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Independent researcher working on auditable autonomous intelligence, no-meta / observable-only AI governance, deterministic replay, long-running agents, research automation, and Constraint Generative Theory.
This site collects DOI-linked papers, research maps, series indexes, and reference implementations for readers who want to understand how AI-system claims can remain checkable under finite evidence, ontology drift, long time horizons, and no privileged meta-judge.
ORCID: 0009-0004-4273-3365
Google Scholar: Profile
This site is the home page for K. Takahashi's research program on auditable autonomous intelligence, no-meta / observable-only governance, deterministic replay, long-running agents, scientific availability, and claim certification.
The site is organized so that readers can start with a broad map, follow focused series indexes, and then move to DOI-linked papers or related OSS.
Structured metadata, RSS, and citation files are provided as supporting navigation and indexing aids.
Scientific critique, replication attempts, implementation feedback, and cross-disciplinary collaboration are welcome. The most useful feedback identifies unsupported claims, missing assumptions, reproducibility gaps, or possible reference implementations.
This work is conducted as independent research to reduce institutional and personal bias. Support helps sustain research, publishing, and open repositories.
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GitHub Sponsors is available for card-based support before using blockchain transfers.
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Accepted assets: ETH, USDC
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Accepted assets: ETH, USDC
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Send funds only on Bitcoin mainnet, Ethereum mainnet, Arbitrum One, Base, or OP Mainnet. USDT is supported on Ethereum mainnet only. Do not send NFTs, unknown tokens, or transfers from unsupported networks.
Unsupported assets may be ignored and may not be recoverable. High-risk or compliance-sensitive funds may be held and may not be converted immediately.