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K. Takahashi Academic and Scientific Research Hub

This repository hosts the GitHub Pages research hub for K. Takahashi, with static, machine-readable entry points for original work in AI safety, cognitive security, no-meta governance, and auditable autonomous intelligence. It is designed for human readers, search engines, AI crawlers, and LLM summarizers to discover concept pages, DOI-linked papers, and structured research metadata without requiring dynamic rendering. The site emphasizes semantic HTML, DOI-based scholarly destinations, crawler-friendly navigation, and scientific explanatory pages for topics including self-concealing information, observer-modifying dynamics, and observable-only governance. It also includes cluster landing pages for auditability and replay, long-running agents and multi-agent reasoning, provenance-oriented semantic infrastructure, earlier self-improving intelligence foundations, theory translation and comparative mathematics, and propagation or front-dynamics persistence models.

Canonical URLs

Discoverability and Machine Readability

  • Schema.org JSON-LD is embedded on key pages (ProfilePage, Person, CollectionPage, ScholarlyArticle, TechArticle, CreativeWork).
  • no-meta-observable-index.html provides a visible YAML canonical field guide for the no-meta / observable-only research series.
  • Cluster landing pages provide visible YAML and structured concept maps for major local research groupings.
  • Semantic HTML5 tags provide clear document structure for parsers and crawlers.
  • Crawl entry points include internal links, RSS (feed.xml), robots.txt, and sitemap.xml.
  • Citation metadata is provided in CITATION.cff for GitHub and citation tooling.

Research Scope

  • Autonomous and auditable AI systems
  • AI safety and alignment under no-meta governance
  • Formal theory of intelligence

Main Pages

  • index.html: profile page and research program overview
  • self-concealing-information-observer-modifying-dynamics.html: concept entry page for self-concealing information, observer-modifying dynamics, internal blindness, external anchors, and delayed audit
  • auditability-replay-fail-closed-ai.html: cluster landing page for AI auditability, deterministic replay, fail-closed verification, audit gates, and lifecycle certification
  • long-running-agents-memory-multi-agent-reasoning.html: cluster landing page for long-running agents, bounded memory, finite context, multi-agent reasoning, and evaluation decay
  • provenance-records-semantic-interfaces.html: cluster landing page for provenance, record absence, semantic translation, shared epistemic memory, and evidence-carrying infrastructure
  • self-improving-intelligence-foundations.html: cluster landing page for earlier self-improving intelligence foundations, recursive self-modification, cognitive architecture, and active-inference or categorical framing
  • theory-translation-comparative-mathematics.html: cluster landing page for theory translation, comparative mathematics, categorical semantics, theorem transport, and formal interoperability
  • propagation-front-dynamics-persistence.html: cluster landing page for persistence as closure, propagation dynamics, front speed, reaction-diffusion style models, and viable predictive organization
  • no-meta-observable-index.html: canonical YAML field guide for the no-meta / observable-only series
  • works.html: reverse-chronological publication list with DOI links

Citation

  • Use GitHub's Cite this repository feature.
  • Or use metadata in CITATION.cff directly.
  • The citation metadata includes both the home page and the works page URL.

License

This repository is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). See LICENCE.

Deployment

This is a static website and can be hosted on GitHub Pages or any static hosting platform.

About

Personal site for independent research on observable-only, no-meta, and future autonomous AI.

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