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<!DOCTYPE html>
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<title>Research Map | Site-Wide Theory Stack | K. Takahashi</title>
<meta name="description" content="Canonical site-wide synthesis page for K. Takahashi's research program. Maps how foundations, semantics, verification, long-running agents, transfer, deployment, governance, and public accountability fit together across the site.">
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<a class="skip-link" href="#main-content">Skip to main content</a>
<header>
<div class="intro">
<p class="site-title"><a class="site-title-link" href="https://kadubon.github.io/github.io/">K. Takahashi</a></p>
</div>
<nav aria-label="Primary">
<ul>
<li><a href="https://kadubon.github.io/github.io/">Home</a></li>
<li><a aria-current="page" href="https://kadubon.github.io/github.io/research-map.html">Research Map</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html">Works</a></li>
<li><a href="https://kadubon.github.io/github.io/no-meta-observable-index.html">No-Meta Index</a></li>
</ul>
</nav>
</header>
<main id="main-content">
<article>
<header class="container hero" id="overview">
<nav class="breadcrumb-nav" aria-label="Breadcrumb">
<ol class="breadcrumb-list">
<li><a href="https://kadubon.github.io/github.io/">Home</a></li>
<li><span aria-current="page">Research Map</span></li>
</ol>
</nav>
<p class="eyebrow">Canonical Site-Wide Synthesis Page</p>
<h1>Research Map</h1>
<div class="summary-stack" aria-label="Top summary">
<p>This page is the integrated map of the research program across foundations, persistent semantics, verification, long-running agents, transfer, deployment, governance, and public accountability.</p>
<p>Use it as the site-wide coordination layer above the cluster pages and the full works index when you need the global structure, dependency arrows, canonical entry points, and upper-layer deployment or governance split.</p>
<p>It is a navigation and synthesis page rather than a new theory paper.</p>
</div>
<p class="subtitle">Executive map, dependency map, and theory stack overview for the site's research clusters and machine-readable entry points.</p>
</header>
<section class="container section-copy section-nav" aria-labelledby="section-guide-heading">
<h2 id="section-guide-heading">Section Guide</h2>
<ul>
<li><a href="#why-this-page-exists">Why This Page Exists</a></li>
<li><a href="#canonical-yaml-map">Canonical YAML Map</a></li>
<li><a href="#core-stack">Core Stack / Major Pillars</a></li>
<li><a href="#dependency-map">Dependency Map</a></li>
<li><a href="#read-paths">Read Paths by Audience</a></li>
<li><a href="#entry-points">Entry Points and Machine-Readable Navigation</a></li>
<li><a href="#non-goals">Non-Goals / Boundary Conditions</a></li>
</ul>
</section>
<section class="container section-copy" id="why-this-page-exists" aria-labelledby="why-heading">
<h2 id="why-heading">Why This Page Exists</h2>
<p>The site already contains multiple cluster pages and a full works index. Those pages explain local topics and expose paper-level links, but they do not by themselves provide a single stack-level map of how the clusters depend on one another.</p>
<p>This page supplies that missing synthesis layer. It states what problem each major pillar addresses, which pillars are foundational versus upper-layer or deployment-facing, and where new readers should begin before moving into the local cluster pages or the full publication list.</p>
<div class="card-grid">
<article class="panel-card">
<h3>What This Page Is</h3>
<p>A site-wide coordination and navigation layer for human readers, policy readers, engineers, AI agents, and parsers.</p>
<p>A compact statement of the research stack, the main dependency arrows, and the canonical entry pages for each pillar.</p>
</article>
<article class="panel-card">
<h3>What This Page Is Not</h3>
<p>Not a replacement for the cluster pages, not a complete publication list, and not a survey of external literature.</p>
<p>Not a claim that the site has solved governance, alignment, or deployment in full. It only maps the local research program and its stated dependencies.</p>
</article>
</div>
</section>
<section class="container section-copy" id="canonical-yaml-map" aria-labelledby="yaml-heading">
<h2 id="yaml-heading">Canonical YAML Map</h2>
<p class="index-note">This visible YAML block is the primary machine-readable summary for the site-wide map.</p>
<p class="index-note">It is intentionally compact and structural so the richer interpretation remains in the HTML sections below.</p>
<p class="index-note">The JSON-LD in the head is limited to page, breadcrumb, and pillar-list metadata and does not imply a separate YAML file.</p>
<pre id="canonical-synthesis-yaml" class="yaml-index" data-format="yaml" data-machine-readable="primary" data-series-id="site-wide-research-map" data-last-updated="2026-04-25" aria-label="Canonical YAML map for the site-wide research stack">page:
id: research-map
title: "Research Map"
canonical_url: https://kadubon.github.io/github.io/research-map.html
page_type: site-wide-synthesis
role: cross-cluster navigation and dependency map
updated: 2026-04-25
primary_machine_summary_anchor: "#canonical-synthesis-yaml"
pillars:
- id: foundations-translation-persistence
order: 1
layer: foundational
page_anchor: "#pillar-foundations"
title: "Formal Foundations, Translation, and Persistence"
flagship_pages:
- https://kadubon.github.io/github.io/self-improving-intelligence-foundations.html
- id: semantics-ontology-drift-provenance
order: 2
layer: foundational-interpretive
page_anchor: "#pillar-semantics"
title: "Persistent Semantics, Ontology Drift, and Provenance"
flagship_pages:
- https://kadubon.github.io/github.io/self-concealing-information-observer-modifying-dynamics.html
- id: verification-auditability-evaluation-bounds
order: 3
layer: measurement-and-control
page_anchor: "#pillar-verification"
title: "Verification, Auditability, and Evaluation Bounds"
flagship_pages:
- https://kadubon.github.io/github.io/auditability-replay-fail-closed-ai.html
- id: long-running-agents-memory-multi-agent-operation
order: 4
layer: operational
page_anchor: "#pillar-agents"
title: "Long-Running Agents, Memory Limits, and Multi-Agent Operation"
flagship_pages:
- https://kadubon.github.io/github.io/long-running-agents-memory-multi-agent-reasoning.html
- id: transfer-deployment-governance-accountability
order: 5
layer: upper-layer
page_anchor: "#pillar-upper-layer"
title: "Transfer, Deployment, Governance, and Public Accountability"
flagship_pages:
- https://kadubon.github.io/github.io/no-meta-observable-index.html
- https://kadubon.github.io/github.io/works.html#2026-04-17-small-to-frontier-transfer-theory-for-agentic-a-19619480
- https://kadubon.github.io/github.io/works.html#2026-04-25-executable-authority-migration-to-declared-no-meta-agency-19753529
dependencies:
- from: foundations-translation-persistence
to: semantics-ontology-drift-provenance
constraint: semantic comparability under drift
- from: foundations-translation-persistence
to: verification-auditability-evaluation-bounds
constraint: explicit objects, transport, and persistence conditions
- from: semantics-ontology-drift-provenance
to: verification-auditability-evaluation-bounds
constraint: auditability requires stable-enough claim and record interpretation
- from: verification-auditability-evaluation-bounds
to: long-running-agents-memory-multi-agent-operation
constraint: persistent agents need replay, validity checks, and bounded credit
- from: semantics-ontology-drift-provenance
to: transfer-deployment-governance-accountability
constraint: governance and deployment need provenance-stable interfaces
- from: verification-auditability-evaluation-bounds
to: transfer-deployment-governance-accountability
constraint: release and certification need replayable evidence and bounded evaluation
- from: long-running-agents-memory-multi-agent-operation
to: transfer-deployment-governance-accountability
constraint: deployment depends on long-horizon memory and coordination limits
audience_paths:
first_time_human_reader:
- https://kadubon.github.io/github.io/
- https://kadubon.github.io/github.io/research-map.html
- https://kadubon.github.io/github.io/no-meta-observable-index.html
- https://kadubon.github.io/github.io/auditability-replay-fail-closed-ai.html
- https://kadubon.github.io/github.io/self-concealing-information-observer-modifying-dynamics.html
- https://kadubon.github.io/github.io/works.html
engineer_systems_builder:
- https://kadubon.github.io/github.io/research-map.html
- https://kadubon.github.io/github.io/auditability-replay-fail-closed-ai.html
- https://kadubon.github.io/github.io/long-running-agents-memory-multi-agent-reasoning.html
- https://kadubon.github.io/github.io/provenance-records-semantic-interfaces.html
- https://kadubon.github.io/github.io/works.html#2026-03-03-metrology-theoretic-epistemics-engine-mte-observ-18845340
- https://kadubon.github.io/github.io/works.html#2026-03-18-counterfactually-auditable-lifecycle-certificati-19089134
- https://kadubon.github.io/github.io/works.html#2026-04-17-small-to-frontier-transfer-theory-for-agentic-a-19619480
- https://kadubon.github.io/github.io/works.html#2026-04-25-executable-authority-migration-to-declared-no-meta-agency-19753529
policy_governance_reader:
- https://kadubon.github.io/github.io/research-map.html
- https://kadubon.github.io/github.io/no-meta-observable-index.html
- https://kadubon.github.io/github.io/works.html#2026-04-01-constitutional-observable-invention-without-meta-19363526
- https://kadubon.github.io/github.io/works.html#2026-04-05-a-typed-dynamic-no-meta-theory-of-autonomous-res-19427818
- https://kadubon.github.io/github.io/works.html#2026-04-07-standing-layer-honest-public-standing-dynamics-f-19447443
- https://kadubon.github.io/github.io/works.html#2026-04-16-bayesian-capability-transport-disclosure-channel-19601364
- https://kadubon.github.io/github.io/works.html#2026-04-17-small-to-frontier-transfer-theory-for-agentic-a-19619480
- https://kadubon.github.io/github.io/works.html#2026-04-25-executable-authority-migration-to-declared-no-meta-agency-19753529
ai_agent_machine_parser:
- https://kadubon.github.io/github.io/research-map.html#canonical-synthesis-yaml
- https://kadubon.github.io/github.io/no-meta-observable-index.html#canonical-series-yaml
- https://kadubon.github.io/github.io/llms.txt
- https://kadubon.github.io/github.io/llms-full.txt
- https://kadubon.github.io/github.io/works.html
- https://kadubon.github.io/github.io/sitemap.xml
foundations_first_researcher:
- https://kadubon.github.io/github.io/research-map.html
- https://kadubon.github.io/github.io/self-improving-intelligence-foundations.html
- https://kadubon.github.io/github.io/theory-translation-comparative-mathematics.html
- https://kadubon.github.io/github.io/propagation-front-dynamics-persistence.html
- https://kadubon.github.io/github.io/self-concealing-information-observer-modifying-dynamics.html
- https://kadubon.github.io/github.io/auditability-replay-fail-closed-ai.html
machine_entry_points:
- https://kadubon.github.io/github.io/
- https://kadubon.github.io/github.io/research-map.html
- https://kadubon.github.io/github.io/works.html
- https://kadubon.github.io/github.io/no-meta-observable-index.html
- https://kadubon.github.io/github.io/llms.txt
- https://kadubon.github.io/github.io/llms-full.txt
- https://kadubon.github.io/github.io/feed.xml
- https://kadubon.github.io/github.io/CITATION.cff
- https://kadubon.github.io/github.io/sitemap.xml</pre>
</section>
<section class="container section-copy" id="core-stack" aria-labelledby="core-stack-heading">
<h2 id="core-stack-heading">Core Stack / Major Pillars</h2>
<p class="cluster-note">The stack below is ordered from foundational layers to upper-layer transfer, deployment, governance, and accountability layers.</p>
<ul class="orientation-list" aria-label="Layer orientation">
<li>Foundational layers: formal foundations, translation, persistence, and drift-aware semantics.</li>
<li>Constraint layers: verification, auditability, and evaluation bounds.</li>
<li>Operational layer: long-running agents, memory limits, and multi-agent operation.</li>
<li>Upper layer: transfer, deployment, governance, and public accountability.</li>
</ul>
<div class="pillar-grid">
<article class="pillar-card" id="pillar-foundations" data-pillar-id="foundations-translation-persistence">
<h3>1. Formal Foundations, Translation, and Persistence</h3>
<p class="pillar-layer">Layer: foundational</p>
<p><strong>What this solves:</strong> It supplies the formal language for self-organizing intelligence, persistence conditions, and translation across frameworks.</p>
<p><strong>Why it matters:</strong> Claims about agent structure, self-improvement, or cross-system comparison remain unstable when the underlying objects and transport assumptions are left implicit.</p>
<p class="pillar-flagship">Flagship entry point: <a href="https://kadubon.github.io/github.io/self-improving-intelligence-foundations.html">Self-Improving Intelligence Foundations</a></p>
<ul class="representative-list">
<li><a href="https://kadubon.github.io/github.io/theory-translation-comparative-mathematics.html">Theory Translation and Comparative Mathematics</a></li>
<li><a href="https://kadubon.github.io/github.io/propagation-front-dynamics-persistence.html">Propagation, Front Dynamics, and Persistence</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2025-07-25-computational-autopoiesis-a-new-architecture-for-16416998">Computational Autopoiesis: A New Architecture for Autonomous AI</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2025-07-25-a-category-theoretic-framework-for-a-self-organi-16417130">A Category-Theoretic Framework for a Self-Organizing World Model in Artificial Intelligence</a></li>
</ul>
</article>
<article class="pillar-card" id="pillar-semantics" data-pillar-id="semantics-ontology-drift-provenance">
<h3>2. Persistent Semantics, Ontology Drift, and Provenance</h3>
<p class="pillar-layer">Layer: foundational-interpretive</p>
<p><strong>What this solves:</strong> It explains how claims, records, and interfaces remain comparable, or fail to remain comparable, under observer change, semantic drift, or record absence.</p>
<p><strong>Why it matters:</strong> Frontier AI, autonomous systems, and public audits depend on meanings that survive drift and on interfaces whose provenance is explicit enough to be checked.</p>
<p class="pillar-flagship">Flagship entry point: <a href="https://kadubon.github.io/github.io/self-concealing-information-observer-modifying-dynamics.html">Self-Concealing Information and Observer-Modifying Dynamics</a></p>
<ul class="representative-list">
<li><a href="https://kadubon.github.io/github.io/provenance-records-semantic-interfaces.html">Provenance, Records, and Semantic Interfaces</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-02-16-no-meta-intelligence-under-ontology-drift-inform-18653537">No-Meta Intelligence Under Ontology Drift</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-03-26-a-symbolically-effective-contract-calculus-for-g-19231780">A Symbolically Effective Contract Calculus for Gluing-Coherent Semantic Translation</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-03-28-record-absence-and-preference-reorganization-on--19272154">Record Absence and Preference Reorganization on a Fixed Comparison Frame</a></li>
</ul>
</article>
<article class="pillar-card" id="pillar-verification" data-pillar-id="verification-auditability-evaluation-bounds">
<h3>3. Verification, Auditability, and Evaluation Bounds</h3>
<p class="pillar-layer">Layer: measurement and control</p>
<p><strong>What this solves:</strong> It specifies replayable evidence surfaces, lifecycle certification, bounded progress credit, and validity limits for evaluation under partial or delayed evidence.</p>
<p><strong>Why it matters:</strong> Progress claims about frontier systems are weak if they cannot be reconstructed, audited, or bounded without relying on internal assurances.</p>
<p class="pillar-flagship">Flagship entry point: <a href="https://kadubon.github.io/github.io/auditability-replay-fail-closed-ai.html">Auditability, Replay, and Fail-Closed AI Systems</a></p>
<ul class="representative-list">
<li><a href="https://kadubon.github.io/github.io/works.html#2026-03-03-metrology-theoretic-epistemics-engine-mte-observ-18845340">Metrology-Theoretic Epistemics Engine (MTE)</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-03-18-counterfactually-auditable-lifecycle-certificati-19089134">Counterfactually Auditable Lifecycle Certification for Autonomous Agents</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-03-12-oversight-centered-metrology-and-control-for-age-18973272">Oversight-Centered Metrology and Control for Agentic Systems</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-03-11-ai-benchmark-half-life-in-recursive-corpora-a-th-18954286">AI Benchmark Half-Life in Recursive Corpora</a></li>
</ul>
</article>
<article class="pillar-card" id="pillar-agents" data-pillar-id="long-running-agents-memory-multi-agent-operation">
<h3>4. Long-Running Agents, Memory Limits, and Multi-Agent Operation</h3>
<p class="pillar-layer">Layer: operational</p>
<p><strong>What this solves:</strong> It analyzes persistent agent behavior under finite active context, lossy memory, delayed verification, and agent decomposition.</p>
<p><strong>Why it matters:</strong> Deployment-relevant autonomy is long-horizon. One-shot benchmarks do not determine what a persistent agent can retain, route, or verify after many updates, resets, and handoffs.</p>
<p class="pillar-flagship">Flagship entry point: <a href="https://kadubon.github.io/github.io/long-running-agents-memory-multi-agent-reasoning.html">Long-Running Agents, Memory Limits, and Multi-Agent Reasoning</a></p>
<ul class="representative-list">
<li><a href="https://kadubon.github.io/github.io/works.html#2026-03-08-search-stability-under-finite-context-a-minimal--18905242">Search Stability under Finite Context</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-03-10-when-should-inference-be-split-a-fixed-budget-th-18932509">When Should Inference Be Split?</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-03-16-recursive-self-improvement-stability-under-endog-19044634">Recursive Self-Improvement Stability under Endogenous Yardstick Drift</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-03-when-should-a-local-agent-act-assist-verify-with-19394600">When Should a Local Agent Act, Assist, Verify, Withdraw, or Exit?</a></li>
</ul>
</article>
<article class="pillar-card" id="pillar-upper-layer" data-pillar-id="transfer-deployment-governance-accountability">
<h3>5. Transfer, Deployment, Governance, and Public Accountability</h3>
<p class="pillar-layer">Layer: upper-layer</p>
<p><strong>What this solves:</strong> It turns the earlier layers into transfer criteria, deployment decisions, claim certification, release control, institutional transport, and public accountability rules.</p>
<p><strong>Why it matters:</strong> Local technical gains do not justify deployment by themselves. Upper-layer decisions still need transfer validity, release discipline, and public evidence-bearing accountability.</p>
<p><strong>Transfer / deployment focus:</strong> Small-to-frontier transfer, frontier escalation, and institution-crossing deployment decisions.</p>
<p><strong>Governance / accountability focus:</strong> No-meta certification, authority migration, release control, public standing, and observable-only accountability.</p>
<p class="pillar-flagship">Governance flagship: <a href="https://kadubon.github.io/github.io/no-meta-observable-index.html">No-Meta / Observable-Only Series Index</a></p>
<p class="pillar-flagship">Authority migration entry point: <a href="https://kadubon.github.io/github.io/works.html#2026-04-25-executable-authority-migration-to-declared-no-meta-agency-19753529">Executable Authority Migration to Declared No-Meta Agency</a></p>
<p class="pillar-flagship">Transfer / deployment flagship: <a href="https://kadubon.github.io/github.io/works.html#2026-04-17-small-to-frontier-transfer-theory-for-agentic-a-19619480">Small-to-Frontier Transfer Theory for Agentic AI</a></p>
<p class="pillar-subheading">Governance and accountability pages</p>
<ul class="representative-list">
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-01-constitutional-observable-invention-without-meta-19363526">Constitutional Observable Invention without Meta-Evaluators</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-05-a-typed-dynamic-no-meta-theory-of-autonomous-res-19427818">A Typed, Dynamic, No-Meta Theory of Autonomous Research Claim Certification and Release</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-07-standing-layer-honest-public-standing-dynamics-f-19447443">Standing-Layer Honest Public Standing Dynamics for Research Claims</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-25-executable-authority-migration-to-declared-no-meta-agency-19753529">Executable Authority Migration to Declared No-Meta Agency</a></li>
</ul>
<p class="pillar-subheading">Transfer and deployment pages</p>
<ul class="representative-list">
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-16-bayesian-capability-transport-disclosure-channel-19601364">Bayesian Capability Transport, Disclosure Channels, and Strategic Institutions for Autonomous Agents</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-17-small-to-frontier-transfer-theory-for-agentic-a-19619480">Small-to-Frontier Transfer Theory for Agentic AI</a></li>
</ul>
</article>
</div>
</section>
<section class="container section-copy" id="dependency-map" aria-labelledby="dependency-heading">
<h2 id="dependency-heading">Dependency Map</h2>
<p>This section states directional dependencies rather than publication chronology. The arrows show which lower layers constrain the interpretation or admissibility of higher-layer claims.</p>
<ul class="dependency-list">
<li><strong>Formal foundations, translation, and persistence -> persistent semantics, ontology drift, and provenance.</strong> Translation and persistence results constrain what can still count as the same object, record, or interface when semantics drift.</li>
<li><strong>Formal foundations, translation, and persistence -> verification, auditability, and evaluation bounds.</strong> Audit and evaluation rules depend on explicit object boundaries, transport assumptions, and persistence conditions.</li>
<li><strong>Persistent semantics, ontology drift, and provenance -> verification, auditability, and evaluation bounds.</strong> Replay, certification, and benchmarking only remain meaningful when the claims and records being checked still have stable enough interpretations.</li>
<li><strong>Verification, auditability, and evaluation bounds -> long-running agents, memory limits, and multi-agent operation.</strong> Persistent agents need replay surfaces, validity checks, and bounded credit rules before memory compression, routing, or delegation can be trusted.</li>
<li><strong>Persistent semantics, ontology drift, and provenance -> transfer, deployment, governance, and public accountability.</strong> Governance and deployment cannot remain stable if meanings, records, or institutional interfaces drift without provenance controls.</li>
<li><strong>Verification, auditability, and evaluation bounds -> transfer, deployment, governance, and public accountability.</strong> Release, certification, and deployment claims require replayable evidence and explicit evaluation bounds rather than informal confidence.</li>
<li><strong>Long-running agents, memory limits, and multi-agent operation -> transfer, deployment, governance, and public accountability.</strong> Deployment rules depend on what persistent agent systems can actually remember, coordinate, and verify over long horizons.</li>
</ul>
</section>
<section class="container section-copy" id="read-paths" aria-labelledby="read-paths-heading">
<h2 id="read-paths-heading">Read Paths by Audience</h2>
<div class="route-grid">
<article class="route-card">
<h3>First-Time Human Reader</h3>
<p class="route-audience">Use this path if you need a compact orientation before reading papers.</p>
<ol>
<li><a href="https://kadubon.github.io/github.io/">Home</a></li>
<li><a href="https://kadubon.github.io/github.io/research-map.html">Research Map</a></li>
<li><a href="https://kadubon.github.io/github.io/no-meta-observable-index.html">No-Meta / Observable-Only Series Index</a></li>
<li><a href="https://kadubon.github.io/github.io/auditability-replay-fail-closed-ai.html">Auditability, Replay, and Fail-Closed AI Systems</a></li>
<li><a href="https://kadubon.github.io/github.io/self-concealing-information-observer-modifying-dynamics.html">Self-Concealing Information and Observer-Modifying Dynamics</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html">Works</a></li>
</ol>
</article>
<article class="route-card">
<h3>Engineer / Systems Builder</h3>
<p class="route-audience">Use this path if your main question is how to build or constrain persistent agent systems.</p>
<ol>
<li><a href="https://kadubon.github.io/github.io/research-map.html">Research Map</a></li>
<li><a href="https://kadubon.github.io/github.io/auditability-replay-fail-closed-ai.html">Auditability, Replay, and Fail-Closed AI Systems</a></li>
<li><a href="https://kadubon.github.io/github.io/long-running-agents-memory-multi-agent-reasoning.html">Long-Running Agents, Memory Limits, and Multi-Agent Reasoning</a></li>
<li><a href="https://kadubon.github.io/github.io/provenance-records-semantic-interfaces.html">Provenance, Records, and Semantic Interfaces</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-03-03-metrology-theoretic-epistemics-engine-mte-observ-18845340">Metrology-Theoretic Epistemics Engine (MTE)</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-03-18-counterfactually-auditable-lifecycle-certificati-19089134">Counterfactually Auditable Lifecycle Certification for Autonomous Agents</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-17-small-to-frontier-transfer-theory-for-agentic-a-19619480">Small-to-Frontier Transfer Theory for Agentic AI</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-25-executable-authority-migration-to-declared-no-meta-agency-19753529">Executable Authority Migration to Declared No-Meta Agency</a></li>
</ol>
</article>
<article class="route-card">
<h3>Policy / Governance Reader</h3>
<p class="route-audience">Use this path if your main question is certification, release policy, transfer, or public accountability.</p>
<ol>
<li><a href="https://kadubon.github.io/github.io/research-map.html">Research Map</a></li>
<li><a href="https://kadubon.github.io/github.io/no-meta-observable-index.html">No-Meta / Observable-Only Series Index</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-01-constitutional-observable-invention-without-meta-19363526">Constitutional Observable Invention without Meta-Evaluators</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-05-a-typed-dynamic-no-meta-theory-of-autonomous-res-19427818">A Typed, Dynamic, No-Meta Theory of Autonomous Research Claim Certification and Release</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-07-standing-layer-honest-public-standing-dynamics-f-19447443">Standing-Layer Honest Public Standing Dynamics for Research Claims</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-16-bayesian-capability-transport-disclosure-channel-19601364">Bayesian Capability Transport, Disclosure Channels, and Strategic Institutions for Autonomous Agents</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-17-small-to-frontier-transfer-theory-for-agentic-a-19619480">Small-to-Frontier Transfer Theory for Agentic AI</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-25-executable-authority-migration-to-declared-no-meta-agency-19753529">Executable Authority Migration to Declared No-Meta Agency</a></li>
</ol>
</article>
<article class="route-card">
<h3>AI Agent / Machine Parser</h3>
<p class="route-audience">Use visible, site-local machine-readable summaries before inferring cross-page structure.</p>
<ol>
<li><a href="https://kadubon.github.io/github.io/research-map.html#canonical-synthesis-yaml">Research Map YAML</a></li>
<li><a href="https://kadubon.github.io/github.io/no-meta-observable-index.html#canonical-series-yaml">No-Meta Index YAML</a></li>
<li><a href="https://kadubon.github.io/github.io/llms.txt">llms.txt</a></li>
<li><a href="https://kadubon.github.io/github.io/llms-full.txt">llms-full.txt</a></li>
<li><a href="https://kadubon.github.io/github.io/works.html">Works</a></li>
<li><a href="https://kadubon.github.io/github.io/sitemap.xml">sitemap.xml</a></li>
</ol>
</article>
<article class="route-card">
<h3>Researcher Who Wants the Formal Foundations First</h3>
<p class="route-audience">Use this path if you want the formal stack before the governance or deployment layers.</p>
<ol>
<li><a href="https://kadubon.github.io/github.io/research-map.html">Research Map</a></li>
<li><a href="https://kadubon.github.io/github.io/self-improving-intelligence-foundations.html">Self-Improving Intelligence Foundations</a></li>
<li><a href="https://kadubon.github.io/github.io/theory-translation-comparative-mathematics.html">Theory Translation and Comparative Mathematics</a></li>
<li><a href="https://kadubon.github.io/github.io/propagation-front-dynamics-persistence.html">Propagation, Front Dynamics, and Persistence</a></li>
<li><a href="https://kadubon.github.io/github.io/self-concealing-information-observer-modifying-dynamics.html">Self-Concealing Information and Observer-Modifying Dynamics</a></li>
<li><a href="https://kadubon.github.io/github.io/auditability-replay-fail-closed-ai.html">Auditability, Replay, and Fail-Closed AI Systems</a></li>
</ol>
</article>
</div>
</section>
<section class="container machine-copy" id="entry-points" aria-labelledby="entry-points-heading">
<h2 id="entry-points-heading">Entry Points and Machine-Readable Navigation</h2>
<ul class="machine-list">
<li><a href="https://kadubon.github.io/github.io/">Home</a>: top-level human entry point and site profile page.</li>
<li><a href="https://kadubon.github.io/github.io/research-map.html">Research Map</a>: site-wide synthesis layer above the thematic cluster pages.</li>
<li><a href="https://kadubon.github.io/github.io/works.html">Works</a>: full publication index with stable anchors, abstracts, keywords, DOI links, and schema.org metadata.</li>
<li><a href="https://kadubon.github.io/github.io/no-meta-observable-index.html">No-Meta / Observable-Only Series Index</a>: canonical YAML field guide for the governance-focused series.</li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-25-executable-authority-migration-to-declared-no-meta-agency-19753529">Executable Authority Migration to Declared No-Meta Agency</a>: authority migration and runtime-assurance entry point for declared no-meta agency.</li>
<li><a href="https://kadubon.github.io/github.io/works.html#2026-04-17-small-to-frontier-transfer-theory-for-agentic-a-19619480">Small-to-Frontier Transfer Theory for Agentic AI</a>: upper-layer transfer and frontier-escalation entry point.</li>
<li><a href="https://kadubon.github.io/github.io/self-concealing-information-observer-modifying-dynamics.html">Self-Concealing Information and Observer-Modifying Dynamics</a>: entry page for drift, observer modification, and semantics.</li>
<li><a href="https://kadubon.github.io/github.io/auditability-replay-fail-closed-ai.html">Auditability, Replay, and Fail-Closed AI Systems</a>: entry page for certification, replay, and fail-closed control.</li>
<li><a href="https://kadubon.github.io/github.io/long-running-agents-memory-multi-agent-reasoning.html">Long-Running Agents, Memory Limits, and Multi-Agent Reasoning</a>: entry page for persistent operation under bounded context.</li>
<li><a href="https://kadubon.github.io/github.io/llms.txt">llms.txt</a> and <a href="https://kadubon.github.io/github.io/llms-full.txt">llms-full.txt</a>: machine-oriented site guides.</li>
<li><a href="https://kadubon.github.io/github.io/feed.xml">feed.xml</a>, <a href="https://kadubon.github.io/github.io/CITATION.cff">CITATION.cff</a>, and <a href="https://kadubon.github.io/github.io/sitemap.xml">sitemap.xml</a>: update polling, citation metadata, and crawl discovery.</li>
</ul>
</section>
<section class="container section-copy" id="non-goals" aria-labelledby="non-goals-heading">
<h2 id="non-goals-heading">Non-Goals / Boundary Conditions</h2>
<ul class="machine-list">
<li>This page is not a replacement for the original papers or cluster pages.</li>
<li>This page is not the complete publication inventory; use <a href="https://kadubon.github.io/github.io/works.html">works.html</a> for that function.</li>
<li>This page is not a survey of external literature and does not attempt to map the full external field.</li>
<li>This page is not a new theorem paper or a new formal system.</li>
<li>This page is not an exhaustive ontology of every page on the site; it curates the main pillars needed for orientation and parsing.</li>
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<p>Canonical site-wide synthesis page for the research program on auditable autonomous intelligence, no-meta governance, transfer, and deployment-relevant verification.</p>
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