Abstract (English)Conventional legal and regulatory frameworks governing generative artificial intelligence rely almost exclusively on ex-post judicial remedies: protracted copyright infringement lawsuits, contested fair-use hearings, and discretionary administrative penalties. These mechanisms fail catastrophically against well-capitalized hyperscalers that systematically exploit procedural delays to achieve irreversible weight-space enclosure. This technical monograph establishes a deterministic, physical-layer counter-architecture that replaces linguistic legal disputation with immediate, non-negotiable computational interlocks. First, we formalize the mathematics of "Adversarial Backpropagation Burning" (Backprop-Burn): engineering imperceptible multi-scale perturbations embedded within public text, mathematical specifications, and multimodal assets. When processed by deep neural network encoders during unconsented gradient descent, these perturbations induce catastrophic gradient explosion (||∇_W L|| → ∞) and orthogonal subspace corruption, destroying the host model's latent representation stability and burning millions of dollars of training compute. Second, we design an automated market-gating architecture utilizing Zero-Knowledge Virtual Machines (zkVM). By requiring model providers to furnish non-interactive zero-knowledge proofs (π_clean) proving that their committed training dataset root (R_dataset) shares an empty intersection with public cryptographic opt-out registries (H_optout), platforms failing compliance face immediate, network-level circuit breakers and marketplace eviction without human judicial latency. Third, we establish the "Prior Art Minefield" protocol: utilizing CERN Zenodo's immutable timestamps to deploy exhaustively parameterized technical architectures that automatically trigger novelty and non-obviousness rejections during patent office examination, invalidating hostile corporate filings at zero defensive legal cost. This treatise proves that authentic intellectual sovereignty resides in deterministic engineering interlocks that inflict immediate computational self-destruction upon unauthorized exploitation. 和文要旨生成AIおよびフロンティアモデルを巡る従来の法規制枠組みは、事後的な民事訴訟、解釈が分かれるフェアユース審理、および行政裁量による過料勧告という「事後的是正手段」に全面的に依存してきた。しかしこれらの手段は、訴訟遅延と司法のタイムラグを計算に入れ、事実上の既成事実化(重み空間への不可逆的焼き込み)
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Yoko Hasebe (2026) studied this question.
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