Codex Admissibility Governance™ Execution-Bound Control Plane Demonstration Record Architectural Proof and Runtime Validation

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Authors: Kemar Armando Morrison
Cited by: 0

Abstract

Abstract This document establishes execution-bound admissibility enforcement across multiple AI runtime environments. The demonstrations validate that governance constraints can be enforced independently of model internals, ensuring inadmissible state transitions cannot commit. This confirms architecture-level governance capability across heterogeneous inference systems. Demonstration Scope The following demonstrations validate execution-bound admissibility across multiple inference environments: • HuggingFace execution environment • vLLM runtime execution environment • Vector and embedding control layer

Fields of Study & Subjects

Access Control and Trust Adversarial Robustness in Machine Learning Ethics and Social Impacts of AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN