The Cognitive Circuit Breaker: A Systems Engineering Framework for Intrinsic AI Reliability

ArXi:2604.13417v1 Announce Type: cross As Large Language Models (LLMs) are increasingly deployed in mission-critical software systems, detecting hallucinations and ``faked truthfulness'' has become a paramount engineering challenge. Current reliability architectures rely heavily on post-generation, black-box mechanisms, such as Retrieval-Augmented Generation (RAG) cross-checking or LLM-as-a-judge evaluators. These extrinsic methods