NIST OLIR: Invariant Reality Prism (IRP) - Set Theory Mapping for High-Assurance AI Systems [Version 2026-02-05]
Official Mapping for NIST OLIR Program inclusion. This dataset contains the structural mapping of the Invariant Reality Prism (IRP), a Layer-0 deterministic control framework designed for High-Assurance AI Systems. The IRP enforces human sovereignty by applying an Invariant Operational Boundary Rsov=1 to AI agents and quantum simulations. Technical Scope: > This version is specifically mapped against the NIST Cybersecurity Framework (CSF) 2.0. It defines deterministic supersets over probabilistic controls, ensuring a "Fail-Closed" state in the event of information entropy or mission-critical deviation. Validation: > Validated by the NIST OLIR Program on February 5, 2026, for catalog inclusion as a Hybrid Technical Informative Reference.
Authors
- Pablo Octavio Feria Hernández
Institutions
- Prudential Financial (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-05
- DOI
- https://doi.org/10.5281/zenodo.18498447
- Primary Topic
- Adversarial Robustness in Machine Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00