Codex Benchmark: Governed Evolution vs Ungated Baselines

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Authors: Kemar Armando Morrison
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Abstract

This document specifies a minimal, reproducible benchmark that tests a single architectural claim: Claim (empirical): For matched seeds, compute, and training schedule, an admissibility- before-commit update rule reduces long-horizon drift and fabrication-like failure modes compared to an ungated baseline, without collapsing task performance. This benchmark is intentionally system-agnostic. It does not require disclosure of proprietary invariants. It evaluates the observable consequence of governed updates: bounded behavior under long-horizon stress.

Fields of Study & Subjects

Adversarial Robustness in Machine Learning Software Engineering Research Ethics and Social Impacts of AI

Publication details

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