Deterministic Arithmetic Substrates for Cross-Platform Verifiable Governance Evidence: A Framework for Reproducible Computation Provenance

This article introduces the concept of a deterministic arithmetic substrate for AI governance computation, addressing the structural inability of standard floating-point arithmetic to support cross-platform independent verification of governance evidence. The framework combines exact integer arithmetic, operation-level provenance recording, and physical constant anchoring to produce cryptographic governance evidence with the property of universal verifiability across processor architectures and regulatory jurisdictions. Published as a defensive technical disclosure. Part of the Y.I.N. Mazari Architecture publication series. ORCID: 0009-0001-2934-6297.