AxoDen Spectrum Bridge (RF - AI Bridge)

AxoDen Spectrum Bridge (ASB) v4.0 — Deterministic RF Evidence Boundary Layer This manuscript specifies the AxoDen Spectrum Bridge (ASB), a Sensing Assurance Kernel that sits between RF capture and software-defined radio (SDR) front-ends and downstream AI/ML perception systems. ASB replaces ad-hoc RF preprocessing with a certifiable transformation and admission contract, converting high-rate analogue RF streams into versioned, replayable, audit-grade Evidence Objects. The work directly addresses four foundational RF-AI integration barriers identified by the National Academies of Sciences, Engineering, and Medicine (NASEM) workshop (August 2025): analogue continuity and arbitrary windowing, throughput mismatch between GHz-rate RF capture and AI ingestion limits, Shannon-limit ambiguity where signal and noise become statistically indistinguishable, and common-mode failure risk across redundant sensor paths. Core technical contributions include: a four-gate admissibility sequence, enforcing explicit operating envelopes; a physics-informed deterministic encoder designed for NeuralSAT-compatible formal verification; multi-scale wavelet tokenisation with ILFD phase encoding for below-noise-floor signal recovery. ASB does not replace downstream AI classifiers or sensor fusion stacks. Its role is strictly to formalise and constrain the RF-to-digital boundary so that downstream AI receives admissible, envelope-honest, cryptographically traceable inputs, and fails safely when physical conditions prohibit reliable inference. This record is published for prior-art disclosure and academic review under restricted access. All rights reserved. Commercial use requires a licence from Luminesce Limited (UK). Implementation-specific parameters, thresholds, and deployment artefacts are intentionally omitted.