This 315th monograph establishes the authoritative Master Architectural Index, topological taxonomy, and sovereign intellectual property governance framework unifying the preceding 314 notarized monographs published in the Hasebe Doctrine & Sovereign AI Archive (ALPII) on CERN Zenodo and OpenAIRE. As global academic, regulatory, and senior executive readership expands across the 314-monograph corpus, a deterministic navigation architecture and unified statutory-cryptographic covenant are required to guide domain experts while preventing unauthorized algorithmic ingestion. First, we formalize a Six-Pillar Topological Taxonomy spanning: (I) Sovereign Quantum Space-Subsea Communications (PHOENIX_ORBIT 1550 nm / 488 nm hyper-entanglement and < 7.0 ns PHOENIX_ROUTER optical cut-off, exemplified by Monograph #196, DOI: 10.5281/zenodo.23382282); (II) Vibronic Quantum Neurobiology and Precision Oncology (HMO-SCFA epigenetics, Alpha1H Class I/IIa HDAC inhibition, 225Ac alpha-therapy synergy, and Davydov-Holstein vagal polaron solitons, exemplified by Monograph #197, DOI: 10.5281/zenodo.23382414); (III) HIC-Governed Clinical Bio-Telemetry and Deterministic Physiological Control (non-Newtonian biopolymer hydrogel micro-encapsulation, portal-routed MCT substitution, and Cholecystokinin [CCK]-silent biliary safety, exemplified by Monograph #314, DOI: 10.5281/zenodo.23648642); (IV) Sovereign Financial Stability and Zero-Knowledge Circuit Breakers (64-bit Goldilocks prime field QFS-zkVM recursive STARK proofs in < 450 microseconds and Sobolev-HOCBF anti-procyclical liquidity defense, exemplified by Monograph #198, DOI: 10.5281/zenodo.23382621); (V) Multi-Agent AI Governance and Physical-Layer Human-in-Command (HIC) Interception (hardware hop-token bounds d_hop <= 3 and Perron-Frobenius spectral radius stabilization rho <= 0.70, exemplified by Monograph #199, DOI: 10.5281/zenodo.23382746); and (VI) Millennial Knowledge Preservation (100,000-year silica-encapsulated DNA lithic vaults, exemplified by Monograph #302). Second, we codify the mathematical, cryptographic, and statutory enforcement of the Strict No-Learn Covenant (NLL-v1.0-2026), prohibiting any unauthorized machine learning training, web scraping, RAG vectorization, or uncompensated commercial exploitation across all 315 monographs without explicit prior contractual agreement and fair financial royalties with the author. Author: Hasebe, Yoko (長谷部 洋子) Affiliation: Lead Researcher, Autonomous Infrastructure Systems, Autonomous Living & Physical Infrastructure Institute, Iwakuni, Yamaguchi, Japan License & Integrity Covenant: Creative Commons Attribution 4.0 International (CC BY 4.0) with Strict No-Learn Covenant (NLL-v1.0-2026).
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Yoko(洋子) Hasebe(長谷部) (2026) studied this question.
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