add paper

Author: kadubon

works.html

@@ -70,6 +70,26 @@
         "https://huggingface.co/kadubon"
       ],
       "publication": [
+        {
+          "@type": "ScholarlyArticle",
+          "name": "Liberty Under No-Meta Drift",
+          "genre": "Preprint",
+          "url": "https://doi.org/10.5281/zenodo.18753475",
+          "datePublished": "2026-02-24",
+          "author": [
+            {
+              "@type": "Person",
+              "name": "K Takahashi"
+            }
+          ],
+          "isPartOf": {
+            "@type": "Periodical",
+            "name": "Zenodo"
+          },
+          "citation": "K Takahashi (2026-02-24). Liberty Under No-Meta Drift. Zenodo. https://doi.org/10.5281/zenodo.18753475",
+          "abstract": "This preprint establishes a testable theory of autonomous intelligence under no-meta ontology drift constraints, yielding auditable persistence and leakage-resource bounds without privileged semantic access. It unifies information-theoretic identifiability limits, thermodynamic irreversibility costs, geometric drift structure, and cryptographic accountability conditions for long-horizon AI governance.",
+          "keywords": "no-meta governance, ontology drift, persistent semantics, autonomous intelligence, AI safety, information leakage bounds, thermodynamic limits, semantic identifiability, cryptographic auditing, robust autonomy, multi-agent governance, accountable AI"
+        },
         {
           "@type": "ScholarlyArticle",
           "name": "Audit-Closed AI Scientist Protocol",
@@ -3584,6 +3604,27 @@ <h1>
        Machine-readable endpoints: <a href="https://kadubon.github.io/github.io/feed.xml">RSS feed</a>, <a href="https://kadubon.github.io/github.io/CITATION.cff">CITATION.cff</a>, <a href="https://kadubon.github.io/github.io/robots.txt">robots.txt</a>, and <a href="https://kadubon.github.io/github.io/sitemap.xml">sitemap.xml</a>.
       </p>
       <ol class="publication-list">
+       <li>
+        <div class="publication-item">
+         <h3>
+          Liberty Under No-Meta Drift
+         </h3>
+         <p>
+          <span class="publication-meta">
+           Preprint | Published: 2026-02-24
+          </span>
+          <a href="https://doi.org/10.5281/zenodo.18753475" target="_blank">
+           DOI: 10.5281/zenodo.18753475
+          </a>
+         </p>
+         <p class="publication-abstract">
+          Abstract: This preprint establishes a testable theory of autonomous intelligence under no-meta ontology drift constraints, yielding auditable persistence and leakage-resource bounds without privileged semantic access. It unifies information-theoretic identifiability limits, thermodynamic irreversibility costs, geometric drift structure, and cryptographic accountability conditions for long-horizon AI governance.
+         </p>
+         <p class="publication-keywords">
+          Keywords: no-meta governance, ontology drift, persistent semantics, autonomous intelligence, AI safety, information leakage bounds, thermodynamic limits, semantic identifiability, cryptographic auditing, robust autonomy, multi-agent governance, accountable AI
+         </p>
+        </div>
+       </li>
        <li>
         <div class="publication-item">
          <h3>