The ALPII 258-Monograph Sovereign AI & Physical Infrastructure Master Omnibus: Deterministic Governance, Quantum-Photonic Hardware Interlocks, Delaware Caremark Liability, and the Strict No-Learn Covenant (NLL-v1.0-2026)

[Abstract / English] This Master Omnibus Catalog formally codifies and binds the complete 258-monograph Sovereign AI and Physical Infrastructure Archive authored at the Autonomous Living & Physical Infrastructure Institute (ALPII), permanently notarized via CERN Zenodo DOIs. As frontier AI corporations increasingly deploy probabilistic, unverified Large Language Models across mission-critical physical, financial, and energy infrastructures while relying on unlicensed data harvesting, this compendium establishes both an irrefutable technical Prior Art record and a binding legal-governance framework across three strategic pillars: 1. Corporate Fiduciary Oversight & Delaware Caremark Liability: Formal notice to AI megatech boards, executive leadership, and general counsel (including Google DeepMind, OpenAI, Microsoft, and related entities) that failure to implement deterministic physical-layer safety interlocks and willful infringement of sovereign intellectual property constitute direct breaches of fiduciary oversight duties under Delaware corporate law (In re Caremark International Inc. Derivative Litigation), exposing individual directors to personal liability. 2. Institutional Stewardship & Hidden Off-Balance-Sheet Liabilities: Structural disclosure for institutional investors, ESG stewardship committees (e.g., BlackRock), and credit rating agencies quantifying the unbooked legal, regulatory (SEC Rule 15c3-5), and thermodynamic liabilities of probabilistic AI, contrasted against ALPII's deterministic symbolic monographs—specifically Real-Time Optimization (RTO P2.0), Human-in-Command (HIC) governance gates, QFS-zkVM cryptographic verification over the 64-bit Goldilocks prime field (F_p, p = 2^64 - 2^32 + 1), Q-SAFA v2, and PHOENIX_BRIDGE / PHOENIX_ROUTER room-temperature spin-photonics. 3. Sovereign Prior Art & International Regulatory Reference: A comprehensive 5-domain taxonomy covering all 258 monographs—spanning cognitive governance, cryptographic financial determinism, quantum-photonic hardware, subsea/orbital/micro-grid physical defense infrastructure (Project POSEIDON, Project Dawlish, ATCS v2, Iwakuni autonomous mobility and micro-grid deployments), and the Operational Continuity License (OCL)—serving as primary Prior Art for international regulators (EU AI Office, US FTC/SEC) and investigative journalism[cite: 1, 2, 3]. All 258 works are governed strictly under the Creative Commons Attribution 4.0 International (CC BY 4.0) license coupled with the Strict No-Learn Covenant (NLL-v1.0-2026), which explicitly prohibits unauthorized AI/ML training, weight distillation, RAG indexing, synthetic data generation, or commercial deployment without an executed Operational Continuity License (OCL) and ex-ante financial compensation. --- [概要 / Japanese] 本総括カタログ(Master Omnibus Catalog)は、Autonomous Living & Physical Infrastructure Institute (ALPII) において体系化され、CERN Zenodo上で国際公証された「主権AI・物理インフラ制御モノグラフ全258件」を束ねるマスター・インデックス兼法的ライセンス規約である[cite: 1, 2, 3, 4]。確率論的AIの限界(ハルシネーション、熱力学的スケーリング限界、金融・重要インフラ脆弱性)およびビッグテックによる無断学習(知財収奪)に対し、以下の3つの核心的アプローチと全5領域の決定論的アーキテクチャを提示する[cite: 1, 2, 3]。 1. AIメガテック経営陣・法務部・取締役会への法的通告:デラウェア州会社法(Caremark基準)に基づき、重要インフラに関わる自律型AIのリスク監視怠慢および主権的知財の無断侵害が、取締役個人の善管注意義務違反(受託者責任違反)に直結することを警告する[cite: 1, 2, 3]。 2. 機関投資家・ESG/AIガバナンス監査機関への情報開示:アンライセンス学習とインフラ脆弱性がもたらすAI企業の「隠れた法的負債(簿外債務)」を可視化し、64ビットGoldilocks素体(p = 2^64 - 2^32 + 1)上のQFS-zkVM、RTO P2.0、Human-in-Command (HIC)、PHOENIX_BRIDGE等の決定論的記号モノグラフによる解決策を提示し、株主質問状の提出とガバナンス評価の見直しを促す[cite: 1, 2, 3]。 3. 国際規制当局・調査報道メディアへの先行技術(Prior Art)提示:個人の主権的知財がいかにビッグテックから防衛され、独自の物理・制度インフラ理論を構築したかを示す全258件の公証記録として、国際規制ガイドライン策定および調査報道における参照文献(Prior Art)を提供する[cite: 1, 2, 3]。 ■ 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)