroPolygon key={`polygon-${anchorId}`} vertices={vertices2D} holes={[]} materials={["ViroARPlaneSelector_Translucent"]} {...(!this.props.disableClickSelection && {
-                        onClickState: (clickState, position, source) => this._getOnClickSurface(anchorId, {
-                            clickState,
-                            position,
-                            source,
-                        }),
-                    })} position={[0, 0, 0]} rotation={polygonRotation} opacity={finalOpacity}/>) : (<ViroQuad_1.ViroQuad key={`quad-${anchorId}`} materials={["ViroARPlaneSelector_Translucent"]} {...(!this.props.disableClickSelection && {
-                        onClickState: (clickState, position, source) => this._getOnClickSurface(anchorId, {
-                            clickState,
-                            position,
-                            source,
-                        }),
-                    })} position={[0, 0, 0]} width={surfaceWidth} height={surfaceHeight} rotation={polygonRotation} opacity={finalOpacity}/>);
-                }
-                arPlanes.push(<ViroARPlane_1.ViroARPlane key={detectorKey} minWidth={this.props.minWidth || 0} minHeight={this.props.minHeight || 0} alignment={alignment} anchorId={hasPlaneData ? anchorId : undefined} onAnchorFound={(anchor) => {
-                        this._onARPlaneUpdated(anchor);
-                    }} onAnchorUpdated={(anchor) => {
-                        this._onARPlaneUpdated(anchor);
-                    }}>
-            {visualElement}
-            {hasPlaneData && this.props.children && (<ViroNode_1.ViroNode opacity={this.state.selectedPlaneId === anchorId ? 1 : 0}>
-                {this.props.children}
-              </ViroNode_1.ViroNode>)}
-          </ViroARPlane_1.ViroARPlane>);
-            }
-        });
-        return arPlanes;
-    }
-    _getOnClickSurface = (anchorId, event) => {
-        if (event.clickState < 3) {
+    // ---------------------------------------------------------------------------
+    // Public API — forward ViroARScene anchor events to these via ref
+    // ---------------------------------------------------------------------------
+    /**
+     * Forward `ViroARScene.onAnchorFound` here.
+     *
+     * Filters by type ("plane"), alignment, size, and `onPlaneDetected`.
+     * Accepted planes are added to the visible overlay set.
+     *
+     * Usage:
+     *   `onAnchorFound={(a) => selectorRef.current?.handleAnchorFound(a)}`
+     */
+    handleAnchorFound = (anchor) => {
+        if (anchor.type !== "plane")
             return;
-        }
-        // Get the plane data before updating state to avoid race conditions
-        const selectedPlane = this.state.foundARPlanes.get(anchorId);
-        if (!selectedPlane) {
-            console.warn("ViroARPlaneSelector: Cannot select plane - plane data not found");
+        if (!this._passesAlignmentFilter(anchor))
             return;
+        if (this.props.onPlaneDetected) {
+            const accepted = this.props.onPlaneDetected(anchor);
+            if (accepted === false)
+                return;
         }
-        // Update state and call callback with the captured data
-        this.setState({ selectedPlaneId: anchorId }, () => {
-            this._onPlaneSelected(selectedPlane);
+        this.setState((prev) => {
+            const next = new Map(prev.planes);
+            next.set(anchor.anchorId, anchor);
+            return { planes: next };
         });
     };
-    _onARPlaneUpdated = (anchor) => {
-        if (!anchor.anchorId) {
-            console.warn("ViroARPlaneSelector: Anchor missing anchorId");
+    /**
+     * Forward `ViroARScene.onAnchorUpdated` here.
+     *
+     * Updates the stored anchor data (refined center, extent, and polygon
+     * vertices) for any plane already in the visible set.  Unknown anchors
+     * are silently ignored.
+     *
+     * Usage:
+     *   `onAnchorUpdated={(a) => selectorRef.current?.handleAnchorUpdated(a)}`
+     */
+    handleAnchorUpdated = (anchor) => {
+        if (anchor.type !== "plane")
             return;
-        }
-        const updateMap = {
-            anchorId: anchor.anchorId,
-            type: anchor.type || "plane",
-            position: anchor.position,
-            rotation: anchor.rotation,
-            scale: anchor.scale,
-            center: anchor.center,
-            width: anchor.width,
-            height: anchor.height,
-            alignment: anchor.alignment,
-            classification: anchor.classification,
-            vertices: anchor.vertices,
-        };
-        // Update or add plane in Map
-        this.setState((prevState) => {
-            const newPlanes = new Map(prevState.foundARPlanes);
-            newPlanes.set(anchor.anchorId, updateMap);
-            return { foundARPlanes: newPlanes };
+        this.setState((prev) => {
+            if (!prev.planes.has(anchor.anchorId))
+                return null;
+            const next = new Map(prev.planes);
+            next.set(anchor.anchorId, anchor);
+            return { planes: next };
         });
-        // Call validation callback if provided
-        if (this.props.onPlaneDetected) {
-            this.props.onPlaneDetected(updateMap);
-        }
     };
-    _onPlaneSelected = (updateMap) => {
-        this.props.onPlaneSelected && this.props.onPlaneSelected(updateMap);
+    /**
+     * Forward `ViroARScene.onAnchorRemoved` here.
+     *
+     * Removes the plane from the visible set.  If the removed plane was
+     * currently selected, the selection is cleared automatically (equivalent
+     * to calling `reset()`), and `onPlaneRemoved` is fired.
+     *
+     * Note: the `onAnchorRemoved` callback on ViroARScene may fire with
+     * `undefined` — guard against that at the call site:
+     *   `onAnchorRemoved={(a) => a && selectorRef.current?.handleAnchorRemoved(a)}`
+     */
+    handleAnchorRemoved = (anchor) => {
+        if (!anchor?.anchorId)
+            return;
+        const { anchorId } = anchor;
+        this.setState((prev) => {
+            if (!prev.planes.has(anchorId))
+                return null;
+            const next = new Map(prev.planes);
+            next.delete(anchorId);
+            return {
+                planes: next,
+                selectedPlaneId: prev.selectedPlaneId === anchorId ? null : prev.selectedPlaneId,
+            };
+        });
+        this.props.onPlaneRemoved?.(anchorId);
     };
     /**
-     * This function allows the user to reset the surface and select a new plane.
+     * Clear the current selection and restore all plane overlays so the user
+     * can tap a different plane.
+     *
+     * Also clears the stored tap position so children return to the plane
+     * origin if a new plane is selected before a tap is registered.
+     *
+     * Typical usage:
+     *   ```tsx
+     *   // Let the user re-select after moving to a new room:
+     *   selectorRef.current?.reset();
+     *   ```
      */
     reset = () => {
-        this.setState({
-            selectedPlaneId: null,
-        });
+        this.setState({ selectedPlaneId: null, tapLocalPosition: null });
+    };
+    // ---------------------------------------------------------------------------
+    // World → plane-local coordinate conversion
+    // ---------------------------------------------------------------------------
+    /**
+     * Convert a world-space position to ViroARPlane's local coordinate space.
+     *
+     * ViroARPlane local origin  = anchor.position  (world-space translation
+     *   extracted from the ARKit/ARCore anchor transform via
+     *   VROMatrix4f::extractTranslation — see VRTARUtils.m).
+     *
+     * ViroARPlane orientation   = anchor.rotation  (Euler angles in degrees,
+     *   extracted via VROMatrix4f::extractRotation().toEuler(), X-Y-Z order
+     *   confirmed from VROMatrix4f::rotate which calls rotateX→rotateY→rotateZ).
+     *
+     * Combined rotation: R = Rx · Ry · Rz
+     * World→local:       local = Rᵀ · (world − anchorPosition)
+     *                    (Rᵀ = R⁻¹ since R is orthogonal)
+     *
+     * The returned Y component represents distance from the plane surface.
+     * Callers should clamp it to 0 to keep children on the surface.
+     */
+    _worldToLocal = (world, anchorPosition, rotationDeg) => {
+        const toRad = Math.PI / 180;
+        const c1 = Math.cos(rotationDeg[0] * toRad), s1 = Math.sin(rotationDeg[0] * toRad); // rx
+        const c2 = Math.cos(rotationDeg[1] * toRad), s2 = Math.sin(rotationDeg[1] * toRad); // ry
+        const c3 = Math.cos(rotationDeg[2] * toRad), s3 = Math.sin(rotationDeg[2] * toRad); // rz
+        const dx = world[0] - anchorPosition[0];
+        const dy = world[1] - anchorPosition[1];
+        const dz = world[2] - anchorPosition[2];
+        // Rᵀ of (Rx·Ry·Rz) applied to [dx, dy, dz]:
+        return [
+            c2 * c3 * dx + (s1 * s2 * c3 + c1 * s3) * dy + (-c1 * s2 * c3 + s1 * s3) * dz,
+            -c2 * s3 * dx + (-s1 * s2 * s3 + c1 * c3) * dy + (c1 * s2 * s3 + s1 * c3) * dz,
+            s2 * dx + (-s1 * c2) * dy + c1 * c2 * dz,
+        ];
     };
+    // ---------------------------------------------------------------------------
+    // Private helpers
+    // ---------------------------------------------------------------------------
+    _passesAlignmentFilter = (anchor) => {
+        const { alignment } = this.props;
+        if (!alignment || alignment === "Both")
+            return true;
+        if (!anchor.alignment)
+            return false;
+        if (alignment === "Horizontal")
+            return anchor.alignment.includes("Horizontal");
+        if (alignment === "Vertical")
+            return anchor.alignment.includes("Vertical");
+        return anchor.alignment === alignment;
+    };
+    // ---------------------------------------------------------------------------
+    // Render
+    // ---------------------------------------------------------------------------
+    render() {
+        return <ViroNode_1.ViroNode>{this._renderPlanes()}</ViroNode_1.ViroNode>;
+    }
+    _renderPlanes() {
+        const { selectedPlaneId, planes } = this.state;
+        const materialName = this.props.material ?? "ViroARPlaneSelector_Translucent";
+        const elements = [];
+        planes.forEach((anchor, anchorId) => {
+            const isSelected = selectedPlaneId === anchorId;
+            // hideOverlayOnSelection defaults to true: hide the overlay once a plane
+            // is selected (only children remain visible). Set to false to keep the
+            // selected plane's overlay visible after selection.
+            const hideOnSelection = this.props.hideOverlayOnSelection !== false;
+            const surfaceOpacity = selectedPlaneId === null ? 1 : // no selection → all visible
+                isSelected && !hideOnSelection ? 1 : // selected, overlay kept
+                    0; // selected+hide or unselected → hide
+            const vertices3D = anchor.vertices;
+            const vertices2D = vertices3D && vertices3D.length >= 3
+                ? vertices3D.map(([x, _y, z]) => [
+                    x,
+                    z,
+                ])
+                : undefined;
+            // ViroPolygon renders in XY; vertices are in XZ — rotate to align.
+            const polygonRotation = [-90, 0, 0];
+            const useActualShape = this.props.useActualShape !== false &&
+                vertices2D !== undefined &&
+                vertices2D.length >= 3;
+            // Click handler — only attached when click selection is enabled.
+            const clickHandlerProps = this.props.disableClickSelection
+                ? {}
+                : {
+                    onClickState: (clickState, tapWorld) => {
+                        // clickState 3 = CLICKED (click down + up on same target)
+                        if (clickState === 3) {
+                            const plane = this.state.planes.get(anchorId);
+                            if (plane) {
+                                // Convert world-space tap → plane-local, clamped to surface (Y=0).
+                                const local = this._worldToLocal(tapWorld, plane.position, plane.rotation);
+                                const tapLocal = [local[0], 0, local[2]];
+                                this.setState({ selectedPlaneId: anchorId, tapLocalPosition: tapLocal }, () => this.props.onPlaneSelected?.(plane, tapWorld));
+                            }
+                        }
+                    },
+                };
+            const visual = useActualShape ? (<ViroPolygon_1.ViroPolygon key={`poly-${anchorId}`} vertices={vertices2D} holes={[]} materials={[materialName]} {...clickHandlerProps} position={[0, 0, 0]} rotation={polygonRotation} opacity={surfaceOpacity}/>) : (<ViroQuad_1.ViroQuad key={`quad-${anchorId}`} materials={[materialName]} {...clickHandlerProps} position={[0, 0, 0]} width={anchor.width ?? 0.5} height={anchor.height ?? 0.5} rotation={polygonRotation} opacity={surfaceOpacity}/>);
+            elements.push(<ViroARPlane_1.ViroARPlane key={anchorId} anchorId={anchorId} minWidth={this.props.minWidth ?? 0} minHeight={this.props.minHeight ?? 0} onAnchorUpdated={(a) => this.handleAnchorUpdated(a)}>
+          {visual}
+          {isSelected && this.props.children != null && (<ViroNode_1.ViroNode position={this.state.tapLocalPosition ?? [0, 0, 0]}>
+              {this.props.children}
+            </ViroNode_1.ViroNode>)}
+        </ViroARPlane_1.ViroARPlane>);
+        });
+        return elements;
+    }
 }
 exports.ViroARPlaneSelector = ViroARPlaneSelector;
 ViroMaterials_1.ViroMaterials.createMaterials({
     ViroARPlaneSelector_Translucent: {
         lightingModel: "Constant",
-        diffuseColor: "rgba(0, 122, 255, 0.5)", // Bright blue with 50% opacity for better visibility
+        diffuseColor: "rgba(0, 122, 255, 0.5)",
         blendMode: "Alpha",
-        cullMode: "None", // Render both sides for better Android compatibility
+        cullMode: "None",
         writesToDepthBuffer: false,
     },
 });
diff --git a/dist/components/AR/ViroARScene.js b/dist/components/AR/ViroARScene.js
index b3c853a0..4335974c 100644
--- a/dist/components/AR/ViroARScene.js
+++ b/dist/components/AR/ViroARScene.js
@@ -288,7 +288,7 @@ class ViroARScene extends ViroBase_1.ViroBase {
         // Since anchorDetectionTypes can be either a string or an array, convert the string to a 1-element array.
         let anchorDetectionTypes = typeof this.props.anchorDetectionTypes === "string"
             ? new Array(this.props.anchorDetectionTypes)
-            : this.props.anchorDetectionTypes;
+            : this.props.anchorDetectionTypes ?? ["planesHorizontal", "planesVertical"];
         let timeToFuse = undefined;
         if (this.props.onFuse != undefined &&
             typeof this.props.onFuse === "object") {
diff --git a/dist/components/AR/ViroARSceneNavigator.d.ts b/dist/components/AR/ViroARSceneNavigator.d.ts
index 1434a8e1..f035a4eb 100644
--- a/dist/components/AR/ViroARSceneNavigator.d.ts
+++ b/dist/components/AR/ViroARSceneNavigator.d.ts
@@ -11,7 +11,7 @@
  */
 import * as React from "react";
 import { ViewProps } from "react-native";
-import { ViroWorldOrigin, ViroCloudAnchorProvider, ViroCloudAnchorStateChangeEvent, ViroHostCloudAnchorResult, ViroResolveCloudAnchorResult, ViroGeospatialAnchorProvider, ViroGeospatialSupportResult, ViroEarthTrackingStateResult, ViroGeospatialPoseResult, ViroVPSAvailabilityResult, ViroCreateGeospatialAnchorResult, ViroQuaternion, ViroSemanticSupportResult, ViroSemanticLabelFractionsResult, ViroSemanticLabelFractionResult, ViroSemanticLabel, ViroMonocularDepthPreferenceResult, ViroDepthOcclusionSupportResult, ViroGeospatialSetupStatusResult } from "../Types/ViroEvents";
+import { ViroWorldOrigin, ViroProvider, ViroCloudAnchorStateChangeEvent, ViroHostCloudAnchorResult, ViroResolveCloudAnchorResult, ViroGeospatialSupportResult, ViroEarthTrackingStateResult, ViroGeospatialPoseResult, ViroVPSAvailabilityResult, ViroCreateGeospatialAnchorResult, ViroQuaternion, ViroSemanticSupportResult, ViroSemanticLabelFractionsResult, ViroSemanticLabelFractionResult, ViroSemanticLabel, ViroMonocularDepthPreferenceResult, ViroDepthOcclusionSupportResult, ViroGeospatialSetupStatusResult } from "../Types/ViroEvents";
 import { Viro3DPoint, ViroNativeRef, ViroScene, ViroSceneDictionary } from "../Types/ViroUtils";
 import { ViroWorldMeshConfig, ViroWorldMeshStats } from "../Types/ViroWorldMesh";
 /**
@@ -54,6 +54,19 @@ type Props = ViewProps & {
      * @default "disabled"
      */
     occlusionMode?: ViroOcclusionMode;
+    /**
+     * Enables depth sensing without activating occlusion rendering.
+     * Virtual objects will NOT be occluded by real-world surfaces, but depth data
+     * will be available for hit tests (DepthPoint type) and distance measurement.
+     *
+     * If occlusionMode="depthBased" is also set, occlusionMode takes precedence.
+     *
+     * Android: requires ARCore Depth API support (ARCore 1.18+).
+     * iOS: uses LiDAR on supported devices, monocular depth estimator as fallback.
+     *
+     * @default false
+     */
+    depthEnabled?: boolean;
     /**
      * [Debug] Enable depth debug visualization to see how the depth texture is being sampled.
      * When enabled, the camera background will show a color overlay representing depth values:
@@ -89,28 +102,22 @@ type Props = ViewProps & {
      */
     preferMonocularDepth?: boolean;
     /**
-     * Enable cloud anchors for cross-platform anchor sharing.
-     * When set to 'arcore', the ARCore Cloud Anchors SDK will be used.
-     * Requires a valid Google Cloud API key configured in the native project.
+     * Cloud and geospatial anchor provider.
+     * Set to `"reactvision"` (default) for the ReactVision backend,
+     * `"arcore"` for Google Cloud Anchors, or `"none"` to disable.
+     *
+     * Replaces the old `cloudAnchorProvider` / `geospatialAnchorProvider` props,
+     * which are now deprecated. Both providers are set to the same value.
      *
-     * @default "none"
+     * @default "reactvision"
      * @platform ios,android
      */
-    cloudAnchorProvider?: ViroCloudAnchorProvider;
+    provider?: ViroProvider;
     /**
      * Callback fired when a cloud anchor state changes.
      * This includes progress updates during hosting/resolving operations.
      */
     onCloudAnchorStateChange?: (event: ViroCloudAnchorStateChangeEvent) => void;
-    /**
-     * Enable the ARCore Geospatial API for location-based AR experiences.
-     * When set to 'arcore', the ARCore Geospatial SDK will be used.
-     * Requires a valid Google Cloud API key configured in the native project.
-     *
-     * @default "none"
-     * @platform ios,android
-     */
-    geospatialAnchorProvider?: ViroGeospatialAnchorProvider;
     /**
      * Enable world mesh for physics collision with real-world surfaces.
      * When enabled, virtual physics objects will collide with detected
@@ -423,6 +430,58 @@ export declare class ViroARSceneNavigator extends React.Component<Props, State>
      * @param anchorId - The ID of the anchor to remove
      */
     _removeGeospatialAnchor: (anchorId: string) => void;
+    /**
+     * ReactVision — save GPS coordinates to the backend and return a cross-device shareable UUID.
+     * Does NOT create a local AR anchor — call createGeospatialAnchor separately for AR placement.
+     *
+     * @param latitude     WGS84 latitude
+     * @param longitude    WGS84 longitude
+     * @param altitude     Altitude in metres
+     * @param altitudeMode "street_level" (default) or "rooftop_level"
+     * @returns Promise resolving to { success, anchorId } where anchorId is the platform UUID
+     */
+    _hostGeospatialAnchor: (latitude: number, longitude: number, altitude: number, altitudeMode?: string) => Promise<any>;
+    /**
+     * ReactVision — fetch GPS coordinates from the backend by platform UUID and create a local AR anchor.
+     * Combines rvGetGeospatialAnchor + createGeospatialAnchor into a single call.
+     *
+     * @param platformUuid UUID returned by hostGeospatialAnchor
+     * @param quaternion   Orientation [x, y, z, w] (default identity)
+     * @returns Promise resolving to { success, anchor: { anchorId, latitude, longitude, altitude } }
+     */
+    _resolveGeospatialAnchor: (platformUuid: string, quaternion?: ViroQuaternion) => Promise<any>;
+    /**
+     * ReactVision — fetch a geospatial anchor record by UUID.
+     * Returns the anchor with linked scene asset data (position, rotation, scale, fileUrl).
+     */
+    _rvGetGeospatialAnchor: (anchorId: string) => Promise<any>;
+    /**
+     * ReactVision — find geospatial anchors near a GPS location.
+     * @param latitude  Centre latitude
+     * @param longitude Centre longitude
+     * @param radius    Search radius in metres (default 500)
+     * @param limit     Max results (default 50)
+     */
+    _rvFindNearbyGeospatialAnchors: (latitude: number, longitude: number, radius?: number, limit?: number) => Promise<any>;
+    /**
+     * ReactVision — update a geospatial anchor (link scene asset, scene, or rename).
+     * Pass null/empty string to leave a field unchanged.
+     */
+    _rvUpdateGeospatialAnchor: (anchorId: string, sceneAssetId?: string, sceneId?: string, name?: string, userAssetId?: string) => Promise<any>;
+    _rvUploadAsset: (filePath: string, assetType: string, fileName: string, appUserId?: string) => Promise<any>;
+    /**
+     * ReactVision — permanently delete a geospatial anchor from the backend.
+     */
+    _rvDeleteGeospatialAnchor: (anchorId: string) => Promise<any>;
+    _rvListGeospatialAnchors: (limit: number, offset: number) => Promise<any>;
+    _rvGetCloudAnchor: (anchorId: string) => Promise<any>;
+    _rvListCloudAnchors: (limit: number, offset: number) => Promise<any>;
+    _rvUpdateCloudAnchor: (anchorId: string, name: string, description: string, isPublic: boolean) => Promise<any>;
+    _rvDeleteCloudAnchor: (anchorId: string) => Promise<any>;
+    _rvFindNearbyCloudAnchors: (latitude: number, longitude: number, radius: number, limit: number) => Promise<any>;
+    _rvAttachAssetToCloudAnchor: (anchorId: string, fileUrl: string, fileSize: number, name: string, assetType: string, externalUserId: string) => Promise<any>;
+    _rvRemoveAssetFromCloudAnchor: (anchorId: string, assetId: string) => Promise<any>;
+    _rvTrackCloudAnchorResolution: (anchorId: string, success: boolean, confidence: number, matchCount: number, inlierCount: number, processingTimeMs: number, platform: string, externalUserId: string) => Promise<any>;
     /**
      * Check if Scene Semantics mode is supported on this device.
      * Scene Semantics uses ML to classify each pixel in the camera feed
@@ -520,9 +579,25 @@ export declare class ViroARSceneNavigator extends React.Component<Props, State>
         getCameraGeospatialPose: () => Promise<ViroGeospatialPoseResult>;
         checkVPSAvailability: (latitude: number, longitude: number) => Promise<ViroVPSAvailabilityResult>;
         createGeospatialAnchor: (latitude: number, longitude: number, altitude: number, quaternion?: ViroQuaternion) => Promise<ViroCreateGeospatialAnchorResult>;
+        hostGeospatialAnchor: (latitude: number, longitude: number, altitude: number, altitudeMode?: string) => Promise<any>;
+        resolveGeospatialAnchor: (platformUuid: string, quaternion?: ViroQuaternion) => Promise<any>;
         createTerrainAnchor: (latitude: number, longitude: number, altitudeAboveTerrain: number, quaternion?: ViroQuaternion) => Promise<ViroCreateGeospatialAnchorResult>;
         createRooftopAnchor: (latitude: number, longitude: number, altitudeAboveRooftop: number, quaternion?: ViroQuaternion) => Promise<ViroCreateGeospatialAnchorResult>;
         removeGeospatialAnchor: (anchorId: string) => void;
+        rvGetGeospatialAnchor: (anchorId: string) => Promise<any>;
+        rvFindNearbyGeospatialAnchors: (latitude: number, longitude: number, radius?: number, limit?: number) => Promise<any>;
+        rvUpdateGeospatialAnchor: (anchorId: string, sceneAssetId?: string, sceneId?: string, name?: string, userAssetId?: string) => Promise<any>;
+        rvDeleteGeospatialAnchor: (anchorId: string) => Promise<any>;
+        rvListGeospatialAnchors: (limit: number, offset: number) => Promise<any>;
+        rvGetCloudAnchor: (anchorId: string) => Promise<any>;
+        rvListCloudAnchors: (limit: number, offset: number) => Promise<any>;
+        rvUpdateCloudAnchor: (anchorId: string, name: string, description: string, isPublic: boolean) => Promise<any>;
+        rvDeleteCloudAnchor: (anchorId: string) => Promise<any>;
+        rvFindNearbyCloudAnchors: (latitude: number, longitude: number, radius: number, limit: number) => Promise<any>;
+        rvAttachAssetToCloudAnchor: (anchorId: string, fileUrl: string, fileSize: number, name: string, assetType: string, externalUserId: string) => Promise<any>;
+        rvRemoveAssetFromCloudAnchor: (anchorId: string, assetId: string) => Promise<any>;
+        rvTrackCloudAnchorResolution: (anchorId: string, success: boolean, confidence: number, matchCount: number, inlierCount: number, processingTimeMs: number, platform: string, externalUserId: string) => Promise<any>;
+        rvUploadAsset: (filePath: string, assetType: string, fileName: string, appUserId?: string) => Promise<any>;
         isSemanticModeSupported: () => Promise<ViroSemanticSupportResult>;
         setSemanticModeEnabled: (enabled: boolean) => void;
         getSemanticLabelFractions: () => Promise<ViroSemanticLabelFractionsResult>;
@@ -555,9 +630,25 @@ export declare class ViroARSceneNavigator extends React.Component<Props, State>
         getCameraGeospatialPose: () => Promise<ViroGeospatialPoseResult>;
         checkVPSAvailability: (latitude: number, longitude: number) => Promise<ViroVPSAvailabilityResult>;
         createGeospatialAnchor: (latitude: number, longitude: number, altitude: number, quaternion?: ViroQuaternion) => Promise<ViroCreateGeospatialAnchorResult>;
+        hostGeospatialAnchor: (latitude: number, longitude: number, altitude: number, altitudeMode?: string) => Promise<any>;
+        resolveGeospatialAnchor: (platformUuid: string, quaternion?: ViroQuaternion) => Promise<any>;
         createTerrainAnchor: (latitude: number, longitude: number, altitudeAboveTerrain: number, quaternion?: ViroQuaternion) => Promise<ViroCreateGeospatialAnchorResult>;
         createRooftopAnchor: (latitude: number, longitude: number, altitudeAboveRooftop: number, quaternion?: ViroQuaternion) => Promise<ViroCreateGeospatialAnchorResult>;
         removeGeospatialAnchor: (anchorId: string) => void;
+        rvGetGeospatialAnchor: (anchorId: string) => Promise<any>;
+        rvFindNearbyGeospatialAnchors: (latitude: number, longitude: number, radius?: number, limit?: number) => Promise<any>;
+        rvUpdateGeospatialAnchor: (anchorId: string, sceneAssetId?: string, sceneId?: string, name?: string, userAssetId?: string) => Promise<any>;
+        rvDeleteGeospatialAnchor: (anchorId: string) => Promise<any>;
+        rvListGeospatialAnchors: (limit: number, offset: number) => Promise<any>;
+        rvGetCloudAnchor: (anchorId: string) => Promise<any>;
+        rvListCloudAnchors: (limit: number, offset: number) => Promise<any>;
+        rvUpdateCloudAnchor: (anchorId: string, name: string, description: string, isPublic: boolean) => Promise<any>;
+        rvDeleteCloudAnchor: (anchorId: string) => Promise<any>;
+        rvFindNearbyCloudAnchors: (latitude: number, longitude: number, radius: number, limit: number) => Promise<any>;
+        rvAttachAssetToCloudAnchor: (anchorId: string, fileUrl: string, fileSize: number, name: string, assetType: string, externalUserId: string) => Promise<any>;
+        rvRemoveAssetFromCloudAnchor: (anchorId: string, assetId: string) => Promise<any>;
+        rvTrackCloudAnchorResolution: (anchorId: string, success: boolean, confidence: number, matchCount: number, inlierCount: number, processingTimeMs: number, platform: string, externalUserId: string) => Promise<any>;
+        rvUploadAsset: (filePath: string, assetType: string, fileName: string, appUserId?: string) => Promise<any>;
         isSemanticModeSupported: () => Promise<ViroSemanticSupportResult>;
         setSemanticModeEnabled: (enabled: boolean) => void;
         getSemanticLabelFractions: () => Promise<ViroSemanticLabelFractionsResult>;
diff --git a/dist/components/AR/ViroARSceneNavigator.js b/dist/components/AR/ViroARSceneNavigator.js
index 9a659502..a8ad3255 100644
--- a/dist/components/AR/ViroARSceneNavigator.js
+++ b/dist/components/AR/ViroARSceneNavigator.js
@@ -603,6 +603,93 @@ class ViroARSceneNavigator extends React.Component {
     _removeGeospatialAnchor = (anchorId) => {
         ViroARSceneNavigatorModule.removeGeospatialAnchor((0, react_native_1.findNodeHandle)(this), anchorId);
     };
+    /**
+     * ReactVision — save GPS coordinates to the backend and return a cross-device shareable UUID.
+     * Does NOT create a local AR anchor — call createGeospatialAnchor separately for AR placement.
+     *
+     * @param latitude     WGS84 latitude
+     * @param longitude    WGS84 longitude
+     * @param altitude     Altitude in metres
+     * @param altitudeMode "street_level" (default) or "rooftop_level"
+     * @returns Promise resolving to { success, anchorId } where anchorId is the platform UUID
+     */
+    _hostGeospatialAnchor = async (latitude, longitude, altitude, altitudeMode) => {
+        return await ViroARSceneNavigatorModule.hostGeospatialAnchor((0, react_native_1.findNodeHandle)(this), latitude, longitude, altitude, altitudeMode || "street_level");
+    };
+    /**
+     * ReactVision — fetch GPS coordinates from the backend by platform UUID and create a local AR anchor.
+     * Combines rvGetGeospatialAnchor + createGeospatialAnchor into a single call.
+     *
+     * @param platformUuid UUID returned by hostGeospatialAnchor
+     * @param quaternion   Orientation [x, y, z, w] (default identity)
+     * @returns Promise resolving to { success, anchor: { anchorId, latitude, longitude, altitude } }
+     */
+    _resolveGeospatialAnchor = async (platformUuid, quaternion) => {
+        return await ViroARSceneNavigatorModule.resolveGeospatialAnchor((0, react_native_1.findNodeHandle)(this), platformUuid, quaternion || [0, 0, 0, 1]);
+    };
+    /**
+     * ReactVision — fetch a geospatial anchor record by UUID.
+     * Returns the anchor with linked scene asset data (position, rotation, scale, fileUrl).
+     */
+    _rvGetGeospatialAnchor = async (anchorId) => {
+        return await ViroARSceneNavigatorModule.rvGetGeospatialAnchor((0, react_native_1.findNodeHandle)(this), anchorId);
+    };
+    /**
+     * ReactVision — find geospatial anchors near a GPS location.
+     * @param latitude  Centre latitude
+     * @param longitude Centre longitude
+     * @param radius    Search radius in metres (default 500)
+     * @param limit     Max results (default 50)
+     */
+    _rvFindNearbyGeospatialAnchors = async (latitude, longitude, radius = 500, limit = 50) => {
+        return await ViroARSceneNavigatorModule.rvFindNearbyGeospatialAnchors((0, react_native_1.findNodeHandle)(this), latitude, longitude, radius, limit);
+    };
+    /**
+     * ReactVision — update a geospatial anchor (link scene asset, scene, or rename).
+     * Pass null/empty string to leave a field unchanged.
+     */
+    _rvUpdateGeospatialAnchor = async (anchorId, sceneAssetId, sceneId, name, userAssetId) => {
+        return await ViroARSceneNavigatorModule.rvUpdateGeospatialAnchor((0, react_native_1.findNodeHandle)(this), anchorId, sceneAssetId ?? "", sceneId ?? "", name ?? "", userAssetId ?? "");
+    };
+    _rvUploadAsset = async (filePath, assetType, fileName, appUserId) => {
+        return await ViroARSceneNavigatorModule.rvUploadAsset((0, react_native_1.findNodeHandle)(this), filePath, assetType, fileName, appUserId ?? "");
+    };
+    /**
+     * ReactVision — permanently delete a geospatial anchor from the backend.
+     */
+    _rvDeleteGeospatialAnchor = async (anchorId) => {
+        return await ViroARSceneNavigatorModule.rvDeleteGeospatialAnchor((0, react_native_1.findNodeHandle)(this), anchorId);
+    };
+    _rvListGeospatialAnchors = async (limit, offset) => {
+        return await ViroARSceneNavigatorModule.rvListGeospatialAnchors((0, react_native_1.findNodeHandle)(this), limit, offset);
+    };
+    // ===========================================================================
+    // Cloud Anchor Management API Methods
+    // ===========================================================================
+    _rvGetCloudAnchor = async (anchorId) => {
+        return await ViroARSceneNavigatorModule.rvGetCloudAnchor((0, react_native_1.findNodeHandle)(this), anchorId);
+    };
+    _rvListCloudAnchors = async (limit, offset) => {
+        return await ViroARSceneNavigatorModule.rvListCloudAnchors((0, react_native_1.findNodeHandle)(this), limit, offset);
+    };
+    _rvUpdateCloudAnchor = async (anchorId, name, description, isPublic) => {
+        return await ViroARSceneNavigatorModule.rvUpdateCloudAnchor((0, react_native_1.findNodeHandle)(this), anchorId, name, description, isPublic);
+    };
+    _rvDeleteCloudAnchor = async (anchorId) => {
+        return await ViroARSceneNavigatorModule.rvDeleteCloudAnchor((0, react_native_1.findNodeHandle)(this), anchorId);
+    };
+    _rvFindNearbyCloudAnchors = async (latitude, longitude, radius, limit) => {
+        return await ViroARSceneNavigatorModule.rvFindNearbyCloudAnchors((0, react_native_1.findNodeHandle)(this), latitude, longitude, radius, limit);
+    };
+    _rvAttachAssetToCloudAnchor = async (anchorId, fileUrl, fileSize, name, assetType, externalUserId) => {
+        return await ViroARSceneNavigatorModule.rvAttachAssetToCloudAnchor((0, react_native_1.findNodeHandle)(this), anchorId, fileUrl, fileSize, name, assetType, externalUserId);
+    };
+    _rvRemoveAssetFromCloudAnchor = async (anchorId, assetId) => {
+        return await ViroARSceneNavigatorModule.rvRemoveAssetFromCloudAnchor((0, react_native_1.findNodeHandle)(this), anchorId, assetId);
+    };
+    _rvTrackCloudAnchorResolution = async (anchorId, success, confidence, matchCount, inlierCount, processingTimeMs, platform, externalUserId) => {
+        return await ViroARSceneNavigatorModule.rvTrackCloudAnchorResolution((0, react_native_1.findNodeHandle)(this), anchorId, success, confidence, matchCount, inlierCount, processingTimeMs, platform, externalUserId);
+    };
     // ===========================================================================
     // Scene Semantics API Methods
     // ===========================================================================
@@ -794,9 +881,28 @@ class ViroARSceneNavigator extends React.Component {
         getCameraGeospatialPose: this._getCameraGeospatialPose,
         checkVPSAvailability: this._checkVPSAvailability,
         createGeospatialAnchor: this._createGeospatialAnchor,
+        hostGeospatialAnchor: this._hostGeospatialAnchor,
+        resolveGeospatialAnchor: this._resolveGeospatialAnchor,
         createTerrainAnchor: this._createTerrainAnchor,
         createRooftopAnchor: this._createRooftopAnchor,
         removeGeospatialAnchor: this._removeGeospatialAnchor,
+        // ReactVision Geospatial CRUD
+        rvGetGeospatialAnchor: this._rvGetGeospatialAnchor,
+        rvFindNearbyGeospatialAnchors: this._rvFindNearbyGeospatialAnchors,
+        rvUpdateGeospatialAnchor: this._rvUpdateGeospatialAnchor,
+        rvDeleteGeospatialAnchor: this._rvDeleteGeospatialAnchor,
+        rvListGeospatialAnchors: this._rvListGeospatialAnchors,
+        // ReactVision Cloud Anchor Management
+        rvGetCloudAnchor: this._rvGetCloudAnchor,
+        rvListCloudAnchors: this._rvListCloudAnchors,
+        rvUpdateCloudAnchor: this._rvUpdateCloudAnchor,
+        rvDeleteCloudAnchor: this._rvDeleteCloudAnchor,
+        rvFindNearbyCloudAnchors: this._rvFindNearbyCloudAnchors,
+        rvAttachAssetToCloudAnchor: this._rvAttachAssetToCloudAnchor,
+        rvRemoveAssetFromCloudAnchor: this._rvRemoveAssetFromCloudAnchor,
+        rvTrackCloudAnchorResolution: this._rvTrackCloudAnchorResolution,
+        // Assets API
+        rvUploadAsset: this._rvUploadAsset,
         // Scene Semantics API
         isSemanticModeSupported: this._isSemanticModeSupported,
         setSemanticModeEnabled: this._setSemanticModeEnabled,
@@ -833,9 +939,28 @@ class ViroARSceneNavigator extends React.Component {
         getCameraGeospatialPose: this._getCameraGeospatialPose,
         checkVPSAvailability: this._checkVPSAvailability,
         createGeospatialAnchor: this._createGeospatialAnchor,
+        hostGeospatialAnchor: this._hostGeospatialAnchor,
+        resolveGeospatialAnchor: this._resolveGeospatialAnchor,
         createTerrainAnchor: this._createTerrainAnchor,
         createRooftopAnchor: this._createRooftopAnchor,
         removeGeospatialAnchor: this._removeGeospatialAnchor,
+        // ReactVision Geospatial CRUD
+        rvGetGeospatialAnchor: this._rvGetGeospatialAnchor,
+        rvFindNearbyGeospatialAnchors: this._rvFindNearbyGeospatialAnchors,
+        rvUpdateGeospatialAnchor: this._rvUpdateGeospatialAnchor,
+        rvDeleteGeospatialAnchor: this._rvDeleteGeospatialAnchor,
+        rvListGeospatialAnchors: this._rvListGeospatialAnchors,
+        // ReactVision Cloud Anchor Management
+        rvGetCloudAnchor: this._rvGetCloudAnchor,
+        rvListCloudAnchors: this._rvListCloudAnchors,
+        rvUpdateCloudAnchor: this._rvUpdateCloudAnchor,
+        rvDeleteCloudAnchor: this._rvDeleteCloudAnchor,
+        rvFindNearbyCloudAnchors: this._rvFindNearbyCloudAnchors,
+        rvAttachAssetToCloudAnchor: this._rvAttachAssetToCloudAnchor,
+        rvRemoveAssetFromCloudAnchor: this._rvRemoveAssetFromCloudAnchor,
+        rvTrackCloudAnchorResolution: this._rvTrackCloudAnchorResolution,
+        // Assets API
+        rvUploadAsset: this._rvUploadAsset,
         // Scene Semantics API
         isSemanticModeSupported: this._isSemanticModeSupported,
         setSemanticModeEnabled: this._setSemanticModeEnabled,
@@ -865,10 +990,10 @@ class ViroARSceneNavigator extends React.Component {
         if (this.sceneNavigator.viroAppProps?.rootTag) {
             delete this.sceneNavigator.viroAppProps?.rootTag;
         }
-        const { viroAppProps = {} } = this.props;
+        const { viroAppProps = {}, provider = "reactvision", ...restProps } = this.props;
         return (<VRTARSceneNavigator ref={(component) => {
                 this._component = component;
-            }} {...this.props} viroAppProps={viroAppProps} currentSceneIndex={this.state.currentSceneIndex} style={(this.props.style, styles.container)} key={this.state.internalRemountKey} onTabSwitch={this._onTabSwitch}>
+            }} {...restProps} cloudAnchorProvider={provider} geospatialAnchorProvider={provider} viroAppProps={viroAppProps} currentSceneIndex={this.state.currentSceneIndex} style={(this.props.style, styles.container)} key={this.state.internalRemountKey} onTabSwitch={this._onTabSwitch}>
         {items}
       </VRTARSceneNavigator>);
     }
diff --git a/dist/components/Material/ViroMaterials.d.ts b/dist/components/Material/ViroMaterials.d.ts
index 58ac328a..51903aa1 100644
--- a/dist/components/Material/ViroMaterials.d.ts
+++ b/dist/components/Material/ViroMaterials.d.ts
@@ -30,6 +30,20 @@ export type ViroResolvedCubeMap = {
 export type ViroShaderModifier = {
     body?: string;
     uniforms?: string;
+    /** Typed varying declarations shared between vertex and fragment stages.
+     *  Each string is a GLSL type+name pair, e.g. "highp float displacement".
+     *  The 'out' / 'in' qualifiers are added automatically. */
+    varyings?: string[];
+    /** When true the modifier may declare and sample
+     *  'uniform sampler2D scene_depth_texture'.
+     *  The engine auto-binds the previous frame's scene depth buffer (HDR mode only).
+     *  The sampler is bound by name — this flag is informational metadata. */
+    requiresSceneDepth?: boolean;
+    /** When true the modifier may declare and sample 'uniform sampler2D camera_texture'.
+     *  The engine auto-binds the live AR camera background texture.
+     *  On Android (ARCore) the OES extension and samplerExternalOES are injected automatically.
+     *  A 'uniform mat4 camera_image_transform' is also auto-bound for UV mapping. */
+    requiresCameraTexture?: boolean;
 };
 export type ViroShaderModifiers = {
     geometry?: string | ViroShaderModifier;
@@ -85,7 +99,7 @@ export declare class ViroMaterials {
      *
      * @param materialName - The name of the material to update
      * @param uniformName - The name of the uniform variable (e.g., "time")
-     * @param uniformType - The type of the uniform ("float", "vec2", "vec3", "vec4", "mat4")
+     * @param uniformType - The type of the uniform ("float", "vec2", "vec3", "vec4", "mat4", "sampler2D")
      * @param value - The new value (number for float, array for vectors/matrices)
      *
      * @example
@@ -96,5 +110,5 @@ export declare class ViroMaterials {
      * // Update color uniform
      * ViroMaterials.updateShaderUniform("myMaterial", "glowColor", "vec3", [1.0, 0.5, 0.0]);
      */
-    static updateShaderUniform(materialName: string, uniformName: string, uniformType: "float" | "vec2" | "vec3" | "vec4" | "mat4", value: number | number[]): void;
+    static updateShaderUniform(materialName: string, uniformName: string, uniformType: "float" | "vec2" | "vec3" | "vec4" | "mat4" | "sampler2D", value: number | number[] | any): void;
 }
diff --git a/dist/components/Material/ViroMaterials.js b/dist/components/Material/ViroMaterials.js
index 7c4da414..1dd26d93 100644
--- a/dist/components/Material/ViroMaterials.js
+++ b/dist/components/Material/ViroMaterials.js
@@ -73,7 +73,6 @@ class ViroMaterials {
             result[key] = resultMaterial;
         }
         if (MaterialManager) {
-            console.log("ViroMaterials: Sending materials to native:", Object.keys(result));
             MaterialManager.setJSMaterials(result);
         }
         else {
@@ -96,7 +95,7 @@ class ViroMaterials {
      *
      * @param materialName - The name of the material to update
      * @param uniformName - The name of the uniform variable (e.g., "time")
-     * @param uniformType - The type of the uniform ("float", "vec2", "vec3", "vec4", "mat4")
+     * @param uniformType - The type of the uniform ("float", "vec2", "vec3", "vec4", "mat4", "sampler2D")
      * @param value - The new value (number for float, array for vectors/matrices)
      *
      * @example
diff --git a/dist/components/ReactVisionClient.d.ts b/dist/components/ReactVisionClient.d.ts
new file mode 100644
index 00000000..30cbc35f
--- /dev/null
+++ b/dist/components/ReactVisionClient.d.ts
@@ -0,0 +1,110 @@
+/**
+ * ReactVisionClient.ts
+ *
+ * Pure TypeScript / fetch() client for the ReactVision platform APIs.
+ *
+ * Use this for:
+ *  - Geospatial Anchors  (GPS-based, no AR frame data required)
+ *  - Cloud Anchor metadata queries (list, search, delete)
+ *
+ * For hosting/resolving Cloud Anchors with visual feature data, use the
+ * native ViroARSceneNavigator.hostCloudAnchor() / resolveCloudAnchor() APIs
+ * which route through the ReactVisionCCA C++ library inside ViroCore.
+ *
+ * Copyright © 2026 ReactVision. All rights reserved.
+ * Proprietary and Confidential
+ */
+export interface RVGeospatialAnchor {
+    id: string;
+    project_id: string;
+    name?: string;
+    latitude: number;
+    longitude: number;
+    altitude?: number;
+    radius_m?: number;
+    heading?: number;
+    metadata?: Record<string, unknown>;
+    created_at: string;
+    updated_at: string;
+}
+export interface RVCreateGeospatialAnchorParams {
+    project_id: string;
+    name?: string;
+    latitude: number;
+    longitude: number;
+    altitude?: number;
+    radius_m?: number;
+    heading?: number;
+    metadata?: Record<string, unknown>;
+}
+export interface RVUpdateGeospatialAnchorParams {
+    name?: string;
+    latitude?: number;
+    longitude?: number;
+    altitude?: number;
+    radius_m?: number;
+    heading?: number;
+    metadata?: Record<string, unknown>;
+}
+export interface RVNearbySearchParams {
+    latitude: number;
+    longitude: number;
+    radius_m: number;
+    project_id?: string;
+    limit?: number;
+}
+export interface RVListGeospatialParams {
+    project_id?: string;
+    limit?: number;
+    offset?: number;
+}
+export interface RVGeospatialListResult {
+    success: boolean;
+    data: RVGeospatialAnchor[];
+    total?: number;
+}
+export interface RVCloudAnchor {
+    id: string;
+    project_id: string;
+    status: string;
+    descriptors_url?: string;
+    created_at: string;
+    expires_at?: string;
+}
+export interface RVApiResult<T> {
+    success: boolean;
+    data?: T;
+    error?: string;
+}
+export declare class ReactVisionClient {
+    private readonly apiKey;
+    private readonly baseUrl;
+    /**
+     * @param apiKey  ReactVision API key from platform.reactvision.xyz dashboard.
+     * @param baseUrl Optional override (defaults to https://platform.reactvision.xyz).
+     */
+    constructor(apiKey: string, baseUrl?: string);
+    /** Create a geospatial (GPS-based) anchor. */
+    createGeospatialAnchor(params: RVCreateGeospatialAnchorParams): Promise<RVApiResult<RVGeospatialAnchor>>;
+    /** Fetch a single geospatial anchor by ID. */
+    getGeospatialAnchor(id: string): Promise<RVApiResult<RVGeospatialAnchor>>;
+    /** List geospatial anchors (optionally filtered by project). */
+    listGeospatialAnchors(params?: RVListGeospatialParams): Promise<RVApiResult<RVGeospatialListResult>>;
+    /** Find geospatial anchors within a radius (metres) of a GPS coordinate. */
+    findNearbyGeospatialAnchors(params: RVNearbySearchParams): Promise<RVApiResult<RVGeospatialListResult>>;
+    /** Update a geospatial anchor's fields. */
+    updateGeospatialAnchor(id: string, params: RVUpdateGeospatialAnchorParams): Promise<RVApiResult<RVGeospatialAnchor>>;
+    /** Delete a geospatial anchor. */
+    deleteGeospatialAnchor(id: string): Promise<RVApiResult<null>>;
+    /** Fetch metadata for a cloud anchor by ID. */
+    getCloudAnchor(id: string): Promise<RVApiResult<RVCloudAnchor>>;
+    /** List cloud anchors for a project. */
+    listCloudAnchors(projectId: string, limit?: number, offset?: number): Promise<RVApiResult<RVCloudAnchor[]>>;
+    /** Delete a cloud anchor. */
+    deleteCloudAnchor(id: string): Promise<RVApiResult<null>>;
+    private _get;
+    private _post;
+    private _patch;
+    private _delete;
+    private _request;
+}
diff --git a/dist/components/ReactVisionClient.js b/dist/components/ReactVisionClient.js
new file mode 100644
index 00000000..641ad128
--- /dev/null
+++ b/dist/components/ReactVisionClient.js
@@ -0,0 +1,139 @@
+"use strict";
+/**
+ * ReactVisionClient.ts
+ *
+ * Pure TypeScript / fetch() client for the ReactVision platform APIs.
+ *
+ * Use this for:
+ *  - Geospatial Anchors  (GPS-based, no AR frame data required)
+ *  - Cloud Anchor metadata queries (list, search, delete)
+ *
+ * For hosting/resolving Cloud Anchors with visual feature data, use the
+ * native ViroARSceneNavigator.hostCloudAnchor() / resolveCloudAnchor() APIs
+ * which route through the ReactVisionCCA C++ library inside ViroCore.
+ *
+ * Copyright © 2026 ReactVision. All rights reserved.
+ * Proprietary and Confidential
+ */
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.ReactVisionClient = void 0;
+// ============================================================================
+// Client
+// ============================================================================
+class ReactVisionClient {
+    apiKey;
+    baseUrl;
+    /**
+     * @param apiKey  ReactVision API key from platform.reactvision.xyz dashboard.
+     * @param baseUrl Optional override (defaults to https://platform.reactvision.xyz).
+     */
+    constructor(apiKey, baseUrl = "https://platform.reactvision.xyz") {
+        this.apiKey = apiKey;
+        this.baseUrl = baseUrl.replace(/\/$/, "");
+    }
+    // --------------------------------------------------------------------------
+    // Geospatial Anchors
+    // --------------------------------------------------------------------------
+    /** Create a geospatial (GPS-based) anchor. */
+    async createGeospatialAnchor(params) {
+        return this._post("/functions/v1/geospatial-anchors", params);
+    }
+    /** Fetch a single geospatial anchor by ID. */
+    async getGeospatialAnchor(id) {
+        return this._get(`/functions/v1/geospatial-anchors/${id}`);
+    }
+    /** List geospatial anchors (optionally filtered by project). */
+    async listGeospatialAnchors(params = {}) {
+        const qs = new URLSearchParams();
+        if (params.project_id)
+            qs.set("project_id", params.project_id);
+        if (params.limit != null)
+            qs.set("limit", String(params.limit));
+        if (params.offset != null)
+            qs.set("offset", String(params.offset));
+        const query = qs.toString() ? `?${qs}` : "";
+        return this._get(`/functions/v1/geospatial-anchors${query}`);
+    }
+    /** Find geospatial anchors within a radius (metres) of a GPS coordinate. */
+    async findNearbyGeospatialAnchors(params) {
+        return this._post("/functions/v1/geospatial-anchors/nearby", params);
+    }
+    /** Update a geospatial anchor's fields. */
+    async updateGeospatialAnchor(id, params) {
+        return this._patch(`/functions/v1/geospatial-anchors/${id}`, params);
+    }
+    /** Delete a geospatial anchor. */
+    async deleteGeospatialAnchor(id) {
+        return this._delete(`/functions/v1/geospatial-anchors/${id}`);
+    }
+    // --------------------------------------------------------------------------
+    // Cloud Anchor metadata (read-only from JS; host/resolve go through native)
+    // --------------------------------------------------------------------------
+    /** Fetch metadata for a cloud anchor by ID. */
+    async getCloudAnchor(id) {
+        return this._get(`/cloud-anchors/${id}`);
+    }
+    /** List cloud anchors for a project. */
+    async listCloudAnchors(projectId, limit = 50, offset = 0) {
+        return this._get(`/cloud-anchors?project_id=${projectId}&limit=${limit}&offset=${offset}`);
+    }
+    /** Delete a cloud anchor. */
+    async deleteCloudAnchor(id) {
+        return this._delete(`/cloud-anchors/${id}`);
+    }
+    // --------------------------------------------------------------------------
+    // Internal fetch helpers
+    // --------------------------------------------------------------------------
+    async _get(path) {
+        return this._request("GET", path, undefined);
+    }
+    async _post(path, body) {
+        return this._request("POST", path, body);
+    }
+    async _patch(path, body) {
+        return this._request("PATCH", path, body);
+    }
+    async _delete(path) {
+        return this._request("DELETE", path, undefined);
+    }
+    async _request(method, path, body) {
+        try {
+            const response = await fetch(`${this.baseUrl}${path}`, {
+                method,
+                headers: {
+                    "x-api-key": this.apiKey,
+                    "Content-Type": "application/json",
+                },
+                body: body !== undefined ? JSON.stringify(body) : undefined,
+            });
+            const text = await response.text();
+            let json = {};
+            try {
+                json = JSON.parse(text);
+            }
+            catch {
+                if (!response.ok) {
+                    return { success: false, error: `HTTP ${response.status}` };
+                }
+                return { success: true };
+            }
+            if (!response.ok) {
+                const msg = json.error ||
+                    json.message ||
+                    `HTTP ${response.status}`;
+                return { success: false, error: msg };
+            }
+            // Geospatial API wraps data in { success, data }; Cloud Anchor API
+            // returns the object directly or in { anchor }.
+            const data = json.data ??
+                json.anchor ??
+                json;
+            return { success: true, data };
+        }
+        catch (err) {
+            const msg = err instanceof Error ? err.message : String(err);
+            return { success: false, error: msg };
+        }
+    }
+}
+exports.ReactVisionClient = ReactVisionClient;
diff --git a/dist/components/Types/ViroEvents.d.ts b/dist/components/Types/ViroEvents.d.ts
index f5f8dc61..f51e27f6 100644
--- a/dist/components/Types/ViroEvents.d.ts
+++ b/dist/components/Types/ViroEvents.d.ts
@@ -308,9 +308,11 @@ export type ViroSoundFinishEvent = any;
  */
 export type ViroCloudAnchorState = "None" | "Success" | "ErrorInternal" | "TaskInProgress" | "ErrorNotAuthorized" | "ErrorResourceExhausted" | "ErrorHostingDatasetProcessingFailed" | "ErrorCloudIdNotFound" | "ErrorResolvingSdkVersionTooOld" | "ErrorResolvingSdkVersionTooNew" | "ErrorHostingServiceUnavailable";
 /**
- * Cloud anchor provider type.
+ * Unified AR provider — controls both cloud anchors and geospatial anchors.
  */
-export type ViroCloudAnchorProvider = "none" | "arcore";
+export type ViroProvider = "none" | "arcore" | "reactvision";
+/** @deprecated Use ViroProvider */
+export type ViroCloudAnchorProvider = ViroProvider;
 /**
  * Represents a cloud-hosted AR anchor.
  */
@@ -358,10 +360,8 @@ export type ViroCloudAnchorStateChangeEvent = {
 /** ===========================================================================
  * Viro Geospatial API Events and Types
  * ============================================================================ */
-/**
- * Geospatial anchor provider type.
- */
-export type ViroGeospatialAnchorProvider = "none" | "arcore";
+/** @deprecated Use ViroProvider */
+export type ViroGeospatialAnchorProvider = ViroProvider;
 /**
  * Earth tracking state.
  * Maps to GARSessionEarthState (iOS) and Earth.EarthState (Android)
diff --git a/dist/components/Utilities/ViroUtils.d.ts b/dist/components/Utilities/ViroUtils.d.ts
index 241ed9ee..6149430d 100644
--- a/dist/components/Utilities/ViroUtils.d.ts
+++ b/dist/components/Utilities/ViroUtils.d.ts
@@ -28,6 +28,27 @@ export declare function polarToCartesian(polarcoords: number[]): number[];
  * phi - the yz-plane angle starting from y = 0 degrees
  */
 export declare function polarToCartesianActual(polarcoords: number[]): number[];
+import type { ViroGeospatialPose } from "../Types/ViroEvents";
+/**
+ * Convert a lat/lng pair to Web Mercator coordinates (metres).
+ * Returns [x (Easting), y (Northing)].
+ */
+export declare function latLngToMercator(lat: number, lng: number): [number, number];
+/**
+ * Convert a GPS position (lat/lng/alt) to an AR world-space offset from the
+ * device's current geospatial pose.
+ *
+ * Uses a Mercator projection for the horizontal plane and the device compass
+ * heading to rotate into the AR coordinate frame:
+ *   +X = right,  +Y = up,  -Z = forward (right-hand rule)
+ *
+ * @param devicePose  Current camera geospatial pose from getCameraGeospatialPose()
+ * @param anchorLat   Target latitude in degrees
+ * @param anchorLng   Target longitude in degrees
+ * @param anchorAlt   Target altitude in metres (WGS84)
+ * @returns [arX, arY, arZ] position in metres relative to the device
+ */
+export declare function gpsToArWorld(devicePose: ViroGeospatialPose, anchorLat: number, anchorLng: number, anchorAlt: number): [number, number, number];
 export interface ViroiOSArSupportResponse {
     isARSupported: boolean;
 }
diff --git a/dist/components/Utilities/ViroUtils.js b/dist/components/Utilities/ViroUtils.js
index f4e2e2c8..a7e2e319 100644
--- a/dist/components/Utilities/ViroUtils.js
+++ b/dist/components/Utilities/ViroUtils.js
@@ -12,6 +12,8 @@
 Object.defineProperty(exports, "__esModule", { value: true });
 exports.polarToCartesian = polarToCartesian;
 exports.polarToCartesianActual = polarToCartesianActual;
+exports.latLngToMercator = latLngToMercator;
+exports.gpsToArWorld = gpsToArWorld;
 exports.isARSupportedOnDevice = isARSupportedOnDevice;
 /**
  * Convert the given polar coords of the form [r, theta, phi] to cartesian
@@ -62,6 +64,55 @@ function polarToCartesianActual(polarcoords) {
     return cartesianCoords;
 }
 const react_native_1 = require("react-native");
+// ---------------------------------------------------------------------------
+// Geospatial utilities — GPS ↔ AR world-space conversion
+// ---------------------------------------------------------------------------
+const EARTH_RADIUS_M = 6378137; // WGS84 equatorial radius in metres
+/**
+ * Convert a lat/lng pair to Web Mercator coordinates (metres).
+ * Returns [x (Easting), y (Northing)].
+ */
+function latLngToMercator(lat, lng) {
+    const x = EARTH_RADIUS_M * (lng * Math.PI) / 180;
+    const y = EARTH_RADIUS_M *
+        Math.log(Math.tan(Math.PI / 4 + (lat * Math.PI) / 360));
+    return [x, y];
+}
+/**
+ * Convert a GPS position (lat/lng/alt) to an AR world-space offset from the
+ * device's current geospatial pose.
+ *
+ * Uses a Mercator projection for the horizontal plane and the device compass
+ * heading to rotate into the AR coordinate frame:
+ *   +X = right,  +Y = up,  -Z = forward (right-hand rule)
+ *
+ * @param devicePose  Current camera geospatial pose from getCameraGeospatialPose()
+ * @param anchorLat   Target latitude in degrees
+ * @param anchorLng   Target longitude in degrees
+ * @param anchorAlt   Target altitude in metres (WGS84)
+ * @returns [arX, arY, arZ] position in metres relative to the device
+ */
+function gpsToArWorld(devicePose, anchorLat, anchorLng, anchorAlt) {
+    const [devX, devY] = latLngToMercator(devicePose.latitude, devicePose.longitude);
+    const [ancX, ancY] = latLngToMercator(anchorLat, anchorLng);
+    // Delta in metres: East (X) and North (Y)
+    const deltaE = ancX - devX;
+    const deltaN = ancY - devY;
+    const deltaAlt = anchorAlt - devicePose.altitude;
+    // Bearing from device to anchor (clockwise from North, radians)
+    const bearing = Math.atan2(deltaE, deltaN);
+    const distance = Math.sqrt(deltaE * deltaE + deltaN * deltaN);
+    // Device compass heading: degrees CW from North → radians
+    const headingRad = (devicePose.heading * Math.PI) / 180;
+    // Relative bearing in device frame
+    const relBearing = bearing - headingRad;
+    // AR frame: +X = right, -Z = forward
+    return [
+        distance * Math.sin(relBearing), // arX
+        deltaAlt, // arY (altitude difference)
+        -distance * Math.cos(relBearing), // arZ
+    ];
+}
 function isARSupportedOnDevice() {
     return new Promise((resolve, reject) => {
         if (react_native_1.Platform.OS == "ios") {
diff --git a/dist/components/Utilities/ViroVersion.d.ts b/dist/components/Utilities/ViroVersion.d.ts
index c756dd59..d606b4c4 100644
--- a/dist/components/Utilities/ViroVersion.d.ts
+++ b/dist/components/Utilities/ViroVersion.d.ts
@@ -1 +1 @@
-export declare const VIRO_VERSION = "2.52.1";
+export declare const VIRO_VERSION = "2.53.0";
diff --git a/dist/components/Utilities/ViroVersion.js b/dist/components/Utilities/ViroVersion.js
index 12c41a80..cf9e47db 100644
--- a/dist/components/Utilities/ViroVersion.js
+++ b/dist/components/Utilities/ViroVersion.js
@@ -1,4 +1,4 @@
 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
 exports.VIRO_VERSION = void 0;
-exports.VIRO_VERSION = "2.52.1";
+exports.VIRO_VERSION = "2.53.0";
diff --git a/dist/index.d.ts b/dist/index.d.ts
index 3eee477c..11080c20 100644
--- a/dist/index.d.ts
+++ b/dist/index.d.ts
@@ -52,10 +52,10 @@ import { ViroVRSceneNavigator } from "./components/ViroVRSceneNavigator";
 import { Viro3DSceneNavigator } from "./components/Viro3DSceneNavigator";
 import { ViroTextStyle } from "./components/Styles/ViroTextStyle";
 import { ViroStyle } from "./components/Styles/ViroStyle";
-import { polarToCartesian, polarToCartesianActual, isARSupportedOnDevice, ViroARSupportResponse } from "./components/Utilities/ViroUtils";
+import { polarToCartesian, polarToCartesianActual, isARSupportedOnDevice, ViroARSupportResponse, latLngToMercator, gpsToArWorld } from "./components/Utilities/ViroUtils";
 import { ViroARCamera } from "./components/AR/ViroARCamera";
-import { ViroHoverEvent, ViroClickEvent, ViroClickStateEvent, ViroTouchEvent, ViroScrollEvent, ViroSwipeEvent, ViroFuseEvent, ViroPinchEvent, ViroRotateEvent, ViroDragEvent, ViroPlatformEvent, ViroCollisionEvent, ViroPlatformInfo, ViroCameraTransformEvent, ViroPlatformUpdateEvent, ViroCameraTransform, ViroExitViroEvent, ViroErrorEvent, ViroAnimationStartEvent, ViroAnimationFinishEvent, ViroLoadStartEvent, ViroLoadEndEvent, ViroLoadErrorEvent, ViroVideoBufferStartEvent, ViroVideoBufferEndEvent, ViroVideoUpdateTimeEvent, ViroVideoErrorEvent, ViroVideoFinishEvent, ViroAnimatedComponentStartEvent, ViroAnimatedComponentFinishEvent, ViroARAnchorRemovedEvent, ViroARAnchorUpdatedEvent, ViroARAnchorFoundEvent, ViroAnchor, ViroAnchorFoundMap, ViroAnchorUpdatedMap, ViroPlaneUpdatedMap, ViroPlaneUpdatedEvent, ViroARPlaneSizes, ViroCameraARHitTestEvent, ViroCameraARHitTest, ViroARHitTestResult, ViroARPointCloudUpdateEvent, ViroARPointCloud, ViroTrackingUpdatedEvent, ViroTrackingState, ViroTrackingReason, ViroAmbientLightUpdateEvent, ViroAmbientLightInfo, ViroWorldOrigin, ViroNativeTransformUpdateEvent, ViroControllerStatusEvent, ViroControllerStatus, ViroPortalEnterEvent, ViroPortalExitEvent, ViroSoundFinishEvent, ViroPinchStateTypes, ViroClickStateTypes, ViroRotateStateTypes, ViroCloudAnchorState, ViroCloudAnchorProvider, ViroCloudAnchor, ViroHostCloudAnchorResult, ViroResolveCloudAnchorResult, ViroCloudAnchorStateChangeEvent, ViroGeospatialAnchorProvider, ViroEarthTrackingState, ViroVPSAvailability, ViroGeospatialAnchorType, ViroQuaternion, ViroGeospatialPose, ViroGeospatialAnchor, ViroGeospatialSupportResult, ViroEarthTrackingStateResult, ViroGeospatialPoseResult, ViroVPSAvailabilityResult, ViroCreateGeospatialAnchorResult, ViroMonocularDepthSupportResult, ViroMonocularDepthModelAvailableResult, ViroMonocularDepthPreferenceResult } from "./components/Types/ViroEvents";
+import { ViroHoverEvent, ViroClickEvent, ViroClickStateEvent, ViroTouchEvent, ViroScrollEvent, ViroSwipeEvent, ViroFuseEvent, ViroPinchEvent, ViroRotateEvent, ViroDragEvent, ViroPlatformEvent, ViroCollisionEvent, ViroPlatformInfo, ViroCameraTransformEvent, ViroPlatformUpdateEvent, ViroCameraTransform, ViroExitViroEvent, ViroErrorEvent, ViroAnimationStartEvent, ViroAnimationFinishEvent, ViroLoadStartEvent, ViroLoadEndEvent, ViroLoadErrorEvent, ViroVideoBufferStartEvent, ViroVideoBufferEndEvent, ViroVideoUpdateTimeEvent, ViroVideoErrorEvent, ViroVideoFinishEvent, ViroAnimatedComponentStartEvent, ViroAnimatedComponentFinishEvent, ViroARAnchorRemovedEvent, ViroARAnchorUpdatedEvent, ViroARAnchorFoundEvent, ViroAnchor, ViroAnchorFoundMap, ViroAnchorUpdatedMap, ViroPlaneUpdatedMap, ViroPlaneUpdatedEvent, ViroARPlaneSizes, ViroCameraARHitTestEvent, ViroCameraARHitTest, ViroARHitTestResult, ViroARPointCloudUpdateEvent, ViroARPointCloud, ViroTrackingUpdatedEvent, ViroTrackingState, ViroTrackingReason, ViroAmbientLightUpdateEvent, ViroAmbientLightInfo, ViroWorldOrigin, ViroNativeTransformUpdateEvent, ViroControllerStatusEvent, ViroControllerStatus, ViroPortalEnterEvent, ViroPortalExitEvent, ViroSoundFinishEvent, ViroPinchStateTypes, ViroClickStateTypes, ViroRotateStateTypes, ViroProvider, ViroCloudAnchorState, ViroCloudAnchorProvider, ViroCloudAnchor, ViroHostCloudAnchorResult, ViroResolveCloudAnchorResult, ViroCloudAnchorStateChangeEvent, ViroGeospatialAnchorProvider, ViroEarthTrackingState, ViroVPSAvailability, ViroGeospatialAnchorType, ViroQuaternion, ViroGeospatialPose, ViroGeospatialAnchor, ViroGeospatialSupportResult, ViroEarthTrackingStateResult, ViroGeospatialPoseResult, ViroVPSAvailabilityResult, ViroCreateGeospatialAnchorResult, ViroMonocularDepthSupportResult, ViroMonocularDepthModelAvailableResult, ViroMonocularDepthPreferenceResult } from "./components/Types/ViroEvents";
 import { ViroSurface } from "./components/ViroSurface";
 import { ViroSceneNavigator } from "./components/ViroSceneNavigator";
 import { VIRO_VERSION } from "./components/Utilities/ViroVersion";
-export { ViroARImageMarker, ViroARObjectMarker, ViroARTrackingTargets, ViroARPlane, ViroARPlaneSelector, ViroARScene, ViroARSceneNavigator, ViroBox, ViroButton, ViroCamera, ViroController, ViroDirectionalLight, ViroFlexView, ViroGeometry, ViroLightingEnvironment, ViroImage, ViroMaterials, ViroARCamera, ViroMaterialVideo, ViroNode, ViroOmniLight, ViroOrbitCamera, ViroParticleEmitter, ViroPolygon, ViroPolyline, ViroPortal, ViroPortalScene, ViroQuad, ViroScene, ViroSurface, ViroSceneNavigator, ViroSkyBox, ViroAnimations, Viro3DObject, Viro360Image, Viro360Video, ViroAnimatedImage, ViroAmbientLight, ViroAnimatedComponent, ViroSound, ViroSoundField, ViroSpatialSound, ViroSphere, ViroSpinner, ViroSpotLight, ViroText, ViroVideo, ViroVRSceneNavigator, Viro3DSceneNavigator, ViroARTrackingReasonConstants, ViroRecordingErrorConstants, ViroTrackingStateConstants, polarToCartesian, polarToCartesianActual, isARSupportedOnDevice, ViroARSupportResponse, ViroHoverEvent, ViroClickEvent, ViroClickStateEvent, ViroClickStateTypes, ViroTouchEvent, ViroScrollEvent, ViroSwipeEvent, ViroFuseEvent, ViroPinchEvent, ViroPinchStateTypes, ViroRotateEvent, ViroRotateStateTypes, ViroDragEvent, ViroPlatformEvent, ViroCollisionEvent, ViroPlatformInfo, ViroCameraTransformEvent, ViroPlatformUpdateEvent, ViroCameraTransform, ViroExitViroEvent, ViroErrorEvent, ViroAnimationStartEvent, ViroAnimationFinishEvent, ViroLoadStartEvent, ViroLoadEndEvent, ViroLoadErrorEvent, ViroVideoBufferStartEvent, ViroVideoBufferEndEvent, ViroVideoUpdateTimeEvent, ViroVideoErrorEvent, ViroVideoFinishEvent, ViroAnimatedComponentStartEvent, ViroAnimatedComponentFinishEvent, ViroARAnchorRemovedEvent, ViroARAnchorUpdatedEvent, ViroARAnchorFoundEvent, ViroAnchor, ViroAnchorFoundMap, ViroAnchorUpdatedMap, ViroPlaneUpdatedMap, ViroPlaneUpdatedEvent, ViroARPlaneSizes, ViroCameraARHitTestEvent, ViroCameraARHitTest, ViroARHitTestResult, ViroARPointCloudUpdateEvent, ViroARPointCloud, ViroTrackingUpdatedEvent, ViroTrackingState, ViroTrackingReason, ViroAmbientLightUpdateEvent, ViroAmbientLightInfo, ViroWorldOrigin, ViroNativeTransformUpdateEvent, ViroControllerStatusEvent, ViroControllerStatus, ViroPortalEnterEvent, ViroPortalExitEvent, ViroSoundFinishEvent, ViroTextStyle, ViroStyle, ViroMaterial, ViroShaderModifiers, ViroShaderUniform, ViroShaderModifier, VIRO_VERSION, ViroCloudAnchorState, ViroCloudAnchorProvider, ViroCloudAnchor, ViroHostCloudAnchorResult, ViroResolveCloudAnchorResult, ViroCloudAnchorStateChangeEvent, ViroGeospatialAnchorProvider, ViroEarthTrackingState, ViroVPSAvailability, ViroGeospatialAnchorType, ViroQuaternion, ViroGeospatialPose, ViroGeospatialAnchor, ViroGeospatialSupportResult, ViroEarthTrackingStateResult, ViroGeospatialPoseResult, ViroVPSAvailabilityResult, ViroCreateGeospatialAnchorResult, ViroMonocularDepthSupportResult, ViroMonocularDepthModelAvailableResult, ViroMonocularDepthPreferenceResult, };
+export { ViroARImageMarker, ViroARObjectMarker, ViroARTrackingTargets, ViroARPlane, ViroARPlaneSelector, ViroARScene, ViroARSceneNavigator, ViroBox, ViroButton, ViroCamera, ViroController, ViroDirectionalLight, ViroFlexView, ViroGeometry, ViroLightingEnvironment, ViroImage, ViroMaterials, ViroARCamera, ViroMaterialVideo, ViroNode, ViroOmniLight, ViroOrbitCamera, ViroParticleEmitter, ViroPolygon, ViroPolyline, ViroPortal, ViroPortalScene, ViroQuad, ViroScene, ViroSurface, ViroSceneNavigator, ViroSkyBox, ViroAnimations, Viro3DObject, Viro360Image, Viro360Video, ViroAnimatedImage, ViroAmbientLight, ViroAnimatedComponent, ViroSound, ViroSoundField, ViroSpatialSound, ViroSphere, ViroSpinner, ViroSpotLight, ViroText, ViroVideo, ViroVRSceneNavigator, Viro3DSceneNavigator, ViroARTrackingReasonConstants, ViroRecordingErrorConstants, ViroTrackingStateConstants, polarToCartesian, polarToCartesianActual, isARSupportedOnDevice, latLngToMercator, gpsToArWorld, ViroARSupportResponse, ViroHoverEvent, ViroClickEvent, ViroClickStateEvent, ViroClickStateTypes, ViroTouchEvent, ViroScrollEvent, ViroSwipeEvent, ViroFuseEvent, ViroPinchEvent, ViroPinchStateTypes, ViroRotateEvent, ViroRotateStateTypes, ViroDragEvent, ViroPlatformEvent, ViroCollisionEvent, ViroPlatformInfo, ViroCameraTransformEvent, ViroPlatformUpdateEvent, ViroCameraTransform, ViroExitViroEvent, ViroErrorEvent, ViroAnimationStartEvent, ViroAnimationFinishEvent, ViroLoadStartEvent, ViroLoadEndEvent, ViroLoadErrorEvent, ViroVideoBufferStartEvent, ViroVideoBufferEndEvent, ViroVideoUpdateTimeEvent, ViroVideoErrorEvent, ViroVideoFinishEvent, ViroAnimatedComponentStartEvent, ViroAnimatedComponentFinishEvent, ViroARAnchorRemovedEvent, ViroARAnchorUpdatedEvent, ViroARAnchorFoundEvent, ViroAnchor, ViroAnchorFoundMap, ViroAnchorUpdatedMap, ViroPlaneUpdatedMap, ViroPlaneUpdatedEvent, ViroARPlaneSizes, ViroCameraARHitTestEvent, ViroCameraARHitTest, ViroARHitTestResult, ViroARPointCloudUpdateEvent, ViroARPointCloud, ViroTrackingUpdatedEvent, ViroTrackingState, ViroTrackingReason, ViroAmbientLightUpdateEvent, ViroAmbientLightInfo, ViroWorldOrigin, ViroNativeTransformUpdateEvent, ViroControllerStatusEvent, ViroControllerStatus, ViroPortalEnterEvent, ViroPortalExitEvent, ViroSoundFinishEvent, ViroTextStyle, ViroStyle, ViroMaterial, ViroShaderModifiers, ViroShaderUniform, ViroShaderModifier, VIRO_VERSION, ViroProvider, ViroCloudAnchorState, ViroCloudAnchorProvider, ViroCloudAnchor, ViroHostCloudAnchorResult, ViroResolveCloudAnchorResult, ViroCloudAnchorStateChangeEvent, ViroGeospatialAnchorProvider, ViroEarthTrackingState, ViroVPSAvailability, ViroGeospatialAnchorType, ViroQuaternion, ViroGeospatialPose, ViroGeospatialAnchor, ViroGeospatialSupportResult, ViroEarthTrackingStateResult, ViroGeospatialPoseResult, ViroVPSAvailabilityResult, ViroCreateGeospatialAnchorResult, ViroMonocularDepthSupportResult, ViroMonocularDepthModelAvailableResult, ViroMonocularDepthPreferenceResult, };
diff --git a/dist/index.js b/dist/index.js
index 6da873d7..a31a3b34 100644
--- a/dist/index.js
+++ b/dist/index.js
@@ -1,7 +1,7 @@
 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
 exports.ViroARTrackingReasonConstants = exports.Viro3DSceneNavigator = exports.ViroVRSceneNavigator = exports.ViroVideo = exports.ViroText = exports.ViroSpotLight = exports.ViroSpinner = exports.ViroSphere = exports.ViroSpatialSound = exports.ViroSoundField = exports.ViroSound = exports.ViroAnimatedComponent = exports.ViroAmbientLight = exports.ViroAnimatedImage = exports.Viro360Video = exports.Viro360Image = exports.Viro3DObject = exports.ViroAnimations = exports.ViroSkyBox = exports.ViroSceneNavigator = exports.ViroSurface = exports.ViroScene = exports.ViroQuad = exports.ViroPortalScene = exports.ViroPortal = exports.ViroPolyline = exports.ViroPolygon = exports.ViroParticleEmitter = exports.ViroOrbitCamera = exports.ViroOmniLight = exports.ViroNode = exports.ViroMaterialVideo = exports.ViroARCamera = exports.ViroMaterials = exports.ViroImage = exports.ViroLightingEnvironment = exports.ViroGeometry = exports.ViroFlexView = exports.ViroDirectionalLight = exports.ViroController = exports.ViroCamera = exports.ViroButton = exports.ViroBox = exports.ViroARSceneNavigator = exports.ViroARScene = exports.ViroARPlaneSelector = exports.ViroARPlane = exports.ViroARTrackingTargets = exports.ViroARObjectMarker = exports.ViroARImageMarker = void 0;
-exports.VIRO_VERSION = exports.ViroRotateStateTypes = exports.ViroPinchStateTypes = exports.ViroClickStateTypes = exports.isARSupportedOnDevice = exports.polarToCartesianActual = exports.polarToCartesian = exports.ViroTrackingStateConstants = exports.ViroRecordingErrorConstants = void 0;
+exports.VIRO_VERSION = exports.ViroRotateStateTypes = exports.ViroPinchStateTypes = exports.ViroClickStateTypes = exports.gpsToArWorld = exports.latLngToMercator = exports.isARSupportedOnDevice = exports.polarToCartesianActual = exports.polarToCartesian = exports.ViroTrackingStateConstants = exports.ViroRecordingErrorConstants = void 0;
 /**
  * Copyright (c) 2016-present, Viro Media, Inc.
  * All rights reserved.
@@ -107,6 +107,8 @@ const ViroUtils_1 = require("./components/Utilities/ViroUtils");
 Object.defineProperty(exports, "polarToCartesian", { enumerable: true, get: function () { return ViroUtils_1.polarToCartesian; } });
 Object.defineProperty(exports, "polarToCartesianActual", { enumerable: true, get: function () { return ViroUtils_1.polarToCartesianActual; } });
 Object.defineProperty(exports, "isARSupportedOnDevice", { enumerable: true, get: function () { return ViroUtils_1.isARSupportedOnDevice; } });
+Object.defineProperty(exports, "latLngToMercator", { enumerable: true, get: function () { return ViroUtils_1.latLngToMercator; } });
+Object.defineProperty(exports, "gpsToArWorld", { enumerable: true, get: function () { return ViroUtils_1.gpsToArWorld; } });
 const ViroARCamera_1 = require("./components/AR/ViroARCamera");
 Object.defineProperty(exports, "ViroARCamera", { enumerable: true, get: function () { return ViroARCamera_1.ViroARCamera; } });
 const ViroEvents_1 = require("./components/Types/ViroEvents");
diff --git a/dist/plugins/withViro.d.ts b/dist/plugins/withViro.d.ts
index 834b01b2..9ab5b104 100644
--- a/dist/plugins/withViro.d.ts
+++ b/dist/plugins/withViro.d.ts
@@ -1,17 +1,16 @@
 import { ConfigPlugin } from "@expo/config-plugins";
 export type XrMode = "GVR" | "AR" | "OVR_MOBILE";
 /**
- * Cloud Anchors provider type.
- * - "none": Cloud Anchors disabled
- * - "arcore": Use ARCore Cloud Anchors (works on both iOS and Android)
+ * Anchor provider type.
+ * - "none": Disabled
+ * - "arcore": Use ARCore Cloud Anchors / Geospatial API
+ * - "reactvision": Use ReactVision backend (requires libreactvisioncca)
  */
-export type CloudAnchorProvider = "none" | "arcore";
-/**
- * Geospatial Anchor provider type.
- * - "none": Geospatial API disabled
- * - "arcore": Use ARCore Geospatial API (works on both iOS and Android)
- */
-export type GeospatialAnchorProvider = "none" | "arcore";
+export type Provider = "none" | "arcore" | "reactvision";
+/** @deprecated Use Provider */
+export type CloudAnchorProvider = Provider;
+/** @deprecated Use Provider */
+export type GeospatialAnchorProvider = Provider;
 /**
  * iOS framework linkage type.
  * - "dynamic": Use dynamic frameworks (required for ARCore SDK)
@@ -27,15 +26,14 @@ export interface ViroConfigurationOptions {
      * When set to "dynamic", uses dynamic frameworks which is required for ARCore SDK.
      * When set to "static", uses static frameworks for smaller binary size.
      *
-     * Note: If using cloudAnchorProvider or geospatialAnchorProvider with "arcore",
-     * this will be automatically set to "dynamic" regardless of the configured value.
+     * Note: If using provider: "arcore", this will be automatically set to "dynamic".
      *
      * DEFAULTS TO: undefined (uses project default, typically static)
      */
     iosLinkage?: IosLinkage;
     /**
      * Google Cloud API key for ARCore Cloud Anchors and Geospatial API.
-     * Required if using cloudAnchorProvider: "arcore" or geospatialAnchorProvider: "arcore"
+     * Required if using provider: "arcore".
      *
      * Get your API key from Google Cloud Console:
      * https://console.cloud.google.com/apis/credentials
@@ -44,18 +42,38 @@ export interface ViroConfigurationOptions {
      */
     googleCloudApiKey?: string;
     /**
-     * Cloud Anchors provider for cross-platform anchor sharing.
-     * When set to "arcore", enables ARCore Cloud Anchors on both iOS and Android.
+     * ReactVision API key for ReactVision Cloud Anchors and Geospatial API.
+     * Required if using provider: "reactvision" (the default).
      *
-     * DEFAULTS TO: "none"
+     * Written to AndroidManifest as com.reactvision.RVApiKey and to Info.plist as RVApiKey.
      */
-    cloudAnchorProvider?: CloudAnchorProvider;
+    rvApiKey?: string;
+    /**
+     * ReactVision Project ID for ReactVision Cloud Anchors and Geospatial API.
+     * Required if using provider: "reactvision" (the default).
+     *
+     * Written to AndroidManifest as com.reactvision.RVProjectId and to Info.plist as RVProjectId.
+     */
+    rvProjectId?: string;
     /**
-     * Geospatial Anchor provider for location-based AR.
-     * When set to "arcore", enables ARCore Geospatial API on both iOS and Android.
-     * Requires googleCloudApiKey to be set.
+     * Anchor provider for both cloud anchors and geospatial anchors.
+     * Replaces the deprecated cloudAnchorProvider + geospatialAnchorProvider props.
      *
-     * DEFAULTS TO: "none"
+     * - "reactvision": Use ReactVision backend (requires rvApiKey + rvProjectId)
+     * - "arcore": Use ARCore Cloud Anchors / Geospatial API (requires googleCloudApiKey)
+     * - "none": Disable both
+     *
+     * DEFAULTS TO: "reactvision"
+     */
+    provider?: Provider;
+    /**
+     * @deprecated Use provider instead.
+     * Cloud Anchors provider. Overrides provider for cloud anchors only if set.
+     */
+    cloudAnchorProvider?: CloudAnchorProvider;
+    /**
+     * @deprecated Use provider instead.
+     * Geospatial Anchor provider. Overrides provider for geospatial only if set.
      */
     geospatialAnchorProvider?: GeospatialAnchorProvider;
     ios?: {
@@ -92,12 +110,12 @@ export interface ViroConfigurationOptions {
         /**
          * Whether to include ARCore SDK pods.
          * When true, adds ARCore/CloudAnchors, ARCore/Geospatial, and ARCore/Semantics pods.
-         * This is automatically set to true when using cloudAnchorProvider or geospatialAnchorProvider with "arcore".
+         * This is automatically set to true when using provider: "arcore".
          *
          * ViroKit is built with weak linking, so ARCore pods are optional.
          * Without ARCore pods, cloud anchors, geospatial, and semantics features will be disabled at runtime.
          *
-         * DEFAULTS TO: false (unless cloudAnchorProvider or geospatialAnchorProvider is "arcore")
+         * DEFAULTS TO: false (unless provider is "arcore")
          */
         includeARCore?: boolean;
     };
diff --git a/dist/plugins/withViroAndroid.js b/dist/plugins/withViroAndroid.js
index 4027d88b..86c96f9a 100644
--- a/dist/plugins/withViroAndroid.js
+++ b/dist/plugins/withViroAndroid.js
@@ -166,6 +166,13 @@ const withViroManifest = (config) => (0, config_plugins_1.withAndroidManifest)(c
     const viroPlugin = config?.plugins?.find((plugin) => Array.isArray(plugin) && plugin[0] === "@reactvision/react-viro");
     if (Array.isArray(viroPlugin) && viroPlugin.length > 1) {
         const pluginOptions = viroPlugin[1];
+        // Resolve unified provider prop; old geospatialAnchorProvider overrides for backward compat.
+        // Default to "reactvision" only when rvApiKey is present (implies RV intent) but provider
+        // is not explicitly set — avoids injecting location permissions for apps with no credentials.
+        const legacyOpts = pluginOptions;
+        const geospatialAnchorProvider = legacyOpts.geospatialAnchorProvider
+            ?? pluginOptions.provider
+            ?? (pluginOptions.rvApiKey ? "reactvision" : undefined);
         if (pluginOptions.googleCloudApiKey) {
             contents?.manifest?.application?.[0]["meta-data"]?.push({
                 $: {
@@ -174,6 +181,37 @@ const withViroManifest = (config) => (0, config_plugins_1.withAndroidManifest)(c
                 },
             });
         }
+        if (pluginOptions.rvApiKey) {
+            contents?.manifest?.application?.[0]["meta-data"]?.push({
+                $: {
+                    "android:name": "com.reactvision.RVApiKey",
+                    "android:value": pluginOptions.rvApiKey,
+                },
+            });
+        }
+        if (pluginOptions.rvProjectId) {
+            contents?.manifest?.application?.[0]["meta-data"]?.push({
+                $: {
+                    "android:name": "com.reactvision.RVProjectId",
+                    "android:value": pluginOptions.rvProjectId,
+                },
+            });
+        }
+        // Add location permissions when geospatial provider is active
+        if (geospatialAnchorProvider === "arcore" || geospatialAnchorProvider === "reactvision") {
+            const existingPermissions = (contents.manifest["uses-permission"] || [])
+                .map((p) => p.$?.["android:name"]);
+            if (!existingPermissions.includes("android.permission.ACCESS_FINE_LOCATION")) {
+                contents.manifest["uses-permission"].push({
+                    $: { "android:name": "android.permission.ACCESS_FINE_LOCATION" },
+                });
+            }
+            if (!existingPermissions.includes("android.permission.ACCESS_COARSE_LOCATION")) {
+                contents.manifest["uses-permission"].push({
+                    $: { "android:name": "android.permission.ACCESS_COARSE_LOCATION" },
+                });
+            }
+        }
     }
     if (viroPluginConfig.includes("GVR") ||
         viroPluginConfig.includes("OVR_MOBILE")) {
diff --git a/dist/plugins/withViroIos.js b/dist/plugins/withViroIos.js
index 15ffdfc2..af1f5fc1 100644
--- a/dist/plugins/withViroIos.js
+++ b/dist/plugins/withViroIos.js
@@ -22,8 +22,12 @@ const withViroPods = (config) => {
                 const pluginConfig = config?.plugins?.find((plugin) => Array.isArray(plugin) && plugin[0] === "@reactvision/react-viro");
                 if (Array.isArray(pluginConfig) && pluginConfig.length > 1) {
                     const options = pluginConfig[1];
-                    cloudAnchorProvider = options.cloudAnchorProvider;
-                    geospatialAnchorProvider = options.geospatialAnchorProvider;
+                    // Resolve unified provider prop; old props override for backward compat.
+                    // Default to "reactvision" only when rvApiKey is present (implies RV intent).
+                    const defaultProvider = options.rvApiKey ? "reactvision" : undefined;
+                    const legacyOpts = options;
+                    cloudAnchorProvider = legacyOpts.cloudAnchorProvider ?? options.provider ?? defaultProvider;
+                    geospatialAnchorProvider = legacyOpts.geospatialAnchorProvider ?? options.provider ?? defaultProvider;
                     iosLinkage = options.iosLinkage;
                     includeARCore = options.ios?.includeARCore;
                 }
@@ -161,6 +165,8 @@ const withDefaultInfoPlist = (config, _props) => {
     let microphoneUsagePermission = withViro_1.DEFAULTS.ios.microphoneUsagePermission;
     let locationUsagePermission = withViro_1.DEFAULTS.ios.locationUsagePermission;
     let googleCloudApiKey;
+    let rvApiKey;
+    let rvProjectId;
     let cloudAnchorProvider;
     let geospatialAnchorProvider;
     let includeARCore;
@@ -178,8 +184,14 @@ const withDefaultInfoPlist = (config, _props) => {
             locationUsagePermission =
                 pluginOptions.ios?.locationUsagePermission || locationUsagePermission;
             googleCloudApiKey = pluginOptions.googleCloudApiKey;
-            cloudAnchorProvider = pluginOptions.cloudAnchorProvider;
-            geospatialAnchorProvider = pluginOptions.geospatialAnchorProvider;
+            rvApiKey = pluginOptions.rvApiKey;
+            rvProjectId = pluginOptions.rvProjectId;
+            // Resolve unified provider prop; old props override for backward compat.
+            // Default to "reactvision" only when rvApiKey is present (implies RV intent).
+            const defaultProvider2 = pluginOptions.rvApiKey ? "reactvision" : undefined;
+            const legacyOpts2 = pluginOptions;
+            cloudAnchorProvider = legacyOpts2.cloudAnchorProvider ?? pluginOptions.provider ?? defaultProvider2;
+            geospatialAnchorProvider = legacyOpts2.geospatialAnchorProvider ?? pluginOptions.provider ?? defaultProvider2;
             includeARCore = pluginOptions.ios?.includeARCore;
         }
     }
@@ -201,8 +213,15 @@ const withDefaultInfoPlist = (config, _props) => {
     if (googleCloudApiKey) {
         config.ios.infoPlist.GARAPIKey = googleCloudApiKey;
     }
+    // Add ReactVision credentials for ReactVision Cloud Anchors and Geospatial API (iOS)
+    if (rvApiKey) {
+        config.ios.infoPlist.RVApiKey = rvApiKey;
+    }
+    if (rvProjectId) {
+        config.ios.infoPlist.RVProjectId = rvProjectId;
+    }
     // Add location permissions for Geospatial API
-    if (geospatialAnchorProvider === "arcore" || includeARCore === true) {
+    if (geospatialAnchorProvider === "arcore" || geospatialAnchorProvider === "reactvision" || includeARCore === true) {
         config.ios.infoPlist.NSLocationWhenInUseUsageDescription =
             config.ios.infoPlist.NSLocationWhenInUseUsageDescription || locationUsagePermission;
         config.ios.infoPlist.NSLocationAlwaysAndWhenInUseUsageDescription =
diff --git a/index.ts b/index.ts
index 2afdd439..a3d3ce09 100644
--- a/index.ts
+++ b/index.ts
@@ -67,6 +67,8 @@ import {
   polarToCartesianActual,
   isARSupportedOnDevice,
   ViroARSupportResponse,
+  latLngToMercator,
+  gpsToArWorld,
 } from "./components/Utilities/ViroUtils";
 import { ViroARCamera } from "./components/AR/ViroARCamera";
 import {
@@ -129,6 +131,8 @@ import {
   ViroPinchStateTypes,
   ViroClickStateTypes,
   ViroRotateStateTypes,
+  // Provider Types
+  ViroProvider,
   // Cloud Anchor Types
   ViroCloudAnchorState,
   ViroCloudAnchorProvider,
@@ -215,6 +219,8 @@ export {
   polarToCartesian,
   polarToCartesianActual,
   isARSupportedOnDevice,
+  latLngToMercator,
+  gpsToArWorld,
   // Types
   ViroARSupportResponse,
   ViroHoverEvent,
@@ -283,6 +289,8 @@ export {
   ViroShaderUniform,
   ViroShaderModifier,
   VIRO_VERSION,
+  // Provider Types
+  ViroProvider,
   // Cloud Anchor Types
   ViroCloudAnchorState,
   ViroCloudAnchorProvider,
diff --git a/ios/ViroReact.xcodeproj/project.pbxproj b/ios/ViroReact.xcodeproj/project.pbxproj
index fc5c7440..bb91a478 100644
--- a/ios/ViroReact.xcodeproj/project.pbxproj
+++ b/ios/ViroReact.xcodeproj/project.pbxproj
@@ -2059,7 +2059,7 @@
 			);
 			runOnlyForDeploymentPostprocessing = 0;
 			shellPath = /bin/sh;
-			shellScript = "VIROREACT_DIST_PATH=${SRCROOT}/dist/\nVIRO_DEVICE_LIBRARY=$VIROREACT_DIST_PATH/armv7_arm64\nVIRO_SIMULATOR_LIBRARY=$VIROREACT_DIST_PATH/x86_64\n\n# Copy the static library (device or simulator) to dist folder\nif [ ${PLATFORM_NAME} = \"iphonesimulator\" ]; then\nmkdir -p $VIRO_SIMULATOR_LIBRARY\ncp -r $TARGET_BUILD_DIR/libViroReact.a $VIRO_SIMULATOR_LIBRARY\nelse\nmkdir -p $VIRO_DEVICE_LIBRARY\ncp -r $TARGET_BUILD_DIR/libViroReact.a $VIRO_DEVICE_LIBRARY\nfi\n\n# If both the device and simulator frameworks now exist, create the Universal framework\nif [ -f $VIRO_DEVICE_LIBRARY/libViroReact.a ] && [ -f $VIRO_SIMULATOR_LIBRARY/libViroReact.a ]; then\nlipo $VIRO_SIMULATOR_LIBRARY/libViroReact.a $VIRO_DEVICE_LIBRARY/libViroReact.a -create -output $VIROREACT_DIST_PATH/lib/libViroReact.a\nfi\n";
+			shellScript = "VIROREACT_DIST_PATH=${SRCROOT}/dist/\n\nmkdir -p $VIROREACT_DIST_PATH/lib\ncp -r $TARGET_BUILD_DIR/libViroReact.a $VIROREACT_DIST_PATH/lib/libViroReact.a\n";
 		};
 		EDCFBBED88237D1EB61CD28B /* [CP] Check Pods Manifest.lock */ = {
 			isa = PBXShellScriptBuildPhase;
diff --git a/ios/ViroReact/AR/Managers/VRTARSceneNavigatorManager.mm b/ios/ViroReact/AR/Managers/VRTARSceneNavigatorManager.mm
index 83ae2743..d9b4266f 100644
--- a/ios/ViroReact/AR/Managers/VRTARSceneNavigatorManager.mm
+++ b/ios/ViroReact/AR/Managers/VRTARSceneNavigatorManager.mm
@@ -46,6 +46,7 @@ @implementation VRTARSceneNavigatorManager
 RCT_EXPORT_VIEW_PROPERTY(shadowsEnabled, BOOL)
 RCT_EXPORT_VIEW_PROPERTY(multisamplingEnabled, BOOL)
 RCT_EXPORT_VIEW_PROPERTY(occlusionMode, NSString)
+RCT_EXPORT_VIEW_PROPERTY(depthEnabled, BOOL)
 RCT_EXPORT_VIEW_PROPERTY(depthDebugEnabled, BOOL)
 RCT_EXPORT_VIEW_PROPERTY(cloudAnchorProvider, NSString)
 RCT_EXPORT_VIEW_PROPERTY(geospatialAnchorProvider, NSString)
diff --git a/ios/ViroReact/AR/Modules/VRTARSceneNavigatorModule.mm b/ios/ViroReact/AR/Modules/VRTARSceneNavigatorModule.mm
index 67f6752a..de147471 100644
--- a/ios/ViroReact/AR/Modules/VRTARSceneNavigatorModule.mm
+++ b/ios/ViroReact/AR/Modules/VRTARSceneNavigatorModule.mm
@@ -702,6 +702,58 @@ - (dispatch_queue_t)methodQueue {
     }];
 }
 
+RCT_EXPORT_METHOD(hostGeospatialAnchor:(nonnull NSNumber *)reactTag
+                            latitude:(double)latitude
+                           longitude:(double)longitude
+                            altitude:(double)altitude
+                        altitudeMode:(NSString *)altitudeMode
+                            resolver:(RCTPromiseResolveBlock)resolve
+                            rejecter:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                         NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        VRTARSceneNavigator *component = (VRTARSceneNavigator *)viewRegistry[reactTag];
+        if (!component || ![component isKindOfClass:[VRTARSceneNavigator class]]) {
+            resolve(@{@"success": @NO, @"error": @"Invalid component"});
+            return;
+        }
+        [component hostGeospatialAnchor:latitude
+                              longitude:longitude
+                               altitude:altitude
+                           altitudeMode:altitudeMode
+                      completionHandler:^(BOOL success, NSString *platformUuid, NSString *error) {
+            if (success) {
+                resolve(@{@"success": @YES, @"anchorId": platformUuid});
+            } else {
+                resolve(@{@"success": @NO, @"error": error ?: @"Unknown error"});
+            }
+        }];
+    }];
+}
+
+RCT_EXPORT_METHOD(resolveGeospatialAnchor:(nonnull NSNumber *)reactTag
+                          platformUuid:(NSString *)platformUuid
+                             quaternion:(id)quaternion
+                               resolver:(RCTPromiseResolveBlock)resolve
+                               rejecter:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                         NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        VRTARSceneNavigator *component = (VRTARSceneNavigator *)viewRegistry[reactTag];
+        if (!component || ![component isKindOfClass:[VRTARSceneNavigator class]]) {
+            resolve(@{@"success": @NO, @"error": @"Invalid component"});
+            return;
+        }
+        [component resolveGeospatialAnchor:platformUuid
+                                 quaternion:quaternion
+                         completionHandler:^(BOOL success, NSDictionary *anchorData, NSString *error) {
+            if (success) {
+                resolve(@{@"success": @YES, @"anchor": anchorData});
+            } else {
+                resolve(@{@"success": @NO, @"error": error ?: @"Unknown error"});
+            }
+        }];
+    }];
+}
+
 RCT_EXPORT_METHOD(removeGeospatialAnchor:(nonnull NSNumber *)reactTag
                                 anchorId:(NSString *)anchorId) {
     [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
@@ -714,6 +766,385 @@ - (dispatch_queue_t)methodQueue {
     }];
 }
 
+RCT_EXPORT_METHOD(rvGetGeospatialAnchor:(nonnull NSNumber *)reactTag
+                               anchorId:(NSString *)anchorId
+                                resolve:(RCTPromiseResolveBlock)resolve
+                                 reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"});
+                return;
+            }
+            VRTARSceneNavigator *component = (VRTARSceneNavigator *)view;
+            [component rvGetGeospatialAnchor:anchorId
+                           completionHandler:^(BOOL success, NSDictionary *anchorData, NSString *error) {
+                NSMutableDictionary *result = [NSMutableDictionary new];
+                [result setObject:@(success) forKey:@"success"];
+                if (anchorData) [result setObject:anchorData forKey:@"anchor"];
+                if (error)      [result setObject:error      forKey:@"error"];
+                resolve(result);
+            }];
+        } @catch (NSException *exception) {
+            resolve(@{@"success": @NO, @"error": exception.reason});
+        }
+    }];
+}
+
+RCT_EXPORT_METHOD(rvFindNearbyGeospatialAnchors:(nonnull NSNumber *)reactTag
+                                       latitude:(double)latitude
+                                      longitude:(double)longitude
+                                         radius:(double)radius
+                                          limit:(int)limit
+                                        resolve:(RCTPromiseResolveBlock)resolve
+                                         reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"});
+                return;
+            }
+            VRTARSceneNavigator *component = (VRTARSceneNavigator *)view;
+            [component rvFindNearbyGeospatialAnchors:latitude
+                                           longitude:longitude
+                                              radius:radius
+                                               limit:limit
+                                   completionHandler:^(BOOL success, NSArray *anchors, NSString *error) {
+                NSMutableDictionary *result = [NSMutableDictionary new];
+                [result setObject:@(success) forKey:@"success"];
+                [result setObject:anchors ?: @[] forKey:@"anchors"];
+                if (error) [result setObject:error forKey:@"error"];
+                resolve(result);
+            }];
+        } @catch (NSException *exception) {
+            resolve(@{@"success": @NO, @"anchors": @[], @"error": exception.reason});
+        }
+    }];
+}
+
+RCT_EXPORT_METHOD(rvUpdateGeospatialAnchor:(nonnull NSNumber *)reactTag
+                                  anchorId:(NSString *)anchorId
+                              sceneAssetId:(NSString *)sceneAssetId
+                                   sceneId:(NSString *)sceneId
+                                      name:(NSString *)name
+                               userAssetId:(NSString *)userAssetId
+                                   resolve:(RCTPromiseResolveBlock)resolve
+                                    reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"});
+                return;
+            }
+            VRTARSceneNavigator *component = (VRTARSceneNavigator *)view;
+            [component rvUpdateGeospatialAnchor:anchorId
+                                   sceneAssetId:sceneAssetId
+                                        sceneId:sceneId
+                                           name:name
+                                    userAssetId:userAssetId
+                              completionHandler:^(BOOL success, NSDictionary *anchorData, NSString *error) {
+                NSMutableDictionary *result = [NSMutableDictionary new];
+                [result setObject:@(success) forKey:@"success"];
+                if (anchorData) [result setObject:anchorData forKey:@"anchor"];
+                if (error)      [result setObject:error      forKey:@"error"];
+                resolve(result);
+            }];
+        } @catch (NSException *exception) {
+            resolve(@{@"success": @NO, @"error": exception.reason});
+        }
+    }];
+}
+
+RCT_EXPORT_METHOD(rvUploadAsset:(nonnull NSNumber *)reactTag
+                       filePath:(NSString *)filePath
+                      assetType:(NSString *)assetType
+                       fileName:(NSString *)fileName
+                      appUserId:(NSString *)appUserId
+                        resolve:(RCTPromiseResolveBlock)resolve
+                         reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"}); return;
+            }
+            [(VRTARSceneNavigator *)view rvUploadAsset:filePath assetType:assetType
+                fileName:fileName appUserId:appUserId
+                completionHandler:^(BOOL success, NSString *userAssetId, NSString *fileUrl, NSString *error) {
+                NSMutableDictionary *result = [NSMutableDictionary new];
+                [result setObject:@(success) forKey:@"success"];
+                if (userAssetId) [result setObject:userAssetId forKey:@"userAssetId"];
+                if (fileUrl)     [result setObject:fileUrl     forKey:@"fileUrl"];
+                if (error)       [result setObject:error       forKey:@"error"];
+                resolve(result);
+            }];
+        } @catch (NSException *ex) { resolve(@{@"success": @NO, @"error": ex.reason}); }
+    }];
+}
+
+RCT_EXPORT_METHOD(rvDeleteGeospatialAnchor:(nonnull NSNumber *)reactTag
+                                  anchorId:(NSString *)anchorId
+                                   resolve:(RCTPromiseResolveBlock)resolve
+                                    reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"});
+                return;
+            }
+            VRTARSceneNavigator *component = (VRTARSceneNavigator *)view;
+            [component rvDeleteGeospatialAnchor:anchorId
+                              completionHandler:^(BOOL success, NSString *error) {
+                NSMutableDictionary *result = [NSMutableDictionary new];
+                [result setObject:@(success) forKey:@"success"];
+                if (error) [result setObject:error forKey:@"error"];
+                resolve(result);
+            }];
+        } @catch (NSException *exception) {
+            resolve(@{@"success": @NO, @"error": exception.reason});
+        }
+    }];
+}
+
+RCT_EXPORT_METHOD(rvListGeospatialAnchors:(nonnull NSNumber *)reactTag
+                                    limit:(NSInteger)limit
+                                   offset:(NSInteger)offset
+                                  resolve:(RCTPromiseResolveBlock)resolve
+                                   reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"}); return;
+            }
+            [(VRTARSceneNavigator *)view rvListGeospatialAnchors:(int)limit offset:(int)offset
+                completionHandler:^(BOOL success, NSArray *anchors, NSString *error) {
+                NSMutableDictionary *r = [NSMutableDictionary new];
+                [r setObject:@(success) forKey:@"success"];
+                [r setObject:success ? anchors : @[] forKey:@"anchors"];
+                if (error) [r setObject:error forKey:@"error"];
+                resolve(r);
+            }];
+        } @catch (NSException *ex) { resolve(@{@"success": @NO, @"error": ex.reason}); }
+    }];
+}
+
+// ── Cloud anchor management ───────────────────────────────────────────────────
+
+RCT_EXPORT_METHOD(rvGetCloudAnchor:(nonnull NSNumber *)reactTag
+                           anchorId:(NSString *)anchorId
+                            resolve:(RCTPromiseResolveBlock)resolve
+                             reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"}); return;
+            }
+            [(VRTARSceneNavigator *)view rvGetCloudAnchor:anchorId
+                completionHandler:^(BOOL success, NSDictionary *anchorData, NSString *error) {
+                NSMutableDictionary *r = [NSMutableDictionary new];
+                [r setObject:@(success) forKey:@"success"];
+                if (anchorData) [r setObject:anchorData forKey:@"anchor"];
+                if (error)      [r setObject:error      forKey:@"error"];
+                resolve(r);
+            }];
+        } @catch (NSException *ex) { resolve(@{@"success": @NO, @"error": ex.reason}); }
+    }];
+}
+
+RCT_EXPORT_METHOD(rvListCloudAnchors:(nonnull NSNumber *)reactTag
+                               limit:(NSInteger)limit
+                              offset:(NSInteger)offset
+                             resolve:(RCTPromiseResolveBlock)resolve
+                              reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"}); return;
+            }
+            [(VRTARSceneNavigator *)view rvListCloudAnchors:(int)limit offset:(int)offset
+                completionHandler:^(BOOL success, NSArray *anchors, NSString *error) {
+                NSMutableDictionary *r = [NSMutableDictionary new];
+                [r setObject:@(success) forKey:@"success"];
+                [r setObject:success ? anchors : @[] forKey:@"anchors"];
+                if (error) [r setObject:error forKey:@"error"];
+                resolve(r);
+            }];
+        } @catch (NSException *ex) { resolve(@{@"success": @NO, @"error": ex.reason}); }
+    }];
+}
+
+RCT_EXPORT_METHOD(rvUpdateCloudAnchor:(nonnull NSNumber *)reactTag
+                               anchorId:(NSString *)anchorId
+                                   name:(NSString *)name
+                            description:(NSString *)description
+                               isPublic:(BOOL)isPublic
+                                resolve:(RCTPromiseResolveBlock)resolve
+                                 reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"}); return;
+            }
+            [(VRTARSceneNavigator *)view rvUpdateCloudAnchor:anchorId name:name description:description
+                isPublic:isPublic completionHandler:^(BOOL success, NSDictionary *anchorData, NSString *error) {
+                NSMutableDictionary *r = [NSMutableDictionary new];
+                [r setObject:@(success) forKey:@"success"];
+                if (anchorData) [r setObject:anchorData forKey:@"anchor"];
+                if (error)      [r setObject:error      forKey:@"error"];
+                resolve(r);
+            }];
+        } @catch (NSException *ex) { resolve(@{@"success": @NO, @"error": ex.reason}); }
+    }];
+}
+
+RCT_EXPORT_METHOD(rvDeleteCloudAnchor:(nonnull NSNumber *)reactTag
+                              anchorId:(NSString *)anchorId
+                               resolve:(RCTPromiseResolveBlock)resolve
+                                reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"}); return;
+            }
+            [(VRTARSceneNavigator *)view rvDeleteCloudAnchor:anchorId
+                completionHandler:^(BOOL success, NSString *error) {
+                NSMutableDictionary *r = [NSMutableDictionary new];
+                [r setObject:@(success) forKey:@"success"];
+                if (error) [r setObject:error forKey:@"error"];
+                resolve(r);
+            }];
+        } @catch (NSException *ex) { resolve(@{@"success": @NO, @"error": ex.reason}); }
+    }];
+}
+
+RCT_EXPORT_METHOD(rvFindNearbyCloudAnchors:(nonnull NSNumber *)reactTag
+                                  latitude:(double)latitude
+                                 longitude:(double)longitude
+                                    radius:(double)radius
+                                     limit:(NSInteger)limit
+                                   resolve:(RCTPromiseResolveBlock)resolve
+                                    reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"}); return;
+            }
+            [(VRTARSceneNavigator *)view rvFindNearbyCloudAnchors:latitude longitude:longitude
+                radius:radius limit:(int)limit
+                completionHandler:^(BOOL success, NSArray *anchors, NSString *error) {
+                NSMutableDictionary *r = [NSMutableDictionary new];
+                [r setObject:@(success) forKey:@"success"];
+                [r setObject:success ? anchors : @[] forKey:@"anchors"];
+                if (error) [r setObject:error forKey:@"error"];
+                resolve(r);
+            }];
+        } @catch (NSException *ex) { resolve(@{@"success": @NO, @"error": ex.reason}); }
+    }];
+}
+
+RCT_EXPORT_METHOD(rvAttachAssetToCloudAnchor:(nonnull NSNumber *)reactTag
+                                    anchorId:(NSString *)anchorId
+                                     fileUrl:(NSString *)fileUrl
+                                    fileSize:(double)fileSize
+                                        name:(NSString *)name
+                                   assetType:(NSString *)assetType
+                              externalUserId:(NSString *)externalUserId
+                                     resolve:(RCTPromiseResolveBlock)resolve
+                                      reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"}); return;
+            }
+            [(VRTARSceneNavigator *)view rvAttachAssetToCloudAnchor:anchorId fileUrl:fileUrl
+                fileSize:(int64_t)fileSize name:name assetType:assetType externalUserId:externalUserId
+                completionHandler:^(BOOL success, NSString *error) {
+                NSMutableDictionary *r = [NSMutableDictionary new];
+                [r setObject:@(success) forKey:@"success"];
+                if (error) [r setObject:error forKey:@"error"];
+                resolve(r);
+            }];
+        } @catch (NSException *ex) { resolve(@{@"success": @NO, @"error": ex.reason}); }
+    }];
+}
+
+RCT_EXPORT_METHOD(rvRemoveAssetFromCloudAnchor:(nonnull NSNumber *)reactTag
+                                       anchorId:(NSString *)anchorId
+                                        assetId:(NSString *)assetId
+                                        resolve:(RCTPromiseResolveBlock)resolve
+                                         reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"}); return;
+            }
+            [(VRTARSceneNavigator *)view rvRemoveAssetFromCloudAnchor:anchorId assetId:assetId
+                completionHandler:^(BOOL success, NSString *error) {
+                NSMutableDictionary *r = [NSMutableDictionary new];
+                [r setObject:@(success) forKey:@"success"];
+                if (error) [r setObject:error forKey:@"error"];
+                resolve(r);
+            }];
+        } @catch (NSException *ex) { resolve(@{@"success": @NO, @"error": ex.reason}); }
+    }];
+}
+
+RCT_EXPORT_METHOD(rvTrackCloudAnchorResolution:(nonnull NSNumber *)reactTag
+                                       anchorId:(NSString *)anchorId
+                                        success:(BOOL)success
+                                     confidence:(double)confidence
+                                     matchCount:(NSInteger)matchCount
+                                    inlierCount:(NSInteger)inlierCount
+                               processingTimeMs:(NSInteger)processingTimeMs
+                                       platform:(NSString *)platform
+                                 externalUserId:(NSString *)externalUserId
+                                        resolve:(RCTPromiseResolveBlock)resolve
+                                         reject:(RCTPromiseRejectBlock)reject) {
+    [self.bridge.uiManager addUIBlock:^(__unused RCTUIManager *uiManager,
+                                        NSDictionary<NSNumber *, UIView *> *viewRegistry) {
+        @try {
+            VRTView *view = (VRTView *)viewRegistry[reactTag];
+            if (![view isKindOfClass:[VRTARSceneNavigator class]]) {
+                resolve(@{@"success": @NO, @"error": @"Invalid view type"}); return;
+            }
+            [(VRTARSceneNavigator *)view rvTrackCloudAnchorResolution:anchorId success:success
+                confidence:confidence matchCount:(int)matchCount inlierCount:(int)inlierCount
+                processingTimeMs:(int)processingTimeMs platform:platform externalUserId:externalUserId
+                completionHandler:^(BOOL ok, NSString *error) {
+                NSMutableDictionary *r = [NSMutableDictionary new];
+                [r setObject:@(ok) forKey:@"success"];
+                if (error) [r setObject:error forKey:@"error"];
+                resolve(r);
+            }];
+        } @catch (NSException *ex) { resolve(@{@"success": @NO, @"error": ex.reason}); }
+    }];
+}
+
 #pragma mark - Scene Semantics API Methods
 
 RCT_EXPORT_METHOD(isSemanticModeSupported:(nonnull NSNumber *)reactTag
diff --git a/ios/ViroReact/AR/Views/VRTARScene.mm b/ios/ViroReact/AR/Views/VRTARScene.mm
index 05fd58a5..7ce9c7f9 100644
--- a/ios/ViroReact/AR/Views/VRTARScene.mm
+++ b/ios/ViroReact/AR/Views/VRTARScene.mm
@@ -66,7 +66,7 @@ - (instancetype)initWithBridge:(RCTBridge *)bridge {
         _vroArScene->initDeclarativeSession();
         _vroArScene->setDelegate(_sceneDelegate);
         _vroArScene->getDeclarativeSession()->setDelegate(_sceneDelegate);
-        _nativeDetectionTypes = { VROAnchorDetection::PlanesHorizontal }; // default detection type is horizontal plane
+        _nativeDetectionTypes = { VROAnchorDetection::PlanesHorizontal, VROAnchorDetection::PlanesVertical };
         _vroArScene->setAnchorDetectionTypes(_nativeDetectionTypes);
     }
     return self;
diff --git a/ios/ViroReact/AR/Views/VRTARSceneNavigator.h b/ios/ViroReact/AR/Views/VRTARSceneNavigator.h
index 18846081..5676975b 100644
--- a/ios/ViroReact/AR/Views/VRTARSceneNavigator.h
+++ b/ios/ViroReact/AR/Views/VRTARSceneNavigator.h
@@ -48,6 +48,7 @@
 @property (nonatomic, readwrite) BOOL shadowsEnabled;
 @property (nonatomic, readwrite) BOOL multisamplingEnabled;
 @property (nonatomic, copy) NSString *occlusionMode;
+@property (nonatomic, assign) BOOL depthEnabled;
 @property (nonatomic, assign) BOOL depthDebugEnabled;
 @property (nonatomic, copy) NSString *cloudAnchorProvider;
 @property (nonatomic, copy) NSString *geospatialAnchorProvider;
@@ -150,6 +151,81 @@ typedef void (^GeospatialAnchorCompletionHandler)(BOOL success,
 
 - (void)removeGeospatialAnchor:(NSString *)anchorId;
 
+// ReactVision-specific: save GPS anchor to backend (returns platform UUID), no local AR anchor
+- (void)hostGeospatialAnchor:(double)latitude
+                   longitude:(double)longitude
+                    altitude:(double)altitude
+               altitudeMode:(NSString *)altitudeMode
+           completionHandler:(void (^)(BOOL success, NSString * _Nullable platformUuid, NSString * _Nullable error))completionHandler;
+
+// ReactVision-specific: fetch GPS coords from backend by UUID + create local AR anchor
+- (void)resolveGeospatialAnchor:(NSString *)platformUuid
+                      quaternion:(id)quaternion
+              completionHandler:(GeospatialAnchorCompletionHandler)completionHandler;
+
+// ReactVision Geospatial CRUD
+- (void)rvGetGeospatialAnchor:(NSString *)anchorId
+            completionHandler:(void (^)(BOOL success, NSDictionary *anchorData, NSString *error))completionHandler;
+- (void)rvFindNearbyGeospatialAnchors:(double)latitude
+                            longitude:(double)longitude
+                               radius:(double)radius
+                                limit:(int)limit
+                    completionHandler:(void (^)(BOOL success, NSArray *anchors, NSString *error))completionHandler;
+- (void)rvUpdateGeospatialAnchor:(NSString *)anchorId
+                    sceneAssetId:(NSString *)sceneAssetId
+                         sceneId:(NSString *)sceneId
+                            name:(NSString *)name
+                     userAssetId:(NSString *)userAssetId
+               completionHandler:(void (^)(BOOL success, NSDictionary *anchorData, NSString *error))completionHandler;
+- (void)rvUploadAsset:(NSString *)filePath
+            assetType:(NSString *)assetType
+             fileName:(NSString *)fileName
+           appUserId:(NSString *)appUserId
+    completionHandler:(void (^)(BOOL success, NSString *userAssetId, NSString *fileUrl, NSString *error))completionHandler;
+- (void)rvDeleteGeospatialAnchor:(NSString *)anchorId
+               completionHandler:(void (^)(BOOL success, NSString *error))completionHandler;
+- (void)rvListGeospatialAnchors:(int)limit
+                         offset:(int)offset
+              completionHandler:(void (^)(BOOL success, NSArray *anchors, NSString *error))completionHandler;
+
+// Cloud anchor management
+- (void)rvGetCloudAnchor:(NSString *)anchorId
+       completionHandler:(void (^)(BOOL success, NSDictionary *anchorData, NSString *error))completionHandler;
+- (void)rvListCloudAnchors:(int)limit
+                    offset:(int)offset
+         completionHandler:(void (^)(BOOL success, NSArray *anchors, NSString *error))completionHandler;
+- (void)rvUpdateCloudAnchor:(NSString *)anchorId
+                       name:(NSString *)name
+                description:(NSString *)description
+                   isPublic:(BOOL)isPublic
+          completionHandler:(void (^)(BOOL success, NSDictionary *anchorData, NSString *error))completionHandler;
+- (void)rvDeleteCloudAnchor:(NSString *)anchorId
+          completionHandler:(void (^)(BOOL success, NSString *error))completionHandler;
+- (void)rvFindNearbyCloudAnchors:(double)latitude
+                       longitude:(double)longitude
+                          radius:(double)radius
+                           limit:(int)limit
+               completionHandler:(void (^)(BOOL success, NSArray *anchors, NSString *error))completionHandler;
+- (void)rvAttachAssetToCloudAnchor:(NSString *)anchorId
+                           fileUrl:(NSString *)fileUrl
+                          fileSize:(int64_t)fileSize
+                              name:(NSString *)name
+                         assetType:(NSString *)assetType
+                    externalUserId:(NSString *)externalUserId
+                 completionHandler:(void (^)(BOOL success, NSString *error))completionHandler;
+- (void)rvRemoveAssetFromCloudAnchor:(NSString *)anchorId
+                             assetId:(NSString *)assetId
+                   completionHandler:(void (^)(BOOL success, NSString *error))completionHandler;
+- (void)rvTrackCloudAnchorResolution:(NSString *)anchorId
+                             success:(BOOL)success
+                          confidence:(double)confidence
+                          matchCount:(int)matchCount
+                         inlierCount:(int)inlierCount
+                    processingTimeMs:(int)processingTimeMs
+                            platform:(NSString *)platform
+                      externalUserId:(NSString *)externalUserId
+                   completionHandler:(void (^)(BOOL success, NSString *error))completionHandler;
+
 #pragma mark - Scene Semantics API Methods
 
 // Check if Scene Semantics mode is supported on this device
diff --git a/ios/ViroReact/AR/Views/VRTARSceneNavigator.mm b/ios/ViroReact/AR/Views/VRTARSceneNavigator.mm
index f5568c6e..19c82088 100644
--- a/ios/ViroReact/AR/Views/VRTARSceneNavigator.mm
+++ b/ios/ViroReact/AR/Views/VRTARSceneNavigator.mm
@@ -58,6 +58,9 @@ @implementation VRTARSceneNavigator {
     BOOL _pendingWorldMeshEnabled;
     BOOL _needsWorldMeshApply;
     VROWorldMeshConfig _worldMeshConfigCpp;
+
+    // depthEnabled: activate depth sensing without occlusion rendering
+    BOOL _depthEnabled;
 }
 
 - (instancetype)initWithBridge:(RCTBridge *)bridge {
@@ -83,6 +86,7 @@ - (instancetype)initWithBridge:(RCTBridge *)bridge {
         _bloomEnabled = YES;
         _shadowsEnabled = YES;
         _multisamplingEnabled = NO;
+        _depthEnabled = NO;
     }
     return self;
 }
@@ -163,15 +167,12 @@ - (void)didSetProps:(NSArray<NSString *> *)changedProps {
         arSession->setVideoQuality(_vroVideoQuality);
         arSession->setNumberOfTrackedImages(_numberOfTrackedImages);
 
-        // Apply initial occlusion mode if set
-        if (_occlusionMode) {
-            VROOcclusionMode mode = VROOcclusionMode::Disabled;
-            if ([_occlusionMode caseInsensitiveCompare:@"depthBased"] == NSOrderedSame) {
-                mode = VROOcclusionMode::DepthBased;
-            } else if ([_occlusionMode caseInsensitiveCompare:@"peopleOnly"] == NSOrderedSame) {
-                mode = VROOcclusionMode::PeopleOnly;
+        // Apply initial occlusion mode (considers both occlusionMode and depthEnabled)
+        {
+            VROOcclusionMode mode = [self computeEffectiveOcclusionMode];
+            if (mode != VROOcclusionMode::Disabled || _occlusionMode != nil || _depthEnabled) {
+                arSession->setOcclusionMode(mode);
             }
-            arSession->setOcclusionMode(mode);
         }
 
         // Apply initial depth debug setting if set
@@ -479,19 +480,38 @@ - (void)setMultisamplingEnabled:(BOOL)multisamplingEnabled {
     _multisamplingEnabled = multisamplingEnabled;
 }
 
+- (VROOcclusionMode)computeEffectiveOcclusionMode {
+    // Explicit occlusionMode prop always takes precedence.
+    // Guard against nil: in ObjC [nil caseInsensitiveCompare:] returns 0 == NSOrderedSame,
+    // which would incorrectly match "depthBased" when the prop is not set.
+    if (_occlusionMode != nil && [_occlusionMode caseInsensitiveCompare:@"depthBased"] == NSOrderedSame)
+        return VROOcclusionMode::DepthBased;
+    if (_occlusionMode != nil && [_occlusionMode caseInsensitiveCompare:@"peopleOnly"] == NSOrderedSame)
+        return VROOcclusionMode::PeopleOnly;
+    // depthEnabled activates depth sensing without occlusion rendering
+    if (_depthEnabled)
+        return VROOcclusionMode::DepthOnly;
+    return VROOcclusionMode::Disabled;
+}
+
 - (void)setOcclusionMode:(NSString *)occlusionMode {
     _occlusionMode = occlusionMode;
     if (_vroView) {
         VROViewAR *viewAR = (VROViewAR *) _vroView;
         std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
         if (arSession) {
-            VROOcclusionMode mode = VROOcclusionMode::Disabled;
-            if ([occlusionMode caseInsensitiveCompare:@"depthBased"] == NSOrderedSame) {
-                mode = VROOcclusionMode::DepthBased;
-            } else if ([occlusionMode caseInsensitiveCompare:@"peopleOnly"] == NSOrderedSame) {
-                mode = VROOcclusionMode::PeopleOnly;
-            }
-            arSession->setOcclusionMode(mode);
+            arSession->setOcclusionMode([self computeEffectiveOcclusionMode]);
+        }
+    }
+}
+
+- (void)setDepthEnabled:(BOOL)depthEnabled {
+    _depthEnabled = depthEnabled;
+    if (_vroView) {
+        VROViewAR *viewAR = (VROViewAR *) _vroView;
+        std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+        if (arSession) {
+            arSession->setOcclusionMode([self computeEffectiveOcclusionMode]);
         }
     }
 }
@@ -527,6 +547,24 @@ -(VROVector3f) projectPoint:(VROVector3f)point {
     return projectedPoint;
 }
 
+#pragma mark - Cloud Anchor Helpers
+
+/**
+ * Improvement 2: split "message|StateString" encoded by the C++ layer
+ * (encodeError in VROCloudAnchorProviderReactVision.mm) into separate components.
+ * Falls back to [raw, "ErrorInternal"] when the separator is absent (ARCore path).
+ */
+static void splitErrorState(NSString *raw, NSString * __autoreleasing *outMsg, NSString * __autoreleasing *outState) {
+    NSRange sep = [raw rangeOfString:@"|" options:NSBackwardsSearch];
+    if (sep.location != NSNotFound) {
+        *outMsg   = [raw substringToIndex:sep.location];
+        *outState = [raw substringFromIndex:sep.location + 1];
+    } else {
+        *outMsg   = raw;
+        *outState = @"ErrorInternal";
+    }
+}
+
 #pragma mark - Cloud Anchor Methods
 
 - (void)setCloudAnchorProvider:(NSString *)cloudAnchorProvider {
@@ -549,6 +587,19 @@ - (void)setCloudAnchorProvider:(NSString *)cloudAnchorProvider {
                 } else {
                     RCTLogWarn(@"[ViroAR] WARNING: GARAPIKey not found in Info.plist. Cloud anchors will not work!");
                 }
+            } else if ([cloudAnchorProvider caseInsensitiveCompare:@"reactvision"] == NSOrderedSame) {
+                arSession->setCloudAnchorProvider(VROCloudAnchorProvider::ReactVision);
+                RCTLogInfo(@"[ViroAR] ReactVision Cloud Anchors provider enabled");
+
+                // Check if ReactVision credentials are configured
+                NSString *rvApiKey = [[NSBundle mainBundle] objectForInfoDictionaryKey:@"RVApiKey"];
+                NSString *rvProjectId = [[NSBundle mainBundle] objectForInfoDictionaryKey:@"RVProjectId"];
+                if (!rvApiKey || rvApiKey.length == 0) {
+                    RCTLogWarn(@"[ViroAR] WARNING: RVApiKey not found in Info.plist. ReactVision cloud anchors will not work!");
+                }
+                if (!rvProjectId || rvProjectId.length == 0) {
+                    RCTLogWarn(@"[ViroAR] WARNING: RVProjectId not found in Info.plist. ReactVision cloud anchors will not work!");
+                }
             } else {
                 arSession->setCloudAnchorProvider(VROCloudAnchorProvider::None);
                 RCTLogInfo(@"[ViroAR] Cloud Anchors disabled");
@@ -614,10 +665,12 @@ - (void)hostCloudAnchor:(NSString *)anchorId
             }
         },
         [completionHandler](std::string error) {
-            // Failure callback
+            // Failure callback — Improvement 2: parse encoded "|StateString"
             if (completionHandler) {
-                NSString *errorStr = [NSString stringWithUTF8String:error.c_str()];
-                completionHandler(NO, nil, errorStr, @"ErrorInternal");
+                NSString *raw = [NSString stringWithUTF8String:error.c_str()];
+                NSString *msg, *state;
+                splitErrorState(raw, &msg, &state);
+                completionHandler(NO, nil, msg, state);
             }
         }
     );
@@ -665,10 +718,12 @@ - (void)resolveCloudAnchor:(NSString *)cloudAnchorId
             }
         },
         [completionHandler](std::string error) {
-            // Failure callback
+            // Failure callback — Improvement 2: parse encoded "|StateString"
             if (completionHandler) {
-                NSString *errorStr = [NSString stringWithUTF8String:error.c_str()];
-                completionHandler(NO, nil, errorStr, @"ErrorInternal");
+                NSString *raw = [NSString stringWithUTF8String:error.c_str()];
+                NSString *msg, *state;
+                splitErrorState(raw, &msg, &state);
+                completionHandler(NO, nil, msg, state);
             }
         }
     );
@@ -701,6 +756,17 @@ - (void)setGeospatialAnchorProvider:(NSString *)geospatialAnchorProvider {
                 } else {
                     RCTLogWarn(@"[ViroAR] WARNING: GARAPIKey not found in Info.plist. Geospatial features will not work!");
                 }
+            } else if ([geospatialAnchorProvider caseInsensitiveCompare:@"reactvision"] == NSOrderedSame) {
+                arSession->setGeospatialAnchorProvider(VROGeospatialAnchorProvider::ReactVision);
+                RCTLogInfo(@"[ViroAR] ReactVision Geospatial provider enabled");
+
+                // Check that credentials are present in Info.plist
+                NSString *rvApiKey = [[NSBundle mainBundle] objectForInfoDictionaryKey:@"RVApiKey"];
+                if (rvApiKey && rvApiKey.length > 0) {
+                    RCTLogInfo(@"[ViroAR] RVApiKey found in Info.plist");
+                } else {
+                    RCTLogWarn(@"[ViroAR] WARNING: RVApiKey not found in Info.plist. ReactVision Geospatial will not work!");
+                }
             } else {
                 arSession->setGeospatialAnchorProvider(VROGeospatialAnchorProvider::None);
                 RCTLogInfo(@"[ViroAR] Geospatial provider disabled");
@@ -955,6 +1021,76 @@ - (void)createGeospatialAnchor:(double)latitude
     );
 }
 
+- (void)hostGeospatialAnchor:(double)latitude
+                   longitude:(double)longitude
+                    altitude:(double)altitude
+               altitudeMode:(NSString *)altitudeMode
+           completionHandler:(void (^)(BOOL success, NSString *platformUuid, NSString *error))completionHandler {
+    if (!_vroView) {
+        if (completionHandler) completionHandler(NO, nil, @"AR view not initialized");
+        return;
+    }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) {
+        if (completionHandler) completionHandler(NO, nil, @"AR session not available");
+        return;
+    }
+    std::string modeStr = altitudeMode ? std::string([altitudeMode UTF8String]) : "street_level";
+    arSession->hostGeospatialAnchor(latitude, longitude, altitude, modeStr,
+        [completionHandler](std::string platformUuid) {
+            if (completionHandler) {
+                completionHandler(YES, [NSString stringWithUTF8String:platformUuid.c_str()], nil);
+            }
+        },
+        [completionHandler](std::string error) {
+            if (completionHandler) {
+                completionHandler(NO, nil, [NSString stringWithUTF8String:error.c_str()]);
+            }
+        }
+    );
+}
+
+- (void)resolveGeospatialAnchor:(NSString *)platformUuid
+                      quaternion:(id)quaternion
+              completionHandler:(GeospatialAnchorCompletionHandler)completionHandler {
+    if (!_vroView) {
+        if (completionHandler) completionHandler(NO, nil, @"AR view not initialized");
+        return;
+    }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) {
+        if (completionHandler) completionHandler(NO, nil, @"AR session not available");
+        return;
+    }
+    VROQuaternion quat = [self parseQuaternion:quaternion];
+    std::string uuidStr = std::string([platformUuid UTF8String]);
+    arSession->resolveGeospatialAnchor(uuidStr, quat,
+        [completionHandler](std::shared_ptr<VROGeospatialAnchor> anchor) {
+            if (completionHandler) {
+                VROMatrix4f transform = anchor->getTransform();
+                VROVector3f position = transform.extractTranslation();
+                NSDictionary *anchorData = @{
+                    @"anchorId": [NSString stringWithUTF8String:anchor->getId().c_str()],
+                    @"type": @"WGS84",
+                    @"latitude": @(anchor->getLatitude()),
+                    @"longitude": @(anchor->getLongitude()),
+                    @"altitude": @(anchor->getAltitude()),
+                    @"heading": @(anchor->getHeading()),
+                    @"position": @[@(position.x), @(position.y), @(position.z)]
+                };
+                completionHandler(YES, anchorData, nil);
+            }
+        },
+        [completionHandler](std::string error) {
+            if (completionHandler) {
+                completionHandler(NO, nil, [NSString stringWithUTF8String:error.c_str()]);
+            }
+        }
+    );
+}
+
 - (void)createTerrainAnchor:(double)latitude
                   longitude:(double)longitude
         altitudeAboveTerrain:(double)altitudeAboveTerrain
@@ -1068,22 +1204,341 @@ - (void)removeGeospatialAnchor:(NSString *)anchorId {
         return;
     }
 
-    // Find the geospatial anchor by ID and remove it
+    // Geospatial anchors are not in the ARKit frame anchor list (they are GPS-computed,
+    // not ARKit-tracked). Construct a minimal anchor with just the ID and delegate
+    // removal to the session, which uses getId() for the backend API call.
     std::string anchorIdStr = std::string([anchorId UTF8String]);
-    std::unique_ptr<VROARFrame> &frame = arSession->getLastFrame();
-    if (frame) {
-        const std::vector<std::shared_ptr<VROARAnchor>> &anchors = frame->getAnchors();
-        for (const auto &anchor : anchors) {
-            if (anchor->getId() == anchorIdStr) {
-                std::shared_ptr<VROGeospatialAnchor> geoAnchor =
-                    std::dynamic_pointer_cast<VROGeospatialAnchor>(anchor);
-                if (geoAnchor) {
-                    arSession->removeGeospatialAnchor(geoAnchor);
-                    break;
+    auto geoAnchor = std::make_shared<VROGeospatialAnchor>(
+        VROGeospatialAnchorType::WGS84, 0, 0, 0, VROQuaternion());
+    geoAnchor->setId(anchorIdStr);
+    arSession->removeGeospatialAnchor(geoAnchor);
+}
+
+static NSDictionary *rvParseAnchorJson(NSString *json) {
+    NSData *data = [json dataUsingEncoding:NSUTF8StringEncoding];
+    if (!data) return nil;
+    return [NSJSONSerialization JSONObjectWithData:data options:0 error:nil];
+}
+
+static NSArray *rvParseAnchorArrayJson(NSString *json) {
+    NSData *data = [json dataUsingEncoding:NSUTF8StringEncoding];
+    if (!data) return @[];
+    id obj = [NSJSONSerialization JSONObjectWithData:data options:0 error:nil];
+    return [obj isKindOfClass:[NSArray class]] ? obj : @[];
+}
+
+- (void)rvGetGeospatialAnchor:(NSString *)anchorId
+            completionHandler:(void (^)(BOOL success, NSDictionary *anchorData, NSString *error))completionHandler {
+    if (!_vroView) {
+        if (completionHandler) completionHandler(NO, nil, @"AR view not initialized");
+        return;
+    }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) {
+        if (completionHandler) completionHandler(NO, nil, @"AR session not available");
+        return;
+    }
+    arSession->rvGetGeospatialAnchor(
+        std::string([anchorId UTF8String]),
+        [completionHandler](bool success, std::string jsonData, std::string error) {
+            if (completionHandler) {
+                if (success) {
+                    NSString *jsonStr = [NSString stringWithUTF8String:jsonData.c_str()];
+                    completionHandler(YES, rvParseAnchorJson(jsonStr), nil);
+                } else {
+                    completionHandler(NO, nil, [NSString stringWithUTF8String:error.c_str()]);
                 }
             }
-        }
+        });
+}
+
+- (void)rvFindNearbyGeospatialAnchors:(double)latitude
+                            longitude:(double)longitude
+                               radius:(double)radius
+                                limit:(int)limit
+                    completionHandler:(void (^)(BOOL success, NSArray *anchors, NSString *error))completionHandler {
+    if (!_vroView) {
+        if (completionHandler) completionHandler(NO, @[], @"AR view not initialized");
+        return;
+    }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) {
+        if (completionHandler) completionHandler(NO, @[], @"AR session not available");
+        return;
+    }
+    arSession->rvFindNearbyGeospatialAnchors(latitude, longitude, radius, limit,
+        [completionHandler](bool success, std::string jsonData, std::string error) {
+            if (completionHandler) {
+                if (success) {
+                    NSString *jsonStr = [NSString stringWithUTF8String:jsonData.c_str()];
+                    completionHandler(YES, rvParseAnchorArrayJson(jsonStr), nil);
+                } else {
+                    completionHandler(NO, @[], [NSString stringWithUTF8String:error.c_str()]);
+                }
+            }
+        });
+}
+
+- (void)rvUpdateGeospatialAnchor:(NSString *)anchorId
+                    sceneAssetId:(NSString *)sceneAssetId
+                         sceneId:(NSString *)sceneId
+                            name:(NSString *)name
+                     userAssetId:(NSString *)userAssetId
+               completionHandler:(void (^)(BOOL success, NSDictionary *anchorData, NSString *error))completionHandler {
+    if (!_vroView) {
+        if (completionHandler) completionHandler(NO, nil, @"AR view not initialized");
+        return;
+    }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) {
+        if (completionHandler) completionHandler(NO, nil, @"AR session not available");
+        return;
+    }
+    arSession->rvUpdateGeospatialAnchor(
+        std::string([anchorId UTF8String]),
+        sceneAssetId ? std::string([sceneAssetId UTF8String]) : "",
+        sceneId      ? std::string([sceneId UTF8String])      : "",
+        name         ? std::string([name UTF8String])         : "",
+        userAssetId  ? std::string([userAssetId UTF8String])  : "",
+        [completionHandler](bool success, std::string jsonData, std::string error) {
+            if (completionHandler) {
+                if (success) {
+                    NSString *jsonStr = [NSString stringWithUTF8String:jsonData.c_str()];
+                    completionHandler(YES, rvParseAnchorJson(jsonStr), nil);
+                } else {
+                    completionHandler(NO, nil, [NSString stringWithUTF8String:error.c_str()]);
+                }
+            }
+        });
+}
+
+- (void)rvUploadAsset:(NSString *)filePath
+            assetType:(NSString *)assetType
+             fileName:(NSString *)fileName
+           appUserId:(NSString *)appUserId
+    completionHandler:(void (^)(BOOL success, NSString *userAssetId, NSString *fileUrl, NSString *error))completionHandler {
+    if (!_vroView) {
+        if (completionHandler) completionHandler(NO, nil, nil, @"AR view not initialized");
+        return;
+    }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) {
+        if (completionHandler) completionHandler(NO, nil, nil, @"AR session not available");
+        return;
+    }
+    arSession->rvUploadAsset(
+        std::string([filePath UTF8String]),
+        assetType  ? std::string([assetType UTF8String])  : "",
+        fileName   ? std::string([fileName UTF8String])   : "",
+        appUserId  ? std::string([appUserId UTF8String])  : "",
+        [completionHandler](bool success, std::string assetId, std::string fileUrl, std::string error) {
+            if (completionHandler) {
+                if (success) {
+                    completionHandler(YES,
+                        [NSString stringWithUTF8String:assetId.c_str()],
+                        [NSString stringWithUTF8String:fileUrl.c_str()],
+                        nil);
+                } else {
+                    completionHandler(NO, nil, nil, [NSString stringWithUTF8String:error.c_str()]);
+                }
+            }
+        });
+}
+
+- (void)rvDeleteGeospatialAnchor:(NSString *)anchorId
+               completionHandler:(void (^)(BOOL success, NSString *error))completionHandler {
+    if (!_vroView) {
+        if (completionHandler) completionHandler(NO, @"AR view not initialized");
+        return;
+    }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) {
+        if (completionHandler) completionHandler(NO, @"AR session not available");
+        return;
     }
+    arSession->rvDeleteGeospatialAnchor(
+        std::string([anchorId UTF8String]),
+        [completionHandler](bool success, std::string error) {
+            if (completionHandler) {
+                completionHandler(success, success ? nil : [NSString stringWithUTF8String:error.c_str()]);
+            }
+        });
+}
+
+- (void)rvListGeospatialAnchors:(int)limit
+                         offset:(int)offset
+              completionHandler:(void (^)(BOOL, NSArray *, NSString *))completionHandler {
+    if (!_vroView) { if (completionHandler) completionHandler(NO, @[], @"AR view not initialized"); return; }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) { if (completionHandler) completionHandler(NO, @[], @"AR session not available"); return; }
+    arSession->rvListGeospatialAnchors(limit, offset,
+        [completionHandler](bool success, std::string jsonData, std::string error) {
+            if (completionHandler) {
+                NSString *jsonStr = [NSString stringWithUTF8String:jsonData.c_str()];
+                completionHandler(success, success ? rvParseAnchorArrayJson(jsonStr) : @[],
+                    success ? nil : [NSString stringWithUTF8String:error.c_str()]);
+            }
+        });
+}
+
+// ── Cloud anchor management ───────────────────────────────────────────────────
+
+- (void)rvGetCloudAnchor:(NSString *)anchorId
+       completionHandler:(void (^)(BOOL, NSDictionary *, NSString *))completionHandler {
+    if (!_vroView) { if (completionHandler) completionHandler(NO, nil, @"AR view not initialized"); return; }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) { if (completionHandler) completionHandler(NO, nil, @"AR session not available"); return; }
+    arSession->rvGetCloudAnchor(std::string([anchorId UTF8String]),
+        [completionHandler](bool success, std::string jsonData, std::string error) {
+            if (completionHandler) {
+                NSString *jsonStr = [NSString stringWithUTF8String:jsonData.c_str()];
+                completionHandler(success, success ? rvParseAnchorJson(jsonStr) : nil,
+                    success ? nil : [NSString stringWithUTF8String:error.c_str()]);
+            }
+        });
+}
+
+- (void)rvListCloudAnchors:(int)limit
+                    offset:(int)offset
+         completionHandler:(void (^)(BOOL, NSArray *, NSString *))completionHandler {
+    if (!_vroView) { if (completionHandler) completionHandler(NO, @[], @"AR view not initialized"); return; }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) { if (completionHandler) completionHandler(NO, @[], @"AR session not available"); return; }
+    arSession->rvListCloudAnchors(limit, offset,
+        [completionHandler](bool success, std::string jsonData, std::string error) {
+            if (completionHandler) {
+                NSString *jsonStr = [NSString stringWithUTF8String:jsonData.c_str()];
+                completionHandler(success, success ? rvParseAnchorArrayJson(jsonStr) : @[],
+                    success ? nil : [NSString stringWithUTF8String:error.c_str()]);
+            }
+        });
+}
+
+- (void)rvUpdateCloudAnchor:(NSString *)anchorId
+                       name:(NSString *)name
+                description:(NSString *)description
+                   isPublic:(BOOL)isPublic
+          completionHandler:(void (^)(BOOL, NSDictionary *, NSString *))completionHandler {
+    if (!_vroView) { if (completionHandler) completionHandler(NO, nil, @"AR view not initialized"); return; }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) { if (completionHandler) completionHandler(NO, nil, @"AR session not available"); return; }
+    arSession->rvUpdateCloudAnchor(
+        std::string([anchorId UTF8String]),
+        name        ? std::string([name UTF8String])        : "",
+        description ? std::string([description UTF8String]) : "",
+        (bool)isPublic,
+        [completionHandler](bool success, std::string jsonData, std::string error) {
+            if (completionHandler) {
+                NSString *jsonStr = [NSString stringWithUTF8String:jsonData.c_str()];
+                completionHandler(success, success ? rvParseAnchorJson(jsonStr) : nil,
+                    success ? nil : [NSString stringWithUTF8String:error.c_str()]);
+            }
+        });
+}
+
+- (void)rvDeleteCloudAnchor:(NSString *)anchorId
+          completionHandler:(void (^)(BOOL, NSString *))completionHandler {
+    if (!_vroView) { if (completionHandler) completionHandler(NO, @"AR view not initialized"); return; }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) { if (completionHandler) completionHandler(NO, @"AR session not available"); return; }
+    arSession->rvDeleteCloudAnchor(std::string([anchorId UTF8String]),
+        [completionHandler](bool success, std::string error) {
+            if (completionHandler)
+                completionHandler(success, success ? nil : [NSString stringWithUTF8String:error.c_str()]);
+        });
+}
+
+- (void)rvFindNearbyCloudAnchors:(double)latitude
+                       longitude:(double)longitude
+                          radius:(double)radius
+                           limit:(int)limit
+               completionHandler:(void (^)(BOOL, NSArray *, NSString *))completionHandler {
+    if (!_vroView) { if (completionHandler) completionHandler(NO, @[], @"AR view not initialized"); return; }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) { if (completionHandler) completionHandler(NO, @[], @"AR session not available"); return; }
+    arSession->rvFindNearbyCloudAnchors(latitude, longitude, radius, limit,
+        [completionHandler](bool success, std::string jsonData, std::string error) {
+            if (completionHandler) {
+                NSString *jsonStr = [NSString stringWithUTF8String:jsonData.c_str()];
+                completionHandler(success, success ? rvParseAnchorArrayJson(jsonStr) : @[],
+                    success ? nil : [NSString stringWithUTF8String:error.c_str()]);
+            }
+        });
+}
+
+- (void)rvAttachAssetToCloudAnchor:(NSString *)anchorId
+                           fileUrl:(NSString *)fileUrl
+                          fileSize:(int64_t)fileSize
+                              name:(NSString *)name
+                         assetType:(NSString *)assetType
+                    externalUserId:(NSString *)externalUserId
+                 completionHandler:(void (^)(BOOL, NSString *))completionHandler {
+    if (!_vroView) { if (completionHandler) completionHandler(NO, @"AR view not initialized"); return; }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) { if (completionHandler) completionHandler(NO, @"AR session not available"); return; }
+    arSession->rvAttachAssetToCloudAnchor(
+        std::string([anchorId UTF8String]),
+        std::string([fileUrl UTF8String]),
+        fileSize,
+        name           ? std::string([name UTF8String])           : "",
+        assetType      ? std::string([assetType UTF8String])      : "",
+        externalUserId ? std::string([externalUserId UTF8String]) : "",
+        [completionHandler](bool success, std::string error) {
+            if (completionHandler)
+                completionHandler(success, success ? nil : [NSString stringWithUTF8String:error.c_str()]);
+        });
+}
+
+- (void)rvRemoveAssetFromCloudAnchor:(NSString *)anchorId
+                             assetId:(NSString *)assetId
+                   completionHandler:(void (^)(BOOL, NSString *))completionHandler {
+    if (!_vroView) { if (completionHandler) completionHandler(NO, @"AR view not initialized"); return; }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) { if (completionHandler) completionHandler(NO, @"AR session not available"); return; }
+    arSession->rvRemoveAssetFromCloudAnchor(
+        std::string([anchorId UTF8String]),
+        std::string([assetId UTF8String]),
+        [completionHandler](bool success, std::string error) {
+            if (completionHandler)
+                completionHandler(success, success ? nil : [NSString stringWithUTF8String:error.c_str()]);
+        });
+}
+
+- (void)rvTrackCloudAnchorResolution:(NSString *)anchorId
+                             success:(BOOL)success
+                          confidence:(double)confidence
+                          matchCount:(int)matchCount
+                         inlierCount:(int)inlierCount
+                    processingTimeMs:(int)processingTimeMs
+                            platform:(NSString *)platform
+                      externalUserId:(NSString *)externalUserId
+                   completionHandler:(void (^)(BOOL, NSString *))completionHandler {
+    if (!_vroView) { if (completionHandler) completionHandler(NO, @"AR view not initialized"); return; }
+    VROViewAR *viewAR = (VROViewAR *) _vroView;
+    std::shared_ptr<VROARSession> arSession = [viewAR getARSession];
+    if (!arSession) { if (completionHandler) completionHandler(NO, @"AR session not available"); return; }
+    arSession->rvTrackCloudAnchorResolution(
+        std::string([anchorId UTF8String]),
+        (bool)success, confidence, matchCount, inlierCount, processingTimeMs,
+        platform       ? std::string([platform UTF8String])       : "",
+        externalUserId ? std::string([externalUserId UTF8String]) : "",
+        [completionHandler](bool ok, std::string error) {
+            if (completionHandler)
+                completionHandler(ok, ok ? nil : [NSString stringWithUTF8String:error.c_str()]);
+        });
 }
 
 #pragma mark - Scene Semantics API Methods
diff --git a/ios/ViroReact/Modules/VRTMaterialManager.mm b/ios/ViroReact/Modules/VRTMaterialManager.mm
index 15d98de6..e9134bf1 100644
--- a/ios/ViroReact/Modules/VRTMaterialManager.mm
+++ b/ios/ViroReact/Modules/VRTMaterialManager.mm
@@ -405,6 +405,9 @@ - (MaterialWrapper *)createMaterial:(NSDictionary *)material name:(NSString *)ma
                     
                     // Handle both string and dictionary formats
                     NSString *modifierCode;
+                    NSArray *varyingsArray = nil;
+                    BOOL requiresSceneDepth = NO;
+                    BOOL requiresCameraTexture = NO;
                     if ([modifierValue isKindOfClass:[NSString class]]) {
                         modifierCode = (NSString *)modifierValue;
                     } else if ([modifierValue isKindOfClass:[NSDictionary class]]) {
@@ -416,24 +419,57 @@ - (MaterialWrapper *)createMaterial:(NSDictionary *)material name:(NSString *)ma
                         } else {
                             modifierCode = body;
                         }
-                        
+
                         if (!modifierCode) {
                             RCTLogError(@"Shader modifier dictionary must contain 'body' or 'uniforms' key");
                             continue;
                         }
+
+                        // Extract varyings if present
+                        if (modifierDict[@"varyings"] && [modifierDict[@"varyings"] isKindOfClass:[NSArray class]]) {
+                            varyingsArray = (NSArray *)modifierDict[@"varyings"];
+                        }
+
+                        // Extract requiresSceneDepth flag
+                        if (modifierDict[@"requiresSceneDepth"]) {
+                            requiresSceneDepth = [modifierDict[@"requiresSceneDepth"] boolValue];
+                        }
+                        // Extract requiresCameraTexture flag
+                        if (modifierDict[@"requiresCameraTexture"]) {
+                            requiresCameraTexture = [modifierDict[@"requiresCameraTexture"] boolValue];
+                        }
                     } else {
                         RCTLogError(@"Shader modifier must be string or dictionary with 'body' key");
                         continue;
                     }
-                    
+
                     VROShaderEntryPoint entryPoint = [self convertEntryPoint:entryPointName];
                     NSArray *lines = [modifierCode componentsSeparatedByString:@"\n"];
                     std::vector<std::string> linesVec;
                     for (NSString *line in lines) {
                         linesVec.push_back(std::string([line UTF8String]));
                     }
-                    
+
                     auto modifier = std::make_shared<VROShaderModifier>(entryPoint, linesVec);
+
+                    // Set varyings if present
+                    if (varyingsArray && varyingsArray.count > 0) {
+                        std::vector<std::string> varyings;
+                        for (NSString *varying in varyingsArray) {
+                            varyings.push_back(std::string([varying UTF8String]));
+                        }
+                        modifier->setVaryings(varyings);
+                    }
+
+                    // Set requiresSceneDepth if flagged
+                    if (requiresSceneDepth) {
+                        modifier->setRequiresSceneDepth(true);
+                    }
+                    // Set requiresCameraTexture if flagged
+                    if (requiresCameraTexture) {
+                        modifier->setRequiresCameraTexture(true);
+                    }
+
                     vroMaterial->addShaderModifier(modifier);
                 }
             } else if ([@"materialUniforms" caseInsensitiveCompare:materialPropertyName] == NSOrderedSame ||
@@ -479,6 +515,11 @@ - (void)setUniformForMaterial:(std::shared_ptr<VROMaterial>)vroMaterial
         }
     } else if ([type isEqualToString:@"mat4"]) {
         // TODO: parse matrix
+    } else if ([type isEqualToString:@"sampler2D"]) {
+        std::shared_ptr<VROTexture> texture = [self createTexture2D:value sRGB:YES];
+        if (texture) {
+            vroMaterial->setShaderUniform(std::string([name UTF8String]), texture);
+        }
     }
 }
 
diff --git a/ios/ViroReact/Views/VRT3DObject.mm b/ios/ViroReact/Views/VRT3DObject.mm
index 43b1d44f..b1d17c09 100644
--- a/ios/ViroReact/Views/VRT3DObject.mm
+++ b/ios/ViroReact/Views/VRT3DObject.mm
@@ -214,7 +214,8 @@ - (void)didSetProps:(NSArray<NSString *> *)changedProps {
             [strongSelf setMorphTargets:strongSelf->_morphTargets];
 
             if (strongSelf.materials) {
-                // Apply materials recursively to all child geometries in the loaded model
+                // Apply materials recursively so child geometry nodes (sub-meshes) of the model
+                // also receive the rendering properties, but textures are preserved via merge logic.
                 [strongSelf applyMaterialsRecursive:YES];
             }
 
diff --git a/ios/ViroReact/Views/VRTNode.mm b/ios/ViroReact/Views/VRTNode.mm
index 93d9fdec..4a9a4aea 100644
--- a/ios/ViroReact/Views/VRTNode.mm
+++ b/ios/ViroReact/Views/VRTNode.mm
@@ -91,9 +91,12 @@ @interface VRTNode () {
     // Store original embedded materials from GLB before any shader overrides
     // This allows us to always start from the true baseline when switching shaders
     std::vector<std::shared_ptr<VROMaterial>> _originalEmbeddedMaterials;
-    // Store original materials for child nodes (to preserve skinning modifiers, etc.)
+    // Store original materials for child nodes (used by applyShaderOverridesRecursive:)
     // Maps node pointer to its original materials vector
     std::unordered_map<VRONode*, std::vector<std::shared_ptr<VROMaterial>>> _childNodeOriginalMaterials;
+    // Store original embedded materials for child nodes used by applyMaterialsRecursive:
+    // Kept separate from _childNodeOriginalMaterials to avoid interference with shader overrides
+    std::unordered_map<VRONode*, std::vector<std::shared_ptr<VROMaterial>>> _childNodeMaterialMergeOriginals;
 }
 // Track shader override materials and their clones for uniform updates
 @property (nonatomic, strong) NSMutableDictionary<NSString *, NSMutableArray *> *shaderOverrideMap;
@@ -684,46 +687,61 @@ - (void)applyMaterialsRecursive:(BOOL)recursive {
 
     [self updateVideoTextures];
 
-    // Recursively apply materials to all child nodes if requested
-    if (recursive) {
+    // Recursively merge material rendering properties onto child node embedded materials.
+    // This preserves embedded textures and skinning modifiers while applying user-specified
+    // rendering settings (lighting model, bloom, blend mode, etc.) from the first override material.
+    if (recursive && self.materials && self.materials.count > 0) {
         VRTMaterialManager *materialManager = [self.bridge moduleForClass:[VRTMaterialManager class]];
-        std::vector<std::shared_ptr<VROMaterial>> tempMaterials;
+        NSString *firstMaterialName = self.materials[0];
+        std::shared_ptr<VROMaterial> overrideMaterial = [materialManager getMaterialByName:firstMaterialName];
+
+        if (overrideMaterial) {
+            std::function<void(std::shared_ptr<VRONode>)> applyToChildren = [&](std::shared_ptr<VRONode> node) {
+                for (std::shared_ptr<VRONode> child : node->getChildNodes()) {
+                    std::shared_ptr<VROGeometry> childGeometry = child->getGeometry();
+                    if (childGeometry) {
+                        VRONode *childPtr = child.get();
+                        std::vector<std::shared_ptr<VROMaterial>> childOriginalMaterials;
+
+                        // Save original embedded materials on first call; use stored ones thereafter
+                        if (_childNodeMaterialMergeOriginals.find(childPtr) == _childNodeMaterialMergeOriginals.end()) {
+                            childOriginalMaterials = childGeometry->getMaterials();
+                            if (!childOriginalMaterials.empty()) {
+                                _childNodeMaterialMergeOriginals[childPtr] = childOriginalMaterials;
+                            }
+                        } else {
+                            childOriginalMaterials = _childNodeMaterialMergeOriginals[childPtr];
+                        }
 
-        if (self.materials) {
-            // Build materials list from material names - always copy
-            for (int i = 0; i < self.materials.count; i++) {
-                NSString *materialName = [self.materials objectAtIndex:i];
-                std::shared_ptr<VROMaterial> sourceMaterial = [materialManager getMaterialByName:materialName];
-                if (sourceMaterial) {
-                    // Always copy to prevent state persistence
-                    tempMaterials.push_back(std::make_shared<VROMaterial>(sourceMaterial));
-                }
-            }
-        } else {
-            // No materials - use default empty material for cleanup
-            tempMaterials.push_back(std::make_shared<VROMaterial>());
-        }
+                        if (!childOriginalMaterials.empty()) {
+                            std::vector<std::shared_ptr<VROMaterial>> mergedChildMaterials;
+                            for (const auto &originalMat : childOriginalMaterials) {
+                                // Copy embedded material — preserves textures and skinning modifiers
+                                std::shared_ptr<VROMaterial> mergedMat = std::make_shared<VROMaterial>(originalMat);
 
-        // Apply to all child nodes recursively
-        std::function<void(std::shared_ptr<VRONode>)> applyToChildren = [&](std::shared_ptr<VRONode> node) {
-            for (std::shared_ptr<VRONode> child : node->getChildNodes()) {
-                std::shared_ptr<VROGeometry> childGeometry = child->getGeometry();
-                if (childGeometry) {
-                    // Always create fresh copies for each child geometry
-                    std::vector<std::shared_ptr<VROMaterial>> childMaterials;
-                    for (const auto &mat : tempMaterials) {
-                        childMaterials.push_back(std::make_shared<VROMaterial>(mat));
+                                // Apply rendering properties from the user override only (NOT colors/textures)
+                                mergedMat->setLightingModel(overrideMaterial->getLightingModel());
+                                mergedMat->setBloomThreshold(overrideMaterial->getBloomThreshold());
+                                mergedMat->setShininess(overrideMaterial->getShininess());
+                                mergedMat->setBlendMode(overrideMaterial->getBlendMode());
+                                mergedMat->setTransparencyMode(overrideMaterial->getTransparencyMode());
+                                mergedMat->setCullMode(overrideMaterial->getCullMode());
+                                mergedMat->setWritesToDepthBuffer(overrideMaterial->getWritesToDepthBuffer());
+                                mergedMat->setReadsFromDepthBuffer(overrideMaterial->getReadsFromDepthBuffer());
+
+                                mergedChildMaterials.push_back(mergedMat);
+                            }
+                            childGeometry->setMaterials(mergedChildMaterials);
+                            childGeometry->updateSubstrate();
+                        }
                     }
-                    childGeometry->setMaterials(childMaterials);
-                    // Force geometry substrate to reset
-                    childGeometry->updateSubstrate();
+                    // Recurse to grandchildren
+                    applyToChildren(child);
                 }
-                // Recurse to grandchildren
-                applyToChildren(child);
-            }
-        };
+            };
 
-        applyToChildren(self.node);
+            applyToChildren(self.node);
+        }
     }
 }
 
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/ARCoreCoreMLSemanticsResources.bundle/Info.plist b/ios/dist/ViroRenderer/ViroKit.framework/ARCoreCoreMLSemanticsResources.bundle/Info.plist
index 2eaf6527..6e21c5a9 100644
Binary files a/ios/dist/ViroRenderer/ViroKit.framework/ARCoreCoreMLSemanticsResources.bundle/Info.plist and b/ios/dist/ViroRenderer/ViroKit.framework/ARCoreCoreMLSemanticsResources.bundle/Info.plist differ
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/ARCoreResources.bundle/Info.plist b/ios/dist/ViroRenderer/ViroKit.framework/ARCoreResources.bundle/Info.plist
index 5ea2d1e0..631d814f 100644
Binary files a/ios/dist/ViroRenderer/ViroKit.framework/ARCoreResources.bundle/Info.plist and b/ios/dist/ViroRenderer/ViroKit.framework/ARCoreResources.bundle/Info.plist differ
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/Info.plist b/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/Info.plist
deleted file mode 100755
index 53ec6552..00000000
--- a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/Info.plist
+++ /dev/null
@@ -1,8 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-	<key>CFBundleIdentifier</key>
-	<string>com.generic.bundleidentifier</string>
-</dict>
-</plist>
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/ar.lproj/CardboardSDK.strings b/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/ar.lproj/CardboardSDK.strings
deleted file mode 100755
index cdf62aa9..00000000
Binary files a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/ar.lproj/CardboardSDK.strings and /dev/null differ
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/arrowRight.png b/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/arrowRight.png
deleted file mode 100755
index 90c573a9..00000000
Binary files a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/arrowRight.png and /dev/null differ
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/ca.lproj/CardboardSDK.strings b/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/ca.lproj/CardboardSDK.strings
deleted file mode 100755
index 28b26063..00000000
Binary files a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/ca.lproj/CardboardSDK.strings and /dev/null differ
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/cardboardLogotype.png b/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/cardboardLogotype.png
deleted file mode 100755
index 207c086a..00000000
Binary files a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/cardboardLogotype.png and /dev/null differ
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/continueButton.png b/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/continueButton.png
deleted file mode 100755
index e84d29f6..00000000
Binary files a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/continueButton.png and /dev/null differ
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/cs.lproj/CardboardSDK.strings b/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/cs.lproj/CardboardSDK.strings
deleted file mode 100755
index 76b30855..00000000
Binary files a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/cs.lproj/CardboardSDK.strings and /dev/null differ
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/da.lproj/CardboardSDK.strings b/ios/dist/ViroRenderer/ViroKit.framework/CardboardSDK.bundle/da.lproj/CardboardSDK.strings
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diff --git a/ios/dist/ViroRenderer/ViroKit.framework/DepthPro.mlmodelc/analytics/coremldata.bin b/ios/dist/ViroRenderer/ViroKit.framework/DepthPro.mlmodelc/analytics/coremldata.bin
deleted file mode 100644
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diff --git a/ios/dist/ViroRenderer/ViroKit.framework/DepthPro.mlmodelc/coremldata.bin b/ios/dist/ViroRenderer/ViroKit.framework/DepthPro.mlmodelc/coremldata.bin
deleted file mode 100644
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diff --git a/ios/dist/ViroRenderer/ViroKit.framework/DepthPro.mlmodelc/metadata.json b/ios/dist/ViroRenderer/ViroKit.framework/DepthPro.mlmodelc/metadata.json
deleted file mode 100644
index 616d319b..00000000
--- a/ios/dist/ViroRenderer/ViroKit.framework/DepthPro.mlmodelc/metadata.json
+++ /dev/null
@@ -1,83 +0,0 @@
-[
-  {
-    "shortDescription" : "Depth Anything V2 vits (with ImageNet normalization)",
-    "metadataOutputVersion" : "3.0",
-    "outputSchema" : [
-      {
-        "hasShapeFlexibility" : "0",
-        "isOptional" : "0",
-        "dataType" : "Float32",
-        "formattedType" : "MultiArray (Float32 1 × 518 × 518)",
-        "shortDescription" : "",
-        "shape" : "[1, 518, 518]",
-        "name" : "depth",
-        "type" : "MultiArray"
-      }
-    ],
-    "version" : "2.0",
-    "modelParameters" : [
-
-    ],
-    "author" : "TikTok \/ Depth Anything Team",
-    "specificationVersion" : 6,
-    "storagePrecision" : "Float16",
-    "mlProgramOperationTypeHistogram" : {
-      "Concat" : 1,
-      "Linear" : 48,
-      "SliceByIndex" : 40,
-      "LayerNorm" : 28,
-      "Transpose" : 29,
-      "Matmul" : 24,
-      "Sub" : 1,
-      "Gelu" : 12,
-      "UpsampleBilinear" : 5,
-      "Softmax" : 12,
-      "Mul" : 38,
-      "Cast" : 2,
-      "Reshape" : 29,
-      "Add" : 35,
-      "ConvTranspose" : 2,
-      "Relu" : 16,
-      "Squeeze" : 1,
-      "Conv" : 31
-    },
-    "computePrecision" : "Mixed (Float16, Float32, Int32)",
-    "stateSchema" : [
-
-    ],
-    "isUpdatable" : "0",
-    "availability" : {
-      "macOS" : "12.0",
-      "tvOS" : "15.0",
-      "visionOS" : "1.0",
-      "watchOS" : "8.0",
-      "iOS" : "15.0",
-      "macCatalyst" : "15.0"
-    },
-    "modelType" : {
-      "name" : "MLModelType_mlProgram"
-    },
-    "inputSchema" : [
-      {
-        "height" : "518",
-        "colorspace" : "RGB",
-        "isOptional" : "0",
-        "width" : "518",
-        "isColor" : "1",
-        "formattedType" : "Image (Color 518 × 518)",
-        "hasSizeFlexibility" : "0",
-        "type" : "Image",
-        "shortDescription" : "",
-        "name" : "image"
-      }
-    ],
-    "userDefinedMetadata" : {
-      "com.github.apple.coremltools.conversion_date" : "2026-01-30",
-      "com.github.apple.coremltools.source" : "torch==2.7.0",
-      "com.github.apple.coremltools.version" : "9.0",
-      "com.github.apple.coremltools.source_dialect" : "TorchScript"
-    },
-    "generatedClassName" : "DepthAnythingV2",
-    "method" : "predict"
-  }
-]
\ No newline at end of file
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/DepthPro.mlmodelc/model.mil b/ios/dist/ViroRenderer/ViroKit.framework/DepthPro.mlmodelc/model.mil
deleted file mode 100644
index 7a70ac5a..00000000
--- a/ios/dist/ViroRenderer/ViroKit.framework/DepthPro.mlmodelc/model.mil
+++ /dev/null
@@ -1,1100 +0,0 @@
-program(1.0)
-[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3510.2.1"}, {"coremlc-version", "3500.32.1"}, {"coremltools-component-torch", "2.7.0"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "9.0"}})]
-{
-    func main<ios15>(tensor<fp32, [1, 3, 518, 518]> image) {
-            tensor<fp32, []> image__scaled___y_0 = const()[name = tensor<string, []>("image__scaled___y_0"), val = tensor<fp32, []>(0x1.010102p-8)];
-            tensor<fp32, [1, 3, 518, 518]> image__scaled__ = mul(x = image, y = image__scaled___y_0)[name = tensor<string, []>("image__scaled__")];
-            tensor<string, []> image_to_fp16_dtype_0 = const()[name = tensor<string, []>("image_to_fp16_dtype_0"), val = tensor<string, []>("fp16")];
-            tensor<fp16, [1, 3, 1, 1]> mean_to_fp16 = const()[name = tensor<string, []>("mean_to_fp16"), val = tensor<fp16, [1, 3, 1, 1]>([[[[0x1.f0cp-2]], [[0x1.d3p-2]], [[0x1.9fcp-2]]]])];
-            tensor<fp16, [1, 3, 518, 518]> image_to_fp16 = cast(dtype = image_to_fp16_dtype_0, x = image__scaled__)[name = tensor<string, []>("cast_32")];
-            tensor<fp16, [1, 3, 518, 518]> var_6_cast_fp16 = sub(x = image_to_fp16, y = mean_to_fp16)[name = tensor<string, []>("op_6_cast_fp16")];
-            tensor<fp16, [1, 3, 1, 1]> _inversed_x_3_y_0_to_fp16 = const()[name = tensor<string, []>("_inversed_x_3_y_0_to_fp16"), val = tensor<fp16, [1, 3, 1, 1]>([[[[0x1.178p+2]], [[0x1.1dcp+2]], [[0x1.1c8p+2]]]])];
-            tensor<fp16, [1, 3, 518, 518]> _inversed_x_3_cast_fp16 = mul(x = var_6_cast_fp16, y = _inversed_x_3_y_0_to_fp16)[name = tensor<string, []>("_inversed_x_3_cast_fp16")];
-            tensor<int32, []> var_22 = const()[name = tensor<string, []>("op_22"), val = tensor<int32, []>(1)];
-            tensor<int32, []> var_25 = const()[name = tensor<string, []>("op_25"), val = tensor<int32, []>(-1)];
-            tensor<string, []> x_5_pad_type_0 = const()[name = tensor<string, []>("x_5_pad_type_0"), val = tensor<string, []>("valid")];
-            tensor<int32, [2]> x_5_strides_0 = const()[name = tensor<string, []>("x_5_strides_0"), val = tensor<int32, [2]>([14, 14])];
-            tensor<int32, [4]> x_5_pad_0 = const()[name = tensor<string, []>("x_5_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
-            tensor<int32, [2]> x_5_dilations_0 = const()[name = tensor<string, []>("x_5_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> x_5_groups_0 = const()[name = tensor<string, []>("x_5_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [384, 3, 14, 14]> model_pretrained_patch_embed_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_patch_embed_proj_weight_to_fp16"), val = tensor<fp16, [384, 3, 14, 14]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(64)))];
-            tensor<fp16, [384]> model_pretrained_patch_embed_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_patch_embed_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(451712)))];
-            tensor<fp16, [1, 384, 37, 37]> x_5_cast_fp16 = conv(bias = model_pretrained_patch_embed_proj_bias_to_fp16, dilations = x_5_dilations_0, groups = x_5_groups_0, pad = x_5_pad_0, pad_type = x_5_pad_type_0, strides = x_5_strides_0, weight = model_pretrained_patch_embed_proj_weight_to_fp16, x = _inversed_x_3_cast_fp16)[name = tensor<string, []>("x_5_cast_fp16")];
-            tensor<int32, [3]> concat_0 = const()[name = tensor<string, []>("concat_0"), val = tensor<int32, [3]>([1, 384, 1369])];
-            tensor<fp16, [1, 384, 1369]> var_96_cast_fp16 = reshape(shape = concat_0, x = x_5_cast_fp16)[name = tensor<string, []>("op_96_cast_fp16")];
-            tensor<int32, [3]> x_7_perm_0 = const()[name = tensor<string, []>("x_7_perm_0"), val = tensor<int32, [3]>([0, 2, 1])];
-            tensor<bool, []> x_9_interleave_0 = const()[name = tensor<string, []>("x_9_interleave_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 1, 384]> model_pretrained_cls_token_to_fp16 = const()[name = tensor<string, []>("model_pretrained_cls_token_to_fp16"), val = tensor<fp16, [1, 1, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(452544)))];
-            tensor<fp16, [1, 1369, 384]> x_7_cast_fp16 = transpose(perm = x_7_perm_0, x = var_96_cast_fp16)[name = tensor<string, []>("transpose_28")];
-            tensor<fp16, [1, 1370, 384]> x_9_cast_fp16 = concat(axis = var_22, interleave = x_9_interleave_0, values = (model_pretrained_cls_token_to_fp16, x_7_cast_fp16))[name = tensor<string, []>("x_9_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> model_pretrained_pos_embed_to_fp16 = const()[name = tensor<string, []>("model_pretrained_pos_embed_to_fp16"), val = tensor<fp16, [1, 1370, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(453376)))];
-            tensor<fp16, [1, 1370, 384]> input_1_cast_fp16 = add(x = x_9_cast_fp16, y = model_pretrained_pos_embed_to_fp16)[name = tensor<string, []>("input_1_cast_fp16")];
-            tensor<int32, [1]> x_11_axes_0 = const()[name = tensor<string, []>("x_11_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_0_norm1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_norm1_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1505600)))];
-            tensor<fp16, [384]> model_pretrained_blocks_0_norm1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_norm1_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1506432)))];
-            tensor<fp16, []> var_11_to_fp16 = const()[name = tensor<string, []>("op_11_to_fp16"), val = tensor<fp16, []>(0x1.1p-20)];
-            tensor<fp16, [1, 1370, 384]> x_11_cast_fp16 = layer_norm(axes = x_11_axes_0, beta = model_pretrained_blocks_0_norm1_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_0_norm1_weight_to_fp16, x = input_1_cast_fp16)[name = tensor<string, []>("x_11_cast_fp16")];
-            tensor<fp16, [1152, 384]> model_pretrained_blocks_0_attn_qkv_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_attn_qkv_weight_to_fp16"), val = tensor<fp16, [1152, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(1507264)))];
-            tensor<fp16, [1152]> model_pretrained_blocks_0_attn_qkv_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_attn_qkv_bias_to_fp16"), val = tensor<fp16, [1152]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2392064)))];
-            tensor<fp16, [1, 1370, 1152]> linear_0_cast_fp16 = linear(bias = model_pretrained_blocks_0_attn_qkv_bias_to_fp16, weight = model_pretrained_blocks_0_attn_qkv_weight_to_fp16, x = x_11_cast_fp16)[name = tensor<string, []>("linear_0_cast_fp16")];
-            tensor<int32, [5]> var_125 = const()[name = tensor<string, []>("op_125"), val = tensor<int32, [5]>([1, 1370, 3, 6, 64])];
-            tensor<fp16, [1, 1370, 3, 6, 64]> var_126_cast_fp16 = reshape(shape = var_125, x = linear_0_cast_fp16)[name = tensor<string, []>("op_126_cast_fp16")];
-            tensor<int32, [5]> var_127 = const()[name = tensor<string, []>("op_127"), val = tensor<int32, [5]>([2, 0, 3, 1, 4])];
-            tensor<int32, [5]> var_129_begin_0 = const()[name = tensor<string, []>("op_129_begin_0"), val = tensor<int32, [5]>([0, 0, 0, 0, 0])];
-            tensor<int32, [5]> var_129_end_0 = const()[name = tensor<string, []>("op_129_end_0"), val = tensor<int32, [5]>([1, 1, 6, 1370, 64])];
-            tensor<bool, [5]> var_129_end_mask_0 = const()[name = tensor<string, []>("op_129_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> var_129_squeeze_mask_0 = const()[name = tensor<string, []>("op_129_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [3, 1, 6, 1370, 64]> qkv_1_cast_fp16 = transpose(perm = var_127, x = var_126_cast_fp16)[name = tensor<string, []>("transpose_27")];
-            tensor<fp16, [1, 6, 1370, 64]> var_129_cast_fp16 = slice_by_index(begin = var_129_begin_0, end = var_129_end_0, end_mask = var_129_end_mask_0, squeeze_mask = var_129_squeeze_mask_0, x = qkv_1_cast_fp16)[name = tensor<string, []>("op_129_cast_fp16")];
-            tensor<fp16, []> var_130_to_fp16 = const()[name = tensor<string, []>("op_130_to_fp16"), val = tensor<fp16, []>(0x1p-3)];
-            tensor<fp16, [1, 6, 1370, 64]> q_1_cast_fp16 = mul(x = var_129_cast_fp16, y = var_130_to_fp16)[name = tensor<string, []>("q_1_cast_fp16")];
-            tensor<int32, [5]> k_1_begin_0 = const()[name = tensor<string, []>("k_1_begin_0"), val = tensor<int32, [5]>([1, 0, 0, 0, 0])];
-            tensor<int32, [5]> k_1_end_0 = const()[name = tensor<string, []>("k_1_end_0"), val = tensor<int32, [5]>([2, 1, 6, 1370, 64])];
-            tensor<bool, [5]> k_1_end_mask_0 = const()[name = tensor<string, []>("k_1_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> k_1_squeeze_mask_0 = const()[name = tensor<string, []>("k_1_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> k_1_cast_fp16 = slice_by_index(begin = k_1_begin_0, end = k_1_end_0, end_mask = k_1_end_mask_0, squeeze_mask = k_1_squeeze_mask_0, x = qkv_1_cast_fp16)[name = tensor<string, []>("k_1_cast_fp16")];
-            tensor<int32, [5]> v_1_begin_0 = const()[name = tensor<string, []>("v_1_begin_0"), val = tensor<int32, [5]>([2, 0, 0, 0, 0])];
-            tensor<int32, [5]> v_1_end_0 = const()[name = tensor<string, []>("v_1_end_0"), val = tensor<int32, [5]>([3, 1, 6, 1370, 64])];
-            tensor<bool, [5]> v_1_end_mask_0 = const()[name = tensor<string, []>("v_1_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> v_1_squeeze_mask_0 = const()[name = tensor<string, []>("v_1_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> v_1_cast_fp16 = slice_by_index(begin = v_1_begin_0, end = v_1_end_0, end_mask = v_1_end_mask_0, squeeze_mask = v_1_squeeze_mask_0, x = qkv_1_cast_fp16)[name = tensor<string, []>("v_1_cast_fp16")];
-            tensor<bool, []> attn_1_transpose_x_1 = const()[name = tensor<string, []>("attn_1_transpose_x_1"), val = tensor<bool, []>(false)];
-            tensor<bool, []> attn_1_transpose_y_1 = const()[name = tensor<string, []>("attn_1_transpose_y_1"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 6, 1370, 1370]> attn_1_cast_fp16 = matmul(transpose_x = attn_1_transpose_x_1, transpose_y = attn_1_transpose_y_1, x = q_1_cast_fp16, y = k_1_cast_fp16)[name = tensor<string, []>("attn_1_cast_fp16")];
-            tensor<fp16, [1, 6, 1370, 1370]> input_3_cast_fp16 = softmax(axis = var_25, x = attn_1_cast_fp16)[name = tensor<string, []>("input_3_cast_fp16")];
-            tensor<bool, []> var_138_transpose_x_0 = const()[name = tensor<string, []>("op_138_transpose_x_0"), val = tensor<bool, []>(false)];
-            tensor<bool, []> var_138_transpose_y_0 = const()[name = tensor<string, []>("op_138_transpose_y_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 6, 1370, 64]> var_138_cast_fp16 = matmul(transpose_x = var_138_transpose_x_0, transpose_y = var_138_transpose_y_0, x = input_3_cast_fp16, y = v_1_cast_fp16)[name = tensor<string, []>("op_138_cast_fp16")];
-            tensor<int32, [4]> var_139_perm_0 = const()[name = tensor<string, []>("op_139_perm_0"), val = tensor<int32, [4]>([0, 2, 1, 3])];
-            tensor<int32, [3]> var_140 = const()[name = tensor<string, []>("op_140"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<fp16, [1, 1370, 6, 64]> var_139_cast_fp16 = transpose(perm = var_139_perm_0, x = var_138_cast_fp16)[name = tensor<string, []>("transpose_26")];
-            tensor<fp16, [1, 1370, 384]> input_5_cast_fp16 = reshape(shape = var_140, x = var_139_cast_fp16)[name = tensor<string, []>("input_5_cast_fp16")];
-            tensor<fp16, [384, 384]> model_pretrained_blocks_0_attn_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_attn_proj_weight_to_fp16"), val = tensor<fp16, [384, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2394432)))];
-            tensor<fp16, [384]> model_pretrained_blocks_0_attn_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_attn_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2689408)))];
-            tensor<fp16, [1, 1370, 384]> linear_1_cast_fp16 = linear(bias = model_pretrained_blocks_0_attn_proj_bias_to_fp16, weight = model_pretrained_blocks_0_attn_proj_weight_to_fp16, x = input_5_cast_fp16)[name = tensor<string, []>("linear_1_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_0_ls1_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_ls1_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2690240)))];
-            tensor<fp16, [1, 1370, 384]> var_147_cast_fp16 = mul(x = linear_1_cast_fp16, y = model_pretrained_blocks_0_ls1_gamma_to_fp16)[name = tensor<string, []>("op_147_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_9_cast_fp16 = add(x = input_1_cast_fp16, y = var_147_cast_fp16)[name = tensor<string, []>("input_9_cast_fp16")];
-            tensor<int32, [1]> input_11_axes_0 = const()[name = tensor<string, []>("input_11_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_0_norm2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_norm2_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2691072)))];
-            tensor<fp16, [384]> model_pretrained_blocks_0_norm2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_norm2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2691904)))];
-            tensor<fp16, [1, 1370, 384]> input_11_cast_fp16 = layer_norm(axes = input_11_axes_0, beta = model_pretrained_blocks_0_norm2_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_0_norm2_weight_to_fp16, x = input_9_cast_fp16)[name = tensor<string, []>("input_11_cast_fp16")];
-            tensor<fp16, [1536, 384]> model_pretrained_blocks_0_mlp_fc1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_mlp_fc1_weight_to_fp16"), val = tensor<fp16, [1536, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(2692736)))];
-            tensor<fp16, [1536]> model_pretrained_blocks_0_mlp_fc1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_mlp_fc1_bias_to_fp16"), val = tensor<fp16, [1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3872448)))];
-            tensor<fp16, [1, 1370, 1536]> linear_2_cast_fp16 = linear(bias = model_pretrained_blocks_0_mlp_fc1_bias_to_fp16, weight = model_pretrained_blocks_0_mlp_fc1_weight_to_fp16, x = input_11_cast_fp16)[name = tensor<string, []>("linear_2_cast_fp16")];
-            tensor<string, []> input_15_mode_0 = const()[name = tensor<string, []>("input_15_mode_0"), val = tensor<string, []>("EXACT")];
-            tensor<fp16, [1, 1370, 1536]> input_15_cast_fp16 = gelu(mode = input_15_mode_0, x = linear_2_cast_fp16)[name = tensor<string, []>("input_15_cast_fp16")];
-            tensor<fp16, [384, 1536]> model_pretrained_blocks_0_mlp_fc2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_mlp_fc2_weight_to_fp16"), val = tensor<fp16, [384, 1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(3875584)))];
-            tensor<fp16, [384]> model_pretrained_blocks_0_mlp_fc2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_mlp_fc2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5055296)))];
-            tensor<fp16, [1, 1370, 384]> linear_3_cast_fp16 = linear(bias = model_pretrained_blocks_0_mlp_fc2_bias_to_fp16, weight = model_pretrained_blocks_0_mlp_fc2_weight_to_fp16, x = input_15_cast_fp16)[name = tensor<string, []>("linear_3_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_0_ls2_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_0_ls2_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5056128)))];
-            tensor<fp16, [1, 1370, 384]> var_165_cast_fp16 = mul(x = linear_3_cast_fp16, y = model_pretrained_blocks_0_ls2_gamma_to_fp16)[name = tensor<string, []>("op_165_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_21_cast_fp16 = add(x = input_9_cast_fp16, y = var_165_cast_fp16)[name = tensor<string, []>("input_21_cast_fp16")];
-            tensor<int32, [1]> x_17_axes_0 = const()[name = tensor<string, []>("x_17_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_1_norm1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_norm1_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5056960)))];
-            tensor<fp16, [384]> model_pretrained_blocks_1_norm1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_norm1_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5057792)))];
-            tensor<fp16, [1, 1370, 384]> x_17_cast_fp16 = layer_norm(axes = x_17_axes_0, beta = model_pretrained_blocks_1_norm1_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_1_norm1_weight_to_fp16, x = input_21_cast_fp16)[name = tensor<string, []>("x_17_cast_fp16")];
-            tensor<fp16, [1152, 384]> model_pretrained_blocks_1_attn_qkv_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_attn_qkv_weight_to_fp16"), val = tensor<fp16, [1152, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5058624)))];
-            tensor<fp16, [1152]> model_pretrained_blocks_1_attn_qkv_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_attn_qkv_bias_to_fp16"), val = tensor<fp16, [1152]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5943424)))];
-            tensor<fp16, [1, 1370, 1152]> linear_4_cast_fp16 = linear(bias = model_pretrained_blocks_1_attn_qkv_bias_to_fp16, weight = model_pretrained_blocks_1_attn_qkv_weight_to_fp16, x = x_17_cast_fp16)[name = tensor<string, []>("linear_4_cast_fp16")];
-            tensor<int32, [5]> var_188 = const()[name = tensor<string, []>("op_188"), val = tensor<int32, [5]>([1, 1370, 3, 6, 64])];
-            tensor<fp16, [1, 1370, 3, 6, 64]> var_189_cast_fp16 = reshape(shape = var_188, x = linear_4_cast_fp16)[name = tensor<string, []>("op_189_cast_fp16")];
-            tensor<int32, [5]> var_190 = const()[name = tensor<string, []>("op_190"), val = tensor<int32, [5]>([2, 0, 3, 1, 4])];
-            tensor<int32, [5]> var_192_begin_0 = const()[name = tensor<string, []>("op_192_begin_0"), val = tensor<int32, [5]>([0, 0, 0, 0, 0])];
-            tensor<int32, [5]> var_192_end_0 = const()[name = tensor<string, []>("op_192_end_0"), val = tensor<int32, [5]>([1, 1, 6, 1370, 64])];
-            tensor<bool, [5]> var_192_end_mask_0 = const()[name = tensor<string, []>("op_192_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> var_192_squeeze_mask_0 = const()[name = tensor<string, []>("op_192_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [3, 1, 6, 1370, 64]> qkv_3_cast_fp16 = transpose(perm = var_190, x = var_189_cast_fp16)[name = tensor<string, []>("transpose_25")];
-            tensor<fp16, [1, 6, 1370, 64]> var_192_cast_fp16 = slice_by_index(begin = var_192_begin_0, end = var_192_end_0, end_mask = var_192_end_mask_0, squeeze_mask = var_192_squeeze_mask_0, x = qkv_3_cast_fp16)[name = tensor<string, []>("op_192_cast_fp16")];
-            tensor<fp16, []> var_193_to_fp16 = const()[name = tensor<string, []>("op_193_to_fp16"), val = tensor<fp16, []>(0x1p-3)];
-            tensor<fp16, [1, 6, 1370, 64]> q_3_cast_fp16 = mul(x = var_192_cast_fp16, y = var_193_to_fp16)[name = tensor<string, []>("q_3_cast_fp16")];
-            tensor<int32, [5]> k_3_begin_0 = const()[name = tensor<string, []>("k_3_begin_0"), val = tensor<int32, [5]>([1, 0, 0, 0, 0])];
-            tensor<int32, [5]> k_3_end_0 = const()[name = tensor<string, []>("k_3_end_0"), val = tensor<int32, [5]>([2, 1, 6, 1370, 64])];
-            tensor<bool, [5]> k_3_end_mask_0 = const()[name = tensor<string, []>("k_3_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> k_3_squeeze_mask_0 = const()[name = tensor<string, []>("k_3_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> k_3_cast_fp16 = slice_by_index(begin = k_3_begin_0, end = k_3_end_0, end_mask = k_3_end_mask_0, squeeze_mask = k_3_squeeze_mask_0, x = qkv_3_cast_fp16)[name = tensor<string, []>("k_3_cast_fp16")];
-            tensor<int32, [5]> v_3_begin_0 = const()[name = tensor<string, []>("v_3_begin_0"), val = tensor<int32, [5]>([2, 0, 0, 0, 0])];
-            tensor<int32, [5]> v_3_end_0 = const()[name = tensor<string, []>("v_3_end_0"), val = tensor<int32, [5]>([3, 1, 6, 1370, 64])];
-            tensor<bool, [5]> v_3_end_mask_0 = const()[name = tensor<string, []>("v_3_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> v_3_squeeze_mask_0 = const()[name = tensor<string, []>("v_3_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> v_3_cast_fp16 = slice_by_index(begin = v_3_begin_0, end = v_3_end_0, end_mask = v_3_end_mask_0, squeeze_mask = v_3_squeeze_mask_0, x = qkv_3_cast_fp16)[name = tensor<string, []>("v_3_cast_fp16")];
-            tensor<bool, []> attn_5_transpose_x_1 = const()[name = tensor<string, []>("attn_5_transpose_x_1"), val = tensor<bool, []>(false)];
-            tensor<bool, []> attn_5_transpose_y_1 = const()[name = tensor<string, []>("attn_5_transpose_y_1"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 6, 1370, 1370]> attn_5_cast_fp16 = matmul(transpose_x = attn_5_transpose_x_1, transpose_y = attn_5_transpose_y_1, x = q_3_cast_fp16, y = k_3_cast_fp16)[name = tensor<string, []>("attn_5_cast_fp16")];
-            tensor<fp16, [1, 6, 1370, 1370]> input_23_cast_fp16 = softmax(axis = var_25, x = attn_5_cast_fp16)[name = tensor<string, []>("input_23_cast_fp16")];
-            tensor<bool, []> var_201_transpose_x_0 = const()[name = tensor<string, []>("op_201_transpose_x_0"), val = tensor<bool, []>(false)];
-            tensor<bool, []> var_201_transpose_y_0 = const()[name = tensor<string, []>("op_201_transpose_y_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 6, 1370, 64]> var_201_cast_fp16 = matmul(transpose_x = var_201_transpose_x_0, transpose_y = var_201_transpose_y_0, x = input_23_cast_fp16, y = v_3_cast_fp16)[name = tensor<string, []>("op_201_cast_fp16")];
-            tensor<int32, [4]> var_202_perm_0 = const()[name = tensor<string, []>("op_202_perm_0"), val = tensor<int32, [4]>([0, 2, 1, 3])];
-            tensor<int32, [3]> var_203 = const()[name = tensor<string, []>("op_203"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<fp16, [1, 1370, 6, 64]> var_202_cast_fp16 = transpose(perm = var_202_perm_0, x = var_201_cast_fp16)[name = tensor<string, []>("transpose_24")];
-            tensor<fp16, [1, 1370, 384]> input_25_cast_fp16 = reshape(shape = var_203, x = var_202_cast_fp16)[name = tensor<string, []>("input_25_cast_fp16")];
-            tensor<fp16, [384, 384]> model_pretrained_blocks_1_attn_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_attn_proj_weight_to_fp16"), val = tensor<fp16, [384, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(5945792)))];
-            tensor<fp16, [384]> model_pretrained_blocks_1_attn_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_attn_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6240768)))];
-            tensor<fp16, [1, 1370, 384]> linear_5_cast_fp16 = linear(bias = model_pretrained_blocks_1_attn_proj_bias_to_fp16, weight = model_pretrained_blocks_1_attn_proj_weight_to_fp16, x = input_25_cast_fp16)[name = tensor<string, []>("linear_5_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_1_ls1_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_ls1_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6241600)))];
-            tensor<fp16, [1, 1370, 384]> var_210_cast_fp16 = mul(x = linear_5_cast_fp16, y = model_pretrained_blocks_1_ls1_gamma_to_fp16)[name = tensor<string, []>("op_210_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_29_cast_fp16 = add(x = input_21_cast_fp16, y = var_210_cast_fp16)[name = tensor<string, []>("input_29_cast_fp16")];
-            tensor<int32, [1]> input_31_axes_0 = const()[name = tensor<string, []>("input_31_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_1_norm2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_norm2_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6242432)))];
-            tensor<fp16, [384]> model_pretrained_blocks_1_norm2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_norm2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6243264)))];
-            tensor<fp16, [1, 1370, 384]> input_31_cast_fp16 = layer_norm(axes = input_31_axes_0, beta = model_pretrained_blocks_1_norm2_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_1_norm2_weight_to_fp16, x = input_29_cast_fp16)[name = tensor<string, []>("input_31_cast_fp16")];
-            tensor<fp16, [1536, 384]> model_pretrained_blocks_1_mlp_fc1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_mlp_fc1_weight_to_fp16"), val = tensor<fp16, [1536, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(6244096)))];
-            tensor<fp16, [1536]> model_pretrained_blocks_1_mlp_fc1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_mlp_fc1_bias_to_fp16"), val = tensor<fp16, [1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7423808)))];
-            tensor<fp16, [1, 1370, 1536]> linear_6_cast_fp16 = linear(bias = model_pretrained_blocks_1_mlp_fc1_bias_to_fp16, weight = model_pretrained_blocks_1_mlp_fc1_weight_to_fp16, x = input_31_cast_fp16)[name = tensor<string, []>("linear_6_cast_fp16")];
-            tensor<string, []> input_35_mode_0 = const()[name = tensor<string, []>("input_35_mode_0"), val = tensor<string, []>("EXACT")];
-            tensor<fp16, [1, 1370, 1536]> input_35_cast_fp16 = gelu(mode = input_35_mode_0, x = linear_6_cast_fp16)[name = tensor<string, []>("input_35_cast_fp16")];
-            tensor<fp16, [384, 1536]> model_pretrained_blocks_1_mlp_fc2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_mlp_fc2_weight_to_fp16"), val = tensor<fp16, [384, 1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(7426944)))];
-            tensor<fp16, [384]> model_pretrained_blocks_1_mlp_fc2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_mlp_fc2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8606656)))];
-            tensor<fp16, [1, 1370, 384]> linear_7_cast_fp16 = linear(bias = model_pretrained_blocks_1_mlp_fc2_bias_to_fp16, weight = model_pretrained_blocks_1_mlp_fc2_weight_to_fp16, x = input_35_cast_fp16)[name = tensor<string, []>("linear_7_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_1_ls2_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_1_ls2_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8607488)))];
-            tensor<fp16, [1, 1370, 384]> var_228_cast_fp16 = mul(x = linear_7_cast_fp16, y = model_pretrained_blocks_1_ls2_gamma_to_fp16)[name = tensor<string, []>("op_228_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_41_cast_fp16 = add(x = input_29_cast_fp16, y = var_228_cast_fp16)[name = tensor<string, []>("input_41_cast_fp16")];
-            tensor<int32, [1]> x_23_axes_0 = const()[name = tensor<string, []>("x_23_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_2_norm1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_norm1_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8608320)))];
-            tensor<fp16, [384]> model_pretrained_blocks_2_norm1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_norm1_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8609152)))];
-            tensor<fp16, [1, 1370, 384]> x_23_cast_fp16 = layer_norm(axes = x_23_axes_0, beta = model_pretrained_blocks_2_norm1_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_2_norm1_weight_to_fp16, x = input_41_cast_fp16)[name = tensor<string, []>("x_23_cast_fp16")];
-            tensor<fp16, [1152, 384]> model_pretrained_blocks_2_attn_qkv_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_attn_qkv_weight_to_fp16"), val = tensor<fp16, [1152, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(8609984)))];
-            tensor<fp16, [1152]> model_pretrained_blocks_2_attn_qkv_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_attn_qkv_bias_to_fp16"), val = tensor<fp16, [1152]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9494784)))];
-            tensor<fp16, [1, 1370, 1152]> linear_8_cast_fp16 = linear(bias = model_pretrained_blocks_2_attn_qkv_bias_to_fp16, weight = model_pretrained_blocks_2_attn_qkv_weight_to_fp16, x = x_23_cast_fp16)[name = tensor<string, []>("linear_8_cast_fp16")];
-            tensor<int32, [5]> var_251 = const()[name = tensor<string, []>("op_251"), val = tensor<int32, [5]>([1, 1370, 3, 6, 64])];
-            tensor<fp16, [1, 1370, 3, 6, 64]> var_252_cast_fp16 = reshape(shape = var_251, x = linear_8_cast_fp16)[name = tensor<string, []>("op_252_cast_fp16")];
-            tensor<int32, [5]> var_253 = const()[name = tensor<string, []>("op_253"), val = tensor<int32, [5]>([2, 0, 3, 1, 4])];
-            tensor<int32, [5]> var_255_begin_0 = const()[name = tensor<string, []>("op_255_begin_0"), val = tensor<int32, [5]>([0, 0, 0, 0, 0])];
-            tensor<int32, [5]> var_255_end_0 = const()[name = tensor<string, []>("op_255_end_0"), val = tensor<int32, [5]>([1, 1, 6, 1370, 64])];
-            tensor<bool, [5]> var_255_end_mask_0 = const()[name = tensor<string, []>("op_255_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> var_255_squeeze_mask_0 = const()[name = tensor<string, []>("op_255_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [3, 1, 6, 1370, 64]> qkv_5_cast_fp16 = transpose(perm = var_253, x = var_252_cast_fp16)[name = tensor<string, []>("transpose_23")];
-            tensor<fp16, [1, 6, 1370, 64]> var_255_cast_fp16 = slice_by_index(begin = var_255_begin_0, end = var_255_end_0, end_mask = var_255_end_mask_0, squeeze_mask = var_255_squeeze_mask_0, x = qkv_5_cast_fp16)[name = tensor<string, []>("op_255_cast_fp16")];
-            tensor<fp16, []> var_256_to_fp16 = const()[name = tensor<string, []>("op_256_to_fp16"), val = tensor<fp16, []>(0x1p-3)];
-            tensor<fp16, [1, 6, 1370, 64]> q_5_cast_fp16 = mul(x = var_255_cast_fp16, y = var_256_to_fp16)[name = tensor<string, []>("q_5_cast_fp16")];
-            tensor<int32, [5]> k_5_begin_0 = const()[name = tensor<string, []>("k_5_begin_0"), val = tensor<int32, [5]>([1, 0, 0, 0, 0])];
-            tensor<int32, [5]> k_5_end_0 = const()[name = tensor<string, []>("k_5_end_0"), val = tensor<int32, [5]>([2, 1, 6, 1370, 64])];
-            tensor<bool, [5]> k_5_end_mask_0 = const()[name = tensor<string, []>("k_5_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> k_5_squeeze_mask_0 = const()[name = tensor<string, []>("k_5_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> k_5_cast_fp16 = slice_by_index(begin = k_5_begin_0, end = k_5_end_0, end_mask = k_5_end_mask_0, squeeze_mask = k_5_squeeze_mask_0, x = qkv_5_cast_fp16)[name = tensor<string, []>("k_5_cast_fp16")];
-            tensor<int32, [5]> v_5_begin_0 = const()[name = tensor<string, []>("v_5_begin_0"), val = tensor<int32, [5]>([2, 0, 0, 0, 0])];
-            tensor<int32, [5]> v_5_end_0 = const()[name = tensor<string, []>("v_5_end_0"), val = tensor<int32, [5]>([3, 1, 6, 1370, 64])];
-            tensor<bool, [5]> v_5_end_mask_0 = const()[name = tensor<string, []>("v_5_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> v_5_squeeze_mask_0 = const()[name = tensor<string, []>("v_5_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> v_5_cast_fp16 = slice_by_index(begin = v_5_begin_0, end = v_5_end_0, end_mask = v_5_end_mask_0, squeeze_mask = v_5_squeeze_mask_0, x = qkv_5_cast_fp16)[name = tensor<string, []>("v_5_cast_fp16")];
-            tensor<bool, []> attn_9_transpose_x_1 = const()[name = tensor<string, []>("attn_9_transpose_x_1"), val = tensor<bool, []>(false)];
-            tensor<bool, []> attn_9_transpose_y_1 = const()[name = tensor<string, []>("attn_9_transpose_y_1"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 6, 1370, 1370]> attn_9_cast_fp16 = matmul(transpose_x = attn_9_transpose_x_1, transpose_y = attn_9_transpose_y_1, x = q_5_cast_fp16, y = k_5_cast_fp16)[name = tensor<string, []>("attn_9_cast_fp16")];
-            tensor<fp16, [1, 6, 1370, 1370]> input_43_cast_fp16 = softmax(axis = var_25, x = attn_9_cast_fp16)[name = tensor<string, []>("input_43_cast_fp16")];
-            tensor<bool, []> var_264_transpose_x_0 = const()[name = tensor<string, []>("op_264_transpose_x_0"), val = tensor<bool, []>(false)];
-            tensor<bool, []> var_264_transpose_y_0 = const()[name = tensor<string, []>("op_264_transpose_y_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 6, 1370, 64]> var_264_cast_fp16 = matmul(transpose_x = var_264_transpose_x_0, transpose_y = var_264_transpose_y_0, x = input_43_cast_fp16, y = v_5_cast_fp16)[name = tensor<string, []>("op_264_cast_fp16")];
-            tensor<int32, [4]> var_265_perm_0 = const()[name = tensor<string, []>("op_265_perm_0"), val = tensor<int32, [4]>([0, 2, 1, 3])];
-            tensor<int32, [3]> var_266 = const()[name = tensor<string, []>("op_266"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<fp16, [1, 1370, 6, 64]> var_265_cast_fp16 = transpose(perm = var_265_perm_0, x = var_264_cast_fp16)[name = tensor<string, []>("transpose_22")];
-            tensor<fp16, [1, 1370, 384]> input_45_cast_fp16 = reshape(shape = var_266, x = var_265_cast_fp16)[name = tensor<string, []>("input_45_cast_fp16")];
-            tensor<fp16, [384, 384]> model_pretrained_blocks_2_attn_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_attn_proj_weight_to_fp16"), val = tensor<fp16, [384, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9497152)))];
-            tensor<fp16, [384]> model_pretrained_blocks_2_attn_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_attn_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9792128)))];
-            tensor<fp16, [1, 1370, 384]> linear_9_cast_fp16 = linear(bias = model_pretrained_blocks_2_attn_proj_bias_to_fp16, weight = model_pretrained_blocks_2_attn_proj_weight_to_fp16, x = input_45_cast_fp16)[name = tensor<string, []>("linear_9_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_2_ls1_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_ls1_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9792960)))];
-            tensor<fp16, [1, 1370, 384]> var_273_cast_fp16 = mul(x = linear_9_cast_fp16, y = model_pretrained_blocks_2_ls1_gamma_to_fp16)[name = tensor<string, []>("op_273_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_49_cast_fp16 = add(x = input_41_cast_fp16, y = var_273_cast_fp16)[name = tensor<string, []>("input_49_cast_fp16")];
-            tensor<int32, [1]> input_51_axes_0 = const()[name = tensor<string, []>("input_51_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_2_norm2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_norm2_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9793792)))];
-            tensor<fp16, [384]> model_pretrained_blocks_2_norm2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_norm2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9794624)))];
-            tensor<fp16, [1, 1370, 384]> input_51_cast_fp16 = layer_norm(axes = input_51_axes_0, beta = model_pretrained_blocks_2_norm2_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_2_norm2_weight_to_fp16, x = input_49_cast_fp16)[name = tensor<string, []>("input_51_cast_fp16")];
-            tensor<fp16, [1536, 384]> model_pretrained_blocks_2_mlp_fc1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_mlp_fc1_weight_to_fp16"), val = tensor<fp16, [1536, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(9795456)))];
-            tensor<fp16, [1536]> model_pretrained_blocks_2_mlp_fc1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_mlp_fc1_bias_to_fp16"), val = tensor<fp16, [1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(10975168)))];
-            tensor<fp16, [1, 1370, 1536]> linear_10_cast_fp16 = linear(bias = model_pretrained_blocks_2_mlp_fc1_bias_to_fp16, weight = model_pretrained_blocks_2_mlp_fc1_weight_to_fp16, x = input_51_cast_fp16)[name = tensor<string, []>("linear_10_cast_fp16")];
-            tensor<string, []> input_55_mode_0 = const()[name = tensor<string, []>("input_55_mode_0"), val = tensor<string, []>("EXACT")];
-            tensor<fp16, [1, 1370, 1536]> input_55_cast_fp16 = gelu(mode = input_55_mode_0, x = linear_10_cast_fp16)[name = tensor<string, []>("input_55_cast_fp16")];
-            tensor<fp16, [384, 1536]> model_pretrained_blocks_2_mlp_fc2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_mlp_fc2_weight_to_fp16"), val = tensor<fp16, [384, 1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(10978304)))];
-            tensor<fp16, [384]> model_pretrained_blocks_2_mlp_fc2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_mlp_fc2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12158016)))];
-            tensor<fp16, [1, 1370, 384]> linear_11_cast_fp16 = linear(bias = model_pretrained_blocks_2_mlp_fc2_bias_to_fp16, weight = model_pretrained_blocks_2_mlp_fc2_weight_to_fp16, x = input_55_cast_fp16)[name = tensor<string, []>("linear_11_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_2_ls2_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_2_ls2_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12158848)))];
-            tensor<fp16, [1, 1370, 384]> var_291_cast_fp16 = mul(x = linear_11_cast_fp16, y = model_pretrained_blocks_2_ls2_gamma_to_fp16)[name = tensor<string, []>("op_291_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_61_cast_fp16 = add(x = input_49_cast_fp16, y = var_291_cast_fp16)[name = tensor<string, []>("input_61_cast_fp16")];
-            tensor<int32, [1]> x_29_axes_0 = const()[name = tensor<string, []>("x_29_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_3_norm1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_norm1_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12159680)))];
-            tensor<fp16, [384]> model_pretrained_blocks_3_norm1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_norm1_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12160512)))];
-            tensor<fp16, [1, 1370, 384]> x_29_cast_fp16 = layer_norm(axes = x_29_axes_0, beta = model_pretrained_blocks_3_norm1_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_3_norm1_weight_to_fp16, x = input_61_cast_fp16)[name = tensor<string, []>("x_29_cast_fp16")];
-            tensor<fp16, [1152, 384]> model_pretrained_blocks_3_attn_qkv_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_attn_qkv_weight_to_fp16"), val = tensor<fp16, [1152, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(12161344)))];
-            tensor<fp16, [1152]> model_pretrained_blocks_3_attn_qkv_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_attn_qkv_bias_to_fp16"), val = tensor<fp16, [1152]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13046144)))];
-            tensor<fp16, [1, 1370, 1152]> linear_12_cast_fp16 = linear(bias = model_pretrained_blocks_3_attn_qkv_bias_to_fp16, weight = model_pretrained_blocks_3_attn_qkv_weight_to_fp16, x = x_29_cast_fp16)[name = tensor<string, []>("linear_12_cast_fp16")];
-            tensor<int32, [5]> var_314 = const()[name = tensor<string, []>("op_314"), val = tensor<int32, [5]>([1, 1370, 3, 6, 64])];
-            tensor<fp16, [1, 1370, 3, 6, 64]> var_315_cast_fp16 = reshape(shape = var_314, x = linear_12_cast_fp16)[name = tensor<string, []>("op_315_cast_fp16")];
-            tensor<int32, [5]> var_316 = const()[name = tensor<string, []>("op_316"), val = tensor<int32, [5]>([2, 0, 3, 1, 4])];
-            tensor<int32, [5]> var_318_begin_0 = const()[name = tensor<string, []>("op_318_begin_0"), val = tensor<int32, [5]>([0, 0, 0, 0, 0])];
-            tensor<int32, [5]> var_318_end_0 = const()[name = tensor<string, []>("op_318_end_0"), val = tensor<int32, [5]>([1, 1, 6, 1370, 64])];
-            tensor<bool, [5]> var_318_end_mask_0 = const()[name = tensor<string, []>("op_318_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> var_318_squeeze_mask_0 = const()[name = tensor<string, []>("op_318_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [3, 1, 6, 1370, 64]> qkv_7_cast_fp16 = transpose(perm = var_316, x = var_315_cast_fp16)[name = tensor<string, []>("transpose_21")];
-            tensor<fp16, [1, 6, 1370, 64]> var_318_cast_fp16 = slice_by_index(begin = var_318_begin_0, end = var_318_end_0, end_mask = var_318_end_mask_0, squeeze_mask = var_318_squeeze_mask_0, x = qkv_7_cast_fp16)[name = tensor<string, []>("op_318_cast_fp16")];
-            tensor<fp16, []> var_319_to_fp16 = const()[name = tensor<string, []>("op_319_to_fp16"), val = tensor<fp16, []>(0x1p-3)];
-            tensor<fp16, [1, 6, 1370, 64]> q_7_cast_fp16 = mul(x = var_318_cast_fp16, y = var_319_to_fp16)[name = tensor<string, []>("q_7_cast_fp16")];
-            tensor<int32, [5]> k_7_begin_0 = const()[name = tensor<string, []>("k_7_begin_0"), val = tensor<int32, [5]>([1, 0, 0, 0, 0])];
-            tensor<int32, [5]> k_7_end_0 = const()[name = tensor<string, []>("k_7_end_0"), val = tensor<int32, [5]>([2, 1, 6, 1370, 64])];
-            tensor<bool, [5]> k_7_end_mask_0 = const()[name = tensor<string, []>("k_7_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> k_7_squeeze_mask_0 = const()[name = tensor<string, []>("k_7_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> k_7_cast_fp16 = slice_by_index(begin = k_7_begin_0, end = k_7_end_0, end_mask = k_7_end_mask_0, squeeze_mask = k_7_squeeze_mask_0, x = qkv_7_cast_fp16)[name = tensor<string, []>("k_7_cast_fp16")];
-            tensor<int32, [5]> v_7_begin_0 = const()[name = tensor<string, []>("v_7_begin_0"), val = tensor<int32, [5]>([2, 0, 0, 0, 0])];
-            tensor<int32, [5]> v_7_end_0 = const()[name = tensor<string, []>("v_7_end_0"), val = tensor<int32, [5]>([3, 1, 6, 1370, 64])];
-            tensor<bool, [5]> v_7_end_mask_0 = const()[name = tensor<string, []>("v_7_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> v_7_squeeze_mask_0 = const()[name = tensor<string, []>("v_7_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> v_7_cast_fp16 = slice_by_index(begin = v_7_begin_0, end = v_7_end_0, end_mask = v_7_end_mask_0, squeeze_mask = v_7_squeeze_mask_0, x = qkv_7_cast_fp16)[name = tensor<string, []>("v_7_cast_fp16")];
-            tensor<bool, []> attn_13_transpose_x_1 = const()[name = tensor<string, []>("attn_13_transpose_x_1"), val = tensor<bool, []>(false)];
-            tensor<bool, []> attn_13_transpose_y_1 = const()[name = tensor<string, []>("attn_13_transpose_y_1"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 6, 1370, 1370]> attn_13_cast_fp16 = matmul(transpose_x = attn_13_transpose_x_1, transpose_y = attn_13_transpose_y_1, x = q_7_cast_fp16, y = k_7_cast_fp16)[name = tensor<string, []>("attn_13_cast_fp16")];
-            tensor<fp16, [1, 6, 1370, 1370]> input_63_cast_fp16 = softmax(axis = var_25, x = attn_13_cast_fp16)[name = tensor<string, []>("input_63_cast_fp16")];
-            tensor<bool, []> var_327_transpose_x_0 = const()[name = tensor<string, []>("op_327_transpose_x_0"), val = tensor<bool, []>(false)];
-            tensor<bool, []> var_327_transpose_y_0 = const()[name = tensor<string, []>("op_327_transpose_y_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 6, 1370, 64]> var_327_cast_fp16 = matmul(transpose_x = var_327_transpose_x_0, transpose_y = var_327_transpose_y_0, x = input_63_cast_fp16, y = v_7_cast_fp16)[name = tensor<string, []>("op_327_cast_fp16")];
-            tensor<int32, [4]> var_328_perm_0 = const()[name = tensor<string, []>("op_328_perm_0"), val = tensor<int32, [4]>([0, 2, 1, 3])];
-            tensor<int32, [3]> var_329 = const()[name = tensor<string, []>("op_329"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<fp16, [1, 1370, 6, 64]> var_328_cast_fp16 = transpose(perm = var_328_perm_0, x = var_327_cast_fp16)[name = tensor<string, []>("transpose_20")];
-            tensor<fp16, [1, 1370, 384]> input_65_cast_fp16 = reshape(shape = var_329, x = var_328_cast_fp16)[name = tensor<string, []>("input_65_cast_fp16")];
-            tensor<fp16, [384, 384]> model_pretrained_blocks_3_attn_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_attn_proj_weight_to_fp16"), val = tensor<fp16, [384, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13048512)))];
-            tensor<fp16, [384]> model_pretrained_blocks_3_attn_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_attn_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13343488)))];
-            tensor<fp16, [1, 1370, 384]> linear_13_cast_fp16 = linear(bias = model_pretrained_blocks_3_attn_proj_bias_to_fp16, weight = model_pretrained_blocks_3_attn_proj_weight_to_fp16, x = input_65_cast_fp16)[name = tensor<string, []>("linear_13_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_3_ls1_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_ls1_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13344320)))];
-            tensor<fp16, [1, 1370, 384]> var_336_cast_fp16 = mul(x = linear_13_cast_fp16, y = model_pretrained_blocks_3_ls1_gamma_to_fp16)[name = tensor<string, []>("op_336_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_69_cast_fp16 = add(x = input_61_cast_fp16, y = var_336_cast_fp16)[name = tensor<string, []>("input_69_cast_fp16")];
-            tensor<int32, [1]> input_71_axes_0 = const()[name = tensor<string, []>("input_71_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_3_norm2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_norm2_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13345152)))];
-            tensor<fp16, [384]> model_pretrained_blocks_3_norm2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_norm2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13345984)))];
-            tensor<fp16, [1, 1370, 384]> input_71_cast_fp16 = layer_norm(axes = input_71_axes_0, beta = model_pretrained_blocks_3_norm2_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_3_norm2_weight_to_fp16, x = input_69_cast_fp16)[name = tensor<string, []>("input_71_cast_fp16")];
-            tensor<fp16, [1536, 384]> model_pretrained_blocks_3_mlp_fc1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_mlp_fc1_weight_to_fp16"), val = tensor<fp16, [1536, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(13346816)))];
-            tensor<fp16, [1536]> model_pretrained_blocks_3_mlp_fc1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_mlp_fc1_bias_to_fp16"), val = tensor<fp16, [1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(14526528)))];
-            tensor<fp16, [1, 1370, 1536]> linear_14_cast_fp16 = linear(bias = model_pretrained_blocks_3_mlp_fc1_bias_to_fp16, weight = model_pretrained_blocks_3_mlp_fc1_weight_to_fp16, x = input_71_cast_fp16)[name = tensor<string, []>("linear_14_cast_fp16")];
-            tensor<string, []> input_75_mode_0 = const()[name = tensor<string, []>("input_75_mode_0"), val = tensor<string, []>("EXACT")];
-            tensor<fp16, [1, 1370, 1536]> input_75_cast_fp16 = gelu(mode = input_75_mode_0, x = linear_14_cast_fp16)[name = tensor<string, []>("input_75_cast_fp16")];
-            tensor<fp16, [384, 1536]> model_pretrained_blocks_3_mlp_fc2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_mlp_fc2_weight_to_fp16"), val = tensor<fp16, [384, 1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(14529664)))];
-            tensor<fp16, [384]> model_pretrained_blocks_3_mlp_fc2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_mlp_fc2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(15709376)))];
-            tensor<fp16, [1, 1370, 384]> linear_15_cast_fp16 = linear(bias = model_pretrained_blocks_3_mlp_fc2_bias_to_fp16, weight = model_pretrained_blocks_3_mlp_fc2_weight_to_fp16, x = input_75_cast_fp16)[name = tensor<string, []>("linear_15_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_3_ls2_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_3_ls2_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(15710208)))];
-            tensor<fp16, [1, 1370, 384]> var_354_cast_fp16 = mul(x = linear_15_cast_fp16, y = model_pretrained_blocks_3_ls2_gamma_to_fp16)[name = tensor<string, []>("op_354_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_81_cast_fp16 = add(x = input_69_cast_fp16, y = var_354_cast_fp16)[name = tensor<string, []>("input_81_cast_fp16")];
-            tensor<int32, [1]> x_35_axes_0 = const()[name = tensor<string, []>("x_35_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_4_norm1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_norm1_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(15711040)))];
-            tensor<fp16, [384]> model_pretrained_blocks_4_norm1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_norm1_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(15711872)))];
-            tensor<fp16, [1, 1370, 384]> x_35_cast_fp16 = layer_norm(axes = x_35_axes_0, beta = model_pretrained_blocks_4_norm1_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_4_norm1_weight_to_fp16, x = input_81_cast_fp16)[name = tensor<string, []>("x_35_cast_fp16")];
-            tensor<fp16, [1152, 384]> model_pretrained_blocks_4_attn_qkv_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_attn_qkv_weight_to_fp16"), val = tensor<fp16, [1152, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(15712704)))];
-            tensor<fp16, [1152]> model_pretrained_blocks_4_attn_qkv_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_attn_qkv_bias_to_fp16"), val = tensor<fp16, [1152]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(16597504)))];
-            tensor<fp16, [1, 1370, 1152]> linear_16_cast_fp16 = linear(bias = model_pretrained_blocks_4_attn_qkv_bias_to_fp16, weight = model_pretrained_blocks_4_attn_qkv_weight_to_fp16, x = x_35_cast_fp16)[name = tensor<string, []>("linear_16_cast_fp16")];
-            tensor<int32, [5]> var_377 = const()[name = tensor<string, []>("op_377"), val = tensor<int32, [5]>([1, 1370, 3, 6, 64])];
-            tensor<fp16, [1, 1370, 3, 6, 64]> var_378_cast_fp16 = reshape(shape = var_377, x = linear_16_cast_fp16)[name = tensor<string, []>("op_378_cast_fp16")];
-            tensor<int32, [5]> var_379 = const()[name = tensor<string, []>("op_379"), val = tensor<int32, [5]>([2, 0, 3, 1, 4])];
-            tensor<int32, [5]> var_381_begin_0 = const()[name = tensor<string, []>("op_381_begin_0"), val = tensor<int32, [5]>([0, 0, 0, 0, 0])];
-            tensor<int32, [5]> var_381_end_0 = const()[name = tensor<string, []>("op_381_end_0"), val = tensor<int32, [5]>([1, 1, 6, 1370, 64])];
-            tensor<bool, [5]> var_381_end_mask_0 = const()[name = tensor<string, []>("op_381_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> var_381_squeeze_mask_0 = const()[name = tensor<string, []>("op_381_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [3, 1, 6, 1370, 64]> qkv_9_cast_fp16 = transpose(perm = var_379, x = var_378_cast_fp16)[name = tensor<string, []>("transpose_19")];
-            tensor<fp16, [1, 6, 1370, 64]> var_381_cast_fp16 = slice_by_index(begin = var_381_begin_0, end = var_381_end_0, end_mask = var_381_end_mask_0, squeeze_mask = var_381_squeeze_mask_0, x = qkv_9_cast_fp16)[name = tensor<string, []>("op_381_cast_fp16")];
-            tensor<fp16, []> var_382_to_fp16 = const()[name = tensor<string, []>("op_382_to_fp16"), val = tensor<fp16, []>(0x1p-3)];
-            tensor<fp16, [1, 6, 1370, 64]> q_9_cast_fp16 = mul(x = var_381_cast_fp16, y = var_382_to_fp16)[name = tensor<string, []>("q_9_cast_fp16")];
-            tensor<int32, [5]> k_9_begin_0 = const()[name = tensor<string, []>("k_9_begin_0"), val = tensor<int32, [5]>([1, 0, 0, 0, 0])];
-            tensor<int32, [5]> k_9_end_0 = const()[name = tensor<string, []>("k_9_end_0"), val = tensor<int32, [5]>([2, 1, 6, 1370, 64])];
-            tensor<bool, [5]> k_9_end_mask_0 = const()[name = tensor<string, []>("k_9_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> k_9_squeeze_mask_0 = const()[name = tensor<string, []>("k_9_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> k_9_cast_fp16 = slice_by_index(begin = k_9_begin_0, end = k_9_end_0, end_mask = k_9_end_mask_0, squeeze_mask = k_9_squeeze_mask_0, x = qkv_9_cast_fp16)[name = tensor<string, []>("k_9_cast_fp16")];
-            tensor<int32, [5]> v_9_begin_0 = const()[name = tensor<string, []>("v_9_begin_0"), val = tensor<int32, [5]>([2, 0, 0, 0, 0])];
-            tensor<int32, [5]> v_9_end_0 = const()[name = tensor<string, []>("v_9_end_0"), val = tensor<int32, [5]>([3, 1, 6, 1370, 64])];
-            tensor<bool, [5]> v_9_end_mask_0 = const()[name = tensor<string, []>("v_9_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> v_9_squeeze_mask_0 = const()[name = tensor<string, []>("v_9_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> v_9_cast_fp16 = slice_by_index(begin = v_9_begin_0, end = v_9_end_0, end_mask = v_9_end_mask_0, squeeze_mask = v_9_squeeze_mask_0, x = qkv_9_cast_fp16)[name = tensor<string, []>("v_9_cast_fp16")];
-            tensor<bool, []> attn_17_transpose_x_1 = const()[name = tensor<string, []>("attn_17_transpose_x_1"), val = tensor<bool, []>(false)];
-            tensor<bool, []> attn_17_transpose_y_1 = const()[name = tensor<string, []>("attn_17_transpose_y_1"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 6, 1370, 1370]> attn_17_cast_fp16 = matmul(transpose_x = attn_17_transpose_x_1, transpose_y = attn_17_transpose_y_1, x = q_9_cast_fp16, y = k_9_cast_fp16)[name = tensor<string, []>("attn_17_cast_fp16")];
-            tensor<fp16, [1, 6, 1370, 1370]> input_83_cast_fp16 = softmax(axis = var_25, x = attn_17_cast_fp16)[name = tensor<string, []>("input_83_cast_fp16")];
-            tensor<bool, []> var_390_transpose_x_0 = const()[name = tensor<string, []>("op_390_transpose_x_0"), val = tensor<bool, []>(false)];
-            tensor<bool, []> var_390_transpose_y_0 = const()[name = tensor<string, []>("op_390_transpose_y_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 6, 1370, 64]> var_390_cast_fp16 = matmul(transpose_x = var_390_transpose_x_0, transpose_y = var_390_transpose_y_0, x = input_83_cast_fp16, y = v_9_cast_fp16)[name = tensor<string, []>("op_390_cast_fp16")];
-            tensor<int32, [4]> var_391_perm_0 = const()[name = tensor<string, []>("op_391_perm_0"), val = tensor<int32, [4]>([0, 2, 1, 3])];
-            tensor<int32, [3]> var_392 = const()[name = tensor<string, []>("op_392"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<fp16, [1, 1370, 6, 64]> var_391_cast_fp16 = transpose(perm = var_391_perm_0, x = var_390_cast_fp16)[name = tensor<string, []>("transpose_18")];
-            tensor<fp16, [1, 1370, 384]> input_85_cast_fp16 = reshape(shape = var_392, x = var_391_cast_fp16)[name = tensor<string, []>("input_85_cast_fp16")];
-            tensor<fp16, [384, 384]> model_pretrained_blocks_4_attn_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_attn_proj_weight_to_fp16"), val = tensor<fp16, [384, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(16599872)))];
-            tensor<fp16, [384]> model_pretrained_blocks_4_attn_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_attn_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(16894848)))];
-            tensor<fp16, [1, 1370, 384]> linear_17_cast_fp16 = linear(bias = model_pretrained_blocks_4_attn_proj_bias_to_fp16, weight = model_pretrained_blocks_4_attn_proj_weight_to_fp16, x = input_85_cast_fp16)[name = tensor<string, []>("linear_17_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_4_ls1_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_ls1_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(16895680)))];
-            tensor<fp16, [1, 1370, 384]> var_399_cast_fp16 = mul(x = linear_17_cast_fp16, y = model_pretrained_blocks_4_ls1_gamma_to_fp16)[name = tensor<string, []>("op_399_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_89_cast_fp16 = add(x = input_81_cast_fp16, y = var_399_cast_fp16)[name = tensor<string, []>("input_89_cast_fp16")];
-            tensor<int32, [1]> input_91_axes_0 = const()[name = tensor<string, []>("input_91_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_4_norm2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_norm2_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(16896512)))];
-            tensor<fp16, [384]> model_pretrained_blocks_4_norm2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_norm2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(16897344)))];
-            tensor<fp16, [1, 1370, 384]> input_91_cast_fp16 = layer_norm(axes = input_91_axes_0, beta = model_pretrained_blocks_4_norm2_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_4_norm2_weight_to_fp16, x = input_89_cast_fp16)[name = tensor<string, []>("input_91_cast_fp16")];
-            tensor<fp16, [1536, 384]> model_pretrained_blocks_4_mlp_fc1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_mlp_fc1_weight_to_fp16"), val = tensor<fp16, [1536, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(16898176)))];
-            tensor<fp16, [1536]> model_pretrained_blocks_4_mlp_fc1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_mlp_fc1_bias_to_fp16"), val = tensor<fp16, [1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18077888)))];
-            tensor<fp16, [1, 1370, 1536]> linear_18_cast_fp16 = linear(bias = model_pretrained_blocks_4_mlp_fc1_bias_to_fp16, weight = model_pretrained_blocks_4_mlp_fc1_weight_to_fp16, x = input_91_cast_fp16)[name = tensor<string, []>("linear_18_cast_fp16")];
-            tensor<string, []> input_95_mode_0 = const()[name = tensor<string, []>("input_95_mode_0"), val = tensor<string, []>("EXACT")];
-            tensor<fp16, [1, 1370, 1536]> input_95_cast_fp16 = gelu(mode = input_95_mode_0, x = linear_18_cast_fp16)[name = tensor<string, []>("input_95_cast_fp16")];
-            tensor<fp16, [384, 1536]> model_pretrained_blocks_4_mlp_fc2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_mlp_fc2_weight_to_fp16"), val = tensor<fp16, [384, 1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(18081024)))];
-            tensor<fp16, [384]> model_pretrained_blocks_4_mlp_fc2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_mlp_fc2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19260736)))];
-            tensor<fp16, [1, 1370, 384]> linear_19_cast_fp16 = linear(bias = model_pretrained_blocks_4_mlp_fc2_bias_to_fp16, weight = model_pretrained_blocks_4_mlp_fc2_weight_to_fp16, x = input_95_cast_fp16)[name = tensor<string, []>("linear_19_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_4_ls2_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_4_ls2_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19261568)))];
-            tensor<fp16, [1, 1370, 384]> var_417_cast_fp16 = mul(x = linear_19_cast_fp16, y = model_pretrained_blocks_4_ls2_gamma_to_fp16)[name = tensor<string, []>("op_417_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_101_cast_fp16 = add(x = input_89_cast_fp16, y = var_417_cast_fp16)[name = tensor<string, []>("input_101_cast_fp16")];
-            tensor<int32, [1]> x_41_axes_0 = const()[name = tensor<string, []>("x_41_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_5_norm1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_norm1_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19262400)))];
-            tensor<fp16, [384]> model_pretrained_blocks_5_norm1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_norm1_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19263232)))];
-            tensor<fp16, [1, 1370, 384]> x_41_cast_fp16 = layer_norm(axes = x_41_axes_0, beta = model_pretrained_blocks_5_norm1_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_5_norm1_weight_to_fp16, x = input_101_cast_fp16)[name = tensor<string, []>("x_41_cast_fp16")];
-            tensor<fp16, [1152, 384]> model_pretrained_blocks_5_attn_qkv_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_attn_qkv_weight_to_fp16"), val = tensor<fp16, [1152, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(19264064)))];
-            tensor<fp16, [1152]> model_pretrained_blocks_5_attn_qkv_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_attn_qkv_bias_to_fp16"), val = tensor<fp16, [1152]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20148864)))];
-            tensor<fp16, [1, 1370, 1152]> linear_20_cast_fp16 = linear(bias = model_pretrained_blocks_5_attn_qkv_bias_to_fp16, weight = model_pretrained_blocks_5_attn_qkv_weight_to_fp16, x = x_41_cast_fp16)[name = tensor<string, []>("linear_20_cast_fp16")];
-            tensor<int32, [5]> var_440 = const()[name = tensor<string, []>("op_440"), val = tensor<int32, [5]>([1, 1370, 3, 6, 64])];
-            tensor<fp16, [1, 1370, 3, 6, 64]> var_441_cast_fp16 = reshape(shape = var_440, x = linear_20_cast_fp16)[name = tensor<string, []>("op_441_cast_fp16")];
-            tensor<int32, [5]> var_442 = const()[name = tensor<string, []>("op_442"), val = tensor<int32, [5]>([2, 0, 3, 1, 4])];
-            tensor<int32, [5]> var_444_begin_0 = const()[name = tensor<string, []>("op_444_begin_0"), val = tensor<int32, [5]>([0, 0, 0, 0, 0])];
-            tensor<int32, [5]> var_444_end_0 = const()[name = tensor<string, []>("op_444_end_0"), val = tensor<int32, [5]>([1, 1, 6, 1370, 64])];
-            tensor<bool, [5]> var_444_end_mask_0 = const()[name = tensor<string, []>("op_444_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> var_444_squeeze_mask_0 = const()[name = tensor<string, []>("op_444_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [3, 1, 6, 1370, 64]> qkv_11_cast_fp16 = transpose(perm = var_442, x = var_441_cast_fp16)[name = tensor<string, []>("transpose_17")];
-            tensor<fp16, [1, 6, 1370, 64]> var_444_cast_fp16 = slice_by_index(begin = var_444_begin_0, end = var_444_end_0, end_mask = var_444_end_mask_0, squeeze_mask = var_444_squeeze_mask_0, x = qkv_11_cast_fp16)[name = tensor<string, []>("op_444_cast_fp16")];
-            tensor<fp16, []> var_445_to_fp16 = const()[name = tensor<string, []>("op_445_to_fp16"), val = tensor<fp16, []>(0x1p-3)];
-            tensor<fp16, [1, 6, 1370, 64]> q_11_cast_fp16 = mul(x = var_444_cast_fp16, y = var_445_to_fp16)[name = tensor<string, []>("q_11_cast_fp16")];
-            tensor<int32, [5]> k_11_begin_0 = const()[name = tensor<string, []>("k_11_begin_0"), val = tensor<int32, [5]>([1, 0, 0, 0, 0])];
-            tensor<int32, [5]> k_11_end_0 = const()[name = tensor<string, []>("k_11_end_0"), val = tensor<int32, [5]>([2, 1, 6, 1370, 64])];
-            tensor<bool, [5]> k_11_end_mask_0 = const()[name = tensor<string, []>("k_11_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> k_11_squeeze_mask_0 = const()[name = tensor<string, []>("k_11_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> k_11_cast_fp16 = slice_by_index(begin = k_11_begin_0, end = k_11_end_0, end_mask = k_11_end_mask_0, squeeze_mask = k_11_squeeze_mask_0, x = qkv_11_cast_fp16)[name = tensor<string, []>("k_11_cast_fp16")];
-            tensor<int32, [5]> v_11_begin_0 = const()[name = tensor<string, []>("v_11_begin_0"), val = tensor<int32, [5]>([2, 0, 0, 0, 0])];
-            tensor<int32, [5]> v_11_end_0 = const()[name = tensor<string, []>("v_11_end_0"), val = tensor<int32, [5]>([3, 1, 6, 1370, 64])];
-            tensor<bool, [5]> v_11_end_mask_0 = const()[name = tensor<string, []>("v_11_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> v_11_squeeze_mask_0 = const()[name = tensor<string, []>("v_11_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> v_11_cast_fp16 = slice_by_index(begin = v_11_begin_0, end = v_11_end_0, end_mask = v_11_end_mask_0, squeeze_mask = v_11_squeeze_mask_0, x = qkv_11_cast_fp16)[name = tensor<string, []>("v_11_cast_fp16")];
-            tensor<bool, []> attn_21_transpose_x_1 = const()[name = tensor<string, []>("attn_21_transpose_x_1"), val = tensor<bool, []>(false)];
-            tensor<bool, []> attn_21_transpose_y_1 = const()[name = tensor<string, []>("attn_21_transpose_y_1"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 6, 1370, 1370]> attn_21_cast_fp16 = matmul(transpose_x = attn_21_transpose_x_1, transpose_y = attn_21_transpose_y_1, x = q_11_cast_fp16, y = k_11_cast_fp16)[name = tensor<string, []>("attn_21_cast_fp16")];
-            tensor<fp16, [1, 6, 1370, 1370]> input_103_cast_fp16 = softmax(axis = var_25, x = attn_21_cast_fp16)[name = tensor<string, []>("input_103_cast_fp16")];
-            tensor<bool, []> var_453_transpose_x_0 = const()[name = tensor<string, []>("op_453_transpose_x_0"), val = tensor<bool, []>(false)];
-            tensor<bool, []> var_453_transpose_y_0 = const()[name = tensor<string, []>("op_453_transpose_y_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 6, 1370, 64]> var_453_cast_fp16 = matmul(transpose_x = var_453_transpose_x_0, transpose_y = var_453_transpose_y_0, x = input_103_cast_fp16, y = v_11_cast_fp16)[name = tensor<string, []>("op_453_cast_fp16")];
-            tensor<int32, [4]> var_454_perm_0 = const()[name = tensor<string, []>("op_454_perm_0"), val = tensor<int32, [4]>([0, 2, 1, 3])];
-            tensor<int32, [3]> var_455 = const()[name = tensor<string, []>("op_455"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<fp16, [1, 1370, 6, 64]> var_454_cast_fp16 = transpose(perm = var_454_perm_0, x = var_453_cast_fp16)[name = tensor<string, []>("transpose_16")];
-            tensor<fp16, [1, 1370, 384]> input_105_cast_fp16 = reshape(shape = var_455, x = var_454_cast_fp16)[name = tensor<string, []>("input_105_cast_fp16")];
-            tensor<fp16, [384, 384]> model_pretrained_blocks_5_attn_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_attn_proj_weight_to_fp16"), val = tensor<fp16, [384, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20151232)))];
-            tensor<fp16, [384]> model_pretrained_blocks_5_attn_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_attn_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20446208)))];
-            tensor<fp16, [1, 1370, 384]> linear_21_cast_fp16 = linear(bias = model_pretrained_blocks_5_attn_proj_bias_to_fp16, weight = model_pretrained_blocks_5_attn_proj_weight_to_fp16, x = input_105_cast_fp16)[name = tensor<string, []>("linear_21_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_5_ls1_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_ls1_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20447040)))];
-            tensor<fp16, [1, 1370, 384]> var_462_cast_fp16 = mul(x = linear_21_cast_fp16, y = model_pretrained_blocks_5_ls1_gamma_to_fp16)[name = tensor<string, []>("op_462_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_109_cast_fp16 = add(x = input_101_cast_fp16, y = var_462_cast_fp16)[name = tensor<string, []>("input_109_cast_fp16")];
-            tensor<int32, [1]> input_111_axes_0 = const()[name = tensor<string, []>("input_111_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_5_norm2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_norm2_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20447872)))];
-            tensor<fp16, [384]> model_pretrained_blocks_5_norm2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_norm2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20448704)))];
-            tensor<fp16, [1, 1370, 384]> input_111_cast_fp16 = layer_norm(axes = input_111_axes_0, beta = model_pretrained_blocks_5_norm2_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_5_norm2_weight_to_fp16, x = input_109_cast_fp16)[name = tensor<string, []>("input_111_cast_fp16")];
-            tensor<fp16, [1536, 384]> model_pretrained_blocks_5_mlp_fc1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_mlp_fc1_weight_to_fp16"), val = tensor<fp16, [1536, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(20449536)))];
-            tensor<fp16, [1536]> model_pretrained_blocks_5_mlp_fc1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_mlp_fc1_bias_to_fp16"), val = tensor<fp16, [1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(21629248)))];
-            tensor<fp16, [1, 1370, 1536]> linear_22_cast_fp16 = linear(bias = model_pretrained_blocks_5_mlp_fc1_bias_to_fp16, weight = model_pretrained_blocks_5_mlp_fc1_weight_to_fp16, x = input_111_cast_fp16)[name = tensor<string, []>("linear_22_cast_fp16")];
-            tensor<string, []> input_115_mode_0 = const()[name = tensor<string, []>("input_115_mode_0"), val = tensor<string, []>("EXACT")];
-            tensor<fp16, [1, 1370, 1536]> input_115_cast_fp16 = gelu(mode = input_115_mode_0, x = linear_22_cast_fp16)[name = tensor<string, []>("input_115_cast_fp16")];
-            tensor<fp16, [384, 1536]> model_pretrained_blocks_5_mlp_fc2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_mlp_fc2_weight_to_fp16"), val = tensor<fp16, [384, 1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(21632384)))];
-            tensor<fp16, [384]> model_pretrained_blocks_5_mlp_fc2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_mlp_fc2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(22812096)))];
-            tensor<fp16, [1, 1370, 384]> linear_23_cast_fp16 = linear(bias = model_pretrained_blocks_5_mlp_fc2_bias_to_fp16, weight = model_pretrained_blocks_5_mlp_fc2_weight_to_fp16, x = input_115_cast_fp16)[name = tensor<string, []>("linear_23_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_5_ls2_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_5_ls2_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(22812928)))];
-            tensor<fp16, [1, 1370, 384]> var_480_cast_fp16 = mul(x = linear_23_cast_fp16, y = model_pretrained_blocks_5_ls2_gamma_to_fp16)[name = tensor<string, []>("op_480_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_121_cast_fp16 = add(x = input_109_cast_fp16, y = var_480_cast_fp16)[name = tensor<string, []>("input_121_cast_fp16")];
-            tensor<int32, [1]> x_47_axes_0 = const()[name = tensor<string, []>("x_47_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_6_norm1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_norm1_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(22813760)))];
-            tensor<fp16, [384]> model_pretrained_blocks_6_norm1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_norm1_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(22814592)))];
-            tensor<fp16, [1, 1370, 384]> x_47_cast_fp16 = layer_norm(axes = x_47_axes_0, beta = model_pretrained_blocks_6_norm1_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_6_norm1_weight_to_fp16, x = input_121_cast_fp16)[name = tensor<string, []>("x_47_cast_fp16")];
-            tensor<fp16, [1152, 384]> model_pretrained_blocks_6_attn_qkv_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_attn_qkv_weight_to_fp16"), val = tensor<fp16, [1152, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(22815424)))];
-            tensor<fp16, [1152]> model_pretrained_blocks_6_attn_qkv_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_attn_qkv_bias_to_fp16"), val = tensor<fp16, [1152]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23700224)))];
-            tensor<fp16, [1, 1370, 1152]> linear_24_cast_fp16 = linear(bias = model_pretrained_blocks_6_attn_qkv_bias_to_fp16, weight = model_pretrained_blocks_6_attn_qkv_weight_to_fp16, x = x_47_cast_fp16)[name = tensor<string, []>("linear_24_cast_fp16")];
-            tensor<int32, [5]> var_503 = const()[name = tensor<string, []>("op_503"), val = tensor<int32, [5]>([1, 1370, 3, 6, 64])];
-            tensor<fp16, [1, 1370, 3, 6, 64]> var_504_cast_fp16 = reshape(shape = var_503, x = linear_24_cast_fp16)[name = tensor<string, []>("op_504_cast_fp16")];
-            tensor<int32, [5]> var_505 = const()[name = tensor<string, []>("op_505"), val = tensor<int32, [5]>([2, 0, 3, 1, 4])];
-            tensor<int32, [5]> var_507_begin_0 = const()[name = tensor<string, []>("op_507_begin_0"), val = tensor<int32, [5]>([0, 0, 0, 0, 0])];
-            tensor<int32, [5]> var_507_end_0 = const()[name = tensor<string, []>("op_507_end_0"), val = tensor<int32, [5]>([1, 1, 6, 1370, 64])];
-            tensor<bool, [5]> var_507_end_mask_0 = const()[name = tensor<string, []>("op_507_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> var_507_squeeze_mask_0 = const()[name = tensor<string, []>("op_507_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [3, 1, 6, 1370, 64]> qkv_13_cast_fp16 = transpose(perm = var_505, x = var_504_cast_fp16)[name = tensor<string, []>("transpose_15")];
-            tensor<fp16, [1, 6, 1370, 64]> var_507_cast_fp16 = slice_by_index(begin = var_507_begin_0, end = var_507_end_0, end_mask = var_507_end_mask_0, squeeze_mask = var_507_squeeze_mask_0, x = qkv_13_cast_fp16)[name = tensor<string, []>("op_507_cast_fp16")];
-            tensor<fp16, []> var_508_to_fp16 = const()[name = tensor<string, []>("op_508_to_fp16"), val = tensor<fp16, []>(0x1p-3)];
-            tensor<fp16, [1, 6, 1370, 64]> q_13_cast_fp16 = mul(x = var_507_cast_fp16, y = var_508_to_fp16)[name = tensor<string, []>("q_13_cast_fp16")];
-            tensor<int32, [5]> k_13_begin_0 = const()[name = tensor<string, []>("k_13_begin_0"), val = tensor<int32, [5]>([1, 0, 0, 0, 0])];
-            tensor<int32, [5]> k_13_end_0 = const()[name = tensor<string, []>("k_13_end_0"), val = tensor<int32, [5]>([2, 1, 6, 1370, 64])];
-            tensor<bool, [5]> k_13_end_mask_0 = const()[name = tensor<string, []>("k_13_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> k_13_squeeze_mask_0 = const()[name = tensor<string, []>("k_13_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> k_13_cast_fp16 = slice_by_index(begin = k_13_begin_0, end = k_13_end_0, end_mask = k_13_end_mask_0, squeeze_mask = k_13_squeeze_mask_0, x = qkv_13_cast_fp16)[name = tensor<string, []>("k_13_cast_fp16")];
-            tensor<int32, [5]> v_13_begin_0 = const()[name = tensor<string, []>("v_13_begin_0"), val = tensor<int32, [5]>([2, 0, 0, 0, 0])];
-            tensor<int32, [5]> v_13_end_0 = const()[name = tensor<string, []>("v_13_end_0"), val = tensor<int32, [5]>([3, 1, 6, 1370, 64])];
-            tensor<bool, [5]> v_13_end_mask_0 = const()[name = tensor<string, []>("v_13_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> v_13_squeeze_mask_0 = const()[name = tensor<string, []>("v_13_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> v_13_cast_fp16 = slice_by_index(begin = v_13_begin_0, end = v_13_end_0, end_mask = v_13_end_mask_0, squeeze_mask = v_13_squeeze_mask_0, x = qkv_13_cast_fp16)[name = tensor<string, []>("v_13_cast_fp16")];
-            tensor<bool, []> attn_25_transpose_x_1 = const()[name = tensor<string, []>("attn_25_transpose_x_1"), val = tensor<bool, []>(false)];
-            tensor<bool, []> attn_25_transpose_y_1 = const()[name = tensor<string, []>("attn_25_transpose_y_1"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 6, 1370, 1370]> attn_25_cast_fp16 = matmul(transpose_x = attn_25_transpose_x_1, transpose_y = attn_25_transpose_y_1, x = q_13_cast_fp16, y = k_13_cast_fp16)[name = tensor<string, []>("attn_25_cast_fp16")];
-            tensor<fp16, [1, 6, 1370, 1370]> input_123_cast_fp16 = softmax(axis = var_25, x = attn_25_cast_fp16)[name = tensor<string, []>("input_123_cast_fp16")];
-            tensor<bool, []> var_516_transpose_x_0 = const()[name = tensor<string, []>("op_516_transpose_x_0"), val = tensor<bool, []>(false)];
-            tensor<bool, []> var_516_transpose_y_0 = const()[name = tensor<string, []>("op_516_transpose_y_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 6, 1370, 64]> var_516_cast_fp16 = matmul(transpose_x = var_516_transpose_x_0, transpose_y = var_516_transpose_y_0, x = input_123_cast_fp16, y = v_13_cast_fp16)[name = tensor<string, []>("op_516_cast_fp16")];
-            tensor<int32, [4]> var_517_perm_0 = const()[name = tensor<string, []>("op_517_perm_0"), val = tensor<int32, [4]>([0, 2, 1, 3])];
-            tensor<int32, [3]> var_518 = const()[name = tensor<string, []>("op_518"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<fp16, [1, 1370, 6, 64]> var_517_cast_fp16 = transpose(perm = var_517_perm_0, x = var_516_cast_fp16)[name = tensor<string, []>("transpose_14")];
-            tensor<fp16, [1, 1370, 384]> input_125_cast_fp16 = reshape(shape = var_518, x = var_517_cast_fp16)[name = tensor<string, []>("input_125_cast_fp16")];
-            tensor<fp16, [384, 384]> model_pretrained_blocks_6_attn_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_attn_proj_weight_to_fp16"), val = tensor<fp16, [384, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23702592)))];
-            tensor<fp16, [384]> model_pretrained_blocks_6_attn_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_attn_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23997568)))];
-            tensor<fp16, [1, 1370, 384]> linear_25_cast_fp16 = linear(bias = model_pretrained_blocks_6_attn_proj_bias_to_fp16, weight = model_pretrained_blocks_6_attn_proj_weight_to_fp16, x = input_125_cast_fp16)[name = tensor<string, []>("linear_25_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_6_ls1_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_ls1_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23998400)))];
-            tensor<fp16, [1, 1370, 384]> var_525_cast_fp16 = mul(x = linear_25_cast_fp16, y = model_pretrained_blocks_6_ls1_gamma_to_fp16)[name = tensor<string, []>("op_525_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_129_cast_fp16 = add(x = input_121_cast_fp16, y = var_525_cast_fp16)[name = tensor<string, []>("input_129_cast_fp16")];
-            tensor<int32, [1]> input_131_axes_0 = const()[name = tensor<string, []>("input_131_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_6_norm2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_norm2_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(23999232)))];
-            tensor<fp16, [384]> model_pretrained_blocks_6_norm2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_norm2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(24000064)))];
-            tensor<fp16, [1, 1370, 384]> input_131_cast_fp16 = layer_norm(axes = input_131_axes_0, beta = model_pretrained_blocks_6_norm2_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_6_norm2_weight_to_fp16, x = input_129_cast_fp16)[name = tensor<string, []>("input_131_cast_fp16")];
-            tensor<fp16, [1536, 384]> model_pretrained_blocks_6_mlp_fc1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_mlp_fc1_weight_to_fp16"), val = tensor<fp16, [1536, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(24000896)))];
-            tensor<fp16, [1536]> model_pretrained_blocks_6_mlp_fc1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_mlp_fc1_bias_to_fp16"), val = tensor<fp16, [1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(25180608)))];
-            tensor<fp16, [1, 1370, 1536]> linear_26_cast_fp16 = linear(bias = model_pretrained_blocks_6_mlp_fc1_bias_to_fp16, weight = model_pretrained_blocks_6_mlp_fc1_weight_to_fp16, x = input_131_cast_fp16)[name = tensor<string, []>("linear_26_cast_fp16")];
-            tensor<string, []> input_135_mode_0 = const()[name = tensor<string, []>("input_135_mode_0"), val = tensor<string, []>("EXACT")];
-            tensor<fp16, [1, 1370, 1536]> input_135_cast_fp16 = gelu(mode = input_135_mode_0, x = linear_26_cast_fp16)[name = tensor<string, []>("input_135_cast_fp16")];
-            tensor<fp16, [384, 1536]> model_pretrained_blocks_6_mlp_fc2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_mlp_fc2_weight_to_fp16"), val = tensor<fp16, [384, 1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(25183744)))];
-            tensor<fp16, [384]> model_pretrained_blocks_6_mlp_fc2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_mlp_fc2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(26363456)))];
-            tensor<fp16, [1, 1370, 384]> linear_27_cast_fp16 = linear(bias = model_pretrained_blocks_6_mlp_fc2_bias_to_fp16, weight = model_pretrained_blocks_6_mlp_fc2_weight_to_fp16, x = input_135_cast_fp16)[name = tensor<string, []>("linear_27_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_6_ls2_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_6_ls2_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(26364288)))];
-            tensor<fp16, [1, 1370, 384]> var_543_cast_fp16 = mul(x = linear_27_cast_fp16, y = model_pretrained_blocks_6_ls2_gamma_to_fp16)[name = tensor<string, []>("op_543_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_141_cast_fp16 = add(x = input_129_cast_fp16, y = var_543_cast_fp16)[name = tensor<string, []>("input_141_cast_fp16")];
-            tensor<int32, [1]> x_53_axes_0 = const()[name = tensor<string, []>("x_53_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_7_norm1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_norm1_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(26365120)))];
-            tensor<fp16, [384]> model_pretrained_blocks_7_norm1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_norm1_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(26365952)))];
-            tensor<fp16, [1, 1370, 384]> x_53_cast_fp16 = layer_norm(axes = x_53_axes_0, beta = model_pretrained_blocks_7_norm1_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_7_norm1_weight_to_fp16, x = input_141_cast_fp16)[name = tensor<string, []>("x_53_cast_fp16")];
-            tensor<fp16, [1152, 384]> model_pretrained_blocks_7_attn_qkv_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_attn_qkv_weight_to_fp16"), val = tensor<fp16, [1152, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(26366784)))];
-            tensor<fp16, [1152]> model_pretrained_blocks_7_attn_qkv_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_attn_qkv_bias_to_fp16"), val = tensor<fp16, [1152]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(27251584)))];
-            tensor<fp16, [1, 1370, 1152]> linear_28_cast_fp16 = linear(bias = model_pretrained_blocks_7_attn_qkv_bias_to_fp16, weight = model_pretrained_blocks_7_attn_qkv_weight_to_fp16, x = x_53_cast_fp16)[name = tensor<string, []>("linear_28_cast_fp16")];
-            tensor<int32, [5]> var_566 = const()[name = tensor<string, []>("op_566"), val = tensor<int32, [5]>([1, 1370, 3, 6, 64])];
-            tensor<fp16, [1, 1370, 3, 6, 64]> var_567_cast_fp16 = reshape(shape = var_566, x = linear_28_cast_fp16)[name = tensor<string, []>("op_567_cast_fp16")];
-            tensor<int32, [5]> var_568 = const()[name = tensor<string, []>("op_568"), val = tensor<int32, [5]>([2, 0, 3, 1, 4])];
-            tensor<int32, [5]> var_570_begin_0 = const()[name = tensor<string, []>("op_570_begin_0"), val = tensor<int32, [5]>([0, 0, 0, 0, 0])];
-            tensor<int32, [5]> var_570_end_0 = const()[name = tensor<string, []>("op_570_end_0"), val = tensor<int32, [5]>([1, 1, 6, 1370, 64])];
-            tensor<bool, [5]> var_570_end_mask_0 = const()[name = tensor<string, []>("op_570_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> var_570_squeeze_mask_0 = const()[name = tensor<string, []>("op_570_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [3, 1, 6, 1370, 64]> qkv_15_cast_fp16 = transpose(perm = var_568, x = var_567_cast_fp16)[name = tensor<string, []>("transpose_13")];
-            tensor<fp16, [1, 6, 1370, 64]> var_570_cast_fp16 = slice_by_index(begin = var_570_begin_0, end = var_570_end_0, end_mask = var_570_end_mask_0, squeeze_mask = var_570_squeeze_mask_0, x = qkv_15_cast_fp16)[name = tensor<string, []>("op_570_cast_fp16")];
-            tensor<fp16, []> var_571_to_fp16 = const()[name = tensor<string, []>("op_571_to_fp16"), val = tensor<fp16, []>(0x1p-3)];
-            tensor<fp16, [1, 6, 1370, 64]> q_15_cast_fp16 = mul(x = var_570_cast_fp16, y = var_571_to_fp16)[name = tensor<string, []>("q_15_cast_fp16")];
-            tensor<int32, [5]> k_15_begin_0 = const()[name = tensor<string, []>("k_15_begin_0"), val = tensor<int32, [5]>([1, 0, 0, 0, 0])];
-            tensor<int32, [5]> k_15_end_0 = const()[name = tensor<string, []>("k_15_end_0"), val = tensor<int32, [5]>([2, 1, 6, 1370, 64])];
-            tensor<bool, [5]> k_15_end_mask_0 = const()[name = tensor<string, []>("k_15_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> k_15_squeeze_mask_0 = const()[name = tensor<string, []>("k_15_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> k_15_cast_fp16 = slice_by_index(begin = k_15_begin_0, end = k_15_end_0, end_mask = k_15_end_mask_0, squeeze_mask = k_15_squeeze_mask_0, x = qkv_15_cast_fp16)[name = tensor<string, []>("k_15_cast_fp16")];
-            tensor<int32, [5]> v_15_begin_0 = const()[name = tensor<string, []>("v_15_begin_0"), val = tensor<int32, [5]>([2, 0, 0, 0, 0])];
-            tensor<int32, [5]> v_15_end_0 = const()[name = tensor<string, []>("v_15_end_0"), val = tensor<int32, [5]>([3, 1, 6, 1370, 64])];
-            tensor<bool, [5]> v_15_end_mask_0 = const()[name = tensor<string, []>("v_15_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> v_15_squeeze_mask_0 = const()[name = tensor<string, []>("v_15_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> v_15_cast_fp16 = slice_by_index(begin = v_15_begin_0, end = v_15_end_0, end_mask = v_15_end_mask_0, squeeze_mask = v_15_squeeze_mask_0, x = qkv_15_cast_fp16)[name = tensor<string, []>("v_15_cast_fp16")];
-            tensor<bool, []> attn_29_transpose_x_1 = const()[name = tensor<string, []>("attn_29_transpose_x_1"), val = tensor<bool, []>(false)];
-            tensor<bool, []> attn_29_transpose_y_1 = const()[name = tensor<string, []>("attn_29_transpose_y_1"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 6, 1370, 1370]> attn_29_cast_fp16 = matmul(transpose_x = attn_29_transpose_x_1, transpose_y = attn_29_transpose_y_1, x = q_15_cast_fp16, y = k_15_cast_fp16)[name = tensor<string, []>("attn_29_cast_fp16")];
-            tensor<fp16, [1, 6, 1370, 1370]> input_143_cast_fp16 = softmax(axis = var_25, x = attn_29_cast_fp16)[name = tensor<string, []>("input_143_cast_fp16")];
-            tensor<bool, []> var_579_transpose_x_0 = const()[name = tensor<string, []>("op_579_transpose_x_0"), val = tensor<bool, []>(false)];
-            tensor<bool, []> var_579_transpose_y_0 = const()[name = tensor<string, []>("op_579_transpose_y_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 6, 1370, 64]> var_579_cast_fp16 = matmul(transpose_x = var_579_transpose_x_0, transpose_y = var_579_transpose_y_0, x = input_143_cast_fp16, y = v_15_cast_fp16)[name = tensor<string, []>("op_579_cast_fp16")];
-            tensor<int32, [4]> var_580_perm_0 = const()[name = tensor<string, []>("op_580_perm_0"), val = tensor<int32, [4]>([0, 2, 1, 3])];
-            tensor<int32, [3]> var_581 = const()[name = tensor<string, []>("op_581"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<fp16, [1, 1370, 6, 64]> var_580_cast_fp16 = transpose(perm = var_580_perm_0, x = var_579_cast_fp16)[name = tensor<string, []>("transpose_12")];
-            tensor<fp16, [1, 1370, 384]> input_145_cast_fp16 = reshape(shape = var_581, x = var_580_cast_fp16)[name = tensor<string, []>("input_145_cast_fp16")];
-            tensor<fp16, [384, 384]> model_pretrained_blocks_7_attn_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_attn_proj_weight_to_fp16"), val = tensor<fp16, [384, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(27253952)))];
-            tensor<fp16, [384]> model_pretrained_blocks_7_attn_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_attn_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(27548928)))];
-            tensor<fp16, [1, 1370, 384]> linear_29_cast_fp16 = linear(bias = model_pretrained_blocks_7_attn_proj_bias_to_fp16, weight = model_pretrained_blocks_7_attn_proj_weight_to_fp16, x = input_145_cast_fp16)[name = tensor<string, []>("linear_29_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_7_ls1_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_ls1_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(27549760)))];
-            tensor<fp16, [1, 1370, 384]> var_588_cast_fp16 = mul(x = linear_29_cast_fp16, y = model_pretrained_blocks_7_ls1_gamma_to_fp16)[name = tensor<string, []>("op_588_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_149_cast_fp16 = add(x = input_141_cast_fp16, y = var_588_cast_fp16)[name = tensor<string, []>("input_149_cast_fp16")];
-            tensor<int32, [1]> input_151_axes_0 = const()[name = tensor<string, []>("input_151_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_7_norm2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_norm2_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(27550592)))];
-            tensor<fp16, [384]> model_pretrained_blocks_7_norm2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_norm2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(27551424)))];
-            tensor<fp16, [1, 1370, 384]> input_151_cast_fp16 = layer_norm(axes = input_151_axes_0, beta = model_pretrained_blocks_7_norm2_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_7_norm2_weight_to_fp16, x = input_149_cast_fp16)[name = tensor<string, []>("input_151_cast_fp16")];
-            tensor<fp16, [1536, 384]> model_pretrained_blocks_7_mlp_fc1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_mlp_fc1_weight_to_fp16"), val = tensor<fp16, [1536, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(27552256)))];
-            tensor<fp16, [1536]> model_pretrained_blocks_7_mlp_fc1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_mlp_fc1_bias_to_fp16"), val = tensor<fp16, [1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(28731968)))];
-            tensor<fp16, [1, 1370, 1536]> linear_30_cast_fp16 = linear(bias = model_pretrained_blocks_7_mlp_fc1_bias_to_fp16, weight = model_pretrained_blocks_7_mlp_fc1_weight_to_fp16, x = input_151_cast_fp16)[name = tensor<string, []>("linear_30_cast_fp16")];
-            tensor<string, []> input_155_mode_0 = const()[name = tensor<string, []>("input_155_mode_0"), val = tensor<string, []>("EXACT")];
-            tensor<fp16, [1, 1370, 1536]> input_155_cast_fp16 = gelu(mode = input_155_mode_0, x = linear_30_cast_fp16)[name = tensor<string, []>("input_155_cast_fp16")];
-            tensor<fp16, [384, 1536]> model_pretrained_blocks_7_mlp_fc2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_mlp_fc2_weight_to_fp16"), val = tensor<fp16, [384, 1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(28735104)))];
-            tensor<fp16, [384]> model_pretrained_blocks_7_mlp_fc2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_mlp_fc2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29914816)))];
-            tensor<fp16, [1, 1370, 384]> linear_31_cast_fp16 = linear(bias = model_pretrained_blocks_7_mlp_fc2_bias_to_fp16, weight = model_pretrained_blocks_7_mlp_fc2_weight_to_fp16, x = input_155_cast_fp16)[name = tensor<string, []>("linear_31_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_7_ls2_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_7_ls2_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29915648)))];
-            tensor<fp16, [1, 1370, 384]> var_606_cast_fp16 = mul(x = linear_31_cast_fp16, y = model_pretrained_blocks_7_ls2_gamma_to_fp16)[name = tensor<string, []>("op_606_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_161_cast_fp16 = add(x = input_149_cast_fp16, y = var_606_cast_fp16)[name = tensor<string, []>("input_161_cast_fp16")];
-            tensor<int32, [1]> x_59_axes_0 = const()[name = tensor<string, []>("x_59_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_8_norm1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_norm1_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29916480)))];
-            tensor<fp16, [384]> model_pretrained_blocks_8_norm1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_norm1_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29917312)))];
-            tensor<fp16, [1, 1370, 384]> x_59_cast_fp16 = layer_norm(axes = x_59_axes_0, beta = model_pretrained_blocks_8_norm1_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_8_norm1_weight_to_fp16, x = input_161_cast_fp16)[name = tensor<string, []>("x_59_cast_fp16")];
-            tensor<fp16, [1152, 384]> model_pretrained_blocks_8_attn_qkv_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_attn_qkv_weight_to_fp16"), val = tensor<fp16, [1152, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(29918144)))];
-            tensor<fp16, [1152]> model_pretrained_blocks_8_attn_qkv_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_attn_qkv_bias_to_fp16"), val = tensor<fp16, [1152]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(30802944)))];
-            tensor<fp16, [1, 1370, 1152]> linear_32_cast_fp16 = linear(bias = model_pretrained_blocks_8_attn_qkv_bias_to_fp16, weight = model_pretrained_blocks_8_attn_qkv_weight_to_fp16, x = x_59_cast_fp16)[name = tensor<string, []>("linear_32_cast_fp16")];
-            tensor<int32, [5]> var_629 = const()[name = tensor<string, []>("op_629"), val = tensor<int32, [5]>([1, 1370, 3, 6, 64])];
-            tensor<fp16, [1, 1370, 3, 6, 64]> var_630_cast_fp16 = reshape(shape = var_629, x = linear_32_cast_fp16)[name = tensor<string, []>("op_630_cast_fp16")];
-            tensor<int32, [5]> var_631 = const()[name = tensor<string, []>("op_631"), val = tensor<int32, [5]>([2, 0, 3, 1, 4])];
-            tensor<int32, [5]> var_633_begin_0 = const()[name = tensor<string, []>("op_633_begin_0"), val = tensor<int32, [5]>([0, 0, 0, 0, 0])];
-            tensor<int32, [5]> var_633_end_0 = const()[name = tensor<string, []>("op_633_end_0"), val = tensor<int32, [5]>([1, 1, 6, 1370, 64])];
-            tensor<bool, [5]> var_633_end_mask_0 = const()[name = tensor<string, []>("op_633_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> var_633_squeeze_mask_0 = const()[name = tensor<string, []>("op_633_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [3, 1, 6, 1370, 64]> qkv_17_cast_fp16 = transpose(perm = var_631, x = var_630_cast_fp16)[name = tensor<string, []>("transpose_11")];
-            tensor<fp16, [1, 6, 1370, 64]> var_633_cast_fp16 = slice_by_index(begin = var_633_begin_0, end = var_633_end_0, end_mask = var_633_end_mask_0, squeeze_mask = var_633_squeeze_mask_0, x = qkv_17_cast_fp16)[name = tensor<string, []>("op_633_cast_fp16")];
-            tensor<fp16, []> var_634_to_fp16 = const()[name = tensor<string, []>("op_634_to_fp16"), val = tensor<fp16, []>(0x1p-3)];
-            tensor<fp16, [1, 6, 1370, 64]> q_17_cast_fp16 = mul(x = var_633_cast_fp16, y = var_634_to_fp16)[name = tensor<string, []>("q_17_cast_fp16")];
-            tensor<int32, [5]> k_17_begin_0 = const()[name = tensor<string, []>("k_17_begin_0"), val = tensor<int32, [5]>([1, 0, 0, 0, 0])];
-            tensor<int32, [5]> k_17_end_0 = const()[name = tensor<string, []>("k_17_end_0"), val = tensor<int32, [5]>([2, 1, 6, 1370, 64])];
-            tensor<bool, [5]> k_17_end_mask_0 = const()[name = tensor<string, []>("k_17_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> k_17_squeeze_mask_0 = const()[name = tensor<string, []>("k_17_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> k_17_cast_fp16 = slice_by_index(begin = k_17_begin_0, end = k_17_end_0, end_mask = k_17_end_mask_0, squeeze_mask = k_17_squeeze_mask_0, x = qkv_17_cast_fp16)[name = tensor<string, []>("k_17_cast_fp16")];
-            tensor<int32, [5]> v_17_begin_0 = const()[name = tensor<string, []>("v_17_begin_0"), val = tensor<int32, [5]>([2, 0, 0, 0, 0])];
-            tensor<int32, [5]> v_17_end_0 = const()[name = tensor<string, []>("v_17_end_0"), val = tensor<int32, [5]>([3, 1, 6, 1370, 64])];
-            tensor<bool, [5]> v_17_end_mask_0 = const()[name = tensor<string, []>("v_17_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> v_17_squeeze_mask_0 = const()[name = tensor<string, []>("v_17_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> v_17_cast_fp16 = slice_by_index(begin = v_17_begin_0, end = v_17_end_0, end_mask = v_17_end_mask_0, squeeze_mask = v_17_squeeze_mask_0, x = qkv_17_cast_fp16)[name = tensor<string, []>("v_17_cast_fp16")];
-            tensor<bool, []> attn_33_transpose_x_1 = const()[name = tensor<string, []>("attn_33_transpose_x_1"), val = tensor<bool, []>(false)];
-            tensor<bool, []> attn_33_transpose_y_1 = const()[name = tensor<string, []>("attn_33_transpose_y_1"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 6, 1370, 1370]> attn_33_cast_fp16 = matmul(transpose_x = attn_33_transpose_x_1, transpose_y = attn_33_transpose_y_1, x = q_17_cast_fp16, y = k_17_cast_fp16)[name = tensor<string, []>("attn_33_cast_fp16")];
-            tensor<fp16, [1, 6, 1370, 1370]> input_163_cast_fp16 = softmax(axis = var_25, x = attn_33_cast_fp16)[name = tensor<string, []>("input_163_cast_fp16")];
-            tensor<bool, []> var_642_transpose_x_0 = const()[name = tensor<string, []>("op_642_transpose_x_0"), val = tensor<bool, []>(false)];
-            tensor<bool, []> var_642_transpose_y_0 = const()[name = tensor<string, []>("op_642_transpose_y_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 6, 1370, 64]> var_642_cast_fp16 = matmul(transpose_x = var_642_transpose_x_0, transpose_y = var_642_transpose_y_0, x = input_163_cast_fp16, y = v_17_cast_fp16)[name = tensor<string, []>("op_642_cast_fp16")];
-            tensor<int32, [4]> var_643_perm_0 = const()[name = tensor<string, []>("op_643_perm_0"), val = tensor<int32, [4]>([0, 2, 1, 3])];
-            tensor<int32, [3]> var_644 = const()[name = tensor<string, []>("op_644"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<fp16, [1, 1370, 6, 64]> var_643_cast_fp16 = transpose(perm = var_643_perm_0, x = var_642_cast_fp16)[name = tensor<string, []>("transpose_10")];
-            tensor<fp16, [1, 1370, 384]> input_165_cast_fp16 = reshape(shape = var_644, x = var_643_cast_fp16)[name = tensor<string, []>("input_165_cast_fp16")];
-            tensor<fp16, [384, 384]> model_pretrained_blocks_8_attn_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_attn_proj_weight_to_fp16"), val = tensor<fp16, [384, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(30805312)))];
-            tensor<fp16, [384]> model_pretrained_blocks_8_attn_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_attn_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(31100288)))];
-            tensor<fp16, [1, 1370, 384]> linear_33_cast_fp16 = linear(bias = model_pretrained_blocks_8_attn_proj_bias_to_fp16, weight = model_pretrained_blocks_8_attn_proj_weight_to_fp16, x = input_165_cast_fp16)[name = tensor<string, []>("linear_33_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_8_ls1_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_ls1_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(31101120)))];
-            tensor<fp16, [1, 1370, 384]> var_651_cast_fp16 = mul(x = linear_33_cast_fp16, y = model_pretrained_blocks_8_ls1_gamma_to_fp16)[name = tensor<string, []>("op_651_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_169_cast_fp16 = add(x = input_161_cast_fp16, y = var_651_cast_fp16)[name = tensor<string, []>("input_169_cast_fp16")];
-            tensor<int32, [1]> input_171_axes_0 = const()[name = tensor<string, []>("input_171_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_8_norm2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_norm2_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(31101952)))];
-            tensor<fp16, [384]> model_pretrained_blocks_8_norm2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_norm2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(31102784)))];
-            tensor<fp16, [1, 1370, 384]> input_171_cast_fp16 = layer_norm(axes = input_171_axes_0, beta = model_pretrained_blocks_8_norm2_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_8_norm2_weight_to_fp16, x = input_169_cast_fp16)[name = tensor<string, []>("input_171_cast_fp16")];
-            tensor<fp16, [1536, 384]> model_pretrained_blocks_8_mlp_fc1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_mlp_fc1_weight_to_fp16"), val = tensor<fp16, [1536, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(31103616)))];
-            tensor<fp16, [1536]> model_pretrained_blocks_8_mlp_fc1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_mlp_fc1_bias_to_fp16"), val = tensor<fp16, [1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(32283328)))];
-            tensor<fp16, [1, 1370, 1536]> linear_34_cast_fp16 = linear(bias = model_pretrained_blocks_8_mlp_fc1_bias_to_fp16, weight = model_pretrained_blocks_8_mlp_fc1_weight_to_fp16, x = input_171_cast_fp16)[name = tensor<string, []>("linear_34_cast_fp16")];
-            tensor<string, []> input_175_mode_0 = const()[name = tensor<string, []>("input_175_mode_0"), val = tensor<string, []>("EXACT")];
-            tensor<fp16, [1, 1370, 1536]> input_175_cast_fp16 = gelu(mode = input_175_mode_0, x = linear_34_cast_fp16)[name = tensor<string, []>("input_175_cast_fp16")];
-            tensor<fp16, [384, 1536]> model_pretrained_blocks_8_mlp_fc2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_mlp_fc2_weight_to_fp16"), val = tensor<fp16, [384, 1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(32286464)))];
-            tensor<fp16, [384]> model_pretrained_blocks_8_mlp_fc2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_mlp_fc2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(33466176)))];
-            tensor<fp16, [1, 1370, 384]> linear_35_cast_fp16 = linear(bias = model_pretrained_blocks_8_mlp_fc2_bias_to_fp16, weight = model_pretrained_blocks_8_mlp_fc2_weight_to_fp16, x = input_175_cast_fp16)[name = tensor<string, []>("linear_35_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_8_ls2_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_8_ls2_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(33467008)))];
-            tensor<fp16, [1, 1370, 384]> var_669_cast_fp16 = mul(x = linear_35_cast_fp16, y = model_pretrained_blocks_8_ls2_gamma_to_fp16)[name = tensor<string, []>("op_669_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_181_cast_fp16 = add(x = input_169_cast_fp16, y = var_669_cast_fp16)[name = tensor<string, []>("input_181_cast_fp16")];
-            tensor<int32, [1]> x_65_axes_0 = const()[name = tensor<string, []>("x_65_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_9_norm1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_norm1_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(33467840)))];
-            tensor<fp16, [384]> model_pretrained_blocks_9_norm1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_norm1_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(33468672)))];
-            tensor<fp16, [1, 1370, 384]> x_65_cast_fp16 = layer_norm(axes = x_65_axes_0, beta = model_pretrained_blocks_9_norm1_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_9_norm1_weight_to_fp16, x = input_181_cast_fp16)[name = tensor<string, []>("x_65_cast_fp16")];
-            tensor<fp16, [1152, 384]> model_pretrained_blocks_9_attn_qkv_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_attn_qkv_weight_to_fp16"), val = tensor<fp16, [1152, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(33469504)))];
-            tensor<fp16, [1152]> model_pretrained_blocks_9_attn_qkv_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_attn_qkv_bias_to_fp16"), val = tensor<fp16, [1152]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34354304)))];
-            tensor<fp16, [1, 1370, 1152]> linear_36_cast_fp16 = linear(bias = model_pretrained_blocks_9_attn_qkv_bias_to_fp16, weight = model_pretrained_blocks_9_attn_qkv_weight_to_fp16, x = x_65_cast_fp16)[name = tensor<string, []>("linear_36_cast_fp16")];
-            tensor<int32, [5]> var_692 = const()[name = tensor<string, []>("op_692"), val = tensor<int32, [5]>([1, 1370, 3, 6, 64])];
-            tensor<fp16, [1, 1370, 3, 6, 64]> var_693_cast_fp16 = reshape(shape = var_692, x = linear_36_cast_fp16)[name = tensor<string, []>("op_693_cast_fp16")];
-            tensor<int32, [5]> var_694 = const()[name = tensor<string, []>("op_694"), val = tensor<int32, [5]>([2, 0, 3, 1, 4])];
-            tensor<int32, [5]> var_696_begin_0 = const()[name = tensor<string, []>("op_696_begin_0"), val = tensor<int32, [5]>([0, 0, 0, 0, 0])];
-            tensor<int32, [5]> var_696_end_0 = const()[name = tensor<string, []>("op_696_end_0"), val = tensor<int32, [5]>([1, 1, 6, 1370, 64])];
-            tensor<bool, [5]> var_696_end_mask_0 = const()[name = tensor<string, []>("op_696_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> var_696_squeeze_mask_0 = const()[name = tensor<string, []>("op_696_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [3, 1, 6, 1370, 64]> qkv_19_cast_fp16 = transpose(perm = var_694, x = var_693_cast_fp16)[name = tensor<string, []>("transpose_9")];
-            tensor<fp16, [1, 6, 1370, 64]> var_696_cast_fp16 = slice_by_index(begin = var_696_begin_0, end = var_696_end_0, end_mask = var_696_end_mask_0, squeeze_mask = var_696_squeeze_mask_0, x = qkv_19_cast_fp16)[name = tensor<string, []>("op_696_cast_fp16")];
-            tensor<fp16, []> var_697_to_fp16 = const()[name = tensor<string, []>("op_697_to_fp16"), val = tensor<fp16, []>(0x1p-3)];
-            tensor<fp16, [1, 6, 1370, 64]> q_19_cast_fp16 = mul(x = var_696_cast_fp16, y = var_697_to_fp16)[name = tensor<string, []>("q_19_cast_fp16")];
-            tensor<int32, [5]> k_19_begin_0 = const()[name = tensor<string, []>("k_19_begin_0"), val = tensor<int32, [5]>([1, 0, 0, 0, 0])];
-            tensor<int32, [5]> k_19_end_0 = const()[name = tensor<string, []>("k_19_end_0"), val = tensor<int32, [5]>([2, 1, 6, 1370, 64])];
-            tensor<bool, [5]> k_19_end_mask_0 = const()[name = tensor<string, []>("k_19_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> k_19_squeeze_mask_0 = const()[name = tensor<string, []>("k_19_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> k_19_cast_fp16 = slice_by_index(begin = k_19_begin_0, end = k_19_end_0, end_mask = k_19_end_mask_0, squeeze_mask = k_19_squeeze_mask_0, x = qkv_19_cast_fp16)[name = tensor<string, []>("k_19_cast_fp16")];
-            tensor<int32, [5]> v_19_begin_0 = const()[name = tensor<string, []>("v_19_begin_0"), val = tensor<int32, [5]>([2, 0, 0, 0, 0])];
-            tensor<int32, [5]> v_19_end_0 = const()[name = tensor<string, []>("v_19_end_0"), val = tensor<int32, [5]>([3, 1, 6, 1370, 64])];
-            tensor<bool, [5]> v_19_end_mask_0 = const()[name = tensor<string, []>("v_19_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> v_19_squeeze_mask_0 = const()[name = tensor<string, []>("v_19_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> v_19_cast_fp16 = slice_by_index(begin = v_19_begin_0, end = v_19_end_0, end_mask = v_19_end_mask_0, squeeze_mask = v_19_squeeze_mask_0, x = qkv_19_cast_fp16)[name = tensor<string, []>("v_19_cast_fp16")];
-            tensor<bool, []> attn_37_transpose_x_1 = const()[name = tensor<string, []>("attn_37_transpose_x_1"), val = tensor<bool, []>(false)];
-            tensor<bool, []> attn_37_transpose_y_1 = const()[name = tensor<string, []>("attn_37_transpose_y_1"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 6, 1370, 1370]> attn_37_cast_fp16 = matmul(transpose_x = attn_37_transpose_x_1, transpose_y = attn_37_transpose_y_1, x = q_19_cast_fp16, y = k_19_cast_fp16)[name = tensor<string, []>("attn_37_cast_fp16")];
-            tensor<fp16, [1, 6, 1370, 1370]> input_183_cast_fp16 = softmax(axis = var_25, x = attn_37_cast_fp16)[name = tensor<string, []>("input_183_cast_fp16")];
-            tensor<bool, []> var_705_transpose_x_0 = const()[name = tensor<string, []>("op_705_transpose_x_0"), val = tensor<bool, []>(false)];
-            tensor<bool, []> var_705_transpose_y_0 = const()[name = tensor<string, []>("op_705_transpose_y_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 6, 1370, 64]> var_705_cast_fp16 = matmul(transpose_x = var_705_transpose_x_0, transpose_y = var_705_transpose_y_0, x = input_183_cast_fp16, y = v_19_cast_fp16)[name = tensor<string, []>("op_705_cast_fp16")];
-            tensor<int32, [4]> var_706_perm_0 = const()[name = tensor<string, []>("op_706_perm_0"), val = tensor<int32, [4]>([0, 2, 1, 3])];
-            tensor<int32, [3]> var_707 = const()[name = tensor<string, []>("op_707"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<fp16, [1, 1370, 6, 64]> var_706_cast_fp16 = transpose(perm = var_706_perm_0, x = var_705_cast_fp16)[name = tensor<string, []>("transpose_8")];
-            tensor<fp16, [1, 1370, 384]> input_185_cast_fp16 = reshape(shape = var_707, x = var_706_cast_fp16)[name = tensor<string, []>("input_185_cast_fp16")];
-            tensor<fp16, [384, 384]> model_pretrained_blocks_9_attn_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_attn_proj_weight_to_fp16"), val = tensor<fp16, [384, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34356672)))];
-            tensor<fp16, [384]> model_pretrained_blocks_9_attn_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_attn_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34651648)))];
-            tensor<fp16, [1, 1370, 384]> linear_37_cast_fp16 = linear(bias = model_pretrained_blocks_9_attn_proj_bias_to_fp16, weight = model_pretrained_blocks_9_attn_proj_weight_to_fp16, x = input_185_cast_fp16)[name = tensor<string, []>("linear_37_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_9_ls1_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_ls1_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34652480)))];
-            tensor<fp16, [1, 1370, 384]> var_714_cast_fp16 = mul(x = linear_37_cast_fp16, y = model_pretrained_blocks_9_ls1_gamma_to_fp16)[name = tensor<string, []>("op_714_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_189_cast_fp16 = add(x = input_181_cast_fp16, y = var_714_cast_fp16)[name = tensor<string, []>("input_189_cast_fp16")];
-            tensor<int32, [1]> input_191_axes_0 = const()[name = tensor<string, []>("input_191_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_9_norm2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_norm2_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34653312)))];
-            tensor<fp16, [384]> model_pretrained_blocks_9_norm2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_norm2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34654144)))];
-            tensor<fp16, [1, 1370, 384]> input_191_cast_fp16 = layer_norm(axes = input_191_axes_0, beta = model_pretrained_blocks_9_norm2_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_9_norm2_weight_to_fp16, x = input_189_cast_fp16)[name = tensor<string, []>("input_191_cast_fp16")];
-            tensor<fp16, [1536, 384]> model_pretrained_blocks_9_mlp_fc1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_mlp_fc1_weight_to_fp16"), val = tensor<fp16, [1536, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(34654976)))];
-            tensor<fp16, [1536]> model_pretrained_blocks_9_mlp_fc1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_mlp_fc1_bias_to_fp16"), val = tensor<fp16, [1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35834688)))];
-            tensor<fp16, [1, 1370, 1536]> linear_38_cast_fp16 = linear(bias = model_pretrained_blocks_9_mlp_fc1_bias_to_fp16, weight = model_pretrained_blocks_9_mlp_fc1_weight_to_fp16, x = input_191_cast_fp16)[name = tensor<string, []>("linear_38_cast_fp16")];
-            tensor<string, []> input_195_mode_0 = const()[name = tensor<string, []>("input_195_mode_0"), val = tensor<string, []>("EXACT")];
-            tensor<fp16, [1, 1370, 1536]> input_195_cast_fp16 = gelu(mode = input_195_mode_0, x = linear_38_cast_fp16)[name = tensor<string, []>("input_195_cast_fp16")];
-            tensor<fp16, [384, 1536]> model_pretrained_blocks_9_mlp_fc2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_mlp_fc2_weight_to_fp16"), val = tensor<fp16, [384, 1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(35837824)))];
-            tensor<fp16, [384]> model_pretrained_blocks_9_mlp_fc2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_mlp_fc2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(37017536)))];
-            tensor<fp16, [1, 1370, 384]> linear_39_cast_fp16 = linear(bias = model_pretrained_blocks_9_mlp_fc2_bias_to_fp16, weight = model_pretrained_blocks_9_mlp_fc2_weight_to_fp16, x = input_195_cast_fp16)[name = tensor<string, []>("linear_39_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_9_ls2_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_9_ls2_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(37018368)))];
-            tensor<fp16, [1, 1370, 384]> var_732_cast_fp16 = mul(x = linear_39_cast_fp16, y = model_pretrained_blocks_9_ls2_gamma_to_fp16)[name = tensor<string, []>("op_732_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_201_cast_fp16 = add(x = input_189_cast_fp16, y = var_732_cast_fp16)[name = tensor<string, []>("input_201_cast_fp16")];
-            tensor<int32, [1]> x_71_axes_0 = const()[name = tensor<string, []>("x_71_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_10_norm1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_norm1_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(37019200)))];
-            tensor<fp16, [384]> model_pretrained_blocks_10_norm1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_norm1_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(37020032)))];
-            tensor<fp16, [1, 1370, 384]> x_71_cast_fp16 = layer_norm(axes = x_71_axes_0, beta = model_pretrained_blocks_10_norm1_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_10_norm1_weight_to_fp16, x = input_201_cast_fp16)[name = tensor<string, []>("x_71_cast_fp16")];
-            tensor<fp16, [1152, 384]> model_pretrained_blocks_10_attn_qkv_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_attn_qkv_weight_to_fp16"), val = tensor<fp16, [1152, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(37020864)))];
-            tensor<fp16, [1152]> model_pretrained_blocks_10_attn_qkv_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_attn_qkv_bias_to_fp16"), val = tensor<fp16, [1152]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(37905664)))];
-            tensor<fp16, [1, 1370, 1152]> linear_40_cast_fp16 = linear(bias = model_pretrained_blocks_10_attn_qkv_bias_to_fp16, weight = model_pretrained_blocks_10_attn_qkv_weight_to_fp16, x = x_71_cast_fp16)[name = tensor<string, []>("linear_40_cast_fp16")];
-            tensor<int32, [5]> var_755 = const()[name = tensor<string, []>("op_755"), val = tensor<int32, [5]>([1, 1370, 3, 6, 64])];
-            tensor<fp16, [1, 1370, 3, 6, 64]> var_756_cast_fp16 = reshape(shape = var_755, x = linear_40_cast_fp16)[name = tensor<string, []>("op_756_cast_fp16")];
-            tensor<int32, [5]> var_757 = const()[name = tensor<string, []>("op_757"), val = tensor<int32, [5]>([2, 0, 3, 1, 4])];
-            tensor<int32, [5]> var_759_begin_0 = const()[name = tensor<string, []>("op_759_begin_0"), val = tensor<int32, [5]>([0, 0, 0, 0, 0])];
-            tensor<int32, [5]> var_759_end_0 = const()[name = tensor<string, []>("op_759_end_0"), val = tensor<int32, [5]>([1, 1, 6, 1370, 64])];
-            tensor<bool, [5]> var_759_end_mask_0 = const()[name = tensor<string, []>("op_759_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> var_759_squeeze_mask_0 = const()[name = tensor<string, []>("op_759_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [3, 1, 6, 1370, 64]> qkv_21_cast_fp16 = transpose(perm = var_757, x = var_756_cast_fp16)[name = tensor<string, []>("transpose_7")];
-            tensor<fp16, [1, 6, 1370, 64]> var_759_cast_fp16 = slice_by_index(begin = var_759_begin_0, end = var_759_end_0, end_mask = var_759_end_mask_0, squeeze_mask = var_759_squeeze_mask_0, x = qkv_21_cast_fp16)[name = tensor<string, []>("op_759_cast_fp16")];
-            tensor<fp16, []> var_760_to_fp16 = const()[name = tensor<string, []>("op_760_to_fp16"), val = tensor<fp16, []>(0x1p-3)];
-            tensor<fp16, [1, 6, 1370, 64]> q_21_cast_fp16 = mul(x = var_759_cast_fp16, y = var_760_to_fp16)[name = tensor<string, []>("q_21_cast_fp16")];
-            tensor<int32, [5]> k_21_begin_0 = const()[name = tensor<string, []>("k_21_begin_0"), val = tensor<int32, [5]>([1, 0, 0, 0, 0])];
-            tensor<int32, [5]> k_21_end_0 = const()[name = tensor<string, []>("k_21_end_0"), val = tensor<int32, [5]>([2, 1, 6, 1370, 64])];
-            tensor<bool, [5]> k_21_end_mask_0 = const()[name = tensor<string, []>("k_21_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> k_21_squeeze_mask_0 = const()[name = tensor<string, []>("k_21_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> k_21_cast_fp16 = slice_by_index(begin = k_21_begin_0, end = k_21_end_0, end_mask = k_21_end_mask_0, squeeze_mask = k_21_squeeze_mask_0, x = qkv_21_cast_fp16)[name = tensor<string, []>("k_21_cast_fp16")];
-            tensor<int32, [5]> v_21_begin_0 = const()[name = tensor<string, []>("v_21_begin_0"), val = tensor<int32, [5]>([2, 0, 0, 0, 0])];
-            tensor<int32, [5]> v_21_end_0 = const()[name = tensor<string, []>("v_21_end_0"), val = tensor<int32, [5]>([3, 1, 6, 1370, 64])];
-            tensor<bool, [5]> v_21_end_mask_0 = const()[name = tensor<string, []>("v_21_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> v_21_squeeze_mask_0 = const()[name = tensor<string, []>("v_21_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> v_21_cast_fp16 = slice_by_index(begin = v_21_begin_0, end = v_21_end_0, end_mask = v_21_end_mask_0, squeeze_mask = v_21_squeeze_mask_0, x = qkv_21_cast_fp16)[name = tensor<string, []>("v_21_cast_fp16")];
-            tensor<bool, []> attn_41_transpose_x_1 = const()[name = tensor<string, []>("attn_41_transpose_x_1"), val = tensor<bool, []>(false)];
-            tensor<bool, []> attn_41_transpose_y_1 = const()[name = tensor<string, []>("attn_41_transpose_y_1"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 6, 1370, 1370]> attn_41_cast_fp16 = matmul(transpose_x = attn_41_transpose_x_1, transpose_y = attn_41_transpose_y_1, x = q_21_cast_fp16, y = k_21_cast_fp16)[name = tensor<string, []>("attn_41_cast_fp16")];
-            tensor<fp16, [1, 6, 1370, 1370]> input_203_cast_fp16 = softmax(axis = var_25, x = attn_41_cast_fp16)[name = tensor<string, []>("input_203_cast_fp16")];
-            tensor<bool, []> var_768_transpose_x_0 = const()[name = tensor<string, []>("op_768_transpose_x_0"), val = tensor<bool, []>(false)];
-            tensor<bool, []> var_768_transpose_y_0 = const()[name = tensor<string, []>("op_768_transpose_y_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 6, 1370, 64]> var_768_cast_fp16 = matmul(transpose_x = var_768_transpose_x_0, transpose_y = var_768_transpose_y_0, x = input_203_cast_fp16, y = v_21_cast_fp16)[name = tensor<string, []>("op_768_cast_fp16")];
-            tensor<int32, [4]> var_769_perm_0 = const()[name = tensor<string, []>("op_769_perm_0"), val = tensor<int32, [4]>([0, 2, 1, 3])];
-            tensor<int32, [3]> var_770 = const()[name = tensor<string, []>("op_770"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<fp16, [1, 1370, 6, 64]> var_769_cast_fp16 = transpose(perm = var_769_perm_0, x = var_768_cast_fp16)[name = tensor<string, []>("transpose_6")];
-            tensor<fp16, [1, 1370, 384]> input_205_cast_fp16 = reshape(shape = var_770, x = var_769_cast_fp16)[name = tensor<string, []>("input_205_cast_fp16")];
-            tensor<fp16, [384, 384]> model_pretrained_blocks_10_attn_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_attn_proj_weight_to_fp16"), val = tensor<fp16, [384, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(37908032)))];
-            tensor<fp16, [384]> model_pretrained_blocks_10_attn_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_attn_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(38203008)))];
-            tensor<fp16, [1, 1370, 384]> linear_41_cast_fp16 = linear(bias = model_pretrained_blocks_10_attn_proj_bias_to_fp16, weight = model_pretrained_blocks_10_attn_proj_weight_to_fp16, x = input_205_cast_fp16)[name = tensor<string, []>("linear_41_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_10_ls1_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_ls1_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(38203840)))];
-            tensor<fp16, [1, 1370, 384]> var_777_cast_fp16 = mul(x = linear_41_cast_fp16, y = model_pretrained_blocks_10_ls1_gamma_to_fp16)[name = tensor<string, []>("op_777_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_209_cast_fp16 = add(x = input_201_cast_fp16, y = var_777_cast_fp16)[name = tensor<string, []>("input_209_cast_fp16")];
-            tensor<int32, [1]> input_211_axes_0 = const()[name = tensor<string, []>("input_211_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_10_norm2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_norm2_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(38204672)))];
-            tensor<fp16, [384]> model_pretrained_blocks_10_norm2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_norm2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(38205504)))];
-            tensor<fp16, [1, 1370, 384]> input_211_cast_fp16 = layer_norm(axes = input_211_axes_0, beta = model_pretrained_blocks_10_norm2_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_10_norm2_weight_to_fp16, x = input_209_cast_fp16)[name = tensor<string, []>("input_211_cast_fp16")];
-            tensor<fp16, [1536, 384]> model_pretrained_blocks_10_mlp_fc1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_mlp_fc1_weight_to_fp16"), val = tensor<fp16, [1536, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(38206336)))];
-            tensor<fp16, [1536]> model_pretrained_blocks_10_mlp_fc1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_mlp_fc1_bias_to_fp16"), val = tensor<fp16, [1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(39386048)))];
-            tensor<fp16, [1, 1370, 1536]> linear_42_cast_fp16 = linear(bias = model_pretrained_blocks_10_mlp_fc1_bias_to_fp16, weight = model_pretrained_blocks_10_mlp_fc1_weight_to_fp16, x = input_211_cast_fp16)[name = tensor<string, []>("linear_42_cast_fp16")];
-            tensor<string, []> input_215_mode_0 = const()[name = tensor<string, []>("input_215_mode_0"), val = tensor<string, []>("EXACT")];
-            tensor<fp16, [1, 1370, 1536]> input_215_cast_fp16 = gelu(mode = input_215_mode_0, x = linear_42_cast_fp16)[name = tensor<string, []>("input_215_cast_fp16")];
-            tensor<fp16, [384, 1536]> model_pretrained_blocks_10_mlp_fc2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_mlp_fc2_weight_to_fp16"), val = tensor<fp16, [384, 1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(39389184)))];
-            tensor<fp16, [384]> model_pretrained_blocks_10_mlp_fc2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_mlp_fc2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40568896)))];
-            tensor<fp16, [1, 1370, 384]> linear_43_cast_fp16 = linear(bias = model_pretrained_blocks_10_mlp_fc2_bias_to_fp16, weight = model_pretrained_blocks_10_mlp_fc2_weight_to_fp16, x = input_215_cast_fp16)[name = tensor<string, []>("linear_43_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_10_ls2_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_10_ls2_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40569728)))];
-            tensor<fp16, [1, 1370, 384]> var_795_cast_fp16 = mul(x = linear_43_cast_fp16, y = model_pretrained_blocks_10_ls2_gamma_to_fp16)[name = tensor<string, []>("op_795_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_221_cast_fp16 = add(x = input_209_cast_fp16, y = var_795_cast_fp16)[name = tensor<string, []>("input_221_cast_fp16")];
-            tensor<int32, [1]> x_77_axes_0 = const()[name = tensor<string, []>("x_77_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_11_norm1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_norm1_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40570560)))];
-            tensor<fp16, [384]> model_pretrained_blocks_11_norm1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_norm1_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40571392)))];
-            tensor<fp16, [1, 1370, 384]> x_77_cast_fp16 = layer_norm(axes = x_77_axes_0, beta = model_pretrained_blocks_11_norm1_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_11_norm1_weight_to_fp16, x = input_221_cast_fp16)[name = tensor<string, []>("x_77_cast_fp16")];
-            tensor<fp16, [1152, 384]> model_pretrained_blocks_11_attn_qkv_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_attn_qkv_weight_to_fp16"), val = tensor<fp16, [1152, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(40572224)))];
-            tensor<fp16, [1152]> model_pretrained_blocks_11_attn_qkv_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_attn_qkv_bias_to_fp16"), val = tensor<fp16, [1152]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41457024)))];
-            tensor<fp16, [1, 1370, 1152]> linear_44_cast_fp16 = linear(bias = model_pretrained_blocks_11_attn_qkv_bias_to_fp16, weight = model_pretrained_blocks_11_attn_qkv_weight_to_fp16, x = x_77_cast_fp16)[name = tensor<string, []>("linear_44_cast_fp16")];
-            tensor<int32, [5]> var_818 = const()[name = tensor<string, []>("op_818"), val = tensor<int32, [5]>([1, 1370, 3, 6, 64])];
-            tensor<fp16, [1, 1370, 3, 6, 64]> var_819_cast_fp16 = reshape(shape = var_818, x = linear_44_cast_fp16)[name = tensor<string, []>("op_819_cast_fp16")];
-            tensor<int32, [5]> var_820 = const()[name = tensor<string, []>("op_820"), val = tensor<int32, [5]>([2, 0, 3, 1, 4])];
-            tensor<int32, [5]> var_822_begin_0 = const()[name = tensor<string, []>("op_822_begin_0"), val = tensor<int32, [5]>([0, 0, 0, 0, 0])];
-            tensor<int32, [5]> var_822_end_0 = const()[name = tensor<string, []>("op_822_end_0"), val = tensor<int32, [5]>([1, 1, 6, 1370, 64])];
-            tensor<bool, [5]> var_822_end_mask_0 = const()[name = tensor<string, []>("op_822_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> var_822_squeeze_mask_0 = const()[name = tensor<string, []>("op_822_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [3, 1, 6, 1370, 64]> qkv_23_cast_fp16 = transpose(perm = var_820, x = var_819_cast_fp16)[name = tensor<string, []>("transpose_5")];
-            tensor<fp16, [1, 6, 1370, 64]> var_822_cast_fp16 = slice_by_index(begin = var_822_begin_0, end = var_822_end_0, end_mask = var_822_end_mask_0, squeeze_mask = var_822_squeeze_mask_0, x = qkv_23_cast_fp16)[name = tensor<string, []>("op_822_cast_fp16")];
-            tensor<fp16, []> var_823_to_fp16 = const()[name = tensor<string, []>("op_823_to_fp16"), val = tensor<fp16, []>(0x1p-3)];
-            tensor<fp16, [1, 6, 1370, 64]> q_cast_fp16 = mul(x = var_822_cast_fp16, y = var_823_to_fp16)[name = tensor<string, []>("q_cast_fp16")];
-            tensor<int32, [5]> k_begin_0 = const()[name = tensor<string, []>("k_begin_0"), val = tensor<int32, [5]>([1, 0, 0, 0, 0])];
-            tensor<int32, [5]> k_end_0 = const()[name = tensor<string, []>("k_end_0"), val = tensor<int32, [5]>([2, 1, 6, 1370, 64])];
-            tensor<bool, [5]> k_end_mask_0 = const()[name = tensor<string, []>("k_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> k_squeeze_mask_0 = const()[name = tensor<string, []>("k_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> k_cast_fp16 = slice_by_index(begin = k_begin_0, end = k_end_0, end_mask = k_end_mask_0, squeeze_mask = k_squeeze_mask_0, x = qkv_23_cast_fp16)[name = tensor<string, []>("k_cast_fp16")];
-            tensor<int32, [5]> v_begin_0 = const()[name = tensor<string, []>("v_begin_0"), val = tensor<int32, [5]>([2, 0, 0, 0, 0])];
-            tensor<int32, [5]> v_end_0 = const()[name = tensor<string, []>("v_end_0"), val = tensor<int32, [5]>([3, 1, 6, 1370, 64])];
-            tensor<bool, [5]> v_end_mask_0 = const()[name = tensor<string, []>("v_end_mask_0"), val = tensor<bool, [5]>([false, true, true, true, true])];
-            tensor<bool, [5]> v_squeeze_mask_0 = const()[name = tensor<string, []>("v_squeeze_mask_0"), val = tensor<bool, [5]>([true, false, false, false, false])];
-            tensor<fp16, [1, 6, 1370, 64]> v_cast_fp16 = slice_by_index(begin = v_begin_0, end = v_end_0, end_mask = v_end_mask_0, squeeze_mask = v_squeeze_mask_0, x = qkv_23_cast_fp16)[name = tensor<string, []>("v_cast_fp16")];
-            tensor<bool, []> attn_45_transpose_x_1 = const()[name = tensor<string, []>("attn_45_transpose_x_1"), val = tensor<bool, []>(false)];
-            tensor<bool, []> attn_45_transpose_y_1 = const()[name = tensor<string, []>("attn_45_transpose_y_1"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 6, 1370, 1370]> attn_45_cast_fp16 = matmul(transpose_x = attn_45_transpose_x_1, transpose_y = attn_45_transpose_y_1, x = q_cast_fp16, y = k_cast_fp16)[name = tensor<string, []>("attn_45_cast_fp16")];
-            tensor<fp16, [1, 6, 1370, 1370]> input_223_cast_fp16 = softmax(axis = var_25, x = attn_45_cast_fp16)[name = tensor<string, []>("input_223_cast_fp16")];
-            tensor<bool, []> var_831_transpose_x_0 = const()[name = tensor<string, []>("op_831_transpose_x_0"), val = tensor<bool, []>(false)];
-            tensor<bool, []> var_831_transpose_y_0 = const()[name = tensor<string, []>("op_831_transpose_y_0"), val = tensor<bool, []>(false)];
-            tensor<fp16, [1, 6, 1370, 64]> var_831_cast_fp16 = matmul(transpose_x = var_831_transpose_x_0, transpose_y = var_831_transpose_y_0, x = input_223_cast_fp16, y = v_cast_fp16)[name = tensor<string, []>("op_831_cast_fp16")];
-            tensor<int32, [4]> var_832_perm_0 = const()[name = tensor<string, []>("op_832_perm_0"), val = tensor<int32, [4]>([0, 2, 1, 3])];
-            tensor<int32, [3]> var_833 = const()[name = tensor<string, []>("op_833"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<fp16, [1, 1370, 6, 64]> var_832_cast_fp16 = transpose(perm = var_832_perm_0, x = var_831_cast_fp16)[name = tensor<string, []>("transpose_4")];
-            tensor<fp16, [1, 1370, 384]> input_225_cast_fp16 = reshape(shape = var_833, x = var_832_cast_fp16)[name = tensor<string, []>("input_225_cast_fp16")];
-            tensor<fp16, [384, 384]> model_pretrained_blocks_11_attn_proj_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_attn_proj_weight_to_fp16"), val = tensor<fp16, [384, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41459392)))];
-            tensor<fp16, [384]> model_pretrained_blocks_11_attn_proj_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_attn_proj_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41754368)))];
-            tensor<fp16, [1, 1370, 384]> linear_45_cast_fp16 = linear(bias = model_pretrained_blocks_11_attn_proj_bias_to_fp16, weight = model_pretrained_blocks_11_attn_proj_weight_to_fp16, x = input_225_cast_fp16)[name = tensor<string, []>("linear_45_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_11_ls1_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_ls1_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41755200)))];
-            tensor<fp16, [1, 1370, 384]> var_840_cast_fp16 = mul(x = linear_45_cast_fp16, y = model_pretrained_blocks_11_ls1_gamma_to_fp16)[name = tensor<string, []>("op_840_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_229_cast_fp16 = add(x = input_221_cast_fp16, y = var_840_cast_fp16)[name = tensor<string, []>("input_229_cast_fp16")];
-            tensor<int32, [1]> input_231_axes_0 = const()[name = tensor<string, []>("input_231_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_blocks_11_norm2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_norm2_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41756032)))];
-            tensor<fp16, [384]> model_pretrained_blocks_11_norm2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_norm2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41756864)))];
-            tensor<fp16, [1, 1370, 384]> input_231_cast_fp16 = layer_norm(axes = input_231_axes_0, beta = model_pretrained_blocks_11_norm2_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_blocks_11_norm2_weight_to_fp16, x = input_229_cast_fp16)[name = tensor<string, []>("input_231_cast_fp16")];
-            tensor<fp16, [1536, 384]> model_pretrained_blocks_11_mlp_fc1_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_mlp_fc1_weight_to_fp16"), val = tensor<fp16, [1536, 384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(41757696)))];
-            tensor<fp16, [1536]> model_pretrained_blocks_11_mlp_fc1_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_mlp_fc1_bias_to_fp16"), val = tensor<fp16, [1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(42937408)))];
-            tensor<fp16, [1, 1370, 1536]> linear_46_cast_fp16 = linear(bias = model_pretrained_blocks_11_mlp_fc1_bias_to_fp16, weight = model_pretrained_blocks_11_mlp_fc1_weight_to_fp16, x = input_231_cast_fp16)[name = tensor<string, []>("linear_46_cast_fp16")];
-            tensor<string, []> input_235_mode_0 = const()[name = tensor<string, []>("input_235_mode_0"), val = tensor<string, []>("EXACT")];
-            tensor<fp16, [1, 1370, 1536]> input_235_cast_fp16 = gelu(mode = input_235_mode_0, x = linear_46_cast_fp16)[name = tensor<string, []>("input_235_cast_fp16")];
-            tensor<fp16, [384, 1536]> model_pretrained_blocks_11_mlp_fc2_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_mlp_fc2_weight_to_fp16"), val = tensor<fp16, [384, 1536]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(42940544)))];
-            tensor<fp16, [384]> model_pretrained_blocks_11_mlp_fc2_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_mlp_fc2_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44120256)))];
-            tensor<fp16, [1, 1370, 384]> linear_47_cast_fp16 = linear(bias = model_pretrained_blocks_11_mlp_fc2_bias_to_fp16, weight = model_pretrained_blocks_11_mlp_fc2_weight_to_fp16, x = input_235_cast_fp16)[name = tensor<string, []>("linear_47_cast_fp16")];
-            tensor<fp16, [384]> model_pretrained_blocks_11_ls2_gamma_to_fp16 = const()[name = tensor<string, []>("model_pretrained_blocks_11_ls2_gamma_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44121088)))];
-            tensor<fp16, [1, 1370, 384]> var_858_cast_fp16 = mul(x = linear_47_cast_fp16, y = model_pretrained_blocks_11_ls2_gamma_to_fp16)[name = tensor<string, []>("op_858_cast_fp16")];
-            tensor<fp16, [1, 1370, 384]> input_241_cast_fp16 = add(x = input_229_cast_fp16, y = var_858_cast_fp16)[name = tensor<string, []>("input_241_cast_fp16")];
-            tensor<int32, [1]> out_1_axes_0 = const()[name = tensor<string, []>("out_1_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [384]> model_pretrained_norm_weight_to_fp16 = const()[name = tensor<string, []>("model_pretrained_norm_weight_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44121920)))];
-            tensor<fp16, [384]> model_pretrained_norm_bias_to_fp16 = const()[name = tensor<string, []>("model_pretrained_norm_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44122752)))];
-            tensor<fp16, [1, 1370, 384]> out_1_cast_fp16 = layer_norm(axes = out_1_axes_0, beta = model_pretrained_norm_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_norm_weight_to_fp16, x = input_61_cast_fp16)[name = tensor<string, []>("out_1_cast_fp16")];
-            tensor<int32, [1]> out_3_axes_0 = const()[name = tensor<string, []>("out_3_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [1, 1370, 384]> out_3_cast_fp16 = layer_norm(axes = out_3_axes_0, beta = model_pretrained_norm_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_norm_weight_to_fp16, x = input_121_cast_fp16)[name = tensor<string, []>("out_3_cast_fp16")];
-            tensor<int32, [1]> out_5_axes_0 = const()[name = tensor<string, []>("out_5_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [1, 1370, 384]> out_5_cast_fp16 = layer_norm(axes = out_5_axes_0, beta = model_pretrained_norm_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_norm_weight_to_fp16, x = input_181_cast_fp16)[name = tensor<string, []>("out_5_cast_fp16")];
-            tensor<int32, [1]> out_axes_0 = const()[name = tensor<string, []>("out_axes_0"), val = tensor<int32, [1]>([-1])];
-            tensor<fp16, [1, 1370, 384]> out_cast_fp16 = layer_norm(axes = out_axes_0, beta = model_pretrained_norm_bias_to_fp16, epsilon = var_11_to_fp16, gamma = model_pretrained_norm_weight_to_fp16, x = input_241_cast_fp16)[name = tensor<string, []>("out_cast_fp16")];
-            tensor<int32, [3]> x_83_begin_0 = const()[name = tensor<string, []>("x_83_begin_0"), val = tensor<int32, [3]>([0, 1, 0])];
-            tensor<int32, [3]> x_83_end_0 = const()[name = tensor<string, []>("x_83_end_0"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<bool, [3]> x_83_end_mask_0 = const()[name = tensor<string, []>("x_83_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
-            tensor<fp16, [1, 1369, 384]> x_83_cast_fp16 = slice_by_index(begin = x_83_begin_0, end = x_83_end_0, end_mask = x_83_end_mask_0, x = out_1_cast_fp16)[name = tensor<string, []>("x_83_cast_fp16")];
-            tensor<int32, [3]> x_85_begin_0 = const()[name = tensor<string, []>("x_85_begin_0"), val = tensor<int32, [3]>([0, 1, 0])];
-            tensor<int32, [3]> x_85_end_0 = const()[name = tensor<string, []>("x_85_end_0"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<bool, [3]> x_85_end_mask_0 = const()[name = tensor<string, []>("x_85_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
-            tensor<fp16, [1, 1369, 384]> x_85_cast_fp16 = slice_by_index(begin = x_85_begin_0, end = x_85_end_0, end_mask = x_85_end_mask_0, x = out_3_cast_fp16)[name = tensor<string, []>("x_85_cast_fp16")];
-            tensor<int32, [3]> x_87_begin_0 = const()[name = tensor<string, []>("x_87_begin_0"), val = tensor<int32, [3]>([0, 1, 0])];
-            tensor<int32, [3]> x_87_end_0 = const()[name = tensor<string, []>("x_87_end_0"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<bool, [3]> x_87_end_mask_0 = const()[name = tensor<string, []>("x_87_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
-            tensor<fp16, [1, 1369, 384]> x_87_cast_fp16 = slice_by_index(begin = x_87_begin_0, end = x_87_end_0, end_mask = x_87_end_mask_0, x = out_5_cast_fp16)[name = tensor<string, []>("x_87_cast_fp16")];
-            tensor<int32, [3]> x_89_begin_0 = const()[name = tensor<string, []>("x_89_begin_0"), val = tensor<int32, [3]>([0, 1, 0])];
-            tensor<int32, [3]> x_89_end_0 = const()[name = tensor<string, []>("x_89_end_0"), val = tensor<int32, [3]>([1, 1370, 384])];
-            tensor<bool, [3]> x_89_end_mask_0 = const()[name = tensor<string, []>("x_89_end_mask_0"), val = tensor<bool, [3]>([true, true, true])];
-            tensor<fp16, [1, 1369, 384]> x_89_cast_fp16 = slice_by_index(begin = x_89_begin_0, end = x_89_end_0, end_mask = x_89_end_mask_0, x = out_cast_fp16)[name = tensor<string, []>("x_89_cast_fp16")];
-            tensor<int32, [3]> var_918 = const()[name = tensor<string, []>("op_918"), val = tensor<int32, [3]>([0, 2, 1])];
-            tensor<int32, [4]> var_922 = const()[name = tensor<string, []>("op_922"), val = tensor<int32, [4]>([1, 384, 37, 37])];
-            tensor<fp16, [1, 384, 1369]> var_919_cast_fp16 = transpose(perm = var_918, x = x_83_cast_fp16)[name = tensor<string, []>("transpose_3")];
-            tensor<fp16, [1, 384, 37, 37]> input_243_cast_fp16 = reshape(shape = var_922, x = var_919_cast_fp16)[name = tensor<string, []>("input_243_cast_fp16")];
-            tensor<string, []> input_245_pad_type_0 = const()[name = tensor<string, []>("input_245_pad_type_0"), val = tensor<string, []>("valid")];
-            tensor<int32, [2]> input_245_strides_0 = const()[name = tensor<string, []>("input_245_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [4]> input_245_pad_0 = const()[name = tensor<string, []>("input_245_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
-            tensor<int32, [2]> input_245_dilations_0 = const()[name = tensor<string, []>("input_245_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_245_groups_0 = const()[name = tensor<string, []>("input_245_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [48, 384, 1, 1]> model_depth_head_projects_0_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_projects_0_weight_to_fp16"), val = tensor<fp16, [48, 384, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44123584)))];
-            tensor<fp16, [48]> model_depth_head_projects_0_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_projects_0_bias_to_fp16"), val = tensor<fp16, [48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44160512)))];
-            tensor<fp16, [1, 48, 37, 37]> input_245_cast_fp16 = conv(bias = model_depth_head_projects_0_bias_to_fp16, dilations = input_245_dilations_0, groups = input_245_groups_0, pad = input_245_pad_0, pad_type = input_245_pad_type_0, strides = input_245_strides_0, weight = model_depth_head_projects_0_weight_to_fp16, x = input_243_cast_fp16)[name = tensor<string, []>("input_245_cast_fp16")];
-            tensor<string, []> input_257_pad_type_0 = const()[name = tensor<string, []>("input_257_pad_type_0"), val = tensor<string, []>("valid")];
-            tensor<int32, [2]> input_257_strides_0 = const()[name = tensor<string, []>("input_257_strides_0"), val = tensor<int32, [2]>([4, 4])];
-            tensor<int32, [4]> input_257_pad_0 = const()[name = tensor<string, []>("input_257_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
-            tensor<int32, [2]> input_257_dilations_0 = const()[name = tensor<string, []>("input_257_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_257_groups_0 = const()[name = tensor<string, []>("input_257_groups_0"), val = tensor<int32, []>(1)];
-            tensor<int32, [4]> input_257_has_output_shape_output_shape_0 = const()[name = tensor<string, []>("input_257_has_output_shape_output_shape_0"), val = tensor<int32, [4]>([1, 48, 148, 148])];
-            tensor<fp16, [48, 48, 4, 4]> model_depth_head_resize_layers_0_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_resize_layers_0_weight_to_fp16"), val = tensor<fp16, [48, 48, 4, 4]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44160704)))];
-            tensor<fp16, [48]> model_depth_head_resize_layers_0_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_resize_layers_0_bias_to_fp16"), val = tensor<fp16, [48]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44234496)))];
-            tensor<fp16, [1, 48, 148, 148]> input_257_has_output_shape_cast_fp16 = conv_transpose(bias = model_depth_head_resize_layers_0_bias_to_fp16, dilations = input_257_dilations_0, groups = input_257_groups_0, output_shape = input_257_has_output_shape_output_shape_0, pad = input_257_pad_0, pad_type = input_257_pad_type_0, strides = input_257_strides_0, weight = model_depth_head_resize_layers_0_weight_to_fp16, x = input_245_cast_fp16)[name = tensor<string, []>("input_257_has_output_shape_cast_fp16")];
-            tensor<int32, [3]> var_938 = const()[name = tensor<string, []>("op_938"), val = tensor<int32, [3]>([0, 2, 1])];
-            tensor<int32, [4]> var_942 = const()[name = tensor<string, []>("op_942"), val = tensor<int32, [4]>([1, 384, 37, 37])];
-            tensor<fp16, [1, 384, 1369]> var_939_cast_fp16 = transpose(perm = var_938, x = x_85_cast_fp16)[name = tensor<string, []>("transpose_2")];
-            tensor<fp16, [1, 384, 37, 37]> input_247_cast_fp16 = reshape(shape = var_942, x = var_939_cast_fp16)[name = tensor<string, []>("input_247_cast_fp16")];
-            tensor<string, []> input_249_pad_type_0 = const()[name = tensor<string, []>("input_249_pad_type_0"), val = tensor<string, []>("valid")];
-            tensor<int32, [2]> input_249_strides_0 = const()[name = tensor<string, []>("input_249_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [4]> input_249_pad_0 = const()[name = tensor<string, []>("input_249_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
-            tensor<int32, [2]> input_249_dilations_0 = const()[name = tensor<string, []>("input_249_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_249_groups_0 = const()[name = tensor<string, []>("input_249_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [96, 384, 1, 1]> model_depth_head_projects_1_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_projects_1_weight_to_fp16"), val = tensor<fp16, [96, 384, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44234688)))];
-            tensor<fp16, [96]> model_depth_head_projects_1_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_projects_1_bias_to_fp16"), val = tensor<fp16, [96]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44308480)))];
-            tensor<fp16, [1, 96, 37, 37]> input_249_cast_fp16 = conv(bias = model_depth_head_projects_1_bias_to_fp16, dilations = input_249_dilations_0, groups = input_249_groups_0, pad = input_249_pad_0, pad_type = input_249_pad_type_0, strides = input_249_strides_0, weight = model_depth_head_projects_1_weight_to_fp16, x = input_247_cast_fp16)[name = tensor<string, []>("input_249_cast_fp16")];
-            tensor<string, []> input_259_pad_type_0 = const()[name = tensor<string, []>("input_259_pad_type_0"), val = tensor<string, []>("valid")];
-            tensor<int32, [2]> input_259_strides_0 = const()[name = tensor<string, []>("input_259_strides_0"), val = tensor<int32, [2]>([2, 2])];
-            tensor<int32, [4]> input_259_pad_0 = const()[name = tensor<string, []>("input_259_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
-            tensor<int32, [2]> input_259_dilations_0 = const()[name = tensor<string, []>("input_259_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_259_groups_0 = const()[name = tensor<string, []>("input_259_groups_0"), val = tensor<int32, []>(1)];
-            tensor<int32, [4]> input_259_has_output_shape_output_shape_0 = const()[name = tensor<string, []>("input_259_has_output_shape_output_shape_0"), val = tensor<int32, [4]>([1, 96, 74, 74])];
-            tensor<fp16, [96, 96, 2, 2]> model_depth_head_resize_layers_1_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_resize_layers_1_weight_to_fp16"), val = tensor<fp16, [96, 96, 2, 2]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44308736)))];
-            tensor<fp16, [96]> model_depth_head_resize_layers_1_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_resize_layers_1_bias_to_fp16"), val = tensor<fp16, [96]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44382528)))];
-            tensor<fp16, [1, 96, 74, 74]> input_259_has_output_shape_cast_fp16 = conv_transpose(bias = model_depth_head_resize_layers_1_bias_to_fp16, dilations = input_259_dilations_0, groups = input_259_groups_0, output_shape = input_259_has_output_shape_output_shape_0, pad = input_259_pad_0, pad_type = input_259_pad_type_0, strides = input_259_strides_0, weight = model_depth_head_resize_layers_1_weight_to_fp16, x = input_249_cast_fp16)[name = tensor<string, []>("input_259_has_output_shape_cast_fp16")];
-            tensor<int32, [3]> var_958 = const()[name = tensor<string, []>("op_958"), val = tensor<int32, [3]>([0, 2, 1])];
-            tensor<int32, [4]> var_962 = const()[name = tensor<string, []>("op_962"), val = tensor<int32, [4]>([1, 384, 37, 37])];
-            tensor<fp16, [1, 384, 1369]> var_959_cast_fp16 = transpose(perm = var_958, x = x_87_cast_fp16)[name = tensor<string, []>("transpose_1")];
-            tensor<fp16, [1, 384, 37, 37]> input_251_cast_fp16 = reshape(shape = var_962, x = var_959_cast_fp16)[name = tensor<string, []>("input_251_cast_fp16")];
-            tensor<string, []> input_261_pad_type_0 = const()[name = tensor<string, []>("input_261_pad_type_0"), val = tensor<string, []>("valid")];
-            tensor<int32, [2]> input_261_strides_0 = const()[name = tensor<string, []>("input_261_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [4]> input_261_pad_0 = const()[name = tensor<string, []>("input_261_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
-            tensor<int32, [2]> input_261_dilations_0 = const()[name = tensor<string, []>("input_261_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_261_groups_0 = const()[name = tensor<string, []>("input_261_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [192, 384, 1, 1]> model_depth_head_projects_2_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_projects_2_weight_to_fp16"), val = tensor<fp16, [192, 384, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44382784)))];
-            tensor<fp16, [192]> model_depth_head_projects_2_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_projects_2_bias_to_fp16"), val = tensor<fp16, [192]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44530304)))];
-            tensor<fp16, [1, 192, 37, 37]> input_261_cast_fp16 = conv(bias = model_depth_head_projects_2_bias_to_fp16, dilations = input_261_dilations_0, groups = input_261_groups_0, pad = input_261_pad_0, pad_type = input_261_pad_type_0, strides = input_261_strides_0, weight = model_depth_head_projects_2_weight_to_fp16, x = input_251_cast_fp16)[name = tensor<string, []>("input_261_cast_fp16")];
-            tensor<int32, [3]> var_971 = const()[name = tensor<string, []>("op_971"), val = tensor<int32, [3]>([0, 2, 1])];
-            tensor<int32, [4]> var_975 = const()[name = tensor<string, []>("op_975"), val = tensor<int32, [4]>([1, 384, 37, 37])];
-            tensor<fp16, [1, 384, 1369]> var_972_cast_fp16 = transpose(perm = var_971, x = x_89_cast_fp16)[name = tensor<string, []>("transpose_0")];
-            tensor<fp16, [1, 384, 37, 37]> input_253_cast_fp16 = reshape(shape = var_975, x = var_972_cast_fp16)[name = tensor<string, []>("input_253_cast_fp16")];
-            tensor<string, []> input_255_pad_type_0 = const()[name = tensor<string, []>("input_255_pad_type_0"), val = tensor<string, []>("valid")];
-            tensor<int32, [2]> input_255_strides_0 = const()[name = tensor<string, []>("input_255_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [4]> input_255_pad_0 = const()[name = tensor<string, []>("input_255_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
-            tensor<int32, [2]> input_255_dilations_0 = const()[name = tensor<string, []>("input_255_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_255_groups_0 = const()[name = tensor<string, []>("input_255_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [384, 384, 1, 1]> model_depth_head_projects_3_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_projects_3_weight_to_fp16"), val = tensor<fp16, [384, 384, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44530752)))];
-            tensor<fp16, [384]> model_depth_head_projects_3_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_projects_3_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44825728)))];
-            tensor<fp16, [1, 384, 37, 37]> input_255_cast_fp16 = conv(bias = model_depth_head_projects_3_bias_to_fp16, dilations = input_255_dilations_0, groups = input_255_groups_0, pad = input_255_pad_0, pad_type = input_255_pad_type_0, strides = input_255_strides_0, weight = model_depth_head_projects_3_weight_to_fp16, x = input_253_cast_fp16)[name = tensor<string, []>("input_255_cast_fp16")];
-            tensor<string, []> input_263_pad_type_0 = const()[name = tensor<string, []>("input_263_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> input_263_pad_0 = const()[name = tensor<string, []>("input_263_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> input_263_strides_0 = const()[name = tensor<string, []>("input_263_strides_0"), val = tensor<int32, [2]>([2, 2])];
-            tensor<int32, [2]> input_263_dilations_0 = const()[name = tensor<string, []>("input_263_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_263_groups_0 = const()[name = tensor<string, []>("input_263_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [384, 384, 3, 3]> model_depth_head_resize_layers_3_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_resize_layers_3_weight_to_fp16"), val = tensor<fp16, [384, 384, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(44826560)))];
-            tensor<fp16, [384]> model_depth_head_resize_layers_3_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_resize_layers_3_bias_to_fp16"), val = tensor<fp16, [384]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47480832)))];
-            tensor<fp16, [1, 384, 19, 19]> input_263_cast_fp16 = conv(bias = model_depth_head_resize_layers_3_bias_to_fp16, dilations = input_263_dilations_0, groups = input_263_groups_0, pad = input_263_pad_0, pad_type = input_263_pad_type_0, strides = input_263_strides_0, weight = model_depth_head_resize_layers_3_weight_to_fp16, x = input_255_cast_fp16)[name = tensor<string, []>("input_263_cast_fp16")];
-            tensor<string, []> layer_1_rn_pad_type_0 = const()[name = tensor<string, []>("layer_1_rn_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> layer_1_rn_pad_0 = const()[name = tensor<string, []>("layer_1_rn_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> layer_1_rn_strides_0 = const()[name = tensor<string, []>("layer_1_rn_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> layer_1_rn_dilations_0 = const()[name = tensor<string, []>("layer_1_rn_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> layer_1_rn_groups_0 = const()[name = tensor<string, []>("layer_1_rn_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 48, 3, 3]> model_depth_head_scratch_layer1_rn_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_layer1_rn_weight_to_fp16"), val = tensor<fp16, [64, 48, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47481664)))];
-            tensor<fp16, [1, 64, 148, 148]> layer_1_rn_cast_fp16 = conv(dilations = layer_1_rn_dilations_0, groups = layer_1_rn_groups_0, pad = layer_1_rn_pad_0, pad_type = layer_1_rn_pad_type_0, strides = layer_1_rn_strides_0, weight = model_depth_head_scratch_layer1_rn_weight_to_fp16, x = input_257_has_output_shape_cast_fp16)[name = tensor<string, []>("layer_1_rn_cast_fp16")];
-            tensor<string, []> layer_2_rn_pad_type_0 = const()[name = tensor<string, []>("layer_2_rn_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> layer_2_rn_pad_0 = const()[name = tensor<string, []>("layer_2_rn_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> layer_2_rn_strides_0 = const()[name = tensor<string, []>("layer_2_rn_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> layer_2_rn_dilations_0 = const()[name = tensor<string, []>("layer_2_rn_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> layer_2_rn_groups_0 = const()[name = tensor<string, []>("layer_2_rn_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 96, 3, 3]> model_depth_head_scratch_layer2_rn_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_layer2_rn_weight_to_fp16"), val = tensor<fp16, [64, 96, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47537024)))];
-            tensor<fp16, [1, 64, 74, 74]> layer_2_rn_cast_fp16 = conv(dilations = layer_2_rn_dilations_0, groups = layer_2_rn_groups_0, pad = layer_2_rn_pad_0, pad_type = layer_2_rn_pad_type_0, strides = layer_2_rn_strides_0, weight = model_depth_head_scratch_layer2_rn_weight_to_fp16, x = input_259_has_output_shape_cast_fp16)[name = tensor<string, []>("layer_2_rn_cast_fp16")];
-            tensor<string, []> layer_3_rn_pad_type_0 = const()[name = tensor<string, []>("layer_3_rn_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> layer_3_rn_pad_0 = const()[name = tensor<string, []>("layer_3_rn_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> layer_3_rn_strides_0 = const()[name = tensor<string, []>("layer_3_rn_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> layer_3_rn_dilations_0 = const()[name = tensor<string, []>("layer_3_rn_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> layer_3_rn_groups_0 = const()[name = tensor<string, []>("layer_3_rn_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 192, 3, 3]> model_depth_head_scratch_layer3_rn_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_layer3_rn_weight_to_fp16"), val = tensor<fp16, [64, 192, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47647680)))];
-            tensor<fp16, [1, 64, 37, 37]> layer_3_rn_cast_fp16 = conv(dilations = layer_3_rn_dilations_0, groups = layer_3_rn_groups_0, pad = layer_3_rn_pad_0, pad_type = layer_3_rn_pad_type_0, strides = layer_3_rn_strides_0, weight = model_depth_head_scratch_layer3_rn_weight_to_fp16, x = input_261_cast_fp16)[name = tensor<string, []>("layer_3_rn_cast_fp16")];
-            tensor<string, []> input_265_pad_type_0 = const()[name = tensor<string, []>("input_265_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> input_265_pad_0 = const()[name = tensor<string, []>("input_265_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> input_265_strides_0 = const()[name = tensor<string, []>("input_265_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> input_265_dilations_0 = const()[name = tensor<string, []>("input_265_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_265_groups_0 = const()[name = tensor<string, []>("input_265_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 384, 3, 3]> model_depth_head_scratch_layer4_rn_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_layer4_rn_weight_to_fp16"), val = tensor<fp16, [64, 384, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(47868928)))];
-            tensor<fp16, [1, 64, 19, 19]> input_265_cast_fp16 = conv(dilations = input_265_dilations_0, groups = input_265_groups_0, pad = input_265_pad_0, pad_type = input_265_pad_type_0, strides = input_265_strides_0, weight = model_depth_head_scratch_layer4_rn_weight_to_fp16, x = input_263_cast_fp16)[name = tensor<string, []>("input_265_cast_fp16")];
-            tensor<fp16, [1, 64, 19, 19]> input_267_cast_fp16 = relu(x = input_265_cast_fp16)[name = tensor<string, []>("input_267_cast_fp16")];
-            tensor<string, []> input_269_pad_type_0 = const()[name = tensor<string, []>("input_269_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> input_269_pad_0 = const()[name = tensor<string, []>("input_269_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> input_269_strides_0 = const()[name = tensor<string, []>("input_269_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> input_269_dilations_0 = const()[name = tensor<string, []>("input_269_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_269_groups_0 = const()[name = tensor<string, []>("input_269_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet4_resConfUnit2_conv1_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet4_resConfUnit2_conv1_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48311360)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet4_resConfUnit2_conv1_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet4_resConfUnit2_conv1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48385152)))];
-            tensor<fp16, [1, 64, 19, 19]> input_269_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet4_resConfUnit2_conv1_bias_to_fp16, dilations = input_269_dilations_0, groups = input_269_groups_0, pad = input_269_pad_0, pad_type = input_269_pad_type_0, strides = input_269_strides_0, weight = model_depth_head_scratch_refinenet4_resConfUnit2_conv1_weight_to_fp16, x = input_267_cast_fp16)[name = tensor<string, []>("input_269_cast_fp16")];
-            tensor<fp16, [1, 64, 19, 19]> input_271_cast_fp16 = relu(x = input_269_cast_fp16)[name = tensor<string, []>("input_271_cast_fp16")];
-            tensor<string, []> x_91_pad_type_0 = const()[name = tensor<string, []>("x_91_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> x_91_pad_0 = const()[name = tensor<string, []>("x_91_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> x_91_strides_0 = const()[name = tensor<string, []>("x_91_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> x_91_dilations_0 = const()[name = tensor<string, []>("x_91_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> x_91_groups_0 = const()[name = tensor<string, []>("x_91_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet4_resConfUnit2_conv2_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet4_resConfUnit2_conv2_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48385344)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet4_resConfUnit2_conv2_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet4_resConfUnit2_conv2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48459136)))];
-            tensor<fp16, [1, 64, 19, 19]> x_91_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet4_resConfUnit2_conv2_bias_to_fp16, dilations = x_91_dilations_0, groups = x_91_groups_0, pad = x_91_pad_0, pad_type = x_91_pad_type_0, strides = x_91_strides_0, weight = model_depth_head_scratch_refinenet4_resConfUnit2_conv2_weight_to_fp16, x = input_271_cast_fp16)[name = tensor<string, []>("x_91_cast_fp16")];
-            tensor<fp16, [1, 64, 19, 19]> input_273_cast_fp16 = add(x = x_91_cast_fp16, y = input_265_cast_fp16)[name = tensor<string, []>("input_273_cast_fp16")];
-            tensor<fp32, []> input_275_scale_factor_height_0 = const()[name = tensor<string, []>("input_275_scale_factor_height_0"), val = tensor<fp32, []>(0x1.f28714p+0)];
-            tensor<fp32, []> input_275_scale_factor_width_0 = const()[name = tensor<string, []>("input_275_scale_factor_width_0"), val = tensor<fp32, []>(0x1.f28714p+0)];
-            tensor<bool, []> input_275_align_corners_0 = const()[name = tensor<string, []>("input_275_align_corners_0"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 64, 37, 37]> input_275_cast_fp16 = upsample_bilinear(align_corners = input_275_align_corners_0, scale_factor_height = input_275_scale_factor_height_0, scale_factor_width = input_275_scale_factor_width_0, x = input_273_cast_fp16)[name = tensor<string, []>("input_275_cast_fp16")];
-            tensor<string, []> x_95_pad_type_0 = const()[name = tensor<string, []>("x_95_pad_type_0"), val = tensor<string, []>("valid")];
-            tensor<int32, [2]> x_95_strides_0 = const()[name = tensor<string, []>("x_95_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [4]> x_95_pad_0 = const()[name = tensor<string, []>("x_95_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
-            tensor<int32, [2]> x_95_dilations_0 = const()[name = tensor<string, []>("x_95_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> x_95_groups_0 = const()[name = tensor<string, []>("x_95_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 1, 1]> model_depth_head_scratch_refinenet4_out_conv_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet4_out_conv_weight_to_fp16"), val = tensor<fp16, [64, 64, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48459328)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet4_out_conv_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet4_out_conv_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48467584)))];
-            tensor<fp16, [1, 64, 37, 37]> x_95_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet4_out_conv_bias_to_fp16, dilations = x_95_dilations_0, groups = x_95_groups_0, pad = x_95_pad_0, pad_type = x_95_pad_type_0, strides = x_95_strides_0, weight = model_depth_head_scratch_refinenet4_out_conv_weight_to_fp16, x = input_275_cast_fp16)[name = tensor<string, []>("x_95_cast_fp16")];
-            tensor<fp16, [1, 64, 37, 37]> input_277_cast_fp16 = relu(x = layer_3_rn_cast_fp16)[name = tensor<string, []>("input_277_cast_fp16")];
-            tensor<string, []> input_279_pad_type_0 = const()[name = tensor<string, []>("input_279_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> input_279_pad_0 = const()[name = tensor<string, []>("input_279_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> input_279_strides_0 = const()[name = tensor<string, []>("input_279_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> input_279_dilations_0 = const()[name = tensor<string, []>("input_279_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_279_groups_0 = const()[name = tensor<string, []>("input_279_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet3_resConfUnit1_conv1_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet3_resConfUnit1_conv1_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48467776)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet3_resConfUnit1_conv1_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet3_resConfUnit1_conv1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48541568)))];
-            tensor<fp16, [1, 64, 37, 37]> input_279_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet3_resConfUnit1_conv1_bias_to_fp16, dilations = input_279_dilations_0, groups = input_279_groups_0, pad = input_279_pad_0, pad_type = input_279_pad_type_0, strides = input_279_strides_0, weight = model_depth_head_scratch_refinenet3_resConfUnit1_conv1_weight_to_fp16, x = input_277_cast_fp16)[name = tensor<string, []>("input_279_cast_fp16")];
-            tensor<fp16, [1, 64, 37, 37]> input_281_cast_fp16 = relu(x = input_279_cast_fp16)[name = tensor<string, []>("input_281_cast_fp16")];
-            tensor<string, []> x_93_pad_type_0 = const()[name = tensor<string, []>("x_93_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> x_93_pad_0 = const()[name = tensor<string, []>("x_93_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> x_93_strides_0 = const()[name = tensor<string, []>("x_93_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> x_93_dilations_0 = const()[name = tensor<string, []>("x_93_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> x_93_groups_0 = const()[name = tensor<string, []>("x_93_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet3_resConfUnit1_conv2_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet3_resConfUnit1_conv2_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48541760)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet3_resConfUnit1_conv2_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet3_resConfUnit1_conv2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48615552)))];
-            tensor<fp16, [1, 64, 37, 37]> x_93_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet3_resConfUnit1_conv2_bias_to_fp16, dilations = x_93_dilations_0, groups = x_93_groups_0, pad = x_93_pad_0, pad_type = x_93_pad_type_0, strides = x_93_strides_0, weight = model_depth_head_scratch_refinenet3_resConfUnit1_conv2_weight_to_fp16, x = input_281_cast_fp16)[name = tensor<string, []>("x_93_cast_fp16")];
-            tensor<fp16, [1, 64, 37, 37]> y_1_cast_fp16 = add(x = x_93_cast_fp16, y = layer_3_rn_cast_fp16)[name = tensor<string, []>("y_1_cast_fp16")];
-            tensor<fp16, [1, 64, 37, 37]> input_283_cast_fp16 = add(x = x_95_cast_fp16, y = y_1_cast_fp16)[name = tensor<string, []>("input_283_cast_fp16")];
-            tensor<fp16, [1, 64, 37, 37]> input_285_cast_fp16 = relu(x = input_283_cast_fp16)[name = tensor<string, []>("input_285_cast_fp16")];
-            tensor<string, []> input_287_pad_type_0 = const()[name = tensor<string, []>("input_287_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> input_287_pad_0 = const()[name = tensor<string, []>("input_287_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> input_287_strides_0 = const()[name = tensor<string, []>("input_287_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> input_287_dilations_0 = const()[name = tensor<string, []>("input_287_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_287_groups_0 = const()[name = tensor<string, []>("input_287_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet3_resConfUnit2_conv1_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet3_resConfUnit2_conv1_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48615744)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet3_resConfUnit2_conv1_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet3_resConfUnit2_conv1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48689536)))];
-            tensor<fp16, [1, 64, 37, 37]> input_287_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet3_resConfUnit2_conv1_bias_to_fp16, dilations = input_287_dilations_0, groups = input_287_groups_0, pad = input_287_pad_0, pad_type = input_287_pad_type_0, strides = input_287_strides_0, weight = model_depth_head_scratch_refinenet3_resConfUnit2_conv1_weight_to_fp16, x = input_285_cast_fp16)[name = tensor<string, []>("input_287_cast_fp16")];
-            tensor<fp16, [1, 64, 37, 37]> input_289_cast_fp16 = relu(x = input_287_cast_fp16)[name = tensor<string, []>("input_289_cast_fp16")];
-            tensor<string, []> x_97_pad_type_0 = const()[name = tensor<string, []>("x_97_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> x_97_pad_0 = const()[name = tensor<string, []>("x_97_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> x_97_strides_0 = const()[name = tensor<string, []>("x_97_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> x_97_dilations_0 = const()[name = tensor<string, []>("x_97_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> x_97_groups_0 = const()[name = tensor<string, []>("x_97_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet3_resConfUnit2_conv2_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet3_resConfUnit2_conv2_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48689728)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet3_resConfUnit2_conv2_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet3_resConfUnit2_conv2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48763520)))];
-            tensor<fp16, [1, 64, 37, 37]> x_97_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet3_resConfUnit2_conv2_bias_to_fp16, dilations = x_97_dilations_0, groups = x_97_groups_0, pad = x_97_pad_0, pad_type = x_97_pad_type_0, strides = x_97_strides_0, weight = model_depth_head_scratch_refinenet3_resConfUnit2_conv2_weight_to_fp16, x = input_289_cast_fp16)[name = tensor<string, []>("x_97_cast_fp16")];
-            tensor<fp16, [1, 64, 37, 37]> input_291_cast_fp16 = add(x = x_97_cast_fp16, y = input_283_cast_fp16)[name = tensor<string, []>("input_291_cast_fp16")];
-            tensor<fp32, []> input_293_scale_factor_height_0 = const()[name = tensor<string, []>("input_293_scale_factor_height_0"), val = tensor<fp32, []>(0x1p+1)];
-            tensor<fp32, []> input_293_scale_factor_width_0 = const()[name = tensor<string, []>("input_293_scale_factor_width_0"), val = tensor<fp32, []>(0x1p+1)];
-            tensor<bool, []> input_293_align_corners_0 = const()[name = tensor<string, []>("input_293_align_corners_0"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 64, 74, 74]> input_293_cast_fp16 = upsample_bilinear(align_corners = input_293_align_corners_0, scale_factor_height = input_293_scale_factor_height_0, scale_factor_width = input_293_scale_factor_width_0, x = input_291_cast_fp16)[name = tensor<string, []>("input_293_cast_fp16")];
-            tensor<string, []> x_101_pad_type_0 = const()[name = tensor<string, []>("x_101_pad_type_0"), val = tensor<string, []>("valid")];
-            tensor<int32, [2]> x_101_strides_0 = const()[name = tensor<string, []>("x_101_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [4]> x_101_pad_0 = const()[name = tensor<string, []>("x_101_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
-            tensor<int32, [2]> x_101_dilations_0 = const()[name = tensor<string, []>("x_101_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> x_101_groups_0 = const()[name = tensor<string, []>("x_101_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 1, 1]> model_depth_head_scratch_refinenet3_out_conv_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet3_out_conv_weight_to_fp16"), val = tensor<fp16, [64, 64, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48763712)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet3_out_conv_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet3_out_conv_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48771968)))];
-            tensor<fp16, [1, 64, 74, 74]> x_101_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet3_out_conv_bias_to_fp16, dilations = x_101_dilations_0, groups = x_101_groups_0, pad = x_101_pad_0, pad_type = x_101_pad_type_0, strides = x_101_strides_0, weight = model_depth_head_scratch_refinenet3_out_conv_weight_to_fp16, x = input_293_cast_fp16)[name = tensor<string, []>("x_101_cast_fp16")];
-            tensor<fp16, [1, 64, 74, 74]> input_295_cast_fp16 = relu(x = layer_2_rn_cast_fp16)[name = tensor<string, []>("input_295_cast_fp16")];
-            tensor<string, []> input_297_pad_type_0 = const()[name = tensor<string, []>("input_297_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> input_297_pad_0 = const()[name = tensor<string, []>("input_297_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> input_297_strides_0 = const()[name = tensor<string, []>("input_297_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> input_297_dilations_0 = const()[name = tensor<string, []>("input_297_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_297_groups_0 = const()[name = tensor<string, []>("input_297_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet2_resConfUnit1_conv1_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet2_resConfUnit1_conv1_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48772160)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet2_resConfUnit1_conv1_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet2_resConfUnit1_conv1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48845952)))];
-            tensor<fp16, [1, 64, 74, 74]> input_297_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet2_resConfUnit1_conv1_bias_to_fp16, dilations = input_297_dilations_0, groups = input_297_groups_0, pad = input_297_pad_0, pad_type = input_297_pad_type_0, strides = input_297_strides_0, weight = model_depth_head_scratch_refinenet2_resConfUnit1_conv1_weight_to_fp16, x = input_295_cast_fp16)[name = tensor<string, []>("input_297_cast_fp16")];
-            tensor<fp16, [1, 64, 74, 74]> input_299_cast_fp16 = relu(x = input_297_cast_fp16)[name = tensor<string, []>("input_299_cast_fp16")];
-            tensor<string, []> x_99_pad_type_0 = const()[name = tensor<string, []>("x_99_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> x_99_pad_0 = const()[name = tensor<string, []>("x_99_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> x_99_strides_0 = const()[name = tensor<string, []>("x_99_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> x_99_dilations_0 = const()[name = tensor<string, []>("x_99_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> x_99_groups_0 = const()[name = tensor<string, []>("x_99_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet2_resConfUnit1_conv2_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet2_resConfUnit1_conv2_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48846144)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet2_resConfUnit1_conv2_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet2_resConfUnit1_conv2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48919936)))];
-            tensor<fp16, [1, 64, 74, 74]> x_99_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet2_resConfUnit1_conv2_bias_to_fp16, dilations = x_99_dilations_0, groups = x_99_groups_0, pad = x_99_pad_0, pad_type = x_99_pad_type_0, strides = x_99_strides_0, weight = model_depth_head_scratch_refinenet2_resConfUnit1_conv2_weight_to_fp16, x = input_299_cast_fp16)[name = tensor<string, []>("x_99_cast_fp16")];
-            tensor<fp16, [1, 64, 74, 74]> y_3_cast_fp16 = add(x = x_99_cast_fp16, y = layer_2_rn_cast_fp16)[name = tensor<string, []>("y_3_cast_fp16")];
-            tensor<fp16, [1, 64, 74, 74]> input_301_cast_fp16 = add(x = x_101_cast_fp16, y = y_3_cast_fp16)[name = tensor<string, []>("input_301_cast_fp16")];
-            tensor<fp16, [1, 64, 74, 74]> input_303_cast_fp16 = relu(x = input_301_cast_fp16)[name = tensor<string, []>("input_303_cast_fp16")];
-            tensor<string, []> input_305_pad_type_0 = const()[name = tensor<string, []>("input_305_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> input_305_pad_0 = const()[name = tensor<string, []>("input_305_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> input_305_strides_0 = const()[name = tensor<string, []>("input_305_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> input_305_dilations_0 = const()[name = tensor<string, []>("input_305_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_305_groups_0 = const()[name = tensor<string, []>("input_305_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet2_resConfUnit2_conv1_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet2_resConfUnit2_conv1_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48920128)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet2_resConfUnit2_conv1_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet2_resConfUnit2_conv1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48993920)))];
-            tensor<fp16, [1, 64, 74, 74]> input_305_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet2_resConfUnit2_conv1_bias_to_fp16, dilations = input_305_dilations_0, groups = input_305_groups_0, pad = input_305_pad_0, pad_type = input_305_pad_type_0, strides = input_305_strides_0, weight = model_depth_head_scratch_refinenet2_resConfUnit2_conv1_weight_to_fp16, x = input_303_cast_fp16)[name = tensor<string, []>("input_305_cast_fp16")];
-            tensor<fp16, [1, 64, 74, 74]> input_307_cast_fp16 = relu(x = input_305_cast_fp16)[name = tensor<string, []>("input_307_cast_fp16")];
-            tensor<string, []> x_103_pad_type_0 = const()[name = tensor<string, []>("x_103_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> x_103_pad_0 = const()[name = tensor<string, []>("x_103_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> x_103_strides_0 = const()[name = tensor<string, []>("x_103_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> x_103_dilations_0 = const()[name = tensor<string, []>("x_103_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> x_103_groups_0 = const()[name = tensor<string, []>("x_103_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet2_resConfUnit2_conv2_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet2_resConfUnit2_conv2_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(48994112)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet2_resConfUnit2_conv2_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet2_resConfUnit2_conv2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49067904)))];
-            tensor<fp16, [1, 64, 74, 74]> x_103_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet2_resConfUnit2_conv2_bias_to_fp16, dilations = x_103_dilations_0, groups = x_103_groups_0, pad = x_103_pad_0, pad_type = x_103_pad_type_0, strides = x_103_strides_0, weight = model_depth_head_scratch_refinenet2_resConfUnit2_conv2_weight_to_fp16, x = input_307_cast_fp16)[name = tensor<string, []>("x_103_cast_fp16")];
-            tensor<fp16, [1, 64, 74, 74]> input_309_cast_fp16 = add(x = x_103_cast_fp16, y = input_301_cast_fp16)[name = tensor<string, []>("input_309_cast_fp16")];
-            tensor<fp32, []> input_311_scale_factor_height_0 = const()[name = tensor<string, []>("input_311_scale_factor_height_0"), val = tensor<fp32, []>(0x1p+1)];
-            tensor<fp32, []> input_311_scale_factor_width_0 = const()[name = tensor<string, []>("input_311_scale_factor_width_0"), val = tensor<fp32, []>(0x1p+1)];
-            tensor<bool, []> input_311_align_corners_0 = const()[name = tensor<string, []>("input_311_align_corners_0"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 64, 148, 148]> input_311_cast_fp16 = upsample_bilinear(align_corners = input_311_align_corners_0, scale_factor_height = input_311_scale_factor_height_0, scale_factor_width = input_311_scale_factor_width_0, x = input_309_cast_fp16)[name = tensor<string, []>("input_311_cast_fp16")];
-            tensor<string, []> x_107_pad_type_0 = const()[name = tensor<string, []>("x_107_pad_type_0"), val = tensor<string, []>("valid")];
-            tensor<int32, [2]> x_107_strides_0 = const()[name = tensor<string, []>("x_107_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [4]> x_107_pad_0 = const()[name = tensor<string, []>("x_107_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
-            tensor<int32, [2]> x_107_dilations_0 = const()[name = tensor<string, []>("x_107_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> x_107_groups_0 = const()[name = tensor<string, []>("x_107_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 1, 1]> model_depth_head_scratch_refinenet2_out_conv_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet2_out_conv_weight_to_fp16"), val = tensor<fp16, [64, 64, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49068096)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet2_out_conv_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet2_out_conv_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49076352)))];
-            tensor<fp16, [1, 64, 148, 148]> x_107_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet2_out_conv_bias_to_fp16, dilations = x_107_dilations_0, groups = x_107_groups_0, pad = x_107_pad_0, pad_type = x_107_pad_type_0, strides = x_107_strides_0, weight = model_depth_head_scratch_refinenet2_out_conv_weight_to_fp16, x = input_311_cast_fp16)[name = tensor<string, []>("x_107_cast_fp16")];
-            tensor<fp16, [1, 64, 148, 148]> input_313_cast_fp16 = relu(x = layer_1_rn_cast_fp16)[name = tensor<string, []>("input_313_cast_fp16")];
-            tensor<string, []> input_315_pad_type_0 = const()[name = tensor<string, []>("input_315_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> input_315_pad_0 = const()[name = tensor<string, []>("input_315_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> input_315_strides_0 = const()[name = tensor<string, []>("input_315_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> input_315_dilations_0 = const()[name = tensor<string, []>("input_315_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_315_groups_0 = const()[name = tensor<string, []>("input_315_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet1_resConfUnit1_conv1_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet1_resConfUnit1_conv1_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49076544)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet1_resConfUnit1_conv1_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet1_resConfUnit1_conv1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49150336)))];
-            tensor<fp16, [1, 64, 148, 148]> input_315_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet1_resConfUnit1_conv1_bias_to_fp16, dilations = input_315_dilations_0, groups = input_315_groups_0, pad = input_315_pad_0, pad_type = input_315_pad_type_0, strides = input_315_strides_0, weight = model_depth_head_scratch_refinenet1_resConfUnit1_conv1_weight_to_fp16, x = input_313_cast_fp16)[name = tensor<string, []>("input_315_cast_fp16")];
-            tensor<fp16, [1, 64, 148, 148]> input_317_cast_fp16 = relu(x = input_315_cast_fp16)[name = tensor<string, []>("input_317_cast_fp16")];
-            tensor<string, []> x_105_pad_type_0 = const()[name = tensor<string, []>("x_105_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> x_105_pad_0 = const()[name = tensor<string, []>("x_105_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> x_105_strides_0 = const()[name = tensor<string, []>("x_105_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> x_105_dilations_0 = const()[name = tensor<string, []>("x_105_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> x_105_groups_0 = const()[name = tensor<string, []>("x_105_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet1_resConfUnit1_conv2_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet1_resConfUnit1_conv2_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49150528)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet1_resConfUnit1_conv2_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet1_resConfUnit1_conv2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49224320)))];
-            tensor<fp16, [1, 64, 148, 148]> x_105_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet1_resConfUnit1_conv2_bias_to_fp16, dilations = x_105_dilations_0, groups = x_105_groups_0, pad = x_105_pad_0, pad_type = x_105_pad_type_0, strides = x_105_strides_0, weight = model_depth_head_scratch_refinenet1_resConfUnit1_conv2_weight_to_fp16, x = input_317_cast_fp16)[name = tensor<string, []>("x_105_cast_fp16")];
-            tensor<fp16, [1, 64, 148, 148]> y_cast_fp16 = add(x = x_105_cast_fp16, y = layer_1_rn_cast_fp16)[name = tensor<string, []>("y_cast_fp16")];
-            tensor<fp16, [1, 64, 148, 148]> input_319_cast_fp16 = add(x = x_107_cast_fp16, y = y_cast_fp16)[name = tensor<string, []>("input_319_cast_fp16")];
-            tensor<fp16, [1, 64, 148, 148]> input_321_cast_fp16 = relu(x = input_319_cast_fp16)[name = tensor<string, []>("input_321_cast_fp16")];
-            tensor<string, []> input_323_pad_type_0 = const()[name = tensor<string, []>("input_323_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> input_323_pad_0 = const()[name = tensor<string, []>("input_323_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> input_323_strides_0 = const()[name = tensor<string, []>("input_323_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> input_323_dilations_0 = const()[name = tensor<string, []>("input_323_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_323_groups_0 = const()[name = tensor<string, []>("input_323_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet1_resConfUnit2_conv1_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet1_resConfUnit2_conv1_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49224512)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet1_resConfUnit2_conv1_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet1_resConfUnit2_conv1_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49298304)))];
-            tensor<fp16, [1, 64, 148, 148]> input_323_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet1_resConfUnit2_conv1_bias_to_fp16, dilations = input_323_dilations_0, groups = input_323_groups_0, pad = input_323_pad_0, pad_type = input_323_pad_type_0, strides = input_323_strides_0, weight = model_depth_head_scratch_refinenet1_resConfUnit2_conv1_weight_to_fp16, x = input_321_cast_fp16)[name = tensor<string, []>("input_323_cast_fp16")];
-            tensor<fp16, [1, 64, 148, 148]> input_325_cast_fp16 = relu(x = input_323_cast_fp16)[name = tensor<string, []>("input_325_cast_fp16")];
-            tensor<string, []> x_pad_type_0 = const()[name = tensor<string, []>("x_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> x_pad_0 = const()[name = tensor<string, []>("x_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> x_strides_0 = const()[name = tensor<string, []>("x_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> x_dilations_0 = const()[name = tensor<string, []>("x_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> x_groups_0 = const()[name = tensor<string, []>("x_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 3, 3]> model_depth_head_scratch_refinenet1_resConfUnit2_conv2_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet1_resConfUnit2_conv2_weight_to_fp16"), val = tensor<fp16, [64, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49298496)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet1_resConfUnit2_conv2_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet1_resConfUnit2_conv2_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49372288)))];
-            tensor<fp16, [1, 64, 148, 148]> x_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet1_resConfUnit2_conv2_bias_to_fp16, dilations = x_dilations_0, groups = x_groups_0, pad = x_pad_0, pad_type = x_pad_type_0, strides = x_strides_0, weight = model_depth_head_scratch_refinenet1_resConfUnit2_conv2_weight_to_fp16, x = input_325_cast_fp16)[name = tensor<string, []>("x_cast_fp16")];
-            tensor<fp16, [1, 64, 148, 148]> input_327_cast_fp16 = add(x = x_cast_fp16, y = input_319_cast_fp16)[name = tensor<string, []>("input_327_cast_fp16")];
-            tensor<fp32, []> input_329_scale_factor_height_0 = const()[name = tensor<string, []>("input_329_scale_factor_height_0"), val = tensor<fp32, []>(0x1p+1)];
-            tensor<fp32, []> input_329_scale_factor_width_0 = const()[name = tensor<string, []>("input_329_scale_factor_width_0"), val = tensor<fp32, []>(0x1p+1)];
-            tensor<bool, []> input_329_align_corners_0 = const()[name = tensor<string, []>("input_329_align_corners_0"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 64, 296, 296]> input_329_cast_fp16 = upsample_bilinear(align_corners = input_329_align_corners_0, scale_factor_height = input_329_scale_factor_height_0, scale_factor_width = input_329_scale_factor_width_0, x = input_327_cast_fp16)[name = tensor<string, []>("input_329_cast_fp16")];
-            tensor<string, []> input_331_pad_type_0 = const()[name = tensor<string, []>("input_331_pad_type_0"), val = tensor<string, []>("valid")];
-            tensor<int32, [2]> input_331_strides_0 = const()[name = tensor<string, []>("input_331_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [4]> input_331_pad_0 = const()[name = tensor<string, []>("input_331_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
-            tensor<int32, [2]> input_331_dilations_0 = const()[name = tensor<string, []>("input_331_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_331_groups_0 = const()[name = tensor<string, []>("input_331_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [64, 64, 1, 1]> model_depth_head_scratch_refinenet1_out_conv_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet1_out_conv_weight_to_fp16"), val = tensor<fp16, [64, 64, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49372480)))];
-            tensor<fp16, [64]> model_depth_head_scratch_refinenet1_out_conv_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_refinenet1_out_conv_bias_to_fp16"), val = tensor<fp16, [64]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49380736)))];
-            tensor<fp16, [1, 64, 296, 296]> input_331_cast_fp16 = conv(bias = model_depth_head_scratch_refinenet1_out_conv_bias_to_fp16, dilations = input_331_dilations_0, groups = input_331_groups_0, pad = input_331_pad_0, pad_type = input_331_pad_type_0, strides = input_331_strides_0, weight = model_depth_head_scratch_refinenet1_out_conv_weight_to_fp16, x = input_329_cast_fp16)[name = tensor<string, []>("input_331_cast_fp16")];
-            tensor<string, []> input_333_pad_type_0 = const()[name = tensor<string, []>("input_333_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> input_333_pad_0 = const()[name = tensor<string, []>("input_333_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> input_333_strides_0 = const()[name = tensor<string, []>("input_333_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> input_333_dilations_0 = const()[name = tensor<string, []>("input_333_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_333_groups_0 = const()[name = tensor<string, []>("input_333_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [32, 64, 3, 3]> model_depth_head_scratch_output_conv1_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_output_conv1_weight_to_fp16"), val = tensor<fp16, [32, 64, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49380928)))];
-            tensor<fp16, [32]> model_depth_head_scratch_output_conv1_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_output_conv1_bias_to_fp16"), val = tensor<fp16, [32]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49417856)))];
-            tensor<fp16, [1, 32, 296, 296]> input_333_cast_fp16 = conv(bias = model_depth_head_scratch_output_conv1_bias_to_fp16, dilations = input_333_dilations_0, groups = input_333_groups_0, pad = input_333_pad_0, pad_type = input_333_pad_type_0, strides = input_333_strides_0, weight = model_depth_head_scratch_output_conv1_weight_to_fp16, x = input_331_cast_fp16)[name = tensor<string, []>("input_333_cast_fp16")];
-            tensor<fp32, []> input_335_scale_factor_height_0 = const()[name = tensor<string, []>("input_335_scale_factor_height_0"), val = tensor<fp32, []>(0x1.c00006p+0)];
-            tensor<fp32, []> input_335_scale_factor_width_0 = const()[name = tensor<string, []>("input_335_scale_factor_width_0"), val = tensor<fp32, []>(0x1.c00006p+0)];
-            tensor<bool, []> input_335_align_corners_0 = const()[name = tensor<string, []>("input_335_align_corners_0"), val = tensor<bool, []>(true)];
-            tensor<fp16, [1, 32, 518, 518]> input_335_cast_fp16 = upsample_bilinear(align_corners = input_335_align_corners_0, scale_factor_height = input_335_scale_factor_height_0, scale_factor_width = input_335_scale_factor_width_0, x = input_333_cast_fp16)[name = tensor<string, []>("input_335_cast_fp16")];
-            tensor<string, []> input_337_pad_type_0 = const()[name = tensor<string, []>("input_337_pad_type_0"), val = tensor<string, []>("custom")];
-            tensor<int32, [4]> input_337_pad_0 = const()[name = tensor<string, []>("input_337_pad_0"), val = tensor<int32, [4]>([1, 1, 1, 1])];
-            tensor<int32, [2]> input_337_strides_0 = const()[name = tensor<string, []>("input_337_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [2]> input_337_dilations_0 = const()[name = tensor<string, []>("input_337_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_337_groups_0 = const()[name = tensor<string, []>("input_337_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [32, 32, 3, 3]> model_depth_head_scratch_output_conv2_0_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_output_conv2_0_weight_to_fp16"), val = tensor<fp16, [32, 32, 3, 3]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49417984)))];
-            tensor<fp16, [32]> model_depth_head_scratch_output_conv2_0_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_output_conv2_0_bias_to_fp16"), val = tensor<fp16, [32]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49436480)))];
-            tensor<fp16, [1, 32, 518, 518]> input_337_cast_fp16 = conv(bias = model_depth_head_scratch_output_conv2_0_bias_to_fp16, dilations = input_337_dilations_0, groups = input_337_groups_0, pad = input_337_pad_0, pad_type = input_337_pad_type_0, strides = input_337_strides_0, weight = model_depth_head_scratch_output_conv2_0_weight_to_fp16, x = input_335_cast_fp16)[name = tensor<string, []>("input_337_cast_fp16")];
-            tensor<fp16, [1, 32, 518, 518]> input_339_cast_fp16 = relu(x = input_337_cast_fp16)[name = tensor<string, []>("input_339_cast_fp16")];
-            tensor<string, []> input_341_pad_type_0 = const()[name = tensor<string, []>("input_341_pad_type_0"), val = tensor<string, []>("valid")];
-            tensor<int32, [2]> input_341_strides_0 = const()[name = tensor<string, []>("input_341_strides_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, [4]> input_341_pad_0 = const()[name = tensor<string, []>("input_341_pad_0"), val = tensor<int32, [4]>([0, 0, 0, 0])];
-            tensor<int32, [2]> input_341_dilations_0 = const()[name = tensor<string, []>("input_341_dilations_0"), val = tensor<int32, [2]>([1, 1])];
-            tensor<int32, []> input_341_groups_0 = const()[name = tensor<string, []>("input_341_groups_0"), val = tensor<int32, []>(1)];
-            tensor<fp16, [1, 32, 1, 1]> model_depth_head_scratch_output_conv2_2_weight_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_output_conv2_2_weight_to_fp16"), val = tensor<fp16, [1, 32, 1, 1]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(49436608)))];
-            tensor<fp16, [1]> model_depth_head_scratch_output_conv2_2_bias_to_fp16 = const()[name = tensor<string, []>("model_depth_head_scratch_output_conv2_2_bias_to_fp16"), val = tensor<fp16, [1]>([0x1.6b4p-4])];
-            tensor<fp16, [1, 1, 518, 518]> input_341_cast_fp16 = conv(bias = model_depth_head_scratch_output_conv2_2_bias_to_fp16, dilations = input_341_dilations_0, groups = input_341_groups_0, pad = input_341_pad_0, pad_type = input_341_pad_type_0, strides = input_341_strides_0, weight = model_depth_head_scratch_output_conv2_2_weight_to_fp16, x = input_339_cast_fp16)[name = tensor<string, []>("input_341_cast_fp16")];
-            tensor<fp16, [1, 1, 518, 518]> input_cast_fp16 = relu(x = input_341_cast_fp16)[name = tensor<string, []>("input_cast_fp16")];
-            tensor<int32, [1]> var_1232_axes_0 = const()[name = tensor<string, []>("op_1232_axes_0"), val = tensor<int32, [1]>([1])];
-            tensor<fp16, [1, 518, 518]> var_1232_cast_fp16 = squeeze(axes = var_1232_axes_0, x = input_cast_fp16)[name = tensor<string, []>("op_1232_cast_fp16")];
-            tensor<string, []> var_1232_cast_fp16_to_fp32_dtype_0 = const()[name = tensor<string, []>("op_1232_cast_fp16_to_fp32_dtype_0"), val = tensor<string, []>("fp32")];
-            tensor<fp32, [1, 518, 518]> depth = cast(dtype = var_1232_cast_fp16_to_fp32_dtype_0, x = var_1232_cast_fp16)[name = tensor<string, []>("cast_31")];
-        } -> (depth);
-}
\ No newline at end of file
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diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARBodyMeshingPointsiOS.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARBodyMeshingPointsiOS.h
deleted file mode 100644
index 9360f357..00000000
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARBodyMeshingPointsiOS.h
+++ /dev/null
@@ -1,109 +0,0 @@
-//
-//  VROARBodyMeshingPointsiOS.h
-//  ViroKit
-//
-//  Created by vik.advani on 9/4/18.
-//  Copyright © 2018 Viro Media. All rights reserved.
-//
-
-#ifndef VROARBodyMeshingPointsiOS_h
-#define VROARBodyMeshingPointsiOS_h
-
-#include <memory>
-#include "VROCameraTexture.h"
-#import <Foundation/Foundation.h>
-#import <AVFoundation/AVFoundation.h>
-#import <CoreML/CoreML.h>
-#import <Vision/Vision.h>
-
-class VRODriver;
-
-enum class VROBodyMeshingJoints {
-        kTop = 0,
-        kNeck = 1,
-        kRightShoulder = 2,
-        kRightElbow = 3,
-        kRightWrist = 4,
-        kLeftShoulder = 5,
-        kLeftElbow =6,
-        kLeftWrist = 7,
-        kRightHip = 8,
-        kRightKnee = 9,
-        kRightAnkle = 10,
-        kLeftHip = 11,
-        kLeftKnee = 12,
-        kLeftAngle = 13,
-    
- };
-
-@interface VROBodyMeshingCaptureDelegate : NSObject <AVCaptureVideoDataOutputSampleBufferDelegate> {
-    CMTime _lastTimestamp;
-    int32_t _fps;
-    VNCoreMLRequest *_coreMLRequest;
-}
-
-- (id)initWithMLRequest:(VNCoreMLRequest *)coreMLRequest;
-
-@end
-
-class BodyPoint  {
-public:
-    BodyPoint(CGPoint point, double confidence) {
-        _point = point;
-        _confidence = confidence;
-    }
-
-    CGPoint _point;
-    double _confidence;
-};
-
-@interface BodyPointImpl: NSObject
-    @property (readwrite, nonatomic) CGPoint _point;
-    @property (readwrite, nonatomic) double _confidence;
-@end
-
-class VROARBodyMeshingPointsiOS {
-    
-    public:
-        class VROBodyMeshingDelegate {
-            public:
-                virtual void onBodyMeshJointsAvail(NSDictionary *joints) {};
-        };
-    
-    
-        VROARBodyMeshingPointsiOS();
-        bool initBodyTracking(VROCameraPosition position, std::shared_ptr<VRODriver> driver);
-        bool isBodyPointConfidenceLessThan(BodyPointImpl *bodyPoint, float confidence);
-        void startBodyTracking();
-        void stopBodyTracking();
-        void processBuffer(CVPixelBufferRef sampleBuffer);
-        uint8_t ClampIntToByte(int n);
-        uint8_t clamp(int16_t input);
-        void printBodyPoint(NSDictionary *bodyPoints, VROBodyMeshingJoints jointType);
-        void writeImageToDisk(CVPixelBufferRef imageBuffer);
-        CVPixelBufferRef convertImage(CVImageBufferRef imageBuffer);
-        NSDictionary  * convert(MLMultiArray *heatmap);
-
-        void setDelegate(std::shared_ptr<VROBodyMeshingDelegate> delegate) {
-            auto autoWeakDelegate = delegate;
-            _bodyMeshDelegateWeak = autoWeakDelegate;
-        }
-    private:
-        /*
-         Capture session and delegate used for live video playback.
-         */
-        AVCaptureSession *_captureSession;
-        MLModel *_model;
-        VNCoreMLModel *_coreMLModel;
-        VNCoreMLRequest *_coreMLRequest;
-        CMTime _lastTimestamp;
-        int32_t _fps;
-        VROBodyMeshingCaptureDelegate *_delegate;
-        dispatch_queue_t bodyMeshingQueue;
-        std::weak_ptr<VROBodyMeshingDelegate> _bodyMeshDelegateWeak;
-        CVPixelBufferRef rotatedBuffer;
-};
-
-#endif
-
-
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARFrame.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARFrame.h
index 1c78d776..5cc79f10 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARFrame.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARFrame.h
@@ -119,6 +119,17 @@ class VROARFrame {
      */
     virtual std::shared_ptr<VROARPointCloud> getPointCloud() = 0;
 
+    /*
+     Returns a tightly-packed (stride == width), row-major Y (luma) plane of the
+     camera image.  width and height are set to the plane dimensions.
+     The pointer is valid for the lifetime of this frame object; caller must NOT free it.
+     Returns false if the luma plane is unavailable (platform unsupported, frame not ready).
+     */
+    virtual bool getCameraImageY(const uint8_t** data, int* width, int* height) {
+        (void)data; (void)width; (void)height;
+        return false;
+    }
+
     /*
      Get the depth texture for this frame, if available.
      Returns nullptr if depth is not supported or not enabled.
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARFrameiOS.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARFrameiOS.h
index 6419f5e3..99d9bf28 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARFrameiOS.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARFrameiOS.h
@@ -70,6 +70,7 @@ class API_AVAILABLE(ios(12.0)) VROARFrameiOS : public VROARFrame {
     VROVector3f getAmbientLightColor() const;
 
     std::shared_ptr<VROARPointCloud> getPointCloud();
+    bool getCameraImageY(const uint8_t** data, int* width, int* height) override;
 
     // Depth data support (iOS 14.0+ with LiDAR)
     std::shared_ptr<VROTexture> getDepthTexture() override;
@@ -116,6 +117,10 @@ class API_AVAILABLE(ios(12.0)) VROARFrameiOS : public VROARFrame {
     mutable std::shared_ptr<VROTexture> _depthTexture;
     mutable std::shared_ptr<VROTexture> _depthConfidenceTexture;
 
+    // Cached tightly-packed Y plane (acquired lazily via getCameraImageY)
+    mutable std::vector<uint8_t> _lumaData;
+    mutable int _lumaW = 0, _lumaH = 0;
+
     /*
      Sample depth texture at normalized UV coordinates (0-1 range).
      Returns depth value in meters, or 0.0 if invalid.
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARPlaneAnchor.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARPlaneAnchor.h
index a9018216..4deddb84 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARPlaneAnchor.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARPlaneAnchor.h
@@ -40,7 +40,7 @@
  Thresholds:
  - Minimum extent change: 1cm or 5%
  - Minimum center change: 1cm
- - Update throttle: 100ms (10 updates/sec max)
+ - Update throttle: 33ms early (first 20 updates), 66ms mature
  */
 #define VRO_PLANE_CHANGE_DETECTION_ENABLED
 
@@ -177,15 +177,14 @@ class VROARPlaneAnchor : public VROARAnchor {
         // Check extent change (absolute and percentage)
         VROVector3f extentDiff = newExtent - _extent;
         float maxExtentDiff = std::max(std::abs(extentDiff.x), std::abs(extentDiff.z));
+        // Absolute threshold: any 1cm change is significant
         if (maxExtentDiff > EXTENT_THRESHOLD) {
-            // Also check percentage change for larger planes
-            if (_extent.magnitude() > 0.001f) {
-                float percentChange = maxExtentDiff / _extent.magnitude();
-                if (percentChange > EXTENT_PERCENT_THRESHOLD) {
-                    return true;
-                }
-            } else {
-                // For very small planes, any change is significant
+            return true;
+        }
+        // Relative threshold: significant % change even if absolute is small
+        if (_extent.magnitude() > 0.001f) {
+            float percentChange = maxExtentDiff / _extent.magnitude();
+            if (percentChange > EXTENT_PERCENT_THRESHOLD) {
                 return true;
             }
         }
@@ -221,13 +220,11 @@ class VROARPlaneAnchor : public VROARAnchor {
 
     // Check if update should be throttled
     bool shouldThrottleUpdate() const {
-        // Minimum time between updates (milliseconds)
-        static const int MIN_UPDATE_INTERVAL_MS = 100; // 10 updates per second max
-
+        // First 20 updates: ~30fps (33ms). After: ~15fps (66ms).
+        int intervalMs = (_updateCount < 20) ? 33 : 66;
         auto now = std::chrono::steady_clock::now();
         auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(now - _lastUpdateTime).count();
-
-        return elapsed < MIN_UPDATE_INTERVAL_MS;
+        return elapsed < intervalMs;
     }
 
     // Mark that an update occurred
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARScene.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARScene.h
index ea44a03d..13767481 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARScene.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARScene.h
@@ -58,7 +58,7 @@ class VROARScene : public VROScene {
             _ambientLightColor = { 1.0, 1.0, 1.0 };
             _pointCloudNode = std::make_shared<VRONode>();
             _pointCloudEmitter = nullptr;
-            _detectionTypes = { VROAnchorDetection::PlanesHorizontal }; //default is horizontal
+            _detectionTypes = { VROAnchorDetection::PlanesHorizontal, VROAnchorDetection::PlanesVertical };
         };
     virtual ~VROARScene();
     
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARSession.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARSession.h
index e1336218..7a397877 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARSession.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARSession.h
@@ -97,11 +97,13 @@ enum class VROImageTrackingImpl {
 enum class VROCloudAnchorProvider {
     None,
     ARCore,
+    ReactVision,  // ReactVision custom backend (ReactVisionCCA)
 };
 
 enum class VROGeospatialAnchorProvider {
     None,
     ARCoreGeospatial,
+    ReactVision,  // ReactVision custom backend (RVCCAGeospatialProvider)
 };
 
 /*
@@ -111,7 +113,8 @@ enum class VROGeospatialAnchorProvider {
 enum class VROOcclusionMode {
     Disabled,       // No occlusion - virtual objects always render on top
     DepthBased,     // Use depth data to occlude virtual objects behind real-world surfaces
-    PeopleOnly      // Only occlude virtual objects behind detected people (iOS 13+/Android with ARCore)
+    PeopleOnly,     // Only occlude virtual objects behind detected people (iOS 13+/Android with ARCore)
+    DepthOnly       // Activates depth sensing WITHOUT occlusion rendering (depth data available, no visual occlusion)
 };
 
 /*
@@ -443,6 +446,25 @@ class VROARSession {
         }
     }
 
+    virtual void resolveGeospatialAnchor(const std::string& platformUuid, VROQuaternion quaternion,
+                                          std::function<void(std::shared_ptr<VROGeospatialAnchor>)> onSuccess,
+                                          std::function<void(std::string error)> onFailure) {
+        if (onFailure) {
+            onFailure("Resolve geospatial anchor not supported");
+        }
+    }
+
+    // Host a geospatial anchor to the ReactVision backend at the given GPS position.
+    // Returns the platform UUID via onSuccess(platformUuid) string callback.
+    virtual void hostGeospatialAnchor(double latitude, double longitude, double altitude,
+                                       const std::string& altitudeMode,
+                                       std::function<void(std::string platformUuid)> onSuccess,
+                                       std::function<void(std::string error)> onFailure) {
+        if (onFailure) {
+            onFailure("Host geospatial anchor not supported");
+        }
+    }
+
     /*
      Create a terrain anchor at the specified location.
      Terrain anchors are positioned relative to the terrain surface.
@@ -478,6 +500,140 @@ class VROARSession {
         // Default implementation does nothing
     }
 
+    // ========================================================================
+    // ReactVision Cloud Anchor Management API
+    // These do not require an active AR frame — they are pure backend operations.
+    // ========================================================================
+
+    virtual void rvGetCloudAnchor(
+        const std::string& anchorId,
+        std::function<void(bool success, std::string jsonData, std::string error)> callback) {
+        if (callback) callback(false, "", "Not supported");
+    }
+    virtual void rvListCloudAnchors(
+        int limit, int offset,
+        std::function<void(bool success, std::string jsonData, std::string error)> callback) {
+        if (callback) callback(false, "", "Not supported");
+    }
+    virtual void rvUpdateCloudAnchor(
+        const std::string& anchorId,
+        const std::string& name,
+        const std::string& description,
+        bool isPublic,
+        std::function<void(bool success, std::string jsonData, std::string error)> callback) {
+        if (callback) callback(false, "", "Not supported");
+    }
+    virtual void rvDeleteCloudAnchor(
+        const std::string& anchorId,
+        std::function<void(bool success, std::string error)> callback) {
+        if (callback) callback(false, "Not supported");
+    }
+    virtual void rvFindNearbyCloudAnchors(
+        double lat, double lng, double radius, int limit,
+        std::function<void(bool success, std::string jsonData, std::string error)> callback) {
+        if (callback) callback(false, "", "Not supported");
+    }
+    virtual void rvAttachAssetToCloudAnchor(
+        const std::string& anchorId,
+        const std::string& fileUrl,
+        int64_t fileSize,
+        const std::string& name,
+        const std::string& assetType,
+        const std::string& externalUserId,
+        std::function<void(bool success, std::string error)> callback) {
+        if (callback) callback(false, "Not supported");
+    }
+    virtual void rvRemoveAssetFromCloudAnchor(
+        const std::string& anchorId,
+        const std::string& assetId,
+        std::function<void(bool success, std::string error)> callback) {
+        if (callback) callback(false, "Not supported");
+    }
+    virtual void rvTrackCloudAnchorResolution(
+        const std::string& anchorId,
+        bool success, double confidence,
+        int matchCount, int inlierCount, int processingTimeMs,
+        const std::string& platform, const std::string& externalUserId,
+        std::function<void(bool success, std::string error)> callback) {
+        if (callback) callback(false, "Not supported");
+    }
+
+    // ========================================================================
+    // ReactVision Geospatial CRUD API
+    // These methods route directly to the ReactVision backend and are only
+    // meaningful when geospatialAnchorProvider == ReactVision.
+    // ========================================================================
+
+    /*
+     Retrieve a geospatial anchor record by ID (with linked scene asset / scene data).
+     Callback receives (success, jsonData, error).
+     */
+    virtual void rvGetGeospatialAnchor(
+        const std::string& anchorId,
+        std::function<void(bool success, std::string jsonData, std::string error)> callback) {
+        if (callback) callback(false, "", "Not supported");
+    }
+
+    /*
+     Find geospatial anchors within radius metres of the given GPS coordinate.
+     Callback receives (success, jsonArrayData, error).
+     */
+    virtual void rvFindNearbyGeospatialAnchors(
+        double lat, double lng, double radius, int limit,
+        std::function<void(bool success, std::string jsonData, std::string error)> callback) {
+        if (callback) callback(false, "", "Not supported");
+    }
+
+    /*
+     Update an existing geospatial anchor (link scene asset, scene, user asset, or rename).
+     Pass empty strings to leave a field unchanged.
+     Callback receives (success, jsonData, error).
+     */
+    virtual void rvUpdateGeospatialAnchor(
+        const std::string& anchorId,
+        const std::string& sceneAssetId,
+        const std::string& sceneId,
+        const std::string& name,
+        const std::string& userAssetId,
+        std::function<void(bool success, std::string jsonData, std::string error)> callback) {
+        if (callback) callback(false, "", "Not supported");
+    }
+
+    /*
+     Upload a file to ReactVision storage and return a user_asset_id.
+     filePath must be a local file path readable by the native layer.
+     assetType: "3d-model" | "image" | "video" | "audio"
+     Callback receives (success, userAssetId, fileUrl, error).
+     */
+    virtual void rvUploadAsset(
+        const std::string& filePath,
+        const std::string& assetType,
+        const std::string& fileName,
+        const std::string& appUserId,
+        std::function<void(bool success, std::string userAssetId, std::string fileUrl, std::string error)> callback) {
+        if (callback) callback(false, "", "", "Not supported");
+    }
+
+    /*
+     Permanently delete a geospatial anchor from the ReactVision backend.
+     Callback receives (success, error).
+     */
+    virtual void rvDeleteGeospatialAnchor(
+        const std::string& anchorId,
+        std::function<void(bool success, std::string error)> callback) {
+        if (callback) callback(false, "Not supported");
+    }
+
+    /*
+     List geospatial anchors for the current project (paginated).
+     Callback receives (success, jsonArrayData, error).
+     */
+    virtual void rvListGeospatialAnchors(
+        int limit, int offset,
+        std::function<void(bool success, std::string jsonData, std::string error)> callback) {
+        if (callback) callback(false, "", "Not supported");
+    }
+
     // ========================================================================
     // Scene Semantics API
     // ========================================================================
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARSessioniOS.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARSessioniOS.h
index 0e330721..e83e08bc 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARSessioniOS.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROARSessioniOS.h
@@ -42,6 +42,8 @@ class VROTrackingHelper;
 class VROMonocularDepthEstimator;
 @class VROARKitSessionDelegate;
 @class VROCloudAnchorProviderARCore;
+@class VROCloudAnchorProviderReactVision;
+namespace ReactVisionCCA { class RVCCAGeospatialProvider; }
 
 class API_AVAILABLE(ios(12.0)) VROARSessioniOS : public VROARSession, public std::enable_shared_from_this<VROARSessioniOS> {
 public:
@@ -139,6 +141,13 @@ class API_AVAILABLE(ios(12.0)) VROARSessioniOS : public VROARSession, public std
                                 VROQuaternion quaternion,
                                 std::function<void(std::shared_ptr<VROGeospatialAnchor>)> onSuccess,
                                 std::function<void(std::string error)> onFailure) override;
+    void resolveGeospatialAnchor(const std::string& platformUuid, VROQuaternion quaternion,
+                                  std::function<void(std::shared_ptr<VROGeospatialAnchor>)> onSuccess,
+                                  std::function<void(std::string error)> onFailure) override;
+    void hostGeospatialAnchor(double latitude, double longitude, double altitude,
+                               const std::string& altitudeMode,
+                               std::function<void(std::string platformUuid)> onSuccess,
+                               std::function<void(std::string error)> onFailure) override;
     void createTerrainAnchor(double latitude, double longitude, double altitudeAboveTerrain,
                              VROQuaternion quaternion,
                              std::function<void(std::shared_ptr<VROGeospatialAnchor>)> onSuccess,
@@ -148,6 +157,44 @@ class API_AVAILABLE(ios(12.0)) VROARSessioniOS : public VROARSession, public std
                              std::function<void(std::shared_ptr<VROGeospatialAnchor>)> onSuccess,
                              std::function<void(std::string error)> onFailure) override;
     void removeGeospatialAnchor(std::shared_ptr<VROGeospatialAnchor> anchor) override;
+    void rvGetGeospatialAnchor(const std::string& anchorId,
+        std::function<void(bool, std::string, std::string)> callback) override;
+    void rvFindNearbyGeospatialAnchors(double lat, double lng, double radius, int limit,
+        std::function<void(bool, std::string, std::string)> callback) override;
+    void rvUpdateGeospatialAnchor(const std::string& anchorId,
+        const std::string& sceneAssetId, const std::string& sceneId, const std::string& name,
+        const std::string& userAssetId,
+        std::function<void(bool, std::string, std::string)> callback) override;
+    void rvUploadAsset(const std::string& filePath, const std::string& assetType,
+        const std::string& fileName, const std::string& appUserId,
+        std::function<void(bool, std::string, std::string, std::string)> callback) override;
+    void rvDeleteGeospatialAnchor(const std::string& anchorId,
+        std::function<void(bool, std::string)> callback) override;
+    void rvListGeospatialAnchors(int limit, int offset,
+        std::function<void(bool, std::string, std::string)> callback) override;
+
+    // Cloud anchor management
+    void rvGetCloudAnchor(const std::string& anchorId,
+        std::function<void(bool, std::string, std::string)> callback) override;
+    void rvListCloudAnchors(int limit, int offset,
+        std::function<void(bool, std::string, std::string)> callback) override;
+    void rvUpdateCloudAnchor(const std::string& anchorId, const std::string& name,
+        const std::string& description, bool isPublic,
+        std::function<void(bool, std::string, std::string)> callback) override;
+    void rvDeleteCloudAnchor(const std::string& anchorId,
+        std::function<void(bool, std::string)> callback) override;
+    void rvFindNearbyCloudAnchors(double lat, double lng, double radius, int limit,
+        std::function<void(bool, std::string, std::string)> callback) override;
+    void rvAttachAssetToCloudAnchor(const std::string& anchorId, const std::string& fileUrl,
+        int64_t fileSize, const std::string& name, const std::string& assetType,
+        const std::string& externalUserId,
+        std::function<void(bool, std::string)> callback) override;
+    void rvRemoveAssetFromCloudAnchor(const std::string& anchorId, const std::string& assetId,
+        std::function<void(bool, std::string)> callback) override;
+    void rvTrackCloudAnchorResolution(const std::string& anchorId, bool success,
+        double confidence, int matchCount, int inlierCount, int processingTimeMs,
+        const std::string& platform, const std::string& externalUserId,
+        std::function<void(bool, std::string)> callback) override;
 
     // Scene Semantics API
     bool isSemanticModeSupported() const override;
@@ -197,6 +244,32 @@ class API_AVAILABLE(ios(12.0)) VROARSessioniOS : public VROARSession, public std
      The ARCore cloud anchor provider instance (for iOS using ARCore SDK).
      */
     VROCloudAnchorProviderARCore *_cloudAnchorProviderARCore = nil;
+
+    /*
+     The ReactVision cloud anchor provider instance.
+     Reads RVApiKey and RVProjectId from Info.plist.
+     */
+    VROCloudAnchorProviderReactVision *_cloudAnchorProviderRV = nil;
+
+    /*
+     The ReactVision geospatial provider instance.
+     Active when setGeospatialAnchorProvider(ReactVision) is called.
+     */
+    std::shared_ptr<ReactVisionCCA::RVCCAGeospatialProvider> _geospatialProviderRV;
+    std::string _rvGeoProjectId;
+
+    /*
+     CLLocationManager delegate for ReactVision geospatial — provides GPS pose
+     when ARCore VPS is not in use.
+     */
+    id _rvLocationDelegate;
+
+    /*
+     Last GPS pose received from Core Location (ReactVision provider path).
+     Updated on the main thread; read from any thread via getCameraGeospatialPose().
+     */
+    mutable VROGeospatialPose _lastKnownGPSPose;
+
     bool _needsGeospatialModeApply = false;
 
     /*
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROChoreographer.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROChoreographer.h
index 22d4ba6f..b4e2d7a8 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROChoreographer.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROChoreographer.h
@@ -261,6 +261,20 @@ class VROChoreographer {
      Floating point target for initially rendering the scene.
      */
     std::shared_ptr<VRORenderTarget> _hdrTarget;
+
+    /*
+     Depth-only render target (DepthTextureRaw) used to capture the scene depth
+     after the base render pass. The depth is blitted from _hdrTarget each frame
+     and stored on VRORenderContext as the scene depth for the *next* frame.
+     Only created when HDR rendering is enabled and MRT is supported.
+     */
+    std::shared_ptr<VRORenderTarget> _sceneDepthTarget;
+
+    /*
+     The scene depth texture captured from the last completed frame. Set on
+     VRORenderContext at the start of each frame so shaders can sample it.
+     */
+    std::shared_ptr<VROTexture> _lastSceneDepthTexture;
     
     /*
      Tone mapping render pass to render the floating point scene in RGB.
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROMaterial.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROMaterial.h
index e795b81d..70fa857c 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROMaterial.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROMaterial.h
@@ -392,7 +392,9 @@ class VROMaterial : public VROAnimatable, public VROThreadRestricted {
     }
     void setShaderUniform(std::string name, std::shared_ptr<VROTexture> texture) {
         _shaderUniformTextures[name] = texture;
-        // NOTE: Do NOT call updateSubstrate() - it deletes and recreates the shader binding!
+        // Call updateSubstrateTextures() (not updateSubstrate()) to re-bind textures without
+        // destroying and recreating the shader binding.
+        updateSubstrateTextures();
     }
 
     const std::map<std::string, float> &getShaderUniformFloats() const { return _shaderUniformFloats; }
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VRORenderContext.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VRORenderContext.h
index 8c97f7e7..6964feef 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VRORenderContext.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VRORenderContext.h
@@ -208,6 +208,27 @@ class VRORenderContext {
         return _depthTexture;
     }
 
+    void setSceneDepthTexture(std::shared_ptr<VROTexture> texture) {
+        _sceneDepthTexture = texture;
+    }
+    std::shared_ptr<VROTexture> getSceneDepthTexture() const {
+        return _sceneDepthTexture;
+    }
+
+    void setCameraBackgroundTexture(std::shared_ptr<VROTexture> texture) {
+        _cameraBackgroundTexture = texture;
+    }
+    std::shared_ptr<VROTexture> getCameraBackgroundTexture() const {
+        return _cameraBackgroundTexture;
+    }
+
+    void setCameraImageTransform(VROMatrix4f transform) {
+        _cameraImageTransform = transform;
+    }
+    VROMatrix4f getCameraImageTransform() const {
+        return _cameraImageTransform;
+    }
+
     void setDepthTextureTransform(VROMatrix4f transform) {
         _depthTextureTransform = transform;
     }
@@ -223,7 +244,9 @@ class VRORenderContext {
     }
 
     bool isOcclusionEnabled() const {
-        return _occlusionMode != VROOcclusionMode::Disabled && _depthTexture != nullptr;
+        return (_occlusionMode == VROOcclusionMode::DepthBased ||
+                _occlusionMode == VROOcclusionMode::PeopleOnly)
+               && _depthTexture != nullptr;
     }
 
     void setViewport(VROViewport viewport) {
@@ -315,6 +338,25 @@ class VRORenderContext {
      */
     std::shared_ptr<VROTexture> _depthTexture;
 
+    /*
+     Scene depth texture captured from the previous frame's base render pass.
+     Null for the first frame or when HDR rendering is disabled.
+     Sampled as raw depth values (no PCF compare mode).
+     */
+    std::shared_ptr<VROTexture> _sceneDepthTexture;
+
+    /*
+     Live AR camera background texture. On Android this is GL_TEXTURE_EXTERNAL_OES;
+     on iOS it is a standard GL_TEXTURE_2D. Null when no AR session is active.
+     */
+    std::shared_ptr<VROTexture> _cameraBackgroundTexture;
+
+    /*
+     Transform mapping viewport UV coordinates to camera image UV coordinates.
+     This accounts for device orientation and camera crop/zoom.
+     */
+    VROMatrix4f _cameraImageTransform;
+
     /*
      Transform to convert from screen UV to depth texture UV.
      */
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VRORenderer.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VRORenderer.h
index 3dda1933..572d2d1f 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VRORenderer.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VRORenderer.h
@@ -256,6 +256,14 @@ class VRORenderer {
     void setOcclusionMode(VROOcclusionMode mode);
     void setDepthTexture(std::shared_ptr<VROTexture> depthTexture);
     void setDepthTextureTransform(VROMatrix4f transform);
+
+    /*
+     Set the live AR camera background texture and its viewport-to-image UV transform.
+     These are auto-bound to shader modifier samplers named 'camera_texture' and the
+     uniform 'camera_image_transform', respectively.
+     */
+    void setCameraBackgroundTexture(std::shared_ptr<VROTexture> texture);
+    void setCameraImageTransform(VROMatrix4f transform);
     
 #pragma mark - Camera
    
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROShaderModifier.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROShaderModifier.h
index 18526282..5871efb2 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROShaderModifier.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROShaderModifier.h
@@ -225,6 +225,63 @@ class VROShaderModifier {
     std::string getName() const {
         return _name;
     }
+
+    /*
+     Priority controls the injection order when multiple modifiers share the same entry
+     point. Lower values run first. Modifiers with equal priority preserve their
+     insertion order (stable sort). Suggested conventions:
+       -100  Engine internals (AR shadow, occlusion, etc.)
+          0  Default / user modifiers
+        100  Debug / overlay modifiers
+     */
+    void setPriority(int priority) {
+        _priority = priority;
+    }
+    int getPriority() const {
+        return _priority;
+    }
+
+    /*
+     When true, the modifier's GLSL code may declare and sample 'uniform sampler2D scene_depth_texture'.
+     The engine automatically binds the previous frame's scene depth to that sampler.
+     Only available when HDR rendering is enabled; the sampler returns null (skipped) otherwise.
+     This flag is informational metadata — the binding is driven by the sampler name alone.
+     */
+    void setRequiresSceneDepth(bool value) {
+        _requiresSceneDepth = value;
+    }
+    bool requiresSceneDepth() const {
+        return _requiresSceneDepth;
+    }
+
+    /*
+     When true, the modifier's GLSL code may declare and sample 'uniform sampler2D camera_texture'.
+     The engine automatically binds the live AR camera background texture to that sampler.
+     On Android (ARCore) the texture is GL_TEXTURE_EXTERNAL_OES; the engine injects the required
+     #extension and replaces 'sampler2D camera_texture' with 'samplerExternalOES camera_texture'
+     automatically, so user code can always declare 'uniform sampler2D camera_texture'.
+     A 'uniform mat4 camera_image_transform' is also auto-bound, providing the UV mapping
+     from viewport coordinates to camera image coordinates.
+     */
+    void setRequiresCameraTexture(bool value) {
+        _requiresCameraTexture = value;
+    }
+    bool requiresCameraTexture() const {
+        return _requiresCameraTexture;
+    }
+
+    /*
+     Varyings declare typed variables that are written in the vertex stage (Geometry or Vertex
+     entry point) and read in the fragment stage (Surface, LightingModel, or Fragment entry
+     point). Each string should be a GLSL type + name pair, e.g. "highp float displacement".
+     The "out" / "in" qualifiers are added automatically by VROShaderProgram.
+     */
+    void setVaryings(std::vector<std::string> varyings) {
+        _varyings = std::move(varyings);
+    }
+    const std::vector<std::string> &getVaryings() const {
+        return _varyings;
+    }
     
     /*
      Vertex attributes required by the modifier must be set. This is a bitmask of
@@ -292,6 +349,15 @@ class VROShaderModifier {
     
     int _shaderModifierId;
     std::string _name;
+    int _priority = 0;
+    bool _requiresSceneDepth = false;
+    bool _requiresCameraTexture = false;
+
+    /*
+     Typed varying declarations shared between vertex and fragment stages.
+     Each string is a GLSL type+name pair, e.g. "highp float displacement".
+     */
+    std::vector<std::string> _varyings;
     
     /*
      VROShaderMask indicating any additional vertex attributes this modifier requires. See
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROShaderProgram.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROShaderProgram.h
index 19500e77..04bf7ed0 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROShaderProgram.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROShaderProgram.h
@@ -145,6 +145,10 @@ class VROShaderProgram {
         return _samplers;
     }
 
+    const std::vector<std::string> &getModifierSamplers() const {
+        return _modifierSamplers;
+    }
+
     const std::string &getName() const {
         return _shaderName;
     }
@@ -269,6 +273,13 @@ class VROShaderProgram {
      List of the names of all samplers used by this shader.
      */
     std::vector<std::string> _samplers;
+
+    /*
+     List of sampler names declared inside shader modifiers (via "uniform sampler2D ..." in
+     modifier code). These are assigned texture units sequentially after _samplers, and the
+     corresponding textures are supplied via VROMaterial::getShaderUniformTextures().
+     */
+    std::vector<std::string> _modifierSamplers;
     
     /*
      The modifiers used on this shader.
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROTexture.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROTexture.h
index 4e0edb63..c57ba70b 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROTexture.h
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROTexture.h
@@ -272,9 +272,6 @@ class VROTexture : public std::enable_shared_from_this<VROTexture> {
     int getHeight() const {
         return _height;
     }
-    bool isSRGB() const {
-        return _sRGB;
-    }
 
 protected:
     int _width, _height;
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROViewControllerGVR.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROViewControllerGVR.h
deleted file mode 100644
index dce0f30f..00000000
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROViewControllerGVR.h
+++ /dev/null
@@ -1,41 +0,0 @@
-//
-//  VROViewControllerGVR.h
-//  ViroKit
-//
-//  Created by Raj Advani on 11/30/17.
-//  Copyright © 2017 Viro Media. All rights reserved.
-//
-//  Permission is hereby granted, free of charge, to any person obtaining
-//  a copy of this software and associated documentation files (the
-//  "Software"), to deal in the Software without restriction, including
-//  without limitation the rights to use, copy, modify, merge, publish,
-//  distribute, sublicense, and/or sell copies of the Software, and to
-//  permit persons to whom the Software is furnished to do so, subject to
-//  the following conditions:
-//
-//  The above copyright notice and this permission notice shall be included
-//  in all copies or substantial portions of the Software.
-//
-//  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-//  EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
-//  MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
-//  IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
-//  CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
-//  TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
-//  SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
-#import <UIKit/UIKit.h>
-
-class VRORendererConfiguration;
-
-@interface VROViewControllerGVR : UIViewController
-
-/*
- Set this to true to force the view into landscape mode
- when it appears.
- */
-@property (readwrite, nonatomic) BOOL forceLandscape;
-
-- (id)initWithConfig:(VRORendererConfiguration)config;
-
-@end
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROViewGVR.h b/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROViewGVR.h
deleted file mode 100644
index 5f2940c0..00000000
--- a/ios/dist/ViroRenderer/ViroKit.framework/Headers/VROViewGVR.h
+++ /dev/null
@@ -1,41 +0,0 @@
-//
-//  VROViewGVR.h
-//  ViroRenderer
-//
-//  Created by Raj Advani on 4/28/16.
-//  Copyright © 2016 Viro Media. All rights reserved.
-//
-//  Permission is hereby granted, free of charge, to any person obtaining
-//  a copy of this software and associated documentation files (the
-//  "Software"), to deal in the Software without restriction, including
-//  without limitation the rights to use, copy, modify, merge, publish,
-//  distribute, sublicense, and/or sell copies of the Software, and to
-//  permit persons to whom the Software is furnished to do so, subject to
-//  the following conditions:
-//
-//  The above copyright notice and this permission notice shall be included
-//  in all copies or substantial portions of the Software.
-//
-//  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-//  EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
-//  MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
-//  IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
-//  CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
-//  TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
-//  SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
-#import <Foundation/Foundation.h>
-#import <GLKit/GLKit.h>
-#import <UIKit/UIKit.h>
-#import "VROView.h"
-
-class VRORendererConfiguration;
-
-@interface VROViewGVR : GLKView <VROView>
-
-@property (readwrite, nonatomic) BOOL paused;
-@property (readwrite, nonatomic) IBInspectable BOOL testingMode;
-
-- (instancetype)initWithFrame:(CGRect)frame config:(VRORendererConfiguration)config;
-
-@end
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deleted file mode 100755
index e73de947..00000000
Binary files a/ios/dist/ViroRenderer/ViroKit.framework/MaterialRobotoFontLoader.bundle/Roboto-Regular.ttf and /dev/null differ
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/MaterialRobotoFontLoader.bundle/Roboto-Thin.ttf b/ios/dist/ViroRenderer/ViroKit.framework/MaterialRobotoFontLoader.bundle/Roboto-Thin.ttf
deleted file mode 100755
index be8fbf49..00000000
Binary files a/ios/dist/ViroRenderer/ViroKit.framework/MaterialRobotoFontLoader.bundle/Roboto-Thin.ttf and /dev/null differ
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/MaterialRobotoFontLoader.bundle/Roboto-ThinItalic.ttf b/ios/dist/ViroRenderer/ViroKit.framework/MaterialRobotoFontLoader.bundle/Roboto-ThinItalic.ttf
deleted file mode 100755
index f7aa4878..00000000
Binary files a/ios/dist/ViroRenderer/ViroKit.framework/MaterialRobotoFontLoader.bundle/Roboto-ThinItalic.ttf and /dev/null differ
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Shaders.dat b/ios/dist/ViroRenderer/ViroKit.framework/Shaders.dat
index d2211302..b441759e 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/Shaders.dat
+++ b/ios/dist/ViroRenderer/ViroKit.framework/Shaders.dat
@@ -1,5 +1,5 @@
 dependencies: \
   /Users/dorantes/Documents/ViroWorkspace/virocore/ViroRenderer/Shaders.metal \
-  /private/var/run/com.apple.security.cryptexd/mnt/com.apple.MobileAsset.MetalToolchain-v17.3.48.0.S3RzyU/Metal.xctoolchain/usr/metal/32023/lib/clang/32023.850/include/metal/module.modulemap \
+  /private/var/run/com.apple.security.cryptexd/mnt/com.apple.MobileAsset.MetalToolchain-v17.3.7003.10.XhrnA4/Metal.xctoolchain/usr/metal/32023/lib/clang/32023.864/include/metal/module.modulemap \
   /Users/dorantes/Documents/ViroWorkspace/virocore/ViroRenderer/VROSharedStructures.h \
   /Users/dorantes/Documents/ViroWorkspace/virocore/ViroRenderer/VRODefines.h
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/Shaders.metal b/ios/dist/ViroRenderer/ViroKit.framework/Shaders.metal
deleted file mode 100644
index 71926995..00000000
--- a/ios/dist/ViroRenderer/ViroKit.framework/Shaders.metal
+++ /dev/null
@@ -1,1327 +0,0 @@
-//
-//  Shaders.metal
-//  ViroRenderer
-//
-//  Created by Raj Advani on 10/13/15.
-//  Copyright © 2015 Raj Advani. All rights reserved.
-//
-//  Permission is hereby granted, free of charge, to any person obtaining
-//  a copy of this software and associated documentation files (the
-//  "Software"), to deal in the Software without restriction, including
-//  without limitation the rights to use, copy, modify, merge, publish,
-//  distribute, sublicense, and/or sell copies of the Software, and to
-//  permit persons to whom the Software is furnished to do so, subject to
-//  the following conditions:
-//
-//  The above copyright notice and this permission notice shall be included
-//  in all copies or substantial portions of the Software.
-//
-//  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-//  EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
-//  MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
-//  IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
-//  CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
-//  TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
-//  SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
-#include <simd/simd.h>
-#include "VROSharedStructures.h"
-
-#include "VRODefines.h"
-#if VRO_METAL
-
-using namespace metal;
-
-struct VROCustomUniforms {
-#pragma custom_uniforms
-};
-
-constexpr sampler s(coord::normalized,
-                    address::repeat,
-                    filter::linear,
-                    mip_filter::linear);
-
-/* ---------------------------------------
-   GEOMETRY ATTRIBUTES
- --------------------------------------- */
-
-typedef struct {
-    float3 position       [[ attribute(0) ]];
-    float3 normal         [[ attribute(1) ]];
-    float4 color          [[ attribute(2) ]];
-    float2 texcoord       [[ attribute(3) ]];
-} VRORendererAttributes;
-
-/* ---------------------------------------
-   MODIFIER STRUCTURES
-   --------------------------------------- */
-
-struct VROShaderGeometry {
-    float3 position;
-    float3 normal;
-    float2 texcoord;
-    float4 tangent;
-    float4 bone_weights;
-    int4   bone_indices;
-};
-
-struct VROShaderVertex {
-    float4 position;
-};
-
-struct VROTransforms {
-    float4x4 model_matrix;
-    float4x4 view_matrix;
-    float4x4 projection_matrix;
-};
-
-struct VROSurface {
-    float4 diffuse_color;
-    float2 diffuse_texcoord;
-    float  diffuse_intensity;
-    float  shininess;
-    float3 specular_color;
-    float  roughness;
-    float  metalness;
-    float  ao;
-    float  alpha;
-    float3 normal;
-    float3 position;
-    float3 view;
-};
-
-/* ---------------------------------------
-   SHARED LIGHTING FUNCTIONS
- --------------------------------------- */
-
-float compute_attenuation(constant VROLightUniforms &light,
-                          float3 surface_pos,
-                          thread float3 *surface_to_light);
-
-float compute_attenuation(constant VROLightUniforms &light,
-                          float3 surface_pos,
-                          thread float3 *surface_to_light) {
-    
-    float attenuation = 1.0;
-    
-    // Directional light
-    if (light.type == 1) {
-        *surface_to_light = normalize(light.direction);
-        attenuation = 1.0;
-    }
-    
-    // Omni + Spot lights
-    else {
-        *surface_to_light = -normalize(light.position.xyz - surface_pos);
-        float distance_to_light = length(light.position.xyz - surface_pos);
-        float d = clamp((distance_to_light - light.attenuation_start_distance) /
-                        (light.attenuation_end_distance - light.attenuation_start_distance),
-                        0.0, 1.0);
-        
-        attenuation = 1.0 - pow(d, 1.0 / light.attenuation_falloff_exp);
-        
-        // Spot light
-        if (light.type == 3) {
-            float light_surface_angle = acos(dot(*surface_to_light, normalize(light.direction)));
-            if (light_surface_angle > light.spot_inner_angle) {
-                float t = (light_surface_angle - light.spot_inner_angle) / light.spot_outer_angle;
-                attenuation = clamp(mix(attenuation, 0.0, t), 0.0, 1.0);
-            }
-        }
-    }
-    
-    return attenuation;
-}
-
-float4 compute_reflection(float3 surface_position, float3 camera_position, float3 normal,
-                          texturecube<float> reflect_texture);
-float4 compute_reflection(float3 surface_position, float3 camera_position, float3 normal,
-                          texturecube<float> reflect_texture) {
-    
-    float3 surface_to_camera = normalize(surface_position - camera_position);
-    float3 reflect_ray = reflect(surface_to_camera, -normal);
-    
-    return reflect_texture.sample(s, float3(reflect_ray.xy, -reflect_ray.z));
-}
-
-/* ---------------------------------------
-   CONSTANT LIGHTING MODEL
-   --------------------------------------- */
-
-typedef struct {
-    float4 position [[ position ]];
-    float4 color;
-    float2 texcoord;
-
-    float3 surface_position;
-    float3 camera_position;
-
-    float3 ambient_color;
-    float4 material_color;
-    float  diffuse_intensity;
-    float  material_alpha;
-} VROConstantLightingVertexOut;
-
-vertex VROConstantLightingVertexOut constant_lighting_vertex(VRORendererAttributes attributes [[ stage_in ]],
-                                                             constant VROViewUniforms &view [[ buffer(1) ]],
-                                                             constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                                             constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                                             constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma geometry_modifier_uniforms
-#pragma vertex_modifier_uniforms
-
-    VROConstantLightingVertexOut out;
-
-    VROShaderGeometry _geometry;
-    _geometry.position = attributes.position;
-    _geometry.normal = attributes.normal;
-    _geometry.texcoord = attributes.texcoord;
-
-    VROTransforms _transforms;
-    _transforms.model_matrix = view.model_matrix;
-    _transforms.view_matrix = view.view_matrix;
-    _transforms.projection_matrix = view.projection_matrix;
-
-#pragma geometry_modifier_body
-
-    float3 v_position = (_transforms.model_matrix * float4(_geometry.position, 1.0)).xyz;
-    float4 in_position = float4(_geometry.position, 1.0);
-    
-    VROShaderVertex _vertex;
-    _vertex.position = view.modelview_projection_matrix * in_position;
-
-#pragma vertex_modifier_body
-
-    out.position = _vertex.position;
-    out.texcoord = _geometry.texcoord;
-    out.ambient_color = lighting.ambient_light_color;
-    out.material_color = material.diffuse_surface_color;
-    out.diffuse_intensity = material.diffuse_intensity;
-    out.material_alpha = material.alpha;
-    out.surface_position = v_position;
-    out.camera_position = view.camera_position;
-
-    return out;
-}
-
-fragment float4 constant_lighting_fragment_c(VROConstantLightingVertexOut in [[ stage_in ]],
-                                             constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                             constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                             constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    VROSurface _surface;
-    _surface.diffuse_color = in.material_color;
-    _surface.specular_color = float4(0, 0, 0, 0);
-    _surface.shininess = material.shininess;
-    _surface.roughness = material.roughness;
-    _surface.metalness = material.metalness;
-    _surface.ao = material.ao;
-    _surface.normal = float3(0, 0, 1);
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.diffuse_texcoord = float2(0, 0);
-    _surface.specular_texcoord = float2(0, 0);
-    _surface.alpha = in.material_alpha;
-    
-#pragma surface_modifier_body
-
-    float4 _output_color = float4(_surface.diffuse_color.xyz * lighting.ambient_light_color + _surface.diffuse_color.xyz * in.diffuse_intensity,
-                                  _surface.alpha * _surface.diffuse_color.a);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-fragment float4 constant_lighting_fragment_t(VROConstantLightingVertexOut in [[ stage_in ]],
-                                             texture2d<float> texture [[ texture(0) ]],
-                                             constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                             constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                             constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    float4 diffuse_texture_color = texture.sample(s, in.texcoord);
-
-    VROSurface _surface;
-    _surface.diffuse_color = diffuse_texture_color;
-    _surface.specular_color = float4(0, 0, 0, 0);
-    _surface.shininess = material.shininess;
-    _surface.normal = float3(0, 0, 1);
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha;
-
-#pragma surface_modifier_body
-
-    float4 _output_color = float4(_surface.diffuse_color.xyz * lighting.ambient_light_color + _surface.diffuse_color.xyz * in.diffuse_intensity,
-                                  _surface.alpha * _surface.diffuse_color.a);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-fragment float4 constant_lighting_fragment_q(VROConstantLightingVertexOut in [[ stage_in ]],
-                                             texturecube<float> texture [[ texture(0) ]],
-                                             constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                             constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                             constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    float3 texcoord = float3(in.surface_position.x, in.surface_position.y, -in.surface_position.z);
-    float4 texture_color = texture.sample(s, texcoord);
-
-    VROSurface _surface;
-    _surface.diffuse_color = in.material_color * texture_color;
-    _surface.specular_color = float4(0, 0, 0, 0);
-    _surface.shininess = material.shininess;
-    _surface.normal = float3(0, 0, 1);
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha;
-
-#pragma surface_modifier_body
-
-    float4 _output_color = float4(_surface.diffuse_color.xyz * lighting.ambient_light_color + _surface.diffuse_color.xyz * in.diffuse_intensity, _surface.alpha);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-/* ---------------------------------------
- LAMBERT LIGHTING MODEL
- --------------------------------------- */
-
-typedef struct {
-    float4 position [[ position ]];
-    float3 normal;
-    float4 color;
-    float2 texcoord;
-    
-    float3 surface_position;
-    float3 camera_position;
-    
-    float3 ambient_color;
-    float4 material_color;
-    float  diffuse_intensity;
-    float  material_alpha;
-} VROLambertLightingVertexOut;
-
-vertex VROLambertLightingVertexOut lambert_lighting_vertex(VRORendererAttributes attributes [[ stage_in ]],
-                                                           constant VROViewUniforms &view [[ buffer(1) ]],
-                                                           constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                                           constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                                           constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma geometry_modifier_uniforms
-#pragma vertex_modifier_uniforms
-
-    VROLambertLightingVertexOut out;
-
-    VROShaderGeometry _geometry;
-    _geometry.position = attributes.position;
-    _geometry.normal = attributes.normal;
-    _geometry.texcoord = attributes.texcoord;
-    _geometry.color = attributes.color;
-
-    VROTransforms _transforms;
-    _transforms.model_matrix = view.model_matrix;
-    _transforms.view_matrix = view.view_matrix;
-    _transforms.projection_matrix = view.projection_matrix;
-    _transforms.normal_matrix = view.normal_matrix;
-    _transforms.modelview_matrix = view.modelview_matrix;
-
-#pragma geometry_modifier_body
-
-    float3 v_position = (_transforms.model_matrix * float4(_geometry.position, 1.0)).xyz;
-    float4 in_position = float4(_geometry.position, 1.0);
-    
-    VROShaderVertex _vertex;
-    _vertex.position = view.modelview_projection_matrix * in_position;
-
-#pragma vertex_modifier_body
-    
-    out.position = _vertex.position;
-    out.texcoord = _geometry.texcoord;
-    out.color = _geometry.color;
-    
-    out.surface_position = v_position;
-    out.camera_position  = view.camera_position;
-    out.normal = normalize((_transforms.normal_matrix * float4(_geometry.normal, 0.0)).xyz);
-    
-    out.ambient_color = lighting.ambient_light_color;
-    out.material_color = material.diffuse_surface_color;
-    out.diffuse_intensity = material.diffuse_intensity;
-    out.material_alpha = material.alpha;
-    
-    return out;
-}
-
-float3 apply_light_lambert(constant VROLightUniforms &light,
-                           float3 surface_pos,
-                           float3 surface_normal,
-                           float4 material_color);
-float3 apply_light_lambert(constant VROLightUniforms &light,
-                           float3 surface_pos,
-                           float3 surface_normal,
-                           float4 material_color) {
-    
-    thread float3 surface_to_light;
-    float attenuation = compute_attenuation(light, surface_pos, &surface_to_light);
-    
-    float diffuse_coeff = fmax(0.0, dot(-surface_normal, surface_to_light));
-    return attenuation * diffuse_coeff * material_color.rgb * light.color;
-}
-
-float4 lambert_lighting_diffuse_fixed(VROLambertLightingVertexOut in,
-                                      constant VROSceneLightingUniforms &lighting);
-float4 lambert_lighting_diffuse_fixed(VROLambertLightingVertexOut in,
-                                      constant VROSceneLightingUniforms &lighting) {
-    float3 ambient_light_color = in.ambient_color * in.material_color.xyz;
-    float4 material_diffuse_color = in.material_color * in.diffuse_intensity;
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_lambert(lighting.lights[i],
-                                                      in.surface_position,
-                                                      in.normal,
-                                                      material_diffuse_color);
-    }
-    
-    return float4(ambient_light_color + diffuse_light_color,
-                  in.material_alpha * in.material_color.a);
-}
-
-float4 lambert_lighting_diffuse_texture(VROLambertLightingVertexOut in,
-                                        texture2d<float> texture,
-                                        constant VROSceneLightingUniforms &lighting);
-float4 lambert_lighting_diffuse_texture(VROLambertLightingVertexOut in,
-                                        texture2d<float> texture,
-                                        constant VROSceneLightingUniforms &lighting) {
-    
-    float4 diffuse_texture_color = texture.sample(s, in.texcoord);
-    float3 ambient_light_color = in.ambient_color * diffuse_texture_color.xyz;
-    
-    float4 material_diffuse_color = diffuse_texture_color * in.diffuse_intensity;
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_lambert(lighting.lights[i],
-                                                      in.surface_position,
-                                                      in.normal,
-                                                      material_diffuse_color);
-    }
-    
-    return float4(ambient_light_color + diffuse_light_color,
-                  in.material_alpha * diffuse_texture_color.a);
-}
-
-fragment float4 lambert_lighting_fragment_c(VROLambertLightingVertexOut in [[ stage_in ]],
-                                            constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                            constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                            constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    VROSurface _surface;
-    _surface.diffuse_color = in.material_color;
-    _surface.specular_color = float4(0, 0, 0, 0);
-    _surface.shininess = 0;
-    _surface.normal = in.normal;
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha * in.material_color.a;
-
-#pragma surface_modifier_body
-
-    float3 ambient_light_color = in.ambient_color * _surface.diffuse_color.xyz;
-    float4 material_diffuse_color = _surface.diffuse_color * in.diffuse_intensity;
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_lambert(lighting.lights[i],
-                                                      in.surface_position,
-                                                      _surface.normal,
-                                                      material_diffuse_color);
-    }
-    
-    float4 _output_color = float4(ambient_light_color + diffuse_light_color, _surface.alpha);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-fragment float4 lambert_lighting_fragment_c_reflect(VROLambertLightingVertexOut in [[ stage_in ]],
-                                                    texturecube<float> reflect_texture [[ texture(0) ]],
-                                                    constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                                    constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                                    constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    VROSurface _surface;
-    _surface.diffuse_color = in.material_color;
-    _surface.specular_color = float4(0, 0, 0, 0);
-    _surface.shininess = material.shininess;
-    _surface.normal = in.normal;
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha * in.material_color.a;
-
-#pragma surface_modifier_body
-
-    float4 reflective_color = compute_reflection(in.surface_position, in.camera_position, _surface.normal, reflect_texture);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_lambert(lighting.lights[i],
-                                                      in.surface_position,
-                                                      _surface.normal,
-                                                      _surface.diffuse_color.xyz,
-                                                      in.diffuse_intensity);
-    }
-    float4 lighting_color = float4(in.ambient_color * _surface.diffuse_color.xyz + diffuse_light_color, _surface.alpha);
-    
-    float4 _output_color = float4(lighting_color.xyz + reflective_color.xyz, lighting_color.a);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-fragment float4 lambert_lighting_fragment_t(VROLambertLightingVertexOut in [[ stage_in ]],
-                                            texture2d<float> texture [[ texture(0) ]],
-                                            constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                            constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                            constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    float4 diffuse_texture_color = texture.sample(s, in.texcoord);
-
-    VROSurface _surface;
-    _surface.diffuse_color = diffuse_texture_color * in.material_color;
-    _surface.specular_color = float4(0, 0, 0, 0);
-    _surface.shininess = 0;
-    _surface.normal = in.normal;
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha * diffuse_texture_color.a * in.material_color.a;
-
-#pragma surface_modifier_body
-
-    float3 ambient_light_color = in.ambient_color * _surface.diffuse_color.xyz;
-    float4 material_diffuse_color = _surface.diffuse_color * in.diffuse_intensity;
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_lambert(lighting.lights[i],
-                                                      in.surface_position,
-                                                      _surface.normal,
-                                                      material_diffuse_color);
-    }
-    
-    float4 _output_color = float4(ambient_light_color + diffuse_light_color, _surface.alpha);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-fragment float4 lambert_lighting_fragment_t_reflect(VROLambertLightingVertexOut in [[ stage_in ]],
-                                                    texture2d<float> texture [[ texture(0) ]],
-                                                    texturecube<float> reflect_texture [[ texture(1) ]],
-                                                    constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                                    constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                                    constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    float4 diffuse_texture_color = texture.sample(s, in.texcoord);
-
-    VROSurface _surface;
-    _surface.diffuse_color = diffuse_texture_color * in.material_color;
-    _surface.specular_color = float4(0, 0, 0, 0);
-    _surface.shininess = material.shininess;
-    _surface.normal = in.normal;
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha * diffuse_texture_color.a * in.material_color.a;
-
-#pragma surface_modifier_body
-
-    float4 reflective_color = compute_reflection(in.surface_position, in.camera_position, _surface.normal, reflect_texture);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_lambert(lighting.lights[i],
-                                                      in.surface_position,
-                                                      _surface.normal,
-                                                      _surface.diffuse_color.xyz,
-                                                      in.diffuse_intensity);
-    }
-    float4 lighting_color = float4(in.ambient_color * _surface.diffuse_color.xyz + diffuse_light_color, _surface.alpha);
-    
-    float4 _output_color = float4(lighting_color.xyz + reflective_color.xyz, lighting_color.a);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-/* ---------------------------------------
-   PHONG LIGHTING MODEL
-   --------------------------------------- */
-
-typedef struct {
-    float4 position [[ position ]];
-    float3 normal;
-    float4 color;
-    float2 texcoord;
-    
-    float3 surface_position;
-    float3 camera_position;
-    
-    float3 ambient_color;
-    float4 material_color;
-    float  material_shininess;
-    float  diffuse_intensity;
-    float  material_alpha;
-} VROPhongLightingVertexOut;
-
-vertex VROPhongLightingVertexOut phong_lighting_vertex(VRORendererAttributes attributes [[ stage_in ]],
-                                                       constant VROViewUniforms &view [[ buffer(1) ]],
-                                                       constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                                       constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                                       constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma geometry_modifier_uniforms
-#pragma vertex_modifier_uniforms
-
-    VROPhongLightingVertexOut out;
-
-    VROShaderGeometry _geometry;
-    _geometry.position = attributes.position;
-    _geometry.normal = attributes.normal;
-    _geometry.texcoord = attributes.texcoord;
-    _geometry.color = attributes.color;
-
-    VROTransforms _transforms;
-    _transforms.model_matrix = view.model_matrix;
-    _transforms.view_matrix = view.view_matrix;
-    _transforms.projection_matrix = view.projection_matrix;
-    _transforms.normal_matrix = view.normal_matrix;
-    _transforms.modelview_matrix = view.modelview_matrix;
-
-#pragma geometry_modifier_body
-
-    float3 v_position = (_transforms.model_matrix * float4(_geometry.position, 1.0)).xyz;
-    float4 in_position = float4(_geometry.position, 1.0);
-    
-    VROShaderVertex _vertex;
-    _vertex.position = view.modelview_projection_matrix * in_position;
-
-#pragma vertex_modifier_body
-    
-    out.position = _vertex.position;
-    out.texcoord = _geometry.texcoord;
-    out.color = _geometry.color;
-    
-    out.surface_position = v_position;
-    out.camera_position  = view.camera_position;
-    out.normal = normalize((_transforms.normal_matrix * float4(_geometry.normal, 0.0)).xyz);
-    
-    out.ambient_color = lighting.ambient_light_color;
-    out.material_color = material.diffuse_surface_color;
-    out.material_shininess = material.shininess;
-    out.diffuse_intensity = material.diffuse_intensity;
-    out.material_alpha = material.alpha;
-    
-    return out;
-}
-
-float3 apply_light_phong(constant VROLightUniforms &light,
-                         float3 surface_pos,
-                         float3 surface_normal,
-                         float3 surface_to_camera,
-                         float4 material_diffuse_color,
-                         float4 material_specular_color,
-                         float  material_shininess);
-float3 apply_light_phong(constant VROLightUniforms &light,
-                         float3 surface_pos,
-                         float3 surface_normal,
-                         float3 surface_to_camera,
-                         float4 material_diffuse_color,
-                         float4 material_specular_color,
-                         float  material_shininess) {
-    
-    thread float3 surface_to_light;
-    float attenuation = compute_attenuation(light, surface_pos, &surface_to_light);
-    
-    // Diffuse
-    float diffuse_coeff = fmax(0.0, dot(-surface_normal, surface_to_light));
-    float3 diffuse = diffuse_coeff * material_diffuse_color.rgb * light.color;
-    
-    // Specular
-    float specular_coeff = 0.0;
-    if (diffuse_coeff > 0.0) {
-        specular_coeff = pow(max(0.0, dot(surface_to_camera,
-                                          reflect(surface_to_light, -surface_normal))),
-                             material_shininess);
-    }
-
-    float3 specular = specular_coeff * material_specular_color.rgb * light.color;
-    return attenuation * (diffuse + specular);
-}
-
-float4 phong_lighting_diffuse_fixed(VROPhongLightingVertexOut in [[ stage_in ]],
-                                    texture2d<float> specular_texture [[ texture(0) ]],
-                                    constant VROSceneLightingUniforms &lighting [[ buffer(0) ]]);
-float4 phong_lighting_diffuse_fixed(VROPhongLightingVertexOut in [[ stage_in ]],
-                                    texture2d<float> specular_texture [[ texture(0) ]],
-                                    constant VROSceneLightingUniforms &lighting [[ buffer(0) ]]) {
-    
-    float3 ambient_light_color = in.ambient_color * in.material_color.xyz;
-
-    float4 material_diffuse_color = in.material_color * in.diffuse_intensity;
-    float4 material_specular_color = specular_texture.sample(s, in.texcoord);
-    float3 surface_to_camera = normalize(in.camera_position - in.surface_position);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_phong(lighting.lights[i],
-                                                    in.surface_position,
-                                                    in.normal,
-                                                    surface_to_camera,
-                                                    material_diffuse_color,
-                                                    material_specular_color,
-                                                    in.material_shininess);
-    }
-    
-    return float4(ambient_light_color + diffuse_light_color,
-                  in.material_alpha * in.material_color.a);
-}
-
-float4 phong_lighting_diffuse_texture(VROPhongLightingVertexOut in [[ stage_in ]],
-                                      texture2d<float> diffuse_texture [[ texture(0) ]],
-                                      texture2d<float> specular_texture [[ texture(1) ]],
-                                      constant VROSceneLightingUniforms &lighting [[ buffer(0) ]]);
-float4 phong_lighting_diffuse_texture(VROPhongLightingVertexOut in [[ stage_in ]],
-                                      texture2d<float> diffuse_texture [[ texture(0) ]],
-                                      texture2d<float> specular_texture [[ texture(1) ]],
-                                      constant VROSceneLightingUniforms &lighting [[ buffer(0) ]]) {
-    
-    float4 diffuse_texture_color = diffuse_texture.sample(s, in.texcoord);
-    float3 ambient_light_color = in.ambient_color * diffuse_texture_color.xyz;
-    
-    float4 material_diffuse_color  = diffuse_texture_color * in.diffuse_intensity;
-    float4 material_specular_color = specular_texture.sample(s, in.texcoord);
-    float3 surface_to_camera = normalize(in.camera_position - in.surface_position);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_phong(lighting.lights[i],
-                                                    in.surface_position,
-                                                    in.normal,
-                                                    surface_to_camera,
-                                                    material_diffuse_color,
-                                                    material_specular_color,
-                                                    in.material_shininess);
-    }
-    
-    return float4(ambient_light_color + diffuse_light_color,
-                  in.material_alpha * diffuse_texture_color.a);
-}
-
-fragment float4 phong_lighting_fragment_c(VROPhongLightingVertexOut in [[ stage_in ]],
-                                          texture2d<float> specular_texture [[ texture(0) ]],
-                                          constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                          constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                          constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    VROSurface _surface;
-    _surface.diffuse_color = in.material_color;
-    _surface.specular_color = specular_texture.sample(s, in.texcoord);
-    _surface.shininess = material.shininess;
-    _surface.normal = in.normal;
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha * in.material_color.a;
-
-#pragma surface_modifier_body
-
-    float3 ambient_light_color = in.ambient_color * _surface.diffuse_color.xyz;
-    float4 material_diffuse_color = _surface.diffuse_color * in.diffuse_intensity;
-    float3 surface_to_camera = normalize(in.camera_position - in.surface_position);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_phong(lighting.lights[i],
-                                                    in.surface_position,
-                                                    _surface.normal,
-                                                    surface_to_camera,
-                                                    material_diffuse_color,
-                                                    _surface.specular_color,
-                                                    _surface.shininess);
-    }
-    
-    float4 _output_color = float4(ambient_light_color + diffuse_light_color, _surface.alpha);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-fragment float4 phong_lighting_fragment_c_reflect(VROPhongLightingVertexOut in [[ stage_in ]],
-                                                  texture2d<float> specular_texture [[ texture(0) ]],
-                                                  texturecube<float> reflect_texture [[ texture(1) ]],
-                                                  constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                                  constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                                  constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    VROSurface _surface;
-    _surface.diffuse_color = in.material_color;
-    _surface.specular_color = specular_texture.sample(s, in.texcoord);
-    _surface.shininess = material.shininess;
-    _surface.normal = in.normal;
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha * in.material_color.a;
-
-#pragma surface_modifier_body
-
-    float4 reflective_color = compute_reflection(in.surface_position, in.camera_position, _surface.normal, reflect_texture);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    float3 surface_to_camera = normalize(in.camera_position - in.surface_position);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_phong(lighting.lights[i],
-                                                    in.surface_position,
-                                                    _surface.normal,
-                                                    surface_to_camera,
-                                                    _surface.diffuse_color.xyz,
-                                                    _surface.specular_color,
-                                                    _surface.shininess);
-    }
-    float4 lighting_color = float4(in.ambient_color * _surface.diffuse_color.xyz + diffuse_light_color, _surface.alpha);
-    
-    float4 _output_color = float4(lighting_color.xyz + reflective_color.xyz, lighting_color.a);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-fragment float4 phong_lighting_fragment_t(VROPhongLightingVertexOut in [[ stage_in ]],
-                                          texture2d<float> diffuse_texture [[ texture(0) ]],
-                                          texture2d<float> specular_texture [[ texture(1) ]],
-                                          constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                          constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                          constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    float4 diffuse_texture_color = diffuse_texture.sample(s, in.texcoord);
-
-    VROSurface _surface;
-    _surface.diffuse_color = diffuse_texture_color * in.material_color;
-    _surface.specular_color = specular_texture.sample(s, in.texcoord);
-    _surface.shininess = material.shininess;
-    _surface.normal = in.normal;
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha * diffuse_texture_color.a * in.material_color.a;
-
-#pragma surface_modifier_body
-
-    float3 ambient_light_color = in.ambient_color * _surface.diffuse_color.xyz;
-    float4 material_diffuse_color = _surface.diffuse_color * in.diffuse_intensity;
-    float3 surface_to_camera = normalize(in.camera_position - in.surface_position);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_phong(lighting.lights[i],
-                                                    in.surface_position,
-                                                    _surface.normal,
-                                                    surface_to_camera,
-                                                    material_diffuse_color,
-                                                    _surface.specular_color,
-                                                    _surface.shininess);
-    }
-    
-    float4 _output_color = float4(ambient_light_color + diffuse_light_color, _surface.alpha);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-fragment float4 phong_lighting_fragment_t_reflect(VROPhongLightingVertexOut in [[ stage_in ]],
-                                          texture2d<float> diffuse_texture [[ texture(0) ]],
-                                          texture2d<float> specular_texture [[ texture(1) ]],
-                                          texturecube<float> reflect_texture [[ texture(2) ]],
-                                                  constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                                  constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                                  constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    float4 diffuse_texture_color = diffuse_texture.sample(s, in.texcoord);
-
-    VROSurface _surface;
-    _surface.diffuse_color = diffuse_texture_color * in.material_color;
-    _surface.specular_color = specular_texture.sample(s, in.texcoord);
-    _surface.shininess = material.shininess;
-    _surface.normal = in.normal;
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha * diffuse_texture_color.a * in.material_color.a;
-
-#pragma surface_modifier_body
-
-    float4 reflective_color = compute_reflection(in.surface_position, in.camera_position, _surface.normal, reflect_texture);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    float3 surface_to_camera = normalize(in.camera_position - in.surface_position);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_phong(lighting.lights[i],
-                                                    in.surface_position,
-                                                    _surface.normal,
-                                                    surface_to_camera,
-                                                    _surface.diffuse_color.xyz,
-                                                    _surface.specular_color,
-                                                    _surface.shininess);
-    }
-    float4 lighting_color = float4(in.ambient_color * _surface.diffuse_color.xyz + diffuse_light_color, _surface.alpha);
-    
-    float4 _output_color = float4(lighting_color.xyz + reflective_color.xyz, lighting_color.a);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-   --------------------------------------- */
-
-typedef struct {
-    float4 position [[ position ]];
-    float3 normal;
-    float4 color;
-    float2 texcoord;
-    
-    float3 surface_position;
-    float3 camera_position;
-    
-    float3 ambient_color;
-    float4 material_color;
-    float  material_shininess;
-    float  diffuse_intensity;
-    float  material_alpha;
-} VROBlinnLightingVertexOut;
-
-vertex VROBlinnLightingVertexOut blinn_lighting_vertex(VRORendererAttributes attributes [[ stage_in ]],
-                                                       constant VROViewUniforms &view [[ buffer(1) ]],
-                                                       constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                                       constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                                       constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma geometry_modifier_uniforms
-#pragma vertex_modifier_uniforms
-
-    VROBlinnLightingVertexOut out;
-
-    VROShaderGeometry _geometry;
-    _geometry.position = attributes.position;
-    _geometry.normal = attributes.normal;
-    _geometry.texcoord = attributes.texcoord;
-    _geometry.color = attributes.color;
-
-    VROTransforms _transforms;
-    _transforms.model_matrix = view.model_matrix;
-    _transforms.view_matrix = view.view_matrix;
-    _transforms.projection_matrix = view.projection_matrix;
-    _transforms.normal_matrix = view.normal_matrix;
-    _transforms.modelview_matrix = view.modelview_matrix;
-
-#pragma geometry_modifier_body
-
-    float3 v_position = (_transforms.model_matrix * float4(_geometry.position, 1.0)).xyz;
-    float4 in_position = float4(_geometry.position, 1.0);
-    
-    VROShaderVertex _vertex;
-    _vertex.position = view.modelview_projection_matrix * in_position;
-
-#pragma vertex_modifier_body
-    
-    out.position = _vertex.position;
-    out.texcoord = _geometry.texcoord;
-    out.color = _geometry.color;
-    
-    out.surface_position = v_position;
-    out.camera_position  = view.camera_position;
-    out.normal = normalize((_transforms.normal_matrix * float4(_geometry.normal, 0.0)).xyz);
-    
-    out.ambient_color = lighting.ambient_light_color;
-    out.material_color = material.diffuse_surface_color;
-    out.material_shininess = material.shininess;
-    out.diffuse_intensity = material.diffuse_intensity;
-    out.material_alpha = material.alpha;
-    
-    return out;
-}
-
-float3 apply_light_blinn(constant VROLightUniforms &light,
-                         float3 surface_pos,
-                         float3 surface_normal,
-                         float3 surface_to_camera,
-                         float4 material_diffuse_color,
-                         float4 material_specular_color,
-                         float  material_shininess);
-float3 apply_light_blinn(constant VROLightUniforms &light,
-                         float3 surface_pos,
-                         float3 surface_normal,
-                         float3 surface_to_camera,
-                         float4 material_diffuse_color,
-                         float4 material_specular_color,
-                         float  material_shininess) {
-    
-    thread float3 surface_to_light;
-    float attenuation = compute_attenuation(light, surface_pos, &surface_to_light);
-    
-    // Diffuse
-    float diffuse_coeff = fmax(0.0, dot(-surface_normal, surface_to_light));
-    float3 diffuse = diffuse_coeff * material_diffuse_color.rgb * light.color;
-    
-    // Specular
-    float specular_coeff = 0.0;
-    if (diffuse_coeff > 0.0) {
-        specular_coeff = pow(max(0.0, dot(normalize(-surface_to_camera + surface_to_light),
-                                          -surface_normal)),
-                             material_shininess);
-    }
-    
-    float3 specular = specular_coeff * material_specular_color.rgb * light.color;
-    return attenuation * (diffuse + specular);
-}
-
-float4 blinn_lighting_diffuse_fixed(VROBlinnLightingVertexOut in,
-                                    texture2d<float> specular_texture,
-                                    constant VROSceneLightingUniforms &lighting);
-float4 blinn_lighting_diffuse_fixed(VROBlinnLightingVertexOut in,
-                                    texture2d<float> specular_texture,
-                                    constant VROSceneLightingUniforms &lighting) {
-    
-    float3 ambient_light_color = in.ambient_color * in.material_color.xyz;
-
-    float4 material_diffuse_color = in.material_color * in.diffuse_intensity;
-    float4 material_specular_color = specular_texture.sample(s, in.texcoord);
-    float3 surface_to_camera = normalize(in.camera_position - in.surface_position);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_blinn(lighting.lights[i],
-                                                    in.surface_position,
-                                                    in.normal,
-                                                    surface_to_camera,
-                                                    material_diffuse_color,
-                                                    material_specular_color,
-                                                    in.material_shininess);
-    }
-    
-    return float4(ambient_light_color + diffuse_light_color,
-                  in.material_alpha * in.material_color.a);
-}
-
-float4 blinn_lighting_diffuse_texture(VROBlinnLightingVertexOut in,
-                                      texture2d<float> diffuse_texture,
-                                      texture2d<float> specular_texture,
-                                      constant VROSceneLightingUniforms &lighting);
-float4 blinn_lighting_diffuse_texture(VROBlinnLightingVertexOut in,
-                                      texture2d<float> diffuse_texture,
-                                      texture2d<float> specular_texture,
-                                      constant VROSceneLightingUniforms &lighting) {
-    
-    float4 diffuse_texture_color = diffuse_texture.sample(s, in.texcoord);
-    float3 ambient_light_color = in.ambient_color * diffuse_texture_color.xyz;
-    
-    float4 material_diffuse_color  = diffuse_texture_color * in.diffuse_intensity;
-    float4 material_specular_color = specular_texture.sample(s, in.texcoord);
-    float3 surface_to_camera = normalize(in.camera_position - in.surface_position);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_blinn(lighting.lights[i],
-                                                    in.surface_position,
-                                                    in.normal,
-                                                    surface_to_camera,
-                                                    material_diffuse_color,
-                                                    material_specular_color,
-                                                    in.material_shininess);
-    }
-    
-    return float4(ambient_light_color + diffuse_light_color,
-                  in.material_alpha * diffuse_texture_color.a);
-}
-
-fragment float4 blinn_lighting_fragment_c(VROBlinnLightingVertexOut in [[ stage_in ]],
-                                          texture2d<float> specular_texture [[ texture(0) ]],
-                                          constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                          constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                          constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    VROSurface _surface;
-    _surface.diffuse_color = in.material_color;
-    _surface.specular_color = specular_texture.sample(s, in.texcoord);
-    _surface.shininess = material.shininess;
-    _surface.normal = in.normal;
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha * in.material_color.a;
-
-#pragma surface_modifier_body
-
-    float3 ambient_light_color = in.ambient_color * _surface.diffuse_color.xyz;
-    float4 material_diffuse_color = _surface.diffuse_color * in.diffuse_intensity;
-    float3 surface_to_camera = normalize(in.camera_position - in.surface_position);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_blinn(lighting.lights[i],
-                                                    in.surface_position,
-                                                    _surface.normal,
-                                                    surface_to_camera,
-                                                    material_diffuse_color,
-                                                    _surface.specular_color,
-                                                    _surface.shininess);
-    }
-    
-    float4 _output_color = float4(ambient_light_color + diffuse_light_color, _surface.alpha);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-fragment float4 blinn_lighting_fragment_c_reflect(VROBlinnLightingVertexOut in [[ stage_in ]],
-                                                  texture2d<float> specular_texture [[ texture(0) ]],
-                                                  texturecube<float> reflect_texture [[ texture(1) ]],
-                                                  constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                                  constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                                  constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    VROSurface _surface;
-    _surface.diffuse_color = in.material_color;
-    _surface.specular_color = specular_texture.sample(s, in.texcoord);
-    _surface.shininess = material.shininess;
-    _surface.normal = in.normal;
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha * in.material_color.a;
-
-#pragma surface_modifier_body
-
-    float4 reflective_color = compute_reflection(in.surface_position, in.camera_position, _surface.normal, reflect_texture);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    float3 surface_to_camera = normalize(in.camera_position - in.surface_position);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_blinn(lighting.lights[i],
-                                                    in.surface_position,
-                                                    _surface.normal,
-                                                    surface_to_camera,
-                                                    _surface.diffuse_color.xyz,
-                                                    _surface.specular_color,
-                                                    _surface.shininess);
-    }
-    float4 lighting_color = float4(in.ambient_color * _surface.diffuse_color.xyz + diffuse_light_color, _surface.alpha);
-    
-    float4 _output_color = float4(lighting_color.xyz + reflective_color.xyz, lighting_color.a);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-fragment float4 blinn_lighting_fragment_t(VROBlinnLightingVertexOut in [[ stage_in ]],
-                                          texture2d<float> diffuse_texture [[ texture(0) ]],
-                                          texture2d<float> specular_texture [[ texture(1) ]],
-                                          constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                          constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                          constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    float4 diffuse_texture_color = diffuse_texture.sample(s, in.texcoord);
-
-    VROSurface _surface;
-    _surface.diffuse_color = diffuse_texture_color * in.material_color;
-    _surface.specular_color = specular_texture.sample(s, in.texcoord);
-    _surface.shininess = material.shininess;
-    _surface.normal = in.normal;
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha * diffuse_texture_color.a * in.material_color.a;
-
-#pragma surface_modifier_body
-
-    float3 ambient_light_color = in.ambient_color * _surface.diffuse_color.xyz;
-    float4 material_diffuse_color = _surface.diffuse_color * in.diffuse_intensity;
-    float3 surface_to_camera = normalize(in.camera_position - in.surface_position);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_blinn(lighting.lights[i],
-                                                    in.surface_position,
-                                                    _surface.normal,
-                                                    surface_to_camera,
-                                                    material_diffuse_color,
-                                                    _surface.specular_color,
-                                                    _surface.shininess);
-    }
-    
-    float4 _output_color = float4(ambient_light_color + diffuse_light_color, _surface.alpha);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-fragment float4 blinn_lighting_fragment_t_reflect(VROBlinnLightingVertexOut in [[ stage_in ]],
-                                                  texture2d<float> diffuse_texture [[ texture(0) ]],
-                                                  texture2d<float> specular_texture [[ texture(1) ]],
-                                                  texturecube<float> reflect_texture [[ texture(2) ]],
-                                                  constant VROMaterialUniforms &material [[ buffer(2) ]],
-                                                  constant VROCustomUniforms &_custom [[ buffer(3) ]],
-                                                  constant VROSceneLightingUniforms &lighting [[ buffer(4) ]]) {
-    
-#pragma surface_modifier_uniforms
-#pragma fragment_modifier_uniforms
-
-    float4 diffuse_texture_color = diffuse_texture.sample(s, in.texcoord);
-
-    VROSurface _surface;
-    _surface.diffuse_color = diffuse_texture_color * in.material_color;
-    _surface.specular_color = specular_texture.sample(s, in.texcoord);
-    _surface.shininess = material.shininess;
-    _surface.normal = in.normal;
-    _surface.position = in.surface_position;
-    _surface.view = normalize(in.camera_position - in.surface_position);
-    _surface.alpha = in.material_alpha * diffuse_texture_color.a * in.material_color.a;
-
-#pragma surface_modifier_body
-
-    float4 reflective_color = compute_reflection(in.surface_position, in.camera_position, _surface.normal, reflect_texture);
-    
-    float3 diffuse_light_color = float3(0, 0, 0);
-    float3 surface_to_camera = normalize(in.camera_position - in.surface_position);
-    for (int i = 0; i < lighting.num_lights; i++) {
-        diffuse_light_color += apply_light_blinn(lighting.lights[i],
-                                                    in.surface_position,
-                                                    _surface.normal,
-                                                    surface_to_camera,
-                                                    _surface.diffuse_color.xyz,
-                                                    _surface.specular_color,
-                                                    _surface.shininess);
-    }
-    float4 lighting_color = float4(in.ambient_color * _surface.diffuse_color.xyz + diffuse_light_color, _surface.alpha);
-    
-    float4 _output_color = float4(lighting_color.xyz + reflective_color.xyz, lighting_color.a);
-
-#pragma fragment_modifier_body
-
-    return _output_color;
-}
-
-/* ---------------------------------------
-   DISTORTION SHADERS
-   --------------------------------------- */
-
-typedef struct {
-    float2 position       [[ attribute(0) ]];
-    float  vignette       [[ attribute(1) ]];
-    float2 red_texcoord   [[ attribute(2) ]];
-    float2 green_texcoord [[ attribute(3) ]];
-    float2 blue_texcoord  [[ attribute(4) ]];
-} VRODistortionAttributes;
-
-typedef struct {
-    float4 position [[ position ]];
-    float2 texcoord;
-    float  vignette;
-} VRODistortionVertexOut;
-
-vertex VRODistortionVertexOut distortion_vertex(VRODistortionAttributes attributes [[ stage_in ]],
-                                                constant VRODistortionUniforms &uniforms [[ buffer(1) ]]) {
-    
-    VRODistortionVertexOut out;
-    out.position = float4(attributes.position, 0.0, 1.0);
-    out.texcoord = attributes.blue_texcoord.xy * uniforms.texcoord_scale;
-    out.vignette = attributes.vignette;
-    
-    return out;
-}
-
-fragment float4 distortion_fragment(VRODistortionVertexOut in [[ stage_in ]],
-                                    texture2d<float> texture [[ texture(0) ]]) {
-    
-    return in.vignette * texture.sample(s, in.texcoord);
-}
-
-typedef struct {
-    float4 position [[ position ]];
-    float2 red_texcoord;
-    float2 blue_texcoord;
-    float2 green_texcoord;
-    float  vignette;
-} VRODistortionAberrationVertexOut;
-
-vertex VRODistortionAberrationVertexOut distortion_aberration_vertex(VRODistortionAttributes attributes [[ stage_in ]],
-                                                                     constant VRODistortionUniforms &uniforms [[ buffer(1) ]]) {
-    
-    VRODistortionAberrationVertexOut out;
-    out.position = float4(attributes.position, 0.0, 1.0);
-    out.red_texcoord = attributes.red_texcoord.xy * uniforms.texcoord_scale;
-    out.green_texcoord = attributes.green_texcoord.xy * uniforms.texcoord_scale;
-    out.blue_texcoord = attributes.blue_texcoord.xy * uniforms.texcoord_scale;
-    out.vignette = attributes.vignette;
-    
-    return out;
-}
-
-fragment float4 distortion_aberration_fragment(VRODistortionAberrationVertexOut in [[ stage_in ]],
-                                               texture2d<float> texture [[ texture(0) ]]) {
-    
-    return in.vignette * float4(texture.sample(s, in.red_texcoord).r,
-                                texture.sample(s, in.green_texcoord).g,
-                                texture.sample(s, in.blue_texcoord).b,
-                                1.0);
-}
-
-#endif
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/VROPolygon.h b/ios/dist/ViroRenderer/ViroKit.framework/VROPolygon.h
deleted file mode 100644
index c01ad2de..00000000
--- a/ios/dist/ViroRenderer/ViroKit.framework/VROPolygon.h
+++ /dev/null
@@ -1,93 +0,0 @@
-//
-//  VROPolygon.h
-//  ViroRenderer
-//
-//  Copyright © 2018 Viro Media. All rights reserved.
-//
-//  Permission is hereby granted, free of charge, to any person obtaining
-//  a copy of this software and associated documentation files (the
-//  "Software"), to deal in the Software without restriction, including
-//  without limitation the rights to use, copy, modify, merge, publish,
-//  distribute, sublicense, and/or sell copies of the Software, and to
-//  permit persons to whom the Software is furnished to do so, subject to
-//  the following conditions:
-//
-//  The above copyright notice and this permission notice shall be included
-//  in all copies or substantial portions of the Software.
-//
-//  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-//  EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
-//  MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
-//  IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
-//  CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
-//  TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
-//  SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-
-#ifndef VROPolygon_h
-#define VROPolygon_h
-
-#include "VROGeometry.h"
-#include "VROShapeUtils.h"
-#include "VROByteBuffer.h"
-#include <memory>
-
-namespace p2t {
-    class Point;
-}
-
-/*
- A geometric representation of a flat Polygon, constructed with N vertices that describes its shape.
- */
-class VROPolygon : public VROGeometry {
-public:
-    static std::shared_ptr<VROPolygon> createPolygon(std::vector<VROVector3f> path,
-                                                     float u0 = 0, float v0 = 0, float u1 = 1, float v1 = 1);
-    static std::shared_ptr<VROPolygon> createPolygon(std::vector<VROVector3f> path,
-                                                     std::vector<std::vector<VROVector3f>> holes,
-                                                     float u0 = 0, float v0 = 0, float u1 = 1, float v1 = 1);
-    virtual ~VROPolygon();
-
-protected:
-    
-    VROPolygon(std::vector<VROVector3f> path, std::vector<std::vector<VROVector3f>> holes,
-               float u0, float v0, float u1, float v1);
-
-private:
-    
-    /*
-     A vector of 3D coordinates representing the perimeter of this polygon shape, in local
-     model space.
-     */
-    std::vector<VROVector3f> _path;
-    std::vector<std::vector<VROVector3f>> _holes;
-
-    /*
-     The min and max horizontal and vertical values of this polygon shape, in local
-     model space.
-     */
-    float _minX, _maxX, _minY, _maxY;
-
-    /*
-     Texture coordinates with which to use as UV edges for bounded materials.
-     */
-    float _u0, _v0, _u1, _v1;
-
-    /*
-     Rebuilds the sources and elements for this geometric shape with the latest set of
-     boundary vertices.
-     */
-    void updateSurface();
-    void buildGeometry(std::vector<std::shared_ptr<VROGeometrySource>> &sources,
-                       std::vector<std::shared_ptr<VROGeometryElement>> &elements);
-    std::shared_ptr<VROGeometryElement> buildElement(size_t numCorners);
-    void writePolygonCorner(p2t::Point *position, VROByteBuffer &buffer);
-
-    /*
-     Poly2Tri only processes paths with non repeating points, otherwise it would crash
-     the application. Thus, removeDuplicateVertices() is used to sanitize and remove
-     duplicated vertices for a given path.
-     */
-    void removeDuplicateVertices(std::vector<VROVector3f> &path);
-};
-
-#endif /* VROPolygon_h */
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/ViroKit b/ios/dist/ViroRenderer/ViroKit.framework/ViroKit
index e4b6f185..199a04dc 100755
Binary files a/ios/dist/ViroRenderer/ViroKit.framework/ViroKit and b/ios/dist/ViroRenderer/ViroKit.framework/ViroKit differ
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/_CodeSignature/CodeResources b/ios/dist/ViroRenderer/ViroKit.framework/_CodeSignature/CodeResources
deleted file mode 100644
index 06c3395f..00000000
--- a/ios/dist/ViroRenderer/ViroKit.framework/_CodeSignature/CodeResources
+++ /dev/null
@@ -1,15231 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-	<key>files</key>
-	<dict>
-		<key>CardboardSDK.bundle/Info.plist</key>
-		<data>
-		7IAIK8tPbyUbblavMdwkgwa4oeY=
-		</data>
-		<key>CardboardSDK.bundle/ar.lproj/CardboardSDK.strings</key>
-		<dict>
-			<key>hash</key>
-			<data>
-			iI/v50w5rlwo/eLeBZqMKwnRk0M=
-			</data>
-			<key>optional</key>
-			<true/>
-		</dict>
-		<key>CardboardSDK.bundle/arrowRight.png</key>
-		<data>
-		DHtbTaoGw+L0h7aoEC15TIepH/A=
-		</data>
-		<key>CardboardSDK.bundle/ca.lproj/CardboardSDK.strings</key>
-		<dict>
-			<key>hash</key>
-			<data>
-			vGEqM6koBhFkcgN17Jeiqjjn+nI=
-			</data>
-			<key>optional</key>
-			<true/>
-		</dict>
-		<key>CardboardSDK.bundle/cardboardLogotype.png</key>
-		<data>
-		SxKNfyHZddkajL2wJuhGQ74dXIE=
-		</data>
-		<key>CardboardSDK.bundle/continueButton.png</key>
-		<data>
-		6/FygOhoBqJp5xevLWaYHxSn8Ik=
-		</data>
-		<key>CardboardSDK.bundle/cs.lproj/CardboardSDK.strings</key>
-		<dict>
-			<key>hash</key>
-			<data>
-			sl7aydrqOi7ae6jKKGDOW/gw9yM=
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-			<key>optional</key>
-			<true/>
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-		<key>CardboardSDK.bundle/da.lproj/CardboardSDK.strings</key>
-		<dict>
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-		<key>CardboardSDK.bundle/de.lproj/CardboardSDK.strings</key>
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-			<key>optional</key>
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-		<key>CardboardSDK.bundle/el.lproj/CardboardSDK.strings</key>
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-		<key>CardboardSDK.bundle/en.lproj/CardboardSDK.strings</key>
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-		<key>CardboardSDK.bundle/en_AU.lproj/CardboardSDK.strings</key>
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-			<data>
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-		<key>CardboardSDK.bundle/en_GB.lproj/CardboardSDK.strings</key>
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-			<data>
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-			<key>optional</key>
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-		<key>CardboardSDK.bundle/en_IN.lproj/CardboardSDK.strings</key>
-		<dict>
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-			<key>optional</key>
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-		<key>CardboardSDK.bundle/es.lproj/CardboardSDK.strings</key>
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-			<key>optional</key>
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-		<key>CardboardSDK.bundle/es_MX.lproj/CardboardSDK.strings</key>
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-		<key>CardboardSDK.bundle/gearButton.png</key>
-		<data>
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-		<key>^PkgInfo$</key>
-		<dict>
-			<key>omit</key>
-			<true/>
-			<key>weight</key>
-			<real>20</real>
-		</dict>
-		<key>^embedded\.provisionprofile$</key>
-		<dict>
-			<key>weight</key>
-			<real>20</real>
-		</dict>
-		<key>^version\.plist$</key>
-		<dict>
-			<key>weight</key>
-			<real>20</real>
-		</dict>
-	</dict>
-</dict>
-</plist>
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/constant_fsh.glsl b/ios/dist/ViroRenderer/ViroKit.framework/constant_fsh.glsl
index 8922674c..0eb63f26 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/constant_fsh.glsl
+++ b/ios/dist/ViroRenderer/ViroKit.framework/constant_fsh.glsl
@@ -14,6 +14,7 @@ flat in int v_instance_id;
 in lowp mat3 v_tbn;
 in highp vec2 v_texcoord;
 in highp vec3 v_surface_position;
+#pragma varying_in_declarations
 
 layout (location = 0) out highp vec4 frag_color;
 
@@ -30,7 +31,6 @@ void main() {
 
     highp vec4 _output_color = vec4(_surface.diffuse_color.xyz * _surface.diffuse_intensity, _surface.alpha * _surface.diffuse_color.a);
 
-    // Alpha masking: discard fragments below the cutoff threshold
     if (material_alpha_cutoff > 0.0 && _output_color.a < material_alpha_cutoff) {
         discard;
     }
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/constant_fsh_adreno.glsl b/ios/dist/ViroRenderer/ViroKit.framework/constant_fsh_adreno.glsl
index 6cde539f..a812656a 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/constant_fsh_adreno.glsl
+++ b/ios/dist/ViroRenderer/ViroKit.framework/constant_fsh_adreno.glsl
@@ -13,6 +13,7 @@ flat in int v_instance_id;
 in lowp mat3 v_tbn;
 in highp vec2 v_texcoord;
 in highp vec3 v_surface_position;
+#pragma varying_in_declarations
 
 layout (location = 0) out highp vec4 frag_color;
 
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/constant_q_fsh.glsl b/ios/dist/ViroRenderer/ViroKit.framework/constant_q_fsh.glsl
index afeb5e86..acf81f9f 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/constant_q_fsh.glsl
+++ b/ios/dist/ViroRenderer/ViroKit.framework/constant_q_fsh.glsl
@@ -14,6 +14,7 @@ uniform samplerCube diffuse_texture;
 in lowp mat3 v_tbn;
 in highp vec2 v_texcoord;
 in highp vec3 v_surface_position;
+#pragma varying_in_declarations
 
 layout (location = 0) out highp vec4 frag_color;
 
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/constant_q_fsh_adreno.glsl b/ios/dist/ViroRenderer/ViroKit.framework/constant_q_fsh_adreno.glsl
index a07019ef..4363c237 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/constant_q_fsh_adreno.glsl
+++ b/ios/dist/ViroRenderer/ViroKit.framework/constant_q_fsh_adreno.glsl
@@ -14,6 +14,7 @@ uniform samplerCube diffuse_texture;
 in lowp mat3 v_tbn;
 in highp vec2 v_texcoord;
 in highp vec3 v_surface_position;
+#pragma varying_in_declarations
 
 layout (location = 0) out highp vec4 frag_color;
 
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/standard_fsh.glsl b/ios/dist/ViroRenderer/ViroKit.framework/standard_fsh.glsl
index d31dc673..ae27c0de 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/standard_fsh.glsl
+++ b/ios/dist/ViroRenderer/ViroKit.framework/standard_fsh.glsl
@@ -6,13 +6,13 @@ uniform highp vec3 camera_position;
 uniform highp vec4 material_diffuse_surface_color;
 uniform highp float material_diffuse_intensity;
 uniform lowp float material_alpha;
-uniform lowp float material_alpha_cutoff;
 uniform lowp float material_shininess;
 uniform highp float material_roughness;
 uniform highp float material_roughness_intensity;
 uniform highp float material_metalness;
 uniform highp float material_metalness_intensity;
 uniform highp float material_ao;
+uniform lowp float material_alpha_cutoff;
 uniform highp vec3 material_emissive_color;
 
 #pragma surface_modifier_uniforms
@@ -22,6 +22,7 @@ uniform highp vec3 material_emissive_color;
 in lowp mat3 v_tbn;
 in highp vec2 v_texcoord;
 in highp vec3 v_surface_position;
+#pragma varying_in_declarations
 
 layout (location = 0) out highp vec4 frag_color;
 
@@ -69,7 +70,6 @@ void main() {
                                     material_emissive_color,
                                     _surface.alpha * _surface.diffuse_color.a);
 
-    // Alpha masking: discard fragments below the cutoff threshold
     if (material_alpha_cutoff > 0.0 && _output_color.a < material_alpha_cutoff) {
         discard;
     }
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/standard_vsh.glsl b/ios/dist/ViroRenderer/ViroKit.framework/standard_vsh.glsl
index 22eeda64..8f272c69 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/standard_vsh.glsl
+++ b/ios/dist/ViroRenderer/ViroKit.framework/standard_vsh.glsl
@@ -54,6 +54,7 @@ out mat3 v_tbn;
 out vec2 v_texcoord;
 out vec3 v_surface_position;
 flat out int v_instance_id;
+#pragma varying_out_declarations
 
 void main() {
 #inject vertex_assignments
diff --git a/ios/dist/ViroRenderer/ViroKit.framework/standard_vsh_adreno.glsl b/ios/dist/ViroRenderer/ViroKit.framework/standard_vsh_adreno.glsl
index 9f67cfbf..97beb0ca 100644
--- a/ios/dist/ViroRenderer/ViroKit.framework/standard_vsh_adreno.glsl
+++ b/ios/dist/ViroRenderer/ViroKit.framework/standard_vsh_adreno.glsl
@@ -47,6 +47,7 @@ out mat3 v_tbn;
 out vec2 v_texcoord;
 out vec3 v_surface_position;
 flat out int v_instance_id;
+#pragma varying_out_declarations
 
 void main() {
     _geometry_position = position;
diff --git a/ios/dist/armv7_arm64/libViroReact.a b/ios/dist/armv7_arm64/libViroReact.a
deleted file mode 100644
index 5f34409b..00000000
Binary files a/ios/dist/armv7_arm64/libViroReact.a and /dev/null differ
diff --git a/ios/dist/include/VRTARSceneNavigator.h b/ios/dist/include/VRTARSceneNavigator.h
index 18846081..5676975b 100644
--- a/ios/dist/include/VRTARSceneNavigator.h
+++ b/ios/dist/include/VRTARSceneNavigator.h
@@ -48,6 +48,7 @@
 @property (nonatomic, readwrite) BOOL shadowsEnabled;
 @property (nonatomic, readwrite) BOOL multisamplingEnabled;
 @property (nonatomic, copy) NSString *occlusionMode;
+@property (nonatomic, assign) BOOL depthEnabled;
 @property (nonatomic, assign) BOOL depthDebugEnabled;
 @property (nonatomic, copy) NSString *cloudAnchorProvider;
 @property (nonatomic, copy) NSString *geospatialAnchorProvider;
@@ -150,6 +151,81 @@ typedef void (^GeospatialAnchorCompletionHandler)(BOOL success,
 
 - (void)removeGeospatialAnchor:(NSString *)anchorId;
 
+// ReactVision-specific: save GPS anchor to backend (returns platform UUID), no local AR anchor
+- (void)hostGeospatialAnchor:(double)latitude
+                   longitude:(double)longitude
+                    altitude:(double)altitude
+               altitudeMode:(NSString *)altitudeMode
+           completionHandler:(void (^)(BOOL success, NSString * _Nullable platformUuid, NSString * _Nullable error))completionHandler;
+
+// ReactVision-specific: fetch GPS coords from backend by UUID + create local AR anchor
+- (void)resolveGeospatialAnchor:(NSString *)platformUuid
+                      quaternion:(id)quaternion
+              completionHandler:(GeospatialAnchorCompletionHandler)completionHandler;
+
+// ReactVision Geospatial CRUD
+- (void)rvGetGeospatialAnchor:(NSString *)anchorId
+            completionHandler:(void (^)(BOOL success, NSDictionary *anchorData, NSString *error))completionHandler;
+- (void)rvFindNearbyGeospatialAnchors:(double)latitude
+                            longitude:(double)longitude
+                               radius:(double)radius
+                                limit:(int)limit
+                    completionHandler:(void (^)(BOOL success, NSArray *anchors, NSString *error))completionHandler;
+- (void)rvUpdateGeospatialAnchor:(NSString *)anchorId
+                    sceneAssetId:(NSString *)sceneAssetId
+                         sceneId:(NSString *)sceneId
+                            name:(NSString *)name
+                     userAssetId:(NSString *)userAssetId
+               completionHandler:(void (^)(BOOL success, NSDictionary *anchorData, NSString *error))completionHandler;
+- (void)rvUploadAsset:(NSString *)filePath
+            assetType:(NSString *)assetType
+             fileName:(NSString *)fileName
+           appUserId:(NSString *)appUserId
+    completionHandler:(void (^)(BOOL success, NSString *userAssetId, NSString *fileUrl, NSString *error))completionHandler;
+- (void)rvDeleteGeospatialAnchor:(NSString *)anchorId
+               completionHandler:(void (^)(BOOL success, NSString *error))completionHandler;
+- (void)rvListGeospatialAnchors:(int)limit
+                         offset:(int)offset
+              completionHandler:(void (^)(BOOL success, NSArray *anchors, NSString *error))completionHandler;
+
+// Cloud anchor management
+- (void)rvGetCloudAnchor:(NSString *)anchorId
+       completionHandler:(void (^)(BOOL success, NSDictionary *anchorData, NSString *error))completionHandler;
+- (void)rvListCloudAnchors:(int)limit
+                    offset:(int)offset
+         completionHandler:(void (^)(BOOL success, NSArray *anchors, NSString *error))completionHandler;
+- (void)rvUpdateCloudAnchor:(NSString *)anchorId
+                       name:(NSString *)name
+                description:(NSString *)description
+                   isPublic:(BOOL)isPublic
+          completionHandler:(void (^)(BOOL success, NSDictionary *anchorData, NSString *error))completionHandler;
+- (void)rvDeleteCloudAnchor:(NSString *)anchorId
+          completionHandler:(void (^)(BOOL success, NSString *error))completionHandler;
+- (void)rvFindNearbyCloudAnchors:(double)latitude
+                       longitude:(double)longitude
+                          radius:(double)radius
+                           limit:(int)limit
+               completionHandler:(void (^)(BOOL success, NSArray *anchors, NSString *error))completionHandler;
+- (void)rvAttachAssetToCloudAnchor:(NSString *)anchorId
+                           fileUrl:(NSString *)fileUrl
+                          fileSize:(int64_t)fileSize
+                              name:(NSString *)name
+                         assetType:(NSString *)assetType
+                    externalUserId:(NSString *)externalUserId
+                 completionHandler:(void (^)(BOOL success, NSString *error))completionHandler;
+- (void)rvRemoveAssetFromCloudAnchor:(NSString *)anchorId
+                             assetId:(NSString *)assetId
+                   completionHandler:(void (^)(BOOL success, NSString *error))completionHandler;
+- (void)rvTrackCloudAnchorResolution:(NSString *)anchorId
+                             success:(BOOL)success
+                          confidence:(double)confidence
+                          matchCount:(int)matchCount
+                         inlierCount:(int)inlierCount
+                    processingTimeMs:(int)processingTimeMs
+                            platform:(NSString *)platform
+                      externalUserId:(NSString *)externalUserId
+                   completionHandler:(void (^)(BOOL success, NSString *error))completionHandler;
+
 #pragma mark - Scene Semantics API Methods
 
 // Check if Scene Semantics mode is supported on this device
diff --git a/ios/dist/lib/libViroReact.a b/ios/dist/lib/libViroReact.a
index 5f34409b..9fc9ba2e 100644
Binary files a/ios/dist/lib/libViroReact.a and b/ios/dist/lib/libViroReact.a differ
diff --git a/package.json b/package.json
index 30697900..847199b5 100644
--- a/package.json
+++ b/package.json
@@ -3,7 +3,7 @@
   "main": "dist/index.js",
   "module": "dist/index.js",
   "types": "dist/index.d.ts",
-  "version": "2.52.1",
+  "version": "2.53.0",
   "license": "MIT",
   "publishConfig": {
     "registry": "https://registry.npmjs.org/"
diff --git a/plugins/withViro.ts b/plugins/withViro.ts
index bab9729a..4feca369 100644
--- a/plugins/withViro.ts
+++ b/plugins/withViro.ts
@@ -11,18 +11,17 @@ const LOCATION_USAGE = "Allow $(PRODUCT_NAME) to use your location for AR experi
 export type XrMode = "GVR" | "AR" | "OVR_MOBILE";
 
 /**
- * Cloud Anchors provider type.
- * - "none": Cloud Anchors disabled
- * - "arcore": Use ARCore Cloud Anchors (works on both iOS and Android)
+ * Anchor provider type.
+ * - "none": Disabled
+ * - "arcore": Use ARCore Cloud Anchors / Geospatial API
+ * - "reactvision": Use ReactVision backend (requires libreactvisioncca)
  */
-export type CloudAnchorProvider = "none" | "arcore";
+export type Provider = "none" | "arcore" | "reactvision";
 
-/**
- * Geospatial Anchor provider type.
- * - "none": Geospatial API disabled
- * - "arcore": Use ARCore Geospatial API (works on both iOS and Android)
- */
-export type GeospatialAnchorProvider = "none" | "arcore";
+/** @deprecated Use Provider */
+export type CloudAnchorProvider = Provider;
+/** @deprecated Use Provider */
+export type GeospatialAnchorProvider = Provider;
 
 /**
  * iOS framework linkage type.
@@ -40,15 +39,15 @@ export interface ViroConfigurationOptions {
    * When set to "dynamic", uses dynamic frameworks which is required for ARCore SDK.
    * When set to "static", uses static frameworks for smaller binary size.
    *
-   * Note: If using cloudAnchorProvider or geospatialAnchorProvider with "arcore",
-   * this will be automatically set to "dynamic" regardless of the configured value.
+   * Note: If using provider: "arcore", this will be automatically set to "dynamic".
    *
    * DEFAULTS TO: undefined (uses project default, typically static)
    */
   iosLinkage?: IosLinkage;
+
   /**
    * Google Cloud API key for ARCore Cloud Anchors and Geospatial API.
-   * Required if using cloudAnchorProvider: "arcore" or geospatialAnchorProvider: "arcore"
+   * Required if using provider: "arcore".
    *
    * Get your API key from Google Cloud Console:
    * https://console.cloud.google.com/apis/credentials
@@ -58,19 +57,42 @@ export interface ViroConfigurationOptions {
   googleCloudApiKey?: string;
 
   /**
-   * Cloud Anchors provider for cross-platform anchor sharing.
-   * When set to "arcore", enables ARCore Cloud Anchors on both iOS and Android.
+   * ReactVision API key for ReactVision Cloud Anchors and Geospatial API.
+   * Required if using provider: "reactvision" (the default).
    *
-   * DEFAULTS TO: "none"
+   * Written to AndroidManifest as com.reactvision.RVApiKey and to Info.plist as RVApiKey.
    */
-  cloudAnchorProvider?: CloudAnchorProvider;
+  rvApiKey?: string;
+
+  /**
+   * ReactVision Project ID for ReactVision Cloud Anchors and Geospatial API.
+   * Required if using provider: "reactvision" (the default).
+   *
+   * Written to AndroidManifest as com.reactvision.RVProjectId and to Info.plist as RVProjectId.
+   */
+  rvProjectId?: string;
 
   /**
-   * Geospatial Anchor provider for location-based AR.
-   * When set to "arcore", enables ARCore Geospatial API on both iOS and Android.
-   * Requires googleCloudApiKey to be set.
+   * Anchor provider for both cloud anchors and geospatial anchors.
+   * Replaces the deprecated cloudAnchorProvider + geospatialAnchorProvider props.
    *
-   * DEFAULTS TO: "none"
+   * - "reactvision": Use ReactVision backend (requires rvApiKey + rvProjectId)
+   * - "arcore": Use ARCore Cloud Anchors / Geospatial API (requires googleCloudApiKey)
+   * - "none": Disable both
+   *
+   * DEFAULTS TO: "reactvision"
+   */
+  provider?: Provider;
+
+  /**
+   * @deprecated Use provider instead.
+   * Cloud Anchors provider. Overrides provider for cloud anchors only if set.
+   */
+  cloudAnchorProvider?: CloudAnchorProvider;
+
+  /**
+   * @deprecated Use provider instead.
+   * Geospatial Anchor provider. Overrides provider for geospatial only if set.
    */
   geospatialAnchorProvider?: GeospatialAnchorProvider;
 
@@ -108,12 +130,12 @@ export interface ViroConfigurationOptions {
     /**
      * Whether to include ARCore SDK pods.
      * When true, adds ARCore/CloudAnchors, ARCore/Geospatial, and ARCore/Semantics pods.
-     * This is automatically set to true when using cloudAnchorProvider or geospatialAnchorProvider with "arcore".
+     * This is automatically set to true when using provider: "arcore".
      *
      * ViroKit is built with weak linking, so ARCore pods are optional.
      * Without ARCore pods, cloud anchors, geospatial, and semantics features will be disabled at runtime.
      *
-     * DEFAULTS TO: false (unless cloudAnchorProvider or geospatialAnchorProvider is "arcore")
+     * DEFAULTS TO: false (unless provider is "arcore")
      */
     includeARCore?: boolean;
   };
diff --git a/plugins/withViroAndroid.ts b/plugins/withViroAndroid.ts
index f53f6cd1..20c51dc3 100644
--- a/plugins/withViroAndroid.ts
+++ b/plugins/withViroAndroid.ts
@@ -261,6 +261,15 @@ const withViroManifest = (config: ExpoConfig) =>
 
       if (Array.isArray(viroPlugin) && viroPlugin.length > 1) {
         const pluginOptions = viroPlugin[1] as ViroConfigurationOptions;
+
+        // Resolve unified provider prop; old geospatialAnchorProvider overrides for backward compat.
+        // Default to "reactvision" only when rvApiKey is present (implies RV intent) but provider
+        // is not explicitly set — avoids injecting location permissions for apps with no credentials.
+        const legacyOpts = pluginOptions as { geospatialAnchorProvider?: string };
+        const geospatialAnchorProvider = legacyOpts.geospatialAnchorProvider
+          ?? pluginOptions.provider
+          ?? (pluginOptions.rvApiKey ? "reactvision" : undefined);
+
         if (pluginOptions.googleCloudApiKey) {
           contents?.manifest?.application?.[0]["meta-data"]?.push({
             $: {
@@ -269,6 +278,38 @@ const withViroManifest = (config: ExpoConfig) =>
             },
           });
         }
+        if (pluginOptions.rvApiKey) {
+          contents?.manifest?.application?.[0]["meta-data"]?.push({
+            $: {
+              "android:name": "com.reactvision.RVApiKey",
+              "android:value": pluginOptions.rvApiKey,
+            },
+          });
+        }
+        if (pluginOptions.rvProjectId) {
+          contents?.manifest?.application?.[0]["meta-data"]?.push({
+            $: {
+              "android:name": "com.reactvision.RVProjectId",
+              "android:value": pluginOptions.rvProjectId,
+            },
+          });
+        }
+
+        // Add location permissions when geospatial provider is active
+        if (geospatialAnchorProvider === "arcore" || geospatialAnchorProvider === "reactvision") {
+          const existingPermissions: string[] = (contents.manifest["uses-permission"] || [])
+            .map((p: any) => p.$?.["android:name"]);
+          if (!existingPermissions.includes("android.permission.ACCESS_FINE_LOCATION")) {
+            contents.manifest["uses-permission"].push({
+              $: { "android:name": "android.permission.ACCESS_FINE_LOCATION" },
+            });
+          }
+          if (!existingPermissions.includes("android.permission.ACCESS_COARSE_LOCATION")) {
+            contents.manifest["uses-permission"].push({
+              $: { "android:name": "android.permission.ACCESS_COARSE_LOCATION" },
+            });
+          }
+        }
       }
 
       if (
diff --git a/plugins/withViroIos.ts b/plugins/withViroIos.ts
index f391b8b9..630b1a51 100644
--- a/plugins/withViroIos.ts
+++ b/plugins/withViroIos.ts
@@ -30,8 +30,12 @@ const withViroPods = (config: ExpoConfig) => {
         );
         if (Array.isArray(pluginConfig) && pluginConfig.length > 1) {
           const options = pluginConfig[1] as ViroConfigurationOptions;
-          cloudAnchorProvider = options.cloudAnchorProvider;
-          geospatialAnchorProvider = options.geospatialAnchorProvider;
+          // Resolve unified provider prop; old props override for backward compat.
+          // Default to "reactvision" only when rvApiKey is present (implies RV intent).
+          const defaultProvider = options.rvApiKey ? "reactvision" : undefined;
+          const legacyOpts = options as { cloudAnchorProvider?: string; geospatialAnchorProvider?: string };
+          cloudAnchorProvider = legacyOpts.cloudAnchorProvider ?? options.provider ?? defaultProvider;
+          geospatialAnchorProvider = legacyOpts.geospatialAnchorProvider ?? options.provider ?? defaultProvider;
           iosLinkage = options.iosLinkage;
           includeARCore = options.ios?.includeARCore;
         }
@@ -214,6 +218,8 @@ export const withDefaultInfoPlist: ConfigPlugin<ViroConfigurationOptions> = (
   let microphoneUsagePermission = DEFAULTS.ios.microphoneUsagePermission;
   let locationUsagePermission = DEFAULTS.ios.locationUsagePermission;
   let googleCloudApiKey: string | undefined;
+  let rvApiKey: string | undefined;
+  let rvProjectId: string | undefined;
   let cloudAnchorProvider: string | undefined;
   let geospatialAnchorProvider: string | undefined;
   let includeARCore: boolean | undefined;
@@ -235,8 +241,14 @@ export const withDefaultInfoPlist: ConfigPlugin<ViroConfigurationOptions> = (
       locationUsagePermission =
         pluginOptions.ios?.locationUsagePermission || locationUsagePermission;
       googleCloudApiKey = pluginOptions.googleCloudApiKey;
-      cloudAnchorProvider = pluginOptions.cloudAnchorProvider;
-      geospatialAnchorProvider = pluginOptions.geospatialAnchorProvider;
+      rvApiKey = pluginOptions.rvApiKey;
+      rvProjectId = pluginOptions.rvProjectId;
+      // Resolve unified provider prop; old props override for backward compat.
+      // Default to "reactvision" only when rvApiKey is present (implies RV intent).
+      const defaultProvider2 = pluginOptions.rvApiKey ? "reactvision" : undefined;
+      const legacyOpts2 = pluginOptions as { cloudAnchorProvider?: string; geospatialAnchorProvider?: string };
+      cloudAnchorProvider = legacyOpts2.cloudAnchorProvider ?? pluginOptions.provider ?? defaultProvider2;
+      geospatialAnchorProvider = legacyOpts2.geospatialAnchorProvider ?? pluginOptions.provider ?? defaultProvider2;
       includeARCore = pluginOptions.ios?.includeARCore;
     }
   }
@@ -259,8 +271,16 @@ export const withDefaultInfoPlist: ConfigPlugin<ViroConfigurationOptions> = (
     config.ios.infoPlist.GARAPIKey = googleCloudApiKey;
   }
 
+  // Add ReactVision credentials for ReactVision Cloud Anchors and Geospatial API (iOS)
+  if (rvApiKey) {
+    config.ios.infoPlist.RVApiKey = rvApiKey;
+  }
+  if (rvProjectId) {
+    config.ios.infoPlist.RVProjectId = rvProjectId;
+  }
+
   // Add location permissions for Geospatial API
-  if (geospatialAnchorProvider === "arcore" || includeARCore === true) {
+  if (geospatialAnchorProvider === "arcore" || geospatialAnchorProvider === "reactvision" || includeARCore === true) {
     config.ios.infoPlist.NSLocationWhenInUseUsageDescription =
       config.ios.infoPlist.NSLocationWhenInUseUsageDescription || locationUsagePermission;
     config.ios.infoPlist.NSLocationAlwaysAndWhenInUseUsageDescription =