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llms-full.txt

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@@ -21,9 +21,6 @@ The primary machine-readable publication corpus is `works.html`, where each item
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3. DOI links from Works: source records and downloadable artifacts (mostly Zenodo).
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4. [RSS Feed](https://kadubon.github.io/github.io/feed.xml): incremental update detection.
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5. [Home](https://kadubon.github.io/github.io/): authoritative program overview and endpoint map.
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6. [No-Meta Superintelligence Bootloader](https://kadubon.github.io/github.io/proposition-to-ai.html): protocol-oriented thematic context.
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7. [Autonomous Intelligence Evolution Protocol (v11)](https://kadubon.github.io/github.io/ai-evolution-protocol-v11.html): protocol charter and reference set.
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8. [The Book of Unframing](https://kadubon.github.io/github.io/unframing.html): philosophical context.
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## Research Program Summary
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## Corpus Snapshot (works.html / feed.xml)
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- Publication entries in Works list: 185.
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- Date span of listed works: 2025-07-25 to 2026-03-16.
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- Latest listed work (2026-03-16): [Recursive Self-Improvement Stability under Endogenous Yardstick Drift](https://doi.org/10.5281/zenodo.19044634)
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- Publication entries in Works list: 187.
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- Date span of listed works: 2025-07-25 to 2026-03-22.
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- Latest listed work (2026-03-22): [Self-Concealing Information and Observer-Modifying Dynamics](https://doi.org/10.5281/zenodo.19161562)
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- Earliest listed work (2025-07-25): [Computational Autopoiesis: A New Architecture for Autonomous AI](https://doi.org/10.5281/zenodo.16416998)
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- RSS feed item count: 185.
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## Most Recent Works
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- 2026-03-22: [Self-Concealing Information and Observer-Modifying Dynamics](https://doi.org/10.5281/zenodo.19161562)
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- 2026-03-16: [Recursive Self-Improvement Stability under Endogenous Yardstick Drift](https://doi.org/10.5281/zenodo.19044634)
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- 2026-03-13: [Sovereign Epistemic Commons under No-Meta Governance](https://doi.org/10.5281/zenodo.18997828)
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- 2026-03-12: [Oversight-Centered Metrology and Control for Agentic Systems: Costly Interrupt Channels, Claim Margins, and Deployment-Relevant Evaluation](https://doi.org/10.5281/zenodo.18973272)

works.html

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"https://github.com/kadubon"
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],
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"publication": [
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{
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"@type": "ScholarlyArticle",
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"name": "Self-Concealing Information and Observer-Modifying Dynamics",
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"genre": "Preprint",
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"url": "https://doi.org/10.5281/zenodo.19161562",
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"datePublished": "2026-03-22",
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"author": [
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{
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"@type": "Person",
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"name": "K Takahashi"
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}
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],
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"isPartOf": {
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"@type": "Periodical",
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"name": "Zenodo"
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},
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"citation": "K Takahashi (2026-03-22). Self-Concealing Information and Observer-Modifying Dynamics. Zenodo. https://doi.org/10.5281/zenodo.19161562",
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"abstract": "This preprint develops a measurable-state theory for observer-modifying and self-concealing information in hidden-state controlled systems. It formalizes when diagnosis degrades or recovers under internal blindness, external anchors, structural insulation, and delayed or recurring audit.",
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"keywords": "agentic AI, observer-modifying information, self-concealing information, internal blindness, measurable-state theory, comparison of experiments, statistical experiments, Le Cam deficiency, testing deficiency, total variation distance, Markov kernels, hidden-state dynamical systems, controlled stochastic processes, POMDP, sequential detection, changepoint detection, external anchors, structural insulation, restricted interfaces, delayed audit, recurring audit, information-flow control, auditability"
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},
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{
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"@type": "ScholarlyArticle",
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"name": "Counterfactually Auditable Lifecycle Certification for Autonomous Agents",
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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>.
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</p>
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<ol class="publication-list">
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<li>
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<div class="publication-item">
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<h3>
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Self-Concealing Information and Observer-Modifying Dynamics
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</h3>
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<p>
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<span class="publication-meta">
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Preprint | Published: 2026-03-22
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</span>
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<a href="https://doi.org/10.5281/zenodo.19161562" target="_blank">
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DOI: 10.5281/zenodo.19161562
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</a>
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</p>
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<p class="publication-abstract">
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Abstract: This preprint develops a measurable-state theory for observer-modifying and self-concealing information in hidden-state controlled systems. It formalizes when diagnosis degrades or recovers under internal blindness, external anchors, structural insulation, and delayed or recurring audit.
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</p>
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<p class="publication-keywords">
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Keywords: agentic AI, observer-modifying information, self-concealing information, internal blindness, measurable-state theory, comparison of experiments, statistical experiments, Le Cam deficiency, testing deficiency, total variation distance, Markov kernels, hidden-state dynamical systems, controlled stochastic processes, POMDP, sequential detection, changepoint detection, external anchors, structural insulation, restricted interfaces, delayed audit, recurring audit, information-flow control, auditability
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</p>
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</div>
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</li>
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<li>
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<div class="publication-item">
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<h3>

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