QEM Autonomous Final（Quantum-style Episodic Memory Autonomous Final）

Abstract

QEM Autonomous Final represents a paradigm shift from traditional vector storage to an active cognitive construction system. This framework redefines memory as a dynamic, interconnected "entanglement field" rather than passive archives. Its core innovation lies in the Complementary Sublimation mechanism: instead of discarding low-confidence data, the system isolates ("Quarantines") ambiguous samples and processes them through interpolation and perturbation to extract latent patterns ("Sublimation"), converting noise into usable intuition seeds. The architecture utilizes SeedNodes—a differential quantization strategy that stores only the deviation vectors from a centroid (mean vector)—achieving a compression ratio of up to 24:1 while preserving reconstruction capability via the LazyExpander. Built-in audit ledgers, rollback mechanisms, and a "1+(-1)" balanced fusion strategy ensure semantic reliability and reproducibility, making it suitable for long-term cognitive systems, RAG, and artificial consciousness research.