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Same Request, Different Answer: Quantization Amplifies Cache-Induced Divergence in LLM Serving
Prefix caching, in which a serving engine reuses the key and value tensors of a shared prompt prefix across requests, is enabled by default in the major open-source stacks and treated as a transparent optimization. We measure what it costs in reproducibility, and find that the cost rises sharply wit
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