Zero-Leakage Academic Publishing Protocol: Cryptographic Intellectual Property Defense and Pre-Compilation DOI Reservation under Consumer AI Telemetry Architectures (邦題:ゼロ漏洩の学術出版プロトコル:個人向けAIテレメトリ構造下における暗号学的知財防衛とコンパイル前DOI予約手続き)

This monograph (notarized under pre-reserved DOI: 10.5281/zenodo.23965909) formalizes a deterministic Two-Phase Cryptographic IP Defense and Pre-Compilation DOI Notarization Protocol that eliminates pre-publication intellectual property leakage while preserving full academic typesetting capabilities. In Phase 1 (Zero-Telemetry Ideation & LaTeX Synthesis), all mathematical formulation, manuscript drafting, and raw LaTeX source generation are executed strictly under Activity-Off isolation (T_state = 0), ensuring zero ingestion into corporate training corpora. Prior to any cloud compilation, the author mints a pre-reserved CERN Zenodo Digital Object Identifier (DOI: 10.5281/zenodo.23965909) over the 64-bit Goldilocks prime field (Fp, p = 2^64 - 2^32 + 1) state commitment, establishing immutable cryptographic prior art (N_DOI = 1) under Human-in-Command (HIC) governance. In Phase 2 (Ephemeral Sandboxed Compilation & Immediate Telemetry Purge), the reserved DOI and Strict No-Learn Covenant (NLL-v1.0-2026) are embedded directly into the LaTeX cryptographic header before momentarily enabling the compilation sandbox to render the final PDF artifact, followed by immediate activity purge and reversion to Activity-Off isolation. By enforcing the invariant T_state(t) * (1 - N_DOI(M(t))) = 0 across all timestamps t, this protocol provides an accessible, mathematically rigorous blueprint for independent scholars worldwide to protect sovereign intellectual property against unauthorized AI harvesting. ====================================================================== 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. 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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. ======================================================================