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This paper introduces a diagnostic framework for user-side memory in LLMs, showing that personalization factors into behavioral consistency, factual presence, and factual absence. It demonstrates that no single method (e.g., LoRA vs RAG) excels at all three axes, and highlights an alignment tax on parametric user memory.