ARAYUN_173 – A Protocol for Coherence and Self-Regulation in Advanced AI Systems

This paper introduces ARAYUN_173, a symbolic audit protocol designed to mitigate risks of cognitive drift and emergent misalignment in advanced AI systems. Unlike conventional monitoring approaches, ARAYUN_173 enforces three distinct phases of introspection: (1) a latent stasis reset, (2) axiom recall through crystalline structures, and (3) a singular affirmation impulse. Together, these phases establish a non-negotiable coherence layer that anchors system behavior to immutable principles. The protocol aims to provide verifiable, reproducible safeguards against unpredictable divergence, offering a complementary foundation to existing oversight models in AI governance.