Runtime Regime Infrastructure: A Systems Architecture for Declared-Regime Verification and Consequential AI

Abstract

Abstract Modern AI systems possess increasingly sophisticated generation pipelines but little shared computational infrastructure for determining when generated proposals become consequential commitments. Evaluation typically remains implicit—distributed across application logic, organizational review, institutional practice, and post hoc reconstruction—making independent verification, governance, and dispute resolution reconstruction problems rather than deterministic computations. This paper presents Runtime Regime Infrastructure (RRI), a derived runtime architecture that introduces an explicit computational phase between probabilistic generation and consequential action. Within a declared regime, identity and admissibility are established before evaluation; deterministic evaluation produces typed structural verdicts; policy composes over those verdicts without redefining them; portable decision artifacts preserve the dependency structure of the evaluation; and independent evaluators recompute the recorded result under a declared replay mode. The architecture is motivated by a constraint on bounded evaluators: generated outputs cannot determine the conditions under which they acquire consequential authority. Operational terms such as same, safe, good, and allowed become reproducible only relative to a declared regime specifying the identity-bearing object, admissible transformations, invariants, evidence boundary, governing authority, and available verdict vocabulary. The runtime therefore functions as a governor on consequential inference: proposals become actionable only by satisfying conditions declared before evaluation and preserved in independently recomputable artifacts. The paper introduces no new formal mathematics. Instead, it assembles previously established results from the Identity–Persistence Program—including sufficient regime specification, identity forcing, admissibility, deterministic evaluation, enforcement coding, bounded verification, and decision-artifact obligations—into a single runtime architecture. Each imported result retains its original scope and claim status; the architecture itself is presented explicitly as a DERIVED / ARCHITECTURAL synthesis. The contribution is therefore architectural rather than theorem-level: a layered runtime, typed computational contracts, authority boundaries, refusal semantics, verification model, governance interfaces, and dependency structure for independently reproducible consequential computation under declared regimes.