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