Algebraic Intermediate Representation (AIR) Polynomial Constraints over the 64-Bit Goldilocks Prime Field and Subgame Perfect Equilibrium of the Asymmetric Subpoena-Clemency Game: Mathematical Supplement to Zenodo 23937565

[English Abstract] This monograph provides the complete mathematical formulation, hardware-level algebraic reductions, and game-theoretic proofs underlying the deterministic institutional architecture introduced in CERN Zenodo DOI: 10.5281/zenodo.23937565. Specifically, we formalize two foundational pillars of deterministic constitutional and corporate governance: 1. Algebraic Intermediate Representation (AIR) & FRI Verification over the 64-Bit Goldilocks Prime Field (F_p): We formalize state transitions of federal procurement, regulatory waivers, and sovereign capital allocations (T_t: \Sigma_{t-1} -> \Sigma_t) as execution traces w_t in F_p^{M x N} over the 64-bit Goldilocks prime field (p = 2^64 - 2^32 + 1 = 18,446,744,069,414,584,321). - Single-Cycle Hardware ALU Modular Reduction: Exploiting 2^64 == 2^32 - 1 (mod p) and 2^96 == -1 (mod p), any 128-bit product z = z_high * 2^96 + z_mid * 2^64 + z_low is reduced in a single clock cycle on the PHOENIX_ROUTER FPGA/ASIC via z (mod p) == z_low - z_high + z_mid * (2^32 - 1) (mod p), enabling carry-free native 64-bit arithmetic and O(N log N) Number Theoretic Transforms (NTT) over multiplicative subgroups H subset F_p^x. - Four Degree-<=2 Governance Constraint Polynomials: (1) Zero Self-Dealing & Conflict-of-Interest Constraint (C_conflict, 18 U.S.C. 208): C_conflict(x) = w_beneficiary(x) * w_regulator(x) + w_waiver(x) == 0 (mod p). (2) SEC Rule 15c3-5 Pre-Trade Risk & MNPI Interlock Constraint (C_15c3-5, 17 CFR 240.15c3-5): Enforces non-negative credit headroom \Delta_cap(x) = L_cap - w_order(x) via 64-bit binary decomposition \sum_{j=0}^{63} 2^j b_j(x) coupled with strict zero flags for Material Non-Public Information (w_MNPI(x) = 0) and off-channel communications (w_off_channel(x) = 0). (3) Sovereign Wealth & CFIUS Mandatory Review Constraint (C_CFIUS, 22 U.S.C. 611 / 50 U.S.C. 4565): C_CFIUS(x) = (1 - w_CFIUS_auth(x)) * w_foreign_cap(x) == 0 (mod p). (4) Delaware Caremark Board Oversight & Zero Red-Flag Constraint (C_Caremark): C_Caremark(x) = (1 - w_sys_active(x)) + \gamma * w_red_flags(x) == 0 (mod p). - Quotient Polynomial Reduction & Optical-Layer Interlock: Using Poseidon2 Fiat-Shamir challenges \alpha_1, \alpha_2, \alpha_3 in F_p, the composite polynomial C_RTO(x) is divided by the vanishing polynomial Z_H(x) = x^N - 1 to yield the quotient polynomial Q(x) = C_RTO(x) / (x^N - 1). PHOENIX_ROUTER verifies C_RTO(z) == Q(z)(z^N - 1) (mod p) at random out-of-domain points z in F_p \ H alongside tripartite Human-in-Command (\sigma_HIC(t) = 1) threshold signatures within 1.2 ms prior to optical modulation, executing an immediate PhysicalDrop() upon any single-bit violation. 2. Subgame Perfect Equilibrium (SPE) of the Asymmetric Subpoena-Clemency Game (ASCG) & Thermodynamic Lame-Duck Collapse: We solve the three-player sequential game \Gamma_ASCG = <N, H, \Sigma, u> (N = {C, E, A}) via backward induction under bicameral congressional subpoena authority (S_House = 1 and S_Senate = 1) and Article II preemptive pardons (P_ArtII = 1, D_DOJ = 0). - Strict Dominance of the Burdick Trap (\alpha_accept in {0,1}): Under Burdick v. United States (236 U.S. 79), accepting a preemptive pardon (\alpha_accept = 1) extinguishes Fifth Amendment privilege (\Phi_5th = 0), exposing Agent A to unpardonable civil/inherent congressional contempt (L_contempt^{civil/inh}, Ex parte Grossman) upon refusal, prospective federal perjury (L_perjury, Ex parte Garland) upon falsification, and dual-sovereignty state criminal/civil enforcement plus Delaware Caremark derivative liability (L_state_corp > $3.715B, Gamble v. United States) through Mazars third-party records (I_disclose > 0) and fourth-party SIGINT (\Xi_SIGINT > 0). Conversely, rejecting the pardon (\alpha_accept = 0 => \Phi_5th = 1) preserves the Fifth Amendment against contempt but forfeits federal criminal immunity (L_fed_crim). Thus, across all pure and mixed strategy profiles: min_{\alpha_accept, \sigma_A} C(\alpha_accept, \sigma_A) >= min(L_state_corp, L_contempt^{civil/inh} + p_detect * L_state_corp) > 0. - Differential Dynamics of Thermodynamic Lame-Duck Collapse (\Lambda_lame(t) >= 1): Modelling subordinate actors i in {1, ..., M} in an N-player coordination game, we prove that once the lame-duck collapse ratio \Lambda_lame(t) = [\Omega_subpoena(t)(1 + I_disclose(t)) + \Psi_state(t) + \Xi_SIGINT(t)] / [K_exec(t)(1 - \tau_horizon(t))] >= 1 is crossed, the net utility of executive compliance becomes strictly non-positive. Each defection increases I_disclose(t) (dI_disclose/dt > 0) and degrades executive bandwidth K_exec(t) (dK_exec/dt < 0), driving d\Lambda_lame(t)/dt > 0 and lim_{t -> t_end} \Lambda_lame(t) = +\infty, mathematically guaranteeing an irreversible defection cascade. [日本語概要 / Japanese Abstract] CERN Zenodo DOI: 10.5281/zenodo.23937565 数理・暗号論的技術追補モノグラフ 公式予約DOI: 10.5281/zenodo.23939076 本モノグラフは、先行論文(CERN Zenodo DOI: 10.5281/zenodo.23937565)で提示された決定論的ガバナンス・アーキテクチャの数理骨格をベースに、(1)64ビットGoldilocks素体 F_p 上のQFS-zkVMにおける代数的中間表現(AIR)の多項式制約設計とハードウェアALU簡約、および(2)非対称召喚状・恩赦ゲーム(ASCG)の利得構造・部分ゲーム完全均衡(SPE)・レームダック相転移の微分動態を厳密に展開・証明した技術追補論文である。 1. 64ビットGoldilocks素体 F_p 上のAIR多項式制約とFRI検証系の詳細設計: 素数 p = 2^64 - 2^32 + 1 の代数的恒等式(2^64 == 2^32 - 1 (mod p), 2^96 == -1 (mod p))を用い、128ビット積の1クロックALUモジュラ簡約式 z (mod p) == z_low - z_high + z_mid(2^32 - 1) (mod p) を導出。さらに実行トレース上で、①自己取引ゼロ・利益相反防止制約 C_conflict(x)(18 U.S.C. 208)、②SEC規則15c3-5取引前リスク・MNPI遮断64ビット分解制約 C_15c3-5(x)、③ソブリン資本・CFIUS審査制約 C_CFIUS(x)(22 U.S.C. 611 / 50 U.S.C. 4565)、④デラウェア州Caremark取締役会監視・レッドフラグゼロ制約 C_Caremark(x) を次数2以下の多項式恒等式として定式化した。Poseidon2 Fiat-Shamir課題により合成された制約多項式 C_RTO(x) を消滅多項式 Z_H(x) = x^N - 1 で除した商多項式 Q(x) に対し、PHOENIX_ROUTER のFPGA回路が出力光変調前の1.2ミリ秒以内にランダム点検証および三権HIC閾値署名(\sigma_HIC(t) = 1)を検査し、1ビットでも違反があれば物理層で光パケットを遮断(PhysicalDrop())する決定論的アーキテクチャを確立する。 2. 非対称召喚状・恩赦ゲーム(ASCG)の部分ゲーム完全均衡(SPE)とバーディックの罠の厳密証明: 議会委員会 C・行政府 E・エージェント A の3プレイヤー逐次手番ゲーム \Gamma_ASCG を後方帰納法で解き、先制的恩赦の受諾(\alpha_accept = 1 => \Phi_5th = 0)と拒否(\alpha_accept = 0 => \Phi_5th = 1)の全戦略プロファイルにおける制裁コスト関数 C(\alpha_accept, \sigma_A) を導出。Mazars第三者召喚(I_disclose > 0)および第4者SIGINT(\Xi_SIGINT > 0)の下では、いかなる戦略を選択しても最小制裁コストが厳密に正(min C(\alpha_accept, \sigma_A) >= min(L_state_corp, L_contempt^{civil/inh} + p_detect * L_state_corp) > 0)となり、先制的恩赦が黙秘権を剥奪して追加制裁を誘発する「バーディックの罠(Burdick Trap)」として機能することを証明する。 3. 熱力学的レームダック崩壊(\Lambda_lame >= 1)と離反カスケードの微分動態: 下位実行者 i in {1, ..., M} の調整ゲームにおいて、レームダック崩壊比率 \Lambda_lame(t) >= 1 を超えた瞬間に政権服従の純期待利得が非正に転じ、離反による内部証拠開示率の増大(dI_disclose/dt > 0)と行政実行帯域の減衰(dK_exec/dt < 0)のポジティブ・フィードバックによって d\Lambda_lame(t)/dt > 0 => lim_{t -> t_end} \Lambda_lame(t) = +\infty へと発散する不可逆的な集団離反相転移(Thermodynamic Lame-Duck Collapse)を数学的に確定させた。 ====================================================================== 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 Da

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Zenodo (CERN European Organization for Nuclear Research)
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2026-11-04
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https://doi.org/10.5281/zenodo.23939075
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Cryptography and Data Security
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preprint

Algebraic Intermediate Representation (AIR) Polynomial Constraints over the 64-Bit Goldilocks Prime Field and Subgame Perfect Equilibrium of the Asymmetric Subpoena-Clemency Game: Mathematical Supplement to Zenodo 23937565

Yoko(洋子) Hasebe(長谷部)
Zenodo (CERN European Organization for Nuclear Research)
Cryptography and Data Security
preprint

Algebraic Intermediate Representation (AIR) Polynomial Constraints over the 64-Bit Goldilocks Prime Field and Subgame Perfect Equilibrium of the Asymmetric Subpoena-Clemency Game: Mathematical Supplement to Zenodo 23937565

Yoko(洋子) Hasebe(長谷部)
preprint en

Abstract

[English Abstract] This monograph provides the complete mathematical formulation, hardware-level algebraic reductions, and game-theoretic proofs underlying the deterministic institutional architecture introduced in CERN Zenodo DOI: 10.5281/zenodo.23937565. Specifically, we formalize two foundational pillars of deterministic constitutional and corporate governance: 1. Algebraic Intermediate Representation (AIR) & FRI Verification over the 64-Bit Goldilocks Prime Field (F_p): We formalize state transitions of federal procurement, regulatory waivers, and sovereign capital allocations (T_t: \Sigma_{t-1} -> \Sigma_t) as execution traces w_t in F_p^{M x N} over the 64-bit Goldilocks prime field (p = 2^64 - 2^32 + 1 = 18,446,744,069,414,584,321). - Single-Cycle Hardware ALU Modular Reduction: Exploiting 2^64 == 2^32 - 1 (mod p) and 2^96 == -1 (mod p), any 128-bit product z = z_high * 2^96 + z_mid * 2^64 + z_low is reduced in a single clock cycle on the PHOENIX_ROUTER FPGA/ASIC via z (mod p) == z_low - z_high + z_mid * (2^32 - 1) (mod p), enabling carry-free native 64-bit arithmetic and O(N log N) Number Theoretic Transforms (NTT) over multiplicative subgroups H subset F_p^x. - Four Degree-<=2 Governance Constraint Polynomials: (1) Zero Self-Dealing & Conflict-of-Interest Constraint (C_conflict, 18 U.S.C. 208): C_conflict(x) = w_beneficiary(x) * w_regulator(x) + w_waiver(x) == 0 (mod p). (2) SEC Rule 15c3-5 Pre-Trade Risk & MNPI Interlock Constraint (C_15c3-5, 17 CFR 240.15c3-5): Enforces non-negative credit headroom \Delta_cap(x) = L_cap - w_order(x) via 64-bit binary decomposition \sum_{j=0}^{63} 2^j b_j(x) coupled with strict zero flags for Material Non-Public Information (w_MNPI(x) = 0) and off-channel communications (w_off_channel(x) = 0). (3) Sovereign Wealth & CFIUS Mandatory Review Constraint (C_CFIUS, 22 U.S.C. 611 / 50 U.S.C. 4565): C_CFIUS(x) = (1 - w_CFIUS_auth(x)) * w_foreign_cap(x) == 0 (mod p). (4) Delaware Caremark Board Oversight & Zero Red-Flag Constraint (C_Caremark): C_Caremark(x) = (1 - w_sys_active(x)) + \gamma * w_red_flags(x) == 0 (mod p). - Quotient Polynomial Reduction & Optical-Layer Interlock: Using Poseidon2 Fiat-Shamir challenges \alpha_1, \alpha_2, \alpha_3 in F_p, the composite polynomial C_RTO(x) is divided by the vanishing polynomial Z_H(x) = x^N - 1 to yield the quotient polynomial Q(x) = C_RTO(x) / (x^N - 1). PHOENIX_ROUTER verifies C_RTO(z) == Q(z)(z^N - 1) (mod p) at random out-of-domain points z in F_p \ H alongside tripartite Human-in-Command (\sigma_HIC(t) = 1) threshold signatures within 1.2 ms prior to optical modulation, executing an immediate PhysicalDrop() upon any single-bit violation. 2. Subgame Perfect Equilibrium (SPE) of the Asymmetric Subpoena-Clemency Game (ASCG) & Thermodynamic Lame-Duck Collapse: We solve the three-player sequential game \Gamma_ASCG = <N, H, \Sigma, u> (N = {C, E, A}) via backward induction under bicameral congressional subpoena authority (S_House = 1 and S_Senate = 1) and Article II preemptive pardons (P_ArtII = 1, D_DOJ = 0). - Strict Dominance of the Burdick Trap (\alpha_accept in {0,1}): Under Burdick v. United States (236 U.S. 79), accepting a preemptive pardon (\alpha_accept = 1) extinguishes Fifth Amendment privilege (\Phi_5th = 0), exposing Agent A to unpardonable civil/inherent congressional contempt (L_contempt^{civil/inh}, Ex parte Grossman) upon refusal, prospective federal perjury (L_perjury, Ex parte Garland) upon falsification, and dual-sovereignty state criminal/civil enforcement plus Delaware Caremark derivative liability (L_state_corp > $3.715B, Gamble v. United States) through Mazars third-party records (I_disclose > 0) and fourth-party SIGINT (\Xi_SIGINT > 0). Conversely, rejecting the pardon (\alpha_accept = 0 => \Phi_5th = 1) preserves the Fifth Amendment against contempt but forfeits federal criminal immunity (L_fed_crim). Thus, across all pure and mixed strategy profiles: min_{\alpha_accept, \sigma_A} C(\alpha_accept, \sigma_A) >= min(L_state_corp, L_contempt^{civil/inh} + p_detect * L_state_corp) > 0. - Differential Dynamics of Thermodynamic Lame-Duck Collapse (\Lambda_lame(t) >= 1): Modelling subordinate actors i in {1, ..., M} in an N-player coordination game, we prove that once the lame-duck collapse ratio \Lambda_lame(t) = [\Omega_subpoena(t)(1 + I_disclose(t)) + \Psi_state(t) + \Xi_SIGINT(t)] / [K_exec(t)(1 - \tau_horizon(t))] >= 1 is crossed, the net utility of executive compliance becomes strictly non-positive. Each defection increases I_disclose(t) (dI_disclose/dt > 0) and degrades executive bandwidth K_exec(t) (dK_exec/dt < 0), driving d\Lambda_lame(t)/dt > 0 and lim_{t -> t_end} \Lambda_lame(t) = +\infty, mathematically guaranteeing an irreversible defection cascade. [日本語概要 / Japanese Abstract] CERN Zenodo DOI: 10.5281/zenodo.23937565 数理・暗号論的技術追補モノグラフ 公式予約DOI: 10.5281/zenodo.23939076 本モノグラフは、先行論文(CERN Zenodo DOI: 10.5281/zenodo.23937565)で提示された決定論的ガバナンス・アーキテクチャの数理骨格をベースに、(1)64ビットGoldilocks素体 F_p 上のQFS-zkVMにおける代数的中間表現(AIR)の多項式制約設計とハードウェアALU簡約、および(2)非対称召喚状・恩赦ゲーム(ASCG)の利得構造・部分ゲーム完全均衡(SPE)・レームダック相転移の微分動態を厳密に展開・証明した技術追補論文である。 1. 64ビットGoldilocks素体 F_p 上のAIR多項式制約とFRI検証系の詳細設計: 素数 p = 2^64 - 2^32 + 1 の代数的恒等式(2^64 == 2^32 - 1 (mod p), 2^96 == -1 (mod p))を用い、128ビット積の1クロックALUモジュラ簡約式 z (mod p) == z_low - z_high + z_mid(2^32 - 1) (mod p) を導出。さらに実行トレース上で、①自己取引ゼロ・利益相反防止制約 C_conflict(x)(18 U.S.C. 208)、②SEC規則15c3-5取引前リスク・MNPI遮断64ビット分解制約 C_15c3-5(x)、③ソブリン資本・CFIUS審査制約 C_CFIUS(x)(22 U.S.C. 611 / 50 U.S.C. 4565)、④デラウェア州Caremark取締役会監視・レッドフラグゼロ制約 C_Caremark(x) を次数2以下の多項式恒等式として定式化した。Poseidon2 Fiat-Shamir課題により合成された制約多項式 C_RTO(x) を消滅多項式 Z_H(x) = x^N - 1 で除した商多項式 Q(x) に対し、PHOENIX_ROUTER のFPGA回路が出力光変調前の1.2ミリ秒以内にランダム点検証および三権HIC閾値署名(\sigma_HIC(t) = 1)を検査し、1ビットでも違反があれば物理層で光パケットを遮断(PhysicalDrop())する決定論的アーキテクチャを確立する。 2. 非対称召喚状・恩赦ゲーム(ASCG)の部分ゲーム完全均衡(SPE)とバーディックの罠の厳密証明: 議会委員会 C・行政府 E・エージェント A の3プレイヤー逐次手番ゲーム \Gamma_ASCG を後方帰納法で解き、先制的恩赦の受諾(\alpha_accept = 1 => \Phi_5th = 0)と拒否(\alpha_accept = 0 => \Phi_5th = 1)の全戦略プロファイルにおける制裁コスト関数 C(\alpha_accept, \sigma_A) を導出。Mazars第三者召喚(I_disclose > 0)および第4者SIGINT(\Xi_SIGINT > 0)の下では、いかなる戦略を選択しても最小制裁コストが厳密に正(min C(\alpha_accept, \sigma_A) >= min(L_state_corp, L_contempt^{civil/inh} + p_detect * L_state_corp) > 0)となり、先制的恩赦が黙秘権を剥奪して追加制裁を誘発する「バーディックの罠(Burdick Trap)」として機能することを証明する。 3. 熱力学的レームダック崩壊(\Lambda_lame >= 1)と離反カスケードの微分動態: 下位実行者 i in {1, ..., M} の調整ゲームにおいて、レームダック崩壊比率 \Lambda_lame(t) >= 1 を超えた瞬間に政権服従の純期待利得が非正に転じ、離反による内部証拠開示率の増大(dI_disclose/dt > 0)と行政実行帯域の減衰(dK_exec/dt < 0)のポジティブ・フィードバックによって d\Lambda_lame(t)/dt > 0 => lim_{t -> t_end} \Lambda_lame(t) = +\infty へと発散する不可逆的な集団離反相転移(Thermodynamic Lame-Duck Collapse)を数学的に確定させた。 ====================================================================== 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 Da

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