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Paper · arXiv

EVAF: A Test-Retest Protocol for Selective Parametric Consolidation

Long-running language agents need mechanisms for deciding which experiences should persist after the working context is gone. Retrieval systems can reinsert past text, but they do not by themselves show that an experience has been selectively consolidated into the model's own behavior. We introduce EVAF, an Echo-Valence Attractor Field mechanism for gated LoRA consolidation, and a test-retest protocol for measuring selective parametric consolidation under controlled interference. Across GPT-2 and TinyLlama, EVAF preferentially consolidates high-valence, high-surprise experiences while preserving retrieval-accessible factual memory through a complementary routed memory path. Test-retest me...

AuthorsHaoliang Han
Primary categorycs.LG
Published29 June 2026
Last updated at source29 June 2026
cs.LGcs.AI
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