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The paper formalizes the "Knowing-Using Gap" in LLM fine-tuning, where models memorize facts but fail to generalize them. It introduces self-patching intervention and identifies knowledge-circuit misalignment as the root cause, recovering 58-75% of generalization failure with a simple heuristic.