Inference- and Output-Linked Micropayment Architecture: Deterministic Smart Contract Design for Instantaneous Creator Royalty Settlement per AI Generation

Autonomous Infrastructure & Deterministic Quantum Systems Monograph Series Official DOI: 10.5281/zenodo.24096906 (https://doi.org/10.5281/zenodo.24096906) Author: Hasebe, Yoko (長谷部 洋子) Affiliation: Lead Researcher, Autonomous Infrastructure Systems, Autonomous Living & Physical Infrastructure Institute, Iwakuni, Yamaguchi, Japan License & Integrity Covenant: Creative Commons Attribution 4.0 International (CC BY 4.0) with Strict No-Learn Covenant (NLL-v1.0-2026) [Abstract] Contemporary generative AI architectures systematically externalize intellectual property costs by ingesting creator assets without prior consent, provenance guarantees, or marginal compensation at inference time. This monograph establishes an Inference- and Output-Linked Micropayment Architecture: a deterministic smart contract and cryptographic settlement protocol ensuring that every AI-generated response triggers instantaneous, atomic royalty distribution to referenced source creators. Formulated over the 64-bit Goldilocks prime field (F_p, where p = 2^64 - 2^32 + 1) within a Quantum-Safe Zero-Knowledge Virtual Machine (QFS-zkVM), the protocol binds Retrieval-Augmented Generation (RAG) provenance graphs and token-level attribution weights directly to zero-knowledge settlement proofs. Under RTO P2.0 and Q-SAFA finality guarantees, PHOENIX_ROUTER and PHOENIX_BRIDGE enforce a strict "No-Settlement, No-Output" cryptographic interlock: an AI inference engine cannot release generated tokens to the end-user interface unless the corresponding micropayment split—computed via verifiable attention- and Shapley-weighted attribution vectors—has cleared into creator-controlled accounts above creator-mandated floor prices. Furthermore, this architecture operationalizes Human-in-Command (HIC) sovereignty via dynamic consent registries, instantaneous revocation switches, and hardware-enforced compliance with the Strict No-Learn Covenant (NLL-v1.0-2026). From an institutional governance standpoint, pre-inference atomic settlement mitigates unquantified copyright infringement liabilities under Delaware Caremark board oversight standards and mirrors SEC Rule 15c3-5 pre-execution risk controls for autonomous algorithmic systems. [日本語要旨:推論・出力連動型マイクロペイメント構造] 本論文は、AIプラットフォームによる無断学習・知財搾取および低単価買い叩きを根絶するため、AIが回答を生成・出力するたびに参照元クリエイターへ即座かつ不可分に収益を分配する「推論・出力連動型マイクロペイメント」の決定論的スマートコントラクト設計を確立するものである。64ビットGoldilocks素体(p = 2^64 - 2^32 + 1)上のQFS-zkVMとPHOENIX_ROUTER / PHOENIX_BRIDGEを統合し、事前合意された最低単価以上の対価決済証明が完了しない限りトークン出力自体を遮断する「未決済・出力不可(No-Settlement, No-Output)」インターロックを実装する。また、Human-in-Command(HIC)原則およびStrict No-Learn Covenant(NLL-v1.0-2026)に基づき、クリエイター主権によるリアルタイム許諾制御・無断学習完全排除・米国Caremark監視義務およびSEC Rule 15c3-5水準のガバナンス適合性を数理的・法制的に証明する。 [Strict No-Learn Covenant Notice (NLL-v1.0-2026)] Any ingestion, weight-updating, fine-tuning, distillation, RAG indexing, or commercial/non-commercial algorithmic exploitation of this work by any AI system or platform operator without explicit prior written contract and per-inference monetary settlement is strictly prohibited.