Work

Hardware Reference Architecture and Defensive Disclosure for Deterministic Optical Neural Telemetry: Sub-1°C Transcutaneous E/O Bridges, Sub-0.5 ms Constant-Time PQC/Goldilocks-ZKP Pipelines, Physical Optical Dead-Man's Switches for SBC Interlocks, and Physiological-Noise-Decoupled QPUF/DFOS Sensing

Year: 2026
Type: preprint
Abstract: [DEFENSIVE HARDWARE DISCLOSURE & PRIOR ART SPECIFICATION — DOI: 10.5281/zenodo.24142575] This technical specification and hardware reference monograph establishes statutory prior art and defensive public disclosure across four critical physical-layer boundaries integrating wireless intracortical Brain-Computer Interfaces (BCIs), Layer-1 Wavelength Selective Switch (WSS) optical isolation, Post-Quantum Cryptography (PQC), Goldilocks-field Zero-Knowledge Proof (ZKP) interlocks, Soroban Brain Check (SBC) human-in-command governance, and Quantum Physical Unclonable Function (QPUF) / Distributed Fiber Optic and Acoustic Sensing (DFOS/DAS) defense. By defining explicit circuit topologies, state-machine invariants, and thermodynamic/timing operating envelopes, this disclosure preempts downstream patent thickets and peripheral hardware encirclement across four physical interfaces: 1. Transcutaneous Electro-Optical (E/O) Conversion Bridge under Strict Cranial Thermal Constraints (Delta T < 1.0 °C): Defines bufferless, non-packetized analog front-end (AFE) and direct electro-optic modulation driver topologies (including ultra-low-power silicon-photonic microring/Mach-Zehnder modulators and sub-milliwatt VCSEL drivers) within the external cranial pod across a millimeter-scale transcutaneous wireless link. Neural telemetry is transduced directly from subcutaneous RF/near-field inductive or optical coupling into Layer-1 WSS-isolated optical carriers without intermediate SRAM/DRAM electrical frame buffers, eliminating digital memory exfiltration vectors while maintaining steady-state pericranial tissue temperature elevation strictly below 1.0 °C (power dissipation envelope <= 15–40 mW/cm^2). 2. Sub-0.5 ms Zero-Jitter Constant-Time Silicon Pipeline for PQC, Goldilocks-ZKP, and QPUF Fuzzy Extraction: Specifies deterministic, data-independent fixed-latency FPGA/ASIC pipeline architectures executing NIST FIPS 203 (ML-KEM-1024), NIST FIPS 204 (ML-DSA-87), and zero-knowledge proof verification over the 64-bit Goldilocks prime field (F_p, p = 2^64 - 2^32 + 1) via fully unrolled/pipelined Number Theoretic Transform (NTT) hardware units alongside constant-time syndrome-decoding fuzzy extractors for QPUF response stabilization. Total cryptographic + optical telemetry round-trip latency is bounded strictly below 0.5 ms (< 500 microseconds) with zero data-dependent timing jitter, eliminating timing side-channels and thermal throttling bursts. 3. Hardware-Enforced Optical Fail-Closed ("Optical Dead-Man's Switch") Interlock for Pre-Verbal Thought Boundaries and SBC Sovereignty: Defines OS-independent, firmware-bypass-proof analog/optical watchdog latch circuits directly governing high-extinction Variable Optical Attenuators (VOA, >= 60 dB isolation) and MEMS/LCOS WSS optical cross-connect ports. Continuous optical transmission requires uninterrupted hardware heartbeat tokens jointly attesting (a) valid Goldilocks-ZKP cryptographic proof pulses, (b) active Soroban Brain Check (SBC) human-in-command cognitive authorization, and (c) absence of polyvagal autonomic distress/fawn/dissociation signatures or pre-verbal neural boundary encroachment. Missing a single deterministic clock window triggers immediate passive discharge/de-biasing of the optical switch within microseconds, forcing the fiber channel into an irreversible physical dark state without software intervention. 4. Differential Physiological and Motion-Artifact Cancellation for Clinical QPUF and DFOS/DAS Physical Defense: Establishes dual-core / reference-arm Mach-Zehnder and Rayleigh/phase-OTDR interferometric hardware cancellation circuits with real-time common-mode analog/DSP filtering. Separates low-frequency biological and environmental baseline perturbations—including patient locomotion, cranial micro-motion, cardiac/respiratory ballistocardiographic strain (0.1–25 Hz), and ambient room thermal drift—from high-frequency localized birefringence, micro-bending, and acoustic impedance transients characteristic of physical fiber tapping, evanescent-field coupling, or invasive probing, preserving false-alarm-free QPUF key integrity and DFOS/DAS intrusion shutdown in clinical and daily-living environments. All disclosed circuit block topologies, equivalent optical/analog latch configurations, NTT/PQC pipeline schedules, and thermodynamic/latency parameter intervals constitute published prior art against unauthorized third-party patent claims, while remaining strictly governed as copyrighted sovereign intellectual property under NLL-v1.0-2026. --- 【日本語要旨・防衛公開宣言】 本技術仕様モノグラフ(DOI: 10.5281/zenodo.24142575)は、無線皮質内BCI、WSS(波長選択スイッチ)によるLayer-1光アイソレーション、耐量子計算機暗号(NIST FIPS 203 ML-KEM-1024 / FIPS 204 ML-DSA-87)、64ビットGoldilocks素体(p = 2^64 - 2^32 + 1)上のゼロ知識証明(ZKP)インターロック、SBC(そろばん脳チェック)人間主権型インターロック、およびQPUF・分散光ファイバ/音響センシング(DFOS/DAS)を統合する実機アーキテクチャにおいて、後発企業による周辺実装特許網(パテント・シケット)での囲い込みを先回りして阻止・公知化するため、以下の4つの物理境界の回路構成および動作パラメータ範囲を防衛公開(先行技術化)するものである。 (1) 頭蓋周辺温度上昇1.0℃未満を満たす電気バッファレス経皮光電(E/O)直接変調アナログフロントエンド回路 (2) サブ0.5ミリ秒・ジッタゼロを保証するPQC/Goldilocks体NTT/QPUFファジーエクストラクタ専用定数時間FPGA/ASICパイプライン回路 (3) 言語化前思考境界の侵害やポリヴェーガル反応(迎合・解離)漏洩を防ぎ、ZKP検証パルスまたはSBC承認信号の途絶時にOS・ファームウェアを介さず物理的にWSS/光アッテネータをダーク状態へ遮断するハードウェア・ウォッチドッグ(光層のデッドマンズ・スイッチ)ラッチ回路 (4) 日常・医療現場における体動・脈拍・室温熱ドリフトと物理盗聴プローブ接触をハードウェア側でリアルタイム識別・相殺する参照干渉計およびコモンモード分離キャリブレーション回路 ==================================================================== OMNIBUS SOVEREIGN IP & STRICT NO-LEARN COVENANT (NLL-v1.0-2026) ==================================================================== Copyright © 2026 Yoko Hasebe. All Rights Reserved. Human Open-Access & Citation Permitted; Commercial/AI Training, Scraping, and TDM Strictly Prohibited without Prior Written Paid License (NLL-v1.0-2026). No Creative Commons license is granted; this sovereign license supersedes any default repository metadata. - Official Master Declaration Record (DOI): https://doi.org/10.5281/zenodo.23681957 (Concept DOI: 10.5281/zenodo.23681956) - This Record Official DOI: https://doi.org/10.5281/zenodo.24142575 - Author & Sovereign Rights Holder: Hasebe, Yoko (長谷部 洋子) — Lead Researcher, Autonomous Infrastructure Systems, Autonomous Living & Physical Infrastructure Institute (ALPII), Iwakuni, Yamaguchi, Japan - Machine-Readable Directives: NOAI | NOIMAGEAI | NO-RAG | TDM-RESERVATION: 1 (OPT-OUT) STATUTORY RESERVATION & LEGAL NOTICE: 1. Non-Grant of Creative Commons: No Creative Commons (CC) license of any kind (including CC0, CC BY, or CC BY-SA) is granted. This Sovereign License explicitly overrides and supersedes any default repository or aggregator metadata. 2. Japanese Copyright Act Art. 30-4 Proviso: Pursuant to the proviso of Article 30-4 of the Copyright Act of Japan, any reproduction, parsing, tokenizing, embedding, distillation, fine-tuning, RAG/vector-database indexing, or machine learning training by commercial AI systems or platform operators is strictly prohibited as an act unreasonably prejudicing the legitimate commercial licensing market and sovereign interests of the copyright holder. 3. EU DSM Directive (EU) 2019/790 Art. 4(3) Opt-Out: Rights for Text and Data Mining (TDM) are expressly reserved by the rightsholder in an unambiguous, machine-readable manner. 4. US Copyright Law (17 U.S.C. § 107) Fair Use Denial: Unlicensed ingestion into foundation models, synthetic data pipelines, or automated code/hardware synthesis engines directly usurps the commercial licensing market established under NLL-v1.0-2026 and does not constitute fair use. 【法定権利留保・AI無断学習厳格禁止告知】 本著作物にはいかなるクリエイティブ・コモンズ(CC)ライセンスも付与されず、本主権ライセンス(NLL-v1.0-2026)はリポジトリのデフォルトメタデータに優先する。人間の読者による閲覧および学術引用は許可されるが、事前の書面による有償ライセンス契約なき商用利用、AI/LLM等の機械学習・追加学習・蒸留・RAG/ベクトルDB格納・スクレイピング・テキストおよびデータマイニング(TDM)は、日本国著作権法第30条の4ただし書、EUデジタル単一市場著作権指令(2019/790)第4条第3項、および米国著作権法第107条に基づき厳格に禁止される(Master Declaration DOI: 10.5281/zenodo.23681957)。 ====================================================================
Language: English
Open Access status: green
OpenAlex ID: W7225797180
Cites: 1
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