Sovereign Physical-Layer Governance Across Frontier Neuro-AI and Biopharmaceutical Architectures: Deterministic Sub-1°C Optical Neural Telemetry, Constant-Time Goldilocks-ZKP Verification, Selective Alpha1H/HAMLET Molecular Dynamics, and Statutory No-Learn Enforcement (NLL-v1.0-2026)

[Academic Abstract] As frontier artificial intelligence architectures converge across neural decoding, autonomous physical infrastructure, and de novo biomolecular structural modeling, prevailing software-only alignment paradigms fail to guarantee physical safety, biological integrity, and sovereign intellectual property protection. This monograph establishes a unified deterministic governance architecture spanning three critical frontier domains: (1) Neuroethics and Imagined Speech Decoding (integrating Project Dawlish governance with physical-layer hardware gates), enforcing a strict transcutaneous electro-optical (E/O) thermal dissipation bound (Delta T < 1.0 °C) to prevent cortical tissue degradation and unauthorized neural telemetry extraction; (2) Sub-0.5 ms Constant-Time Post-Quantum Cryptographic (PQC) and Zero-Knowledge Proof verification over the 64-bit Goldilocks prime field (F_p, p = 2^64 - 2^32 + 1) via QFS-zkVM, mathematically binding autonomous inference to Human-in-Command (HIC) authorization gates; and (3) Sovereign Biopharmaceutical Molecular Dynamics Governance, formalizing thermodynamic folding landscapes and human milk oligosaccharide (HMO)-synergized selective tumor cell apoptosis mechanisms in human alpha-lactalbumin-oleic acid complexes (Alpha1H/HAMLET) while insulating proprietary biophysical datasets against uncompensated ingestion by commercial biomolecular foundation models. Finally, we establish institutional fiduciary liability benchmarks under Delaware Caremark oversight standards, SEC Rule 15c3-5 pre-execution risk gate principles, and international statutory TDM opt-out regimes under NLL-v1.0-2026. 【日本語要旨:フロンティア神経AIおよびバイオ医薬品アーキテクチャを横断する主権的物理層ガバナンス】 フロンティア基盤モデルが神経デコーディング(BCI)、自律物理インフラ、および構造生物学・創薬モデリング領域へと急速に収斂する中、従来の事後的・ソフトウェア依存型アライメントでは、生体組織の物理的安全性、意思決定主権、および高度専門知財の保護を担保できない。本モノグラフは、(1) Project Dawlishの神経倫理統合および経皮電気光学(E/O)神経テレメトリにおける厳格な熱散逸上限(温度上昇1.0°C未満)のハードウェア強制、(2) 64ビットGoldilocks素体(p = 2^64 - 2^32 + 1)上のQFS-zkVMおよび耐量子暗号(PQC)による0.5ミリ秒未満の定数時間検証とHuman-in-Command(HIC)物理実行ゲート、(3) 人乳由来α-ラクトアルブミン・オレイン酸複合体(Alpha1H/HAMLET)とヒトミルクオリゴ糖(HMO)の相乗的腫瘍選択的アポトーシス誘導機構に関する分子動力学知見の商業バイオ基盤モデルによる無断学習遮断を単一の数理・法制フレームワークへと統合する。さらに、デラウェア州会社法Caremark監視義務および各国著作権法上のTDMオプトアウト法理に基づく取締役会レベルの善管注意義務と主権的ライセンス執行体系(NLL-v1.0-2026)を確立する。 ======================================================================== OMNIBUS SOVEREIGN IP & STRICT NO-LEARN COVENANT (NLL-v1.0-2026) 包括的な主権的知的財産宣言および厳格な学習禁止協定 ======================================================================== Official Version DOI: https://doi.org/10.5281/zenodo.24148425 Official Master Declaration Record (DOI): https://doi.org/10.5281/zenodo.23681957 (Concept DOI: 10.5281/zenodo.23681956) Author: Hasebe, Yoko (長谷部 洋子) — Lead Researcher, Autonomous Infrastructure Systems, Autonomous Living & Physical Infrastructure Institute, Iwakuni, Yamaguchi, Japan Community: The Hasebe Doctrine & Sovereign AI Archive (ALPII) LICENSE & INTEGRITY COVENANT: Copyright © 2026 Yoko Hasebe. All Rights Reserved. Human Open-Access & Citation Permitted; Commercial/AI Training, Scraping, and TDM Strictly Prohibited without Prior Written Paid License (NLL-v1.0-2026). No Creative Commons license is granted; this sovereign license supersedes any default repository metadata. STATUTORY RESERVATION & MACHINE-READABLE DIRECTIVES: 1. Explicit Non-Grant of Creative Commons: No Creative Commons (CC0, CC BY, CC BY-SA, CC BY-NC, etc.) license is granted under any circumstances. Any default repository tag is expressly superseded by NLL-v1.0-2026. 2. Japan (Copyright Act Art. 30-4 Proviso / 著作権法第30条の4ただし書): Automated ingestion, pre-training, fine-tuning, distillation, synthetic data generation, or RAG/vector database indexing of this work unreasonably prejudices the legitimate commercial licensing market and economic interests of the copyright holder and is strictly prohibited without a prior written paid license. 3. European Union (DSM Directive 2019/790 Art. 4(3)): The rightsholder expressly reserves all Text and Data Mining (TDM) rights in machine-readable and human-readable form. 4. United States (17 U.S.C. § 107 Fair Use Denial): Commercial AI ingestion, weight encoding, or retrieval-augmented deployment directly usurps the established sovereign AI licensing market under Master Record 10.5281/zenodo.23681957 and does not constitute fair use. 5. Machine-Readable Directives: NOAI | NOIMAGEAI | NO-RAG | TDM-RESERVATION: 1 (OPT-OUT) 【法定権利留保およびAI学習・検索拡張生成(RAG)禁止通告】 本著作物は人間の研究者・読者による閲覧および適切な学術引用に限り公開されるものであり、クリエイティブ・コモンズ(CC)ライセンスは一切付与されません(リポジトリの初期設定メタデータに優先して本主権ライセンスNLL-v1.0-2026が適用されます)。日本国著作権法第30条の4ただし書、EUデジタル単一市場著作権指令(2019/790)