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# K. Takahashi Academic and Scientific Research Hub (Full Context)
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> Canonical public research hub of K. Takahashi focused on auditable no-meta AI safety and alignment, shared epistemic commons, persistent semantics under ontology drift, self-organizing intelligence, and computational philosophy.
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> Canonical public research hub of K. Takahashi focused on auditable no-meta AI safety, persistent semantics under ontology drift, shared epistemic commons, semantic translation, reflexive classification, observer-modifying dynamics, and computer science.
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This repository-backed website is designed for both humans and automated systems.
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The primary machine-readable publication corpus is `works.html`, where each item includes title, type, date, DOI, abstract, and keywords, with parallel Schema.org JSON-LD metadata.
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- Fail-closed verification, deterministic replay, and audit-certificate workflows.
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- Governance laws for shared epistemic commons under no-meta constraints.
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- Stability criteria for recursive self-improvement under endogenous yardstick drift.
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- Semantic translation, accountable semantics, and symbolically checkable contract calculi.
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- Reflexive classification, cognitive drift, and deployment-aware evaluation loops.
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- Observer-modifying information, self-concealment, delayed audit, and diagnosability.
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- Proof-carrying and evidence-carrying autonomy for reusable AI/LLM operations under resource constraints.
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- Self-organizing intelligence and computational philosophy.
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- Capability-to-real-economy translation under physical and institutional bottlenecks.
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## Corpus Snapshot (works.html / feed.xml)
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- Publication entries in Works list: 190.
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- Date span of listed works: 2025-07-25 to 2026-03-29.
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- Latest listed work (2026-03-29): [Classification-Induced Cognitive Drift](https://doi.org/10.5281/zenodo.19306514)
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- Publication entries in Works list: 191.
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- Date span of listed works: 2025-07-25 to 2026-03-31.
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- Latest listed work (2026-03-31): [Observer-Modifying Contagion on Networks](https://doi.org/10.5281/zenodo.19342966)
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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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- 2026-03-31: [Observer-Modifying Contagion on Networks](https://doi.org/10.5281/zenodo.19342966)
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- 2026-03-29: [Classification-Induced Cognitive Drift](https://doi.org/10.5281/zenodo.19306514)
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- 2026-03-28: [Record Absence and Preference Reorganization on a Fixed Comparison Frame](https://doi.org/10.5281/zenodo.19272154)
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- 2026-03-26: [A Symbolically Effective Contract Calculus for Gluing-Coherent Semantic Translation](https://doi.org/10.5281/zenodo.19231780)
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- For citable outputs, prefer DOI targets from Works.
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- For complete local metadata in one page, prefer Works JSON-LD plus HTML list.
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- Use feed polling for change detection; do not infer completeness from social links.
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- Use feed polling for change detection, but prefer Works over RSS for complete corpus counts because the feed can lag behind the works index.
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- Treat `unframing.html` as philosophical context, not a normative technical specification.
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- Treat YAML/TXT artifacts below as supplemental structured context.
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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": "Observer-Modifying Contagion on Networks",
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"genre": "Preprint",
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"url": "https://doi.org/10.5281/zenodo.19342966",
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"datePublished": "2026-03-31",
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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 (2026-03-31). Observer-Modifying Contagion on Networks. Zenodo. https://doi.org/10.5281/zenodo.19342966",
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"abstract": "This preprint develops a finite-horizon certificate framework for observer-modifying contagion on networks, where exposure can also change later diagnosability and auditability. It formalizes self-concealment, internal blindness, external recovery, delayed audit, and fail-closed containment claims under explicit comparison semantics.",
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"keywords": "observer-modifying contagion, network contagion, self-concealment, diagnosability, internal blindness, external recovery, delayed audit, comparison of experiments, Blackwell ordering, finite-horizon certificates, compositional certificate framework, witness lineages, persistence on networks, mutation robustness, active-support counts, fail-closed semantics, accountable containment, AI safety, information propagation, semantic hazard"
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},
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{
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"@type": "ScholarlyArticle",
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"name": "Classification-Induced Cognitive Drift",
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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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Observer-Modifying Contagion on Networks
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</h3>
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<p>
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<span class="publication-meta">
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Preprint | Published: 2026-03-31
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</span>
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<a href="https://doi.org/10.5281/zenodo.19342966" target="_blank">
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DOI: 10.5281/zenodo.19342966
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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 finite-horizon certificate framework for observer-modifying contagion on networks, where exposure can also change later diagnosability and auditability. It formalizes self-concealment, internal blindness, external recovery, delayed audit, and fail-closed containment claims under explicit comparison semantics.
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</p>
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<p class="publication-keywords">
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Keywords: observer-modifying contagion, network contagion, self-concealment, diagnosability, internal blindness, external recovery, delayed audit, comparison of experiments, Blackwell ordering, finite-horizon certificates, compositional certificate framework, witness lineages, persistence on networks, mutation robustness, active-support counts, fail-closed semantics, accountable containment, AI safety, information propagation, semantic hazard
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</p>
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</div>
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</li>
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