This is an automated rejection. No LLM generated, assisted/co-written, or edited work.
Read full explanation
Most AI governance frameworks address risk management, capability gating, or post-incident analysis. But none explicitly define a structural condition for when human refusal authority must remain effective — before irreversible external impact occurs.
This paper introduces Pre-Critical Recursive Cutoff (PCR-C): a staged infrastructure control framework that defines procedural invalidity conditions for advanced AI systems approaching irreversibility thresholds.
Core claim:
A system is procedurally invalid if human refusal authority is not effective before irreversible external impact occurs.
This is not a policy proposal or implementation prescription. It is a structural boundary condition intended to complement existing frameworks (NIST AI RMF, RSP, OECD, UNESCO) by defining what none of them currently guarantee.
Most AI governance frameworks address risk management, capability gating, or post-incident analysis. But none explicitly define a structural condition for when human refusal authority must remain effective — before irreversible external impact occurs.
This paper introduces Pre-Critical Recursive Cutoff (PCR-C): a staged infrastructure control framework that defines procedural invalidity conditions for advanced AI systems approaching irreversibility thresholds.
Core claim:
A system is procedurally invalid if human refusal authority is not effective before irreversible external impact occurs.
This is not a policy proposal or implementation prescription. It is a structural boundary condition intended to complement existing frameworks (NIST AI RMF, RSP, OECD, UNESCO) by defining what none of them currently guarantee.
Paper (Zenodo DOI):
https://doi.org/10.5281/zenodo.18824181
Framework overview (GitHub):
https://github.com/lumina-30/lumina-30-overview
---
Interested in feedback on the framework structure, boundary condition definition, and scope.
If you are an arXiv endorser in cs.AI and find this work appropriate, endorsement support would also be appreciated.