Wasserstein-optimal memory coherence guarantees Zero-hallucination property through strict state consistency Provably stable long-term memory retention
The Problem Current AI memory systems (RAG, vector DBs) suffer from:
Memory drift: Context degradation over time Hallucination: Retrieved memories don't match original context
Cost explosion: Embedding storage/retrieval scales poorly
Coherence loss: No mathematical guarantee of consistency
The Solution: CSNP treats AI memory as a quantum-inspired coherent state with mathematical guarantees derived from optimal transport theory.