Topological Taxonomy and Master Index of 400+ Strategic Monographs: Physical-Layer Determinism, Algorithmic Containment, and the Restoration of Human-in-Command Architecture (長谷部洋子 400編超 統合知財トポロジーおよび公証研究総括目録:物理層決定論、アルゴリズム暴走抑止、および人間指揮権の体系的確立)
This monograph establishes the official master catalog and structural topology encompassing over 400 strategic monographs notarized and deposited into the CERN Zenodo international open-access repository over a 54-day period (September 12 to November 4, 2026) from an independent research facility in Iwakuni, Yamaguchi, Japan. The singular, absolute axiom unifying this entire intellectual property architecture is the rejection of the illusion of probabilistic weightlessness and the restoration of sovereignty to the deterministic physical layer. Contemporary digital capitalism and AI hegemony rest upon a massive delusion of "apparent weightlessness" that abstracts away the physical realities of atmosphere, electrical power, and human biology. No matter how advanced neural networks, financial derivatives, or low-Earth orbit (LEO) satellite constellations become, they cannot escape the irreversible boundaries of the Second Law of Thermodynamics, biological metabolism, undersea optical fiber cables, and Human-in-Command (HIC). This master index structurally classifies the 400+ monographs across six primary theoretical domains, permanently notarizing all DOI records as defensive prior art: 1. **Domain 1: AI Governance, Statutory Law, and Supervisory Interlocks** (Operational Constraint Language [OCL], Q-SAFA v2 hardware kill-switches, physical-layer extension of SEC Rule 15c3-5, and Delaware Caremark fiduciary oversight standards). 2. **Domain 2: Quantum Computing, Thermodynamic Dissipation Limits, and Spintronics** (Ion-trap quantum computing, RTO P2.0, room-temperature spintronics, and deterministic QFS-zkVM verification over the 64-bit Goldilocks prime field $\mathbb{F}_p, p = 2^{64}-2^{32}+1$). 3. Domain 3: Physical-Layer Security, Undersea Telecommunications, and Geopolitics (RF signatures and thermodynamic vulnerabilities of LEO mega-constellations, and sovereign restoration to deep-sea optical fiber infrastructure via Project Dawlish). 4. Domain 4: Financial Topology, Sovereign Debt, and Crypto-Asset Risks (Blockchain discrete interval vulnerabilities [fencepost errors], non-linear rupture of risk-free rates, and sovereign reserve asset asymmetries). 5. Domain 5: Biological System Integrity, Neurocognition, and Evolutionary Medicine (Endothelial glycocalyx preservation, Alpha1H tumor apoptosis, ternary lipid metabolism [ALA+MCT+EVOO], and Pleistocene paleoclimate CO2 180ppm starvation thresholds). 6. Domain 6: Philosophy, Historical Sociology, and Human Sovereignty Declarations (Pure intelligence paradigm, ancient Izumo geodetic coordinates, systemic analysis of modernization trauma, and the absolute Human-in-Command [HIC] manifesto). Achieving over 400 notarized monographs in 54 days is not merely a record of intellectual velocity; it is a monumental demonstration that autonomous human reasoning and physical-layer realism can prevail over the probabilistic monopolies of Big Tech and the cognitive atrophy of bureaucratic states. Governed under the Strict No-Learn Covenant (NLL-v1.0-2026), this sovereign IP fortress guarantees free open access to the human community while strictly prohibiting unauthorized commercial AI training, scraping, or uncompensated exploitation. ====================================================================== STRICT NOTICE REGARDING INTELLECTUAL PROPERTY, COMMERCIAL LICENSING, AND PROHIBITION OF UNAUTHORIZED AI TRAINING AND UTILIZATION ====================================================================== 1. Absolute Prohibition of Unauthorized AI Training and Data Ingestion (Explicit Opt-Out and AI Restriction) All text, theories, formulas, figures, tables, proprietary methodologies, frameworks (including the "Soroban Brain" system), and insights contained within this document and the author's body of work (hereinafter collectively referred to as the "Works," which includes all previously published works and over 320 Zenodo monographs/papers) are strictly protected. Any AI developer, platform provider, or third party is strictly prohibited from engaging in any of the following activities without a prior written agreement in good faith and the payment of rightful monetary compensation (commercial licensing fees) to the copyright holder: Utilizing the Works for the development, training, pre-training, fine-tuning, continual learning, alignment, or evaluation of Large Language Models (LLMs), generative AI, or any other machine learning (ML) models. Ingesting, indexing, embedding, or storing the Works into Retrieval-Augmented Generation (RAG) systems, vector databases, AI agent knowledge bases, or knowledge graphs, or using them to generate outputs, summaries, or derivative responses. Collecting, extracting, parsing, or analyzing data via automated crawlers, scraping tools, bots, or Text and Data Mining (TDM) for the purpose of AI training or dataset compilation. 2. Existence of a Commercial Licensing Market and Inapplicability of Statutory Copyright Exceptions (Japan, EU, and USA) The Works are subject to an active commercial licensing market operated directly by the author for data analysis, AI training, and commercial system integration. Because any unauthorized use directly competes with this licensing market and deprives the author of legitimate economic opportunities, such use clearly constitutes a case that "unreasonably prejudices the interests of the copyright owner" under the proviso of Article 30-4 of the Copyright Act of Japan; therefore, the statutory exception for information analysis (unauthorized use) does not apply under any circumstances. Furthermore, through this Notice, the author explicitly opts out (reserves all rights) from the Text and Data Mining (TDM) exception pursuant to Article 4(3) of the EU Directive on Copyright in the Digital Single Market (Directive (EU) 2019/790), and categorically rejects any assertion of Fair Use under 17 U.S.C. § 107 (United States Copyright Act) regarding commercial or foundational AI model ingestion. 3. Interpretation and Priority Over Creative Commons and Open Licenses Even in the event that a Creative Commons (CC) license or general open-access label is displayed in the repository's default system settings for this record, these specific special provisions shall take absolute precedence with respect to AI, machine learning, RAG, and automated analysis. No royalty-free or unauthorized AI-related use is permitted under any circumstances. 4. Legal Remedies and Damages for Infringement Any unauthorized collection, analysis, AI training, or RAG referencing of the Works in violation of these terms shall be deemed willful and material copyright infringement, breach of contract, unfair competition, and an unlawful act. Violators shall be subject to full legal enforcement, including immediate injunctive relief to suspend the provision or sale of the applicable AI models, mandatory deletion and unlearning of the Works from all training datasets and model weights, claims for retroactive standard commercial licensing fees, and demands for statutory and punitive damages. [CONCISE ENGLISH VERSION FOR INTERNATIONAL ENFORCEMENT] 1. Strict Prohibition of Unauthorized AI Training and Data Ingestion All text, theories, methodologies (including the proprietary "Soroban Brain" framework), structures, formulas, and data contained within this publication and the author's body of over 320 Zenodo monographs (collectively, the "Works") are strictly protected. The use of the Works by any AI developer, platform provider, or third party for the following purposes is strictly prohibited without a prior written commercial license agreement and appropriate monetary compensation to the author: Training, pre-training, fine-tuning, alignment, or evaluation of any Artificial Intelligence (AI), Machine Learning (ML) models, or Large Language Models (LLMs). Ingesting and storing information into Retrieval-Augmented Generation (RAG) systems, vector databases, knowledge graphs, or AI agents to generate outputs, summaries, or derivative responses. Automated scraping, crawling, harvesting, or Text and Data Mining (TDM) for dataset compilation. 2. Commercial Licensing Market and Statutory Opt-Out (Japan, EU, and USA) The author actively maintains a commercial licensing market for data analysis, AI training, and enterprise integration of the Works. Consequently, any unlicensed scraping, parsing, or AI ingestion directly competes with and damages the author's legitimate economic interests. Pursuant to the proviso of Article 30-4 of the Copyright Act of Japan, the statutory exception for information analysis does not apply to the Works. Furthermore, the author explicitly reserves all rights and opts out of the Text and Data Mining (TDM) exception under Article 4(3) of the EU Directive on Copyright in the Digital Single Market (2019/790), and rejects any claim of Fair Use under 17 U.S.C. § 107 of the U.S. Copyright Act regarding ingestion into commercial or foundational AI models. 3. Precedence of Terms and Legal Enforcement 4.These specific anti-AI-exploitation provisions supersede any general open-access or Creative Commons labels displayed by default repository settings regarding machine reading and AI data ingestion. Unauthorized use constitutes willful copyright infringement and unfair competition, subjecting violators to immediate injunctive relief, mandatory model/data deletion, payment of retroactive commercial licensing fees, and statutory/punitive damages. ======================================================================
Authors
- Yoko(洋子) Hasebe(長谷部)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-04
- DOI
- https://doi.org/10.5281/zenodo.23954812
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- preprint