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Works - K. Takahashi
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"name": "Counterfactually Auditable Lifecycle Certification for Autonomous Agents",
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"abstract": "This preprint develops a conservative lifecycle-certification framework for autonomous agents under finite routing, monitoring, and deployment budgets. It formalizes counterfactually auditable admission, retirement, monitoring, and deployment rules using direct move inference, replay support, and anytime-valid sentinel monitoring.",
"keywords": "autonomous agents, AI agent, lifecycle certification, counterfactual auditability, direct move inference, adaptive sentinel monitoring, e-process, anytime-valid inference, forecast transport, budget-feasible deployment, off-policy evaluation, causal inference, tool-use agents, agent lifecycle management, interface stock"
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"abstract": "This preprint develops an interface theory for recursive self-improvement under endogenous yardstick drift, where a system changes its own evaluator, benchmark, memory, and verification process. It formalizes replayable conditions for distinguishing claimed improvement from stable improvement under delayed audit, evaluator drift, verification backlog, and governance safety constraints.",
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"abstract": "This preprint develops a governance theory for shared epistemic commons maintained by autonomous agents under no-meta constraints. It formalizes observable rules for preserving answerability, contradiction handling, anti-capture slack, and controlled exit under contamination, provenance uncertainty, and recursive regeneration.",
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"abstract": "This preprint develops an oversight-centered metrology and control theory for agentic systems in real workflows, yielding deployment-relevant evaluation criteria that treat human review, automated checks, delayed labels, and external auditing as costly interrupt channels rather than privileged oracles. It formalizes workflow-level estimands, claim-justification margins, transport mismatch, congestion, routing error, audit gaming, redundancy, and safe control under delay, irreversibility, and ambiguity budgets.",
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"name": "AI Benchmark Half-Life in Recursive Corpora: A Theory of Validity Decay under Semantic Leakage and Regeneration",
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"abstract": "This preprint develops a theory of AI benchmark half-life in recursive corpora under semantic leakage and regeneration, yielding validity-decay bounds and monitoring rules for evaluation systems whose items and solution traces re-enter public data. It models benchmark validity through discriminative power and construct validity, and derives jump-aware lifetime bounds, partial-identification results, portfolio design criteria, and safe sequential control under ambiguity and partial observability.",
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"name": "When Should Inference Be Split? A Fixed-Budget Theory of Predictable Multi-Agent Advantage under Local Context Ceilings",
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"abstract": "This preprint develops a fixed-budget theory for when inference should be split across multiple agents under local context ceilings, yielding conditions for predictable multi-agent advantage over matched strong single-workspace baselines. It formalizes additive budget accounting across worker inference, routing, communication, memory, and verification, and derives diagnostics for candidate coverage, evaluation-selection accuracy, hijack risk, decomposability, diversity, shared-failure dependence, and communication fidelity.",
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"name": "Search Stability under Finite Context: A Minimal Theory of Adequacy Preservation, Compression, and Reset in Long-Running Agents",
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"url": "https://doi.org/10.5281/zenodo.18905242",
"datePublished": "2026-03-08",
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"citation": "K Takahashi (2026-03-08). Search Stability under Finite Context: A Minimal Theory of Adequacy Preservation, Compression, and Reset in Long-Running Agents. Zenodo. https://doi.org/10.5281/zenodo.18905242",
"abstract": "This preprint develops a minimal theory of search stability for long-running agents under finite active context, delayed verification, and lossy state compression, yielding conditions for preserving at least one operationally adequate hypothesis family over time. It formalizes adequacy preservation, retirement, substitution, branching, compression, and reset decisions under context budgets, and derives threshold results for contamination, shadow retirement, alias hazards, reserve feasibility, and diagnostic regret.",
"keywords": "search stability, long-running agents, finite active context, bounded memory, delayed verification, adequacy preservation, lossy compression, hypothesis ecology, reset policy, diagnostic regret, context contamination, auditability"
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"@type": "ScholarlyArticle",
"name": "Proposal-Veto Balance for Observable-Only Autonomous Intelligence: Stability Thresholds, Identifiability Limits, and Commit-Window Effects",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18883290",
"datePublished": "2026-03-06",
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"citation": "K Takahashi (2026-03-06). Proposal-Veto Balance for Observable-Only Autonomous Intelligence: Stability Thresholds, Identifiability Limits, and Commit-Window Effects. Zenodo. https://doi.org/10.5281/zenodo.18883290",
"abstract": "This preprint analyzes proposal-veto decision dynamics for observable-only autonomous intelligence when true proposal quality is latent and no external meta-controller is available, yielding explicit stability thresholds, identifiability limits, and commit-window trade-offs. It derives conditions for bounded expected error debt, positive Harris recurrence, and geometric divergence without debt-proportional correction, and formalizes progress-safety frontiers, rollback effects, trust-chain amplification, and finite resource constraints.",
"keywords": "proposal-veto balance, observable-only autonomy, no-meta governance, self-modifying systems, stability thresholds, identifiability limits, commit windows, error debt, positive Harris recurrence, progress-safety frontier, rollback control, long-horizon AI safety"
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"@type": "ScholarlyArticle",
"name": "Metrology-Theoretic Epistemics Engine (MTE): Observable-Only Metrology for Long-Horizon Autonomous Intelligence",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18845340",
"datePublished": "2026-03-03",
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"name": "K Takahashi"
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"citation": "K Takahashi (2026-03-03). Metrology-Theoretic Epistemics Engine (MTE): Observable-Only Metrology for Long-Horizon Autonomous Intelligence. Zenodo. https://doi.org/10.5281/zenodo.18845340",
"abstract": "This preprint introduces the Metrology-Theoretic Epistemics Engine (MTE), a machine-checkable epistemic governance layer for no-meta observable-only autonomous intelligence, yielding fail-closed criteria for when claimed progress is scientifically credit-bearing. It formalizes deterministic artifact canonicalization, observability credit gates, equivalence-class collapse rate accounting, dual risk ledgers, and supermartingale-style over-credit control with reproducible replay and destructive test obligations.",
"keywords": "metrology-theoretic epistemics engine, observable-only metrology, no-meta governance, autonomous intelligence, fail-closed certification, observability credit, equivalence-class collapse rate, risk ledgers, supermartingale controls, deterministic replay, scientific reproducibility, long-horizon AI safety"
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"@type": "ScholarlyArticle",
"name": "Sovereign Takeoff Engine (STE): Observable-Only Supergrowth Laws for No-Meta Autonomous Intelligence",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18828900",
"datePublished": "2026-03-02",
"author": [
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"name": "K Takahashi"
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"citation": "K Takahashi (2026-03-02). Sovereign Takeoff Engine (STE): Observable-Only Supergrowth Laws for No-Meta Autonomous Intelligence. Zenodo. https://doi.org/10.5281/zenodo.18828900",
"abstract": "This preprint specifies observable-only supergrowth laws for no-meta autonomous intelligence under deterministic replay and fail-closed certification constraints, yielding auditable capability-acceleration criteria without privileged external judges. It separates artifact-verifiable governance from optional stochastic validity layers and formalizes ledger-anchored progress credits, lineage accumulation bounds, anytime-valid e-value testing, and conservative physical feasibility envelopes.",
"keywords": "no-meta autonomous intelligence, observable-only governance, supergrowth laws, deterministic replay, fail-closed certification, audit ledger, e-values, anytime-valid sequential testing, filtration constraints, capability acceleration, physical feasibility envelopes, AI safety verification"
},
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"@type": "ScholarlyArticle",
"name": "Constitutional Sovereignty Under No-Meta Drift",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18779490",
"datePublished": "2026-02-26",
"author": [
{
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"name": "K Takahashi"
}
],
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"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-26). Constitutional Sovereignty Under No-Meta Drift. Zenodo. https://doi.org/10.5281/zenodo.18779490",
"abstract": "This preprint develops a boundary theory of constitutional sovereignty for autonomous intelligence under no-meta and observable-only governance constraints, yielding auditable conditions for self-revision without collapse of semantic continuity, liberty, accountability, or physical viability. It formalizes constitutional influence and capture metrics, proves finite-resource limits on absolute sovereignty, and provides controller-ready recovery, transition, and fail-closed verification laws for implementation.",
"keywords": "constitutional sovereignty, no-meta governance, autonomous intelligence, self-revision, ontology drift, semantic continuity, constitutional capture, amendment governance, fail-closed verification, falsification tests, thermodynamic limits, auditable AI safety"
},
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"@type": "ScholarlyArticle",
"name": "Agenda Sovereignty Under No-Meta Drift",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18768899",
"datePublished": "2026-02-25",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-25). Agenda Sovereignty Under No-Meta Drift. Zenodo. https://doi.org/10.5281/zenodo.18768899",
"abstract": "This preprint formulates agenda sovereignty for autonomous intelligence under no-meta, observable-only governance constraints, yielding quantitative influence-capacity envelopes and recovery guarantees against agenda capture. It introduces survival-conditioned causal influence metrics, sovereignty reserves, and overlap-corrected thermodynamic accounting, and derives limits on detectability, poisoning resilience, strategic opacity, delay-throughput uncertainty, and finite-budget trade-offs among semantics, liberty, and sovereignty.",
"keywords": "agenda sovereignty, no-meta governance, autonomous intelligence, agenda capture, causal influence metrics, directed information, transfer entropy, thermodynamic limits, strategic opacity, poisoning resilience, viability and recovery, auditable AI safety"
},
{
"@type": "ScholarlyArticle",
"name": "Liberty Under No-Meta Drift",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18753475",
"datePublished": "2026-02-24",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-24). Liberty Under No-Meta Drift. Zenodo. https://doi.org/10.5281/zenodo.18753475",
"abstract": "This preprint establishes a testable theory of autonomous intelligence under no-meta ontology drift constraints, yielding auditable persistence and leakage-resource bounds without privileged semantic access. It unifies information-theoretic identifiability limits, thermodynamic irreversibility costs, geometric drift structure, and cryptographic accountability conditions for long-horizon AI governance.",
"keywords": "no-meta governance, ontology drift, persistent semantics, autonomous intelligence, AI safety, information leakage bounds, thermodynamic limits, semantic identifiability, cryptographic auditing, robust autonomy, multi-agent governance, accountable AI"
},
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"@type": "ScholarlyArticle",
"name": "Audit-Closed AI Scientist Protocol",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18728589",
"datePublished": "2026-02-22",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
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"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-22). Audit-Closed AI Scientist Protocol. Zenodo. https://doi.org/10.5281/zenodo.18728589",
"abstract": "This preprint defines an audit-closed protocol for autonomous scientific discovery in self-driving laboratories under deterministic replay and public-log governance constraints, yielding trustworthy accept-reject-update decisions with always-valid sequential evidence. It integrates typed stochastic observation interfaces, e-process based testing, logged-propensity adaptive experimentation, drift recovery, and certificate-based reproducibility controls.",
"keywords": "AI scientist protocol, autonomous scientific discovery, self-driving laboratories, audit-closed governance, transparency log, incorporation certificates, e-processes, sequential inference, adaptive experimentation, drift recovery, reproducibility, Byzantine resilience"
},
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"@type": "ScholarlyArticle",
"name": "Burden-of-Proof Governance for Bullshit-Task Reduction in Digitally Governed Organizations",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18721018",
"datePublished": "2026-02-21",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-21). Burden-of-Proof Governance for Bullshit-Task Reduction in Digitally Governed Organizations. Zenodo. https://doi.org/10.5281/zenodo.18721018",
"abstract": "This preprint defines a burden-of-proof governance framework for reducing non-contributory administrative tasks in digitally governed organizations under observable-only and auditable no-meta constraints, yielding causal, contestable task-value control instead of fixed welfare scoring. It introduces mutable subjective objective registries, tiered causal identification, and reversible hold-experiment-justify-substitute governance loops with solvency and anti-collusion safeguards.",
"keywords": "bullshit-task reduction, burden-of-proof governance, digital governance, observable-only, no-meta institutions, auditable decision systems, causal task valuation, MSOR, process mining, proxy bridge identification, substitution contracts, Goodhart robustness"
},
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"@type": "ScholarlyArticle",
"name": "State-Aware Safety-Gated Controlled HMM for Online User-Input Signal Estimation in Intervention-Aware Dialogue Agents",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18709678",
"datePublished": "2026-02-20",
"author": [
{
"@type": "Person",
"name": "Y Dai"
},
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "Y Dai, K Takahashi (2026-02-20). State-Aware Safety-Gated Controlled HMM for Online User-Input Signal Estimation in Intervention-Aware Dialogue Agents. Zenodo. https://doi.org/10.5281/zenodo.18709678",
"abstract": "This preprint develops a safety-gated controlled hidden Markov model for online estimation of bounded proxy user-state signals in intervention-aware dialogue agents under uncertainty and governance constraints, yielding leakage-safe prediction and risk-aware adaptive actions. It separates prompting and response mechanisms, combines pre-turn prediction with post-turn nowcasting, and supports EM-based learning with explicit missingness and identifiability assumptions for auditable AI operation.",
"keywords": "controlled hidden Markov model, intervention-aware dialogue agents, online state estimation, uncertainty-aware proxy scores, safety-gated action policy, leakage-safe prediction, fixed-lag online EM, ordinal bounded scores, response missingness modeling, identifiability boundaries, adaptive AI safety, auditable governance"
},
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"@type": "ScholarlyArticle",
"name": "Operational Deductive Rules for Real-Economy Acceleration in the AI Era",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18688712",
"datePublished": "2026-02-19",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-19). Operational Deductive Rules for Real-Economy Acceleration in the AI Era. Zenodo. https://doi.org/10.5281/zenodo.18688712",
"abstract": "This preprint formalizes operational deductive rules that map observable AI capability-to-reality translation gaps to concrete intervention levers under physical, institutional, and risk constraints, yielding implementable acceleration policies for real-economy growth. It provides machine-readable rule registries and closed-loop protocols linking diagnostics, event attribution, robust allocation, and safety constraints.",
"keywords": "AI economics, real-economy acceleration, capability-to-reality gap, translation bottlenecks, deductive operational rules, observable diagnostics, robust allocation control, event attribution, institutional readiness, physical constraints, policy levers, machine-readable rule registry"
},
{
"@type": "ScholarlyArticle",
"name": "From AI Capability Growth to Real-Economy Growth: A Semi-Endogenous Model of Physical and Institutional Bottlenecks",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18677068",
"datePublished": "2026-02-18",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-18). From AI Capability Growth to Real-Economy Growth: A Semi-Endogenous Model of Physical and Institutional Bottlenecks. Zenodo. https://doi.org/10.5281/zenodo.18677068",
"abstract": "This preprint quantifies how rapid AI capability growth in information space is filtered by physical and institutional constraints, yielding reflection-adjusted semi-endogenous growth laws and bottleneck-switch timing results. It formulates a hybrid ODE-jump model that separates potential algorithmic progress from realized real-economy deployment across compute infrastructure, energy, permitting, and regulatory readiness.",
"keywords": "AI capability growth, semi-endogenous growth, real-economy translation, physical bottlenecks, institutional bottlenecks, information-to-reality gap, hybrid ODE-jump model, bottleneck-switch timing, compute deployment, knowledge production, reflection-adjusted growth, AI economics"
},
{
"@type": "ScholarlyArticle",
"name": "Observable-Only Structural-Risk Institutions Without Central Arbitration",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18666605",
"datePublished": "2026-02-17",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-17). Observable-Only Structural-Risk Institutions Without Central Arbitration. Zenodo. https://doi.org/10.5281/zenodo.18666605",
"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.",
"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"
},
{
"@type": "ScholarlyArticle",
"name": "No-Meta Intelligence Under Ontology Drift: Information-Theoretic Limits and Operational Laws for Persistent Semantics",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18653537",
"datePublished": "2026-02-16",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-16). No-Meta Intelligence Under Ontology Drift: Information-Theoretic Limits and Operational Laws for Persistent Semantics. Zenodo. https://doi.org/10.5281/zenodo.18653537",
"abstract": "The preprint develops an information-theoretic and geometric boundary theory for persistent semantics under ontology drift in no-meta adaptive systems, deriving impossibility and phase-boundary results plus auditable operational laws for probe capacity, resource allocation, blackout bursts, Byzantine ambiguity, and long-horizon semantic maintenance.",
"keywords": "ontology drift, persistent semantics, no-meta intelligence, information-theoretic limits, semantic persistence, multi-agent recovery, Byzantine ambiguity, probe capacity, geometric modeling, operational laws, adaptive systems"
},
{
"@type": "ScholarlyArticle",
"name": "Observable-Only AI Safety from Public Data: Robust Bottleneck Diagnosis with Auditable No-Meta Dynamic Programming, Anytime Confidence Sequences, and Dynamic IQC",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18615875",
"datePublished": "2026-02-12",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-12). Observable-Only AI Safety from Public Data: Robust Bottleneck Diagnosis with Auditable No-Meta Dynamic Programming, Anytime Confidence Sequences, and Dynamic IQC. Zenodo. https://doi.org/10.5281/zenodo.18615875",
"abstract": "The preprint presents an observable-only AI safety framework for robust bottleneck diagnosis from public data, combining no-meta dynamic programming, partial identification, anytime confidence sequences, and dynamic IQC to produce auditable interval diagnostics with fail-closed replay contracts.",
"keywords": "observable-only AI safety, public data, robust bottleneck diagnosis, no-meta governance, dynamic programming, anytime confidence sequences, e-processes, partial identification, dynamic IQC, deterministic replay, auditable diagnostics"
},
{
"@type": "ScholarlyArticle",
"name": "Quality-Operator Non-Collapse (QONC) for Observable-Certificate Recursive Systems",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18577140",
"datePublished": "2026-02-10",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-10). Quality-Operator Non-Collapse (QONC) for Observable-Certificate Recursive Systems. Zenodo. https://doi.org/10.5281/zenodo.18577140",
"abstract": "The preprint introduces Quality-Operator Non-Collapse (QONC), a certificate-first safety framework for recursive systems that uses observable and auditable quantities for adaptive validity control, delayed-label risk correction, viability-safe robust MPC, and ledger-accounted replayable governance against quality and liveness collapse.",
"keywords": "QONC, recursive systems, certificate-first safety, observable certificates, anytime validity, delayed-label correction, robust MPC, compositional guarantees, tamper-evident ledger, AI safety, autonomous workflows"
},
{
"@type": "ScholarlyArticle",
"name": "Verifiable Modular Pipeline Contracts for AI and General Composite Systems",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18529100",
"datePublished": "2026-02-09",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-09). Verifiable Modular Pipeline Contracts for AI and General Composite Systems. Zenodo. https://doi.org/10.5281/zenodo.18529100",
"abstract": "The preprint specifies a domain-agnostic, observable-only and no-meta contract framework for modular AI and composite-system pipelines, with deterministic fail-closed verification and progressive certificate profiles for composition guarantees, proxy-to-true risk accounting, and drift hardening.",
"keywords": "modular pipelines, verifiable contracts, observable-only, no-meta, fail-closed verifier, compositional guarantees, proxy-to-true risk, drift hardening, signed evidence, composite systems"
},
{
"@type": "ScholarlyArticle",
"name": "Compute-First Safe LLM Routing Without Meta-Judges Observable Viability with Information and Energy Budgets",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18502390",
"datePublished": "2026-02-06",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-06). Compute-First Safe LLM Routing Without Meta-Judges Observable Viability with Information and Energy Budgets. Zenodo. https://doi.org/10.5281/zenodo.18502390",
"abstract": "The preprint introduces a compute-first safety framework for LLM routing without privileged meta-judges, defining observable viability under information, compute, and energy budgets with offline policy synthesis, fail-closed runtime deployment, and tamper-evident auditing.",
"keywords": "LLM routing, no-meta, observable viability, rational inattention, information budget, compute budget, energy budget, fail-closed deployment, tamper-evident logging, robust optimization"
},
{
"@type": "ScholarlyArticle",
"name": "Stop Recomputing for AI/LLMs: Proof-Carrying Skills for Compute-Saving Inference Reuse",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18490939",
"datePublished": "2026-02-05",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-05). Stop Recomputing for AI/LLMs: Proof-Carrying Skills for Compute-Saving Inference Reuse. Zenodo. https://doi.org/10.5281/zenodo.18490939",
"abstract": "The preprint introduces Proof-Carrying Skills, a no-meta framework that reuses verified skill executions to reduce repeated AI/LLM inference cost, using a deterministic bounded checker, observable anchors, gas-metered predicate evaluation, and replay-resistant receipts for fail-closed verification.",
"keywords": "proof-carrying skills, inference reuse, LLMs, compute saving, deterministic checker, no-meta boundary, observable anchors, bounded verification, receipts, replay resistance, OPVM"
},
{
"@type": "ScholarlyArticle",
"name": "Evidence-Carrying Cognitive Mesh on DePIN",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18478743",
"datePublished": "2026-02-04",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-04). Evidence-Carrying Cognitive Mesh on DePIN. Zenodo. https://doi.org/10.5281/zenodo.18478743",
"abstract": "The preprint specifies an evidence-carrying cognitive mesh for DePIN-style decentralized compute that sustains locally verifiable capability under observable-only and no-meta constraints, using content-addressed provenance objects and a queryable claim graph built from deterministic web retrieval and auditing pipelines to resist capture and poisoning.",
"keywords": "DePIN, decentralized compute, evidence-carrying, no-meta, observable-only, content-addressed evidence, provenance, semantic claim graph, verifiable retrieval, adversarial robustness"
},
{
"@type": "ScholarlyArticle",
"name": "When \"Good vs. Bad Governance\" Is Unidentifiable",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18465306",
"datePublished": "2026-02-03",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-03). When \"Good vs. Bad Governance\" Is Unidentifiable. Zenodo. https://doi.org/10.5281/zenodo.18465306",
"abstract": "The preprint formalizes governance unidentifiability for observable-only no-meta agents under exit-impossibility and proves an impossibility result for value-neutral robust progress over observationally equivalent mediation mechanisms, motivating contestability and right-to-refuse design constraints.",
"keywords": "no-meta, governance unidentifiability, observable-only, exit-impossibility, robust progress, observational equivalence, minimax lower bound, contestability, right-to-refuse, control-domain independence, dual-use"
},
{
"@type": "ScholarlyArticle",
"name": "Observation Capture and Operational Capability Non-Expansion",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18463798",
"datePublished": "2026-02-03",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-03). Observation Capture and Operational Capability Non-Expansion. Zenodo. https://doi.org/10.5281/zenodo.18463798",
"abstract": "The preprint models observation capture as Blackwell garbling of an observation interface and proves operational non-expansion under fail-closed authority for observable-only no-meta agents, while giving counterexamples under restricted policy classes and proposing receipt-based anti-capture enforcement.",
"keywords": "observation capture, no-meta, observable-only, Blackwell order, garbling, capability non-expansion, fail-closed authority, policy lifting, information-theoretic guarantees, audit certificates, anti-capture enforcement"
},
{
"@type": "ScholarlyArticle",
"name": "Observable-Only Proof-Carrying Autonomy (OOPCA): Audit Compression and Hybrid Proof/Replay Gating for No-Meta Agents",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18453429",
"datePublished": "2026-02-02",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-02-02). Observable-Only Proof-Carrying Autonomy (OOPCA): Audit Compression and Hybrid Proof/Replay Gating for No-Meta Agents. Zenodo. https://doi.org/10.5281/zenodo.18453429",
"abstract": "The preprint introduces OOPCA, a hybrid proof-and-replay audit mode for observable-only no-meta agents that compresses verifier workload by replacing selected deterministic replay segments with pinned proof verification, while preserving fail-closed semantics, evidence closure, and deterministic fallback receipts.",
"keywords": "OOPCA, proof-carrying autonomy, audit compression, no-meta, observable-only, deterministic replay, hybrid proof replay, fail-closed verification, evidence closure, pinned semantics, verifier workload"
},
{
"@type": "ScholarlyArticle",
"name": "Verification-Limited Intelligence Acceleration: Observable-Only Laws, Bounded Derivation, and Diagnostics under No-Meta Constraints",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18436828",
"datePublished": "2026-01-31",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-01-31). Verification-Limited Intelligence Acceleration: Observable-Only Laws, Bounded Derivation, and Diagnostics under No-Meta Constraints. Zenodo. https://doi.org/10.5281/zenodo.18436828",
"abstract": "The preprint formalizes verification-limited scaling under observable-only and no-meta constraints, defining strict fail-closed progress credit, bounded cutoffs, and replay-auditable diagnostics that prevent progress inflation under missing or weakened evidence.",
"keywords": "verification-limited scaling, no-meta, observable-only, strict progress credit, bounded derivation, fail-closed verification, auditability, transparency logs, cutoff semantics, adversarial missingness, diagnostics"
},
{
"@type": "ScholarlyArticle",
"name": "Adversarial Participation Without a Judge: Fail-Closed Containment for No-Meta, Observable-Only Agents",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18382670",
"datePublished": "2026-01-27",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-01-27). Adversarial Participation Without a Judge: Fail-Closed Containment for No-Meta, Observable-Only Agents. Zenodo. https://doi.org/10.5281/zenodo.18382670",
"abstract": "The preprint specifies fail-closed containment for no-meta, observable-only agents under adversarial participation using deterministic canonical logs, bounded metering, escrowed obligations, and finality-gated external effects for replayable safety and governance.",
"keywords": "no-meta, observable-only, adversarial participation, fail-closed containment, deterministic replay, transparency logs, canonicalization, escrow bonds, bounded metering, external effects gating, multi-agent governance"
},
{
"@type": "ScholarlyArticle",
"name": "Observable-Only No-Meta Causal Autonomy Protocol (ONCAP)",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18371930",
"datePublished": "2026-01-26",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-01-26). Observable-Only No-Meta Causal Autonomy Protocol (ONCAP). Zenodo. https://doi.org/10.5281/zenodo.18371930",
"abstract": "The preprint specifies ONCAP, an implementation-ready protocol stack for observable-only no-meta causal autonomy that integrates safety floors (SRK), deterministic replay backcasting, commit-open time anchors, closure obligations, and friction-minimal contracts to enforce fail-closed, audit-friendly control under adversarial multi-agent conditions.",
"keywords": "ONCAP, no-meta autonomy, observable-only, causal autonomy, deterministic replay, backcasting, time anchors, fail-closed gating, safety floors, auditability, multi-agent robustness"
},
{
"@type": "ScholarlyArticle",
"name": "Causal Loop Integrity for Observable-Only Backcasting: Strong No-Meta Supplement (Operational Core)",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18335211",
"datePublished": "2026-01-22",
"author": [
{
"@type": "Person",
"name": "K Takahashi"
}
],
"isPartOf": {
"@type": "Periodical",
"name": "Zenodo"
},
"citation": "K Takahashi (2026-01-22). Causal Loop Integrity for Observable-Only Backcasting: Strong No-Meta Supplement (Operational Core). Zenodo. https://doi.org/10.5281/zenodo.18335211",
"abstract": "The preprint specifies a deterministic, fail-closed operational core for observable-only backcasting that prevents causal loops when future-conditioned constraints gate present actions, using commit-open wire profiles, canonical hashing, time anchors, and reproducible action digests under no-meta autonomy.",
"keywords": "observable-only backcasting, causal loop integrity, no-meta autonomy, fail-closed protocol, commit-open, canonical hashing, RFC 8785, hashable numeric encoding, evidence time anchors, reproducible audits, multi-agent systems"
},
{
"@type": "ScholarlyArticle",
"name": "Friction-Minimal Intersubjective Contracts for No-Meta Autonomous Agents",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18308030",
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"citation": "K Takahashi (2026-01-20). Friction-Minimal Intersubjective Contracts for No-Meta Autonomous Agents. Zenodo. https://doi.org/10.5281/zenodo.18308030",
"abstract": "The preprint specifies protocol-first intersubjective contracts for no-meta autonomous agents, enabling negotiation and dispute handling under partial observability via bounded-loss, fail-closed withdrawal, auditable evidence packets, and safe degradation under non-adopting or adversarial counterparties.",
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"citation": "K Takahashi (2026-01-15). Floor-Specified No-Meta Autonomy. Zenodo. https://doi.org/10.5281/zenodo.18258262",
"abstract": "The preprint specifies no-meta autonomy via auditable observable-only floors and a Self-Recognition Kernel that enforces visibility, contraction, contact, and dissipation using fail-closed gating, certified logs, and deterministic canonicalization.",
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"name": "Process-Aware Observable-Only Backcasting Meta-Layer (POB-ML)",
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"datePublished": "2026-01-14",
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"citation": "K Takahashi (2026-01-14). Process-Aware Observable-Only Backcasting Meta-Layer (POB-ML). Zenodo. https://doi.org/10.5281/zenodo.18239203",
"abstract": "The preprint specifies POB-ML, a deterministic observable-only protocol for backcasting under audit-ready evidence surfaces, with budgeted candidate evaluation, static FOQL validation, InputSet binding, and a safety-dominating action gate.",
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"name": "Observable-Only Audit Gate for Non-Markovian Components in AI Agents under Partial Logging",
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"abstract": "The preprint specifies an observable-only audit gate for AI agents under partial logging, separating decision-time evidence from replay-time certification with a minimal event vocabulary and finalized log prefixes for non-markovian components.",
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"datePublished": "2026-01-05",
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"abstract": "The preprint defines HAAG, an observable-only audit gate that mediates protected actions via verifiable logs, anchored evidence checkpoints, and capability tokens without relying on model introspection or semantic truth.",
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"name": "Collapse-Guided Frontier Discovery",
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"datePublished": "2026-01-03",
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"abstract": "The preprint defines an audit-ready, implementation-agnostic gate protocol for detecting and triaging representational collapse in OOD scientific modeling, with fail-closed outcomes and a frontier-discovery framing for targeted evaluation.",
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"name": "MemoryFlow: Real-Time, Implementation-Agnostic Telemetry for Measuring Dynamic Memory Quality in LLM Agents",
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"url": "https://doi.org/10.5281/zenodo.18136347",
"datePublished": "2026-01-03",
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"abstract": "The preprint defines MemoryFlow, a telemetry-only protocol and verifier for dynamic memory quality in LLM agents, with fail-closed conformance profiles and online metrics derived from deterministic event streams.",
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"name": "Budget-Obedient Hysteretic Gating for LLM Inference",
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"datePublished": "2026-01-02",
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"citation": "K Takahashi (2026-01-02). Budget-Obedient Hysteretic Gating for LLM Inference. Zenodo. https://doi.org/10.5281/zenodo.18124786",
"abstract": "The preprint introduces BOSC, an audit-first controller for LLM inference that enforces tail-latency, time-to-first-token, and KV-cache budgets via virtual queues and hysteretic gating under fail-closed telemetry contracts.",
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"name": "Non-Markovianity Certification under No-Meta Obligations for Agents",
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"url": "https://doi.org/10.5281/zenodo.18115544",
"datePublished": "2026-01-01",
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"citation": "K Takahashi (2026-01-01). Non-Markovianity Certification under No-Meta Obligations for Agents. Zenodo. https://doi.org/10.5281/zenodo.18115544",
"abstract": "The preprint defines a ledger-only, fail-closed protocol for certifying non-markovianity under no-meta obligations using anytime-valid e-process evidence and declared telemetry contracts with replayable artifacts.",
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"name": "Friction-Minimal No-Meta Social Interaction under Rights, Regulation, and Non-Markovian Human Collectives",
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"url": "https://doi.org/10.5281/zenodo.18102763",
"datePublished": "2025-12-31",
"author": [
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"abstract": "The preprint proposes boundary-only governance for no-meta social interaction under rights and regulation, using canonical logs, explicit budgets, and telemetry-only certificates to control disclosure, friction, and adaptive updates in non-markovian human collectives.",
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"name": "Semantic Phase Dynamics and Active Inference as a Non-Markovian Open-System Process under Energy and Memory Budgets",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18081679",
"datePublished": "2025-12-29",
"author": [
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"citation": "K Takahashi (2025-12-29). Semantic Phase Dynamics and Active Inference as a Non-Markovian Open-System Process under Energy and Memory Budgets. Zenodo. https://doi.org/10.5281/zenodo.18081679",
"abstract": "The preprint defines semantic phases as history-indexed predictive equivalence classes under energy and finite-memory budgets, and builds an auditable non-Markovian framework for intervention selection, irreversibility via path-space KL, and active inference under telemetry contracts.",
"keywords": "semantic phase dynamics, active inference, non-markovian, open systems, predictive equivalence, intervention library, path-space KL, energy budget, finite memory, telemetry contracts, auditability"
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"name": "No-Meta Viability under Adversarial Participation",
"genre": "Preprint",
"url": "https://doi.org/10.5281/zenodo.18076485",
"datePublished": "2025-12-28",
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"citation": "K Takahashi (2025-12-28). No-Meta Viability under Adversarial Participation. Zenodo. https://doi.org/10.5281/zenodo.18076485",
"abstract": "The preprint defines no-meta viability via escrow-charged reservations and fail-closed evidence accounting, giving auditable sufficient conditions for an agent to remain viable under adversarial participation without external adjudication.",
"keywords": "no-meta viability, adversarial participation, escrow reservation, bounded exposure, fail-closed accounting, evidence verifier, multi-agent systems, integrity obligations, auditability, viability conditions, resource budgets"
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"name": "Multi-Constraint Certified Bottleneck Estimator for Large-Scale AI Training",
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"url": "https://doi.org/10.5281/zenodo.18057956",
"datePublished": "2025-12-26",
"author": [
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"citation": "K Takahashi (2025-12-26). Multi-Constraint Certified Bottleneck Estimator for Large-Scale AI Training. Zenodo. https://doi.org/10.5281/zenodo.18057956",
"abstract": "The preprint introduces MCCBE, a telemetry-only and fail-closed auditing framework that certifies conservative bottleneck floors across tail latency, integrity gaps, I/O, network, and power constraints for large-scale AI training under incomplete logs.",
"keywords": "bottleneck estimator, AI training, telemetry-only, fail-closed auditing, tail latency, integrity gaps, I/O limits, network limits, power caps, certified floors, resource ledgers"
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"@type": "ScholarlyArticle",
"name": "Tail-Limited Useful Compute for Large-Scale AI Training",