Self-Referential Phase-Locked AI (SRP-AI), an AI framework that utilizes phase-coherent attractor stabilization, missing attractor synthesis, and self-referential cognition. Unlike traditional neural networks that rely on error-minimizing gradient descent, SRP-AI ensures long-term recognition persistence via phase-locking mechanisms.

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