diff --git a/xrspatial/geotiff/tests/test_golden_corpus_vrt_1930.py b/xrspatial/geotiff/tests/test_golden_corpus_vrt_1930.py
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+"""VRT backend cells against the golden-corpus oracle (issue #1930).
+
+Phase 3 PR 6 of the corpus plan. The VRT path in ``xrspatial.geotiff``
+is reached when ``open_geotiff`` sees a ``.vrt`` source path; it
+delegates to ``read_vrt`` which parses the GDAL VRT XML and stitches
+the listed source GeoTIFFs back into a single DataArray.
+
+This module synthesises a two-source horizontal mosaic from one corpus
+fixture: the source ``.tif`` is rasterio-copied twice into a temp
+directory with the second copy's origin shifted east by one image
+width, then ``write_vrt`` builds the VRT XML, and ``open_geotiff``
+reads it back. The oracle reads the same VRT through rasterio so any
+divergence is in xrspatial's VRT plumbing, not in the mosaic geometry.
+
+A separate cell uses the COG fixture as the source. Its transform is
+the manifest default (``[0.001, 0, -120, 0, -0.001, 45]``); the
+right-half copy is shifted by ``+pixel_width * width`` so the two
+copies do not overlap, which is what ``write_vrt`` expects for a clean
+mosaic. The expected mosaic has shape ``(H, 2 * W)``.
+
+VRT-specific gaps -- if any surface -- go in ``_VRT_SKIPS``. The
+shared codec / attrs parity gaps from the eager / dask / GPU modules
+do not all apply here because the VRT cells use only the source
+fixtures named below; the parametrize set is intentionally narrow.
+"""
+from __future__ import annotations
+
+import pathlib
+
+import numpy as np
+import pytest
+
+pytest.importorskip("yaml")
+rasterio = pytest.importorskip("rasterio")
+
+from xrspatial.geotiff import open_geotiff, write_vrt  # noqa: E402
+from xrspatial.geotiff.tests.golden_corpus import generate  # noqa: E402
+from xrspatial.geotiff.tests.golden_corpus._oracle import (  # noqa: E402
+    compare_to_oracle,
+)
+
+
+FIXTURES_DIR = (
+    pathlib.Path(generate.__file__).resolve().parent / "fixtures"
+)
+
+
+# Source fixtures the VRT cells use. These are chosen because their
+# default transform and dtype combine cleanly under a horizontal
+# concat: integer dtype keeps comparison bit-exact, default
+# transform is well-defined, no codec or attrs surprises.
+_VRT_SOURCE_IDS = ["dtype_uint8", "dtype_uint16"]
+
+
+def _build_two_source_vrt(
+    src_path: pathlib.Path, tmp_dir: pathlib.Path
+) -> tuple[pathlib.Path, np.ndarray]:
+    """Materialise two copies of ``src_path`` side-by-side and a VRT.
+
+    Returns the ``.vrt`` path and the expected mosaiced numpy array.
+    """
+    with rasterio.open(src_path) as src:
+        data = src.read(1)
+        profile = src.profile.copy()
+        _height, width = data.shape
+        t = src.transform
+    pw = float(t.a)
+    ox = float(t.c)
+    oy = float(t.f)
+    ph = float(t.e)
+
+    left = tmp_dir / "left.tif"
+    right = tmp_dir / "right.tif"
+    profile_left = profile.copy()
+    profile_left["transform"] = rasterio.transform.Affine(
+        pw, 0.0, ox, 0.0, ph, oy
+    )
+    profile_right = profile.copy()
+    profile_right["transform"] = rasterio.transform.Affine(
+        pw, 0.0, ox + pw * width, 0.0, ph, oy
+    )
+    with rasterio.open(str(left), "w", **profile_left) as dst:
+        dst.write(data, 1)
+    with rasterio.open(str(right), "w", **profile_right) as dst:
+        dst.write(data, 1)
+
+    vrt_path = tmp_dir / "mosaic.vrt"
+    write_vrt(str(vrt_path), [str(left), str(right)])
+
+    expected = np.concatenate([data, data], axis=1)
+    return vrt_path, expected
+
+
+@pytest.fixture(params=_VRT_SOURCE_IDS, ids=_VRT_SOURCE_IDS)
+def vrt_source_id(request) -> str:
+    return request.param
+
+
+def test_vrt_two_source_horizontal_mosaic(
+    vrt_source_id: str, tmp_path: pathlib.Path
+) -> None:
+    """``open_geotiff(vrt_path)`` matches a rasterio read of the same VRT.
+
+    The two source copies are horizontally tiled. The VRT writer wires
+    up the geotransform; the test compares the xrspatial read against
+    both the rasterio read of the VRT and a manual ``np.concatenate``
+    of the source pixels.
+    """
+    src_path = FIXTURES_DIR / f"{vrt_source_id}.tif"
+    if not src_path.exists():
+        pytest.skip(
+            f"source fixture {vrt_source_id!r} has no .tif on disk; run "
+            f"`python -m xrspatial.geotiff.tests.golden_corpus.generate`"
+        )
+
+    vrt_path, expected = _build_two_source_vrt(src_path, tmp_path)
+
+    # Independent sanity: the rasterio read of the VRT really does
+    # produce the horizontally concatenated mosaic. If the VRT writer
+    # ever drifts, this assertion catches it before the oracle does --
+    # which matters because the oracle also reads through rasterio and
+    # would silently agree with itself on a busted VRT.
+    with rasterio.open(vrt_path) as src:
+        ref = src.read(1)
+    assert ref.shape == expected.shape, (
+        f"rasterio VRT read shape mismatch: ref={ref.shape}, "
+        f"expected={expected.shape}"
+    )
+    np.testing.assert_array_equal(ref, expected)
+
+    # Parity check via the shared oracle. Compares pixels, dtype,
+    # transform, CRS, and nodata against the rasterio reference read of
+    # the same VRT, the same as every other phase 3 backend module.
+    candidate = open_geotiff(str(vrt_path))
+    compare_to_oracle(vrt_path, candidate)
+
+
+def test_vrt_source_ids_exist_in_manifest() -> None:
+    """Every id in ``_VRT_SOURCE_IDS`` must be a real manifest entry."""
+    manifest = generate.load_manifest()
+    entries = generate.validate(manifest)
+    manifest_ids = {e["id"] for e in entries}
+    stale = set(_VRT_SOURCE_IDS) - manifest_ids
+    assert not stale, (
+        f"VRT source list references unknown fixture ids: {sorted(stale)}"
+    )