| _version_ | 1866901622137815040 |
|---|---|
| author | Morrison, Kemar Armando |
| author_facet | Morrison, Kemar Armando |
| contents | <p>This release documents Codex Prototypes v1–v3, a staged computational framework for identity-preserving, governed evolution in long-horizon systems. The prototype series progresses from (i) verified numerical primitives for gradient and Laplacian operators on discrete grids, through (ii) a governed evolution operator enforcing invariant constraints (mass and entropy), to (iii) a pilot-ready control layer incorporating audit logging, tamper-evident records, and stakeholder-facing interfaces.</p> <p> </p> <p>Across the three stages, the prototypes demonstrate internal mathematical consistency, numerical correctness, and the practical viability of invariant-gated updates as a mechanism for reducing uncontrolled drift relative to ungated baselines. Validation is performed through analytic comparison, convergence checks, and controlled simulation studies. The results establish a reliable computational substrate for governed dynamics but do not claim the discovery of new physical laws or empirical validation of natural phenomena.</p> <p> </p> <p>This work contributes a reusable control and governance methodology applicable to AI systems, long-running simulations, and other systems requiring stability, auditability, and constraint preservation over extended horizons.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18071935 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Codex Prototypes v1–v3: What They Do, What They Prove Baselines, AI-Lab Stakeholders, and Pilot-Ready Claims Morrison, Kemar Armando <p>This release documents Codex Prototypes v1–v3, a staged computational framework for identity-preserving, governed evolution in long-horizon systems. The prototype series progresses from (i) verified numerical primitives for gradient and Laplacian operators on discrete grids, through (ii) a governed evolution operator enforcing invariant constraints (mass and entropy), to (iii) a pilot-ready control layer incorporating audit logging, tamper-evident records, and stakeholder-facing interfaces.</p> <p> </p> <p>Across the three stages, the prototypes demonstrate internal mathematical consistency, numerical correctness, and the practical viability of invariant-gated updates as a mechanism for reducing uncontrolled drift relative to ungated baselines. Validation is performed through analytic comparison, convergence checks, and controlled simulation studies. The results establish a reliable computational substrate for governed dynamics but do not claim the discovery of new physical laws or empirical validation of natural phenomena.</p> <p> </p> <p>This work contributes a reusable control and governance methodology applicable to AI systems, long-running simulations, and other systems requiring stability, auditability, and constraint preservation over extended horizons.</p> |
| title | Codex Prototypes v1–v3: What They Do, What They Prove Baselines, AI-Lab Stakeholders, and Pilot-Ready Claims |
| url | https://doi.org/10.5281/zenodo.18071935 |