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"https://huggingface.co/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": "Observable-Only Structural-Risk Institutions Without Central Arbitration",
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"genre": "Preprint",
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"url": "https://doi.org/10.5281/zenodo.18666605",
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"datePublished": "2026-02-17",
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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 (2026-02-17). Observable-Only Structural-Risk Institutions Without Central Arbitration. Zenodo. https://doi.org/10.5281/zenodo.18666605",
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"abstract": "The preprint develops observable-only, no-meta institutional rules for structural risk in competitive AI systems, proving deterrence and non-domination conditions with escrow-based reversibility, coalition-aware repeated-game guarantees, and finite-sample heavy-tail certification under auditable public records.",
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"keywords": "structural risk institutions, observable-only, no-meta governance, decentralized arbitration, repeated games, coalition deterrence, escrow reversibility, heavy-tail certification, finite-sample guarantees, AI safety institutions, public auditability"
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},
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{
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"@type": "ScholarlyArticle",
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"name": "No-Meta Intelligence Under Ontology Drift: Information-Theoretic Limits and Operational Laws for Persistent Semantics",
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This page is a research publication list (preprints and articles) by K. Takahashi on no-meta AI alignment, persistence-first superintelligence, and self-organizing intelligence across scales. Each entry includes title, publication type, publication date, DOI, abstract, and keywords; the same metadata is embedded as schema.org JSON-LD for search engines and AI crawlers. Publications are sorted by date, and each DOI links to a machine-readable Zenodo record.
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<ol class="publication-list">
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<li>
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<h3>
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Observable-Only Structural-Risk Institutions Without Central Arbitration
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</h3>
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<span class="publication-meta">
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Preprint | Published: 2026-02-17
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</span>
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<a href="https://doi.org/10.5281/zenodo.18666605" target="_blank">
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DOI: 10.5281/zenodo.18666605
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</a>
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</p>
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<p class="publication-abstract">
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Abstract: The preprint develops observable-only, no-meta institutional rules for structural risk in competitive AI systems, proving deterrence and non-domination conditions with escrow-based reversibility, coalition-aware repeated-game guarantees, and finite-sample heavy-tail certification under auditable public records.
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</p>
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<p class="publication-keywords">
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Keywords: structural risk institutions, observable-only, no-meta governance, decentralized arbitration, repeated games, coalition deterrence, escrow reversibility, heavy-tail certification, finite-sample guarantees, AI safety institutions, public auditability
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</p>
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</li>
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