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Author

Aditi Patodiya

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Preprint Sep 2026

Localizing Post-Wire Semantic Changes in MCP Agent Frameworks

Valid Model Context Protocol (MCP) messages do not guarantee that an agent framework preserves the distinctions downstream software needs. We present a differential testing method that follows a fixed tool result through each framework's public interfaces and checks explicit consumer requirements. Applied to 18 designe...

Aditi Patodiya · 0 citations
#machine learning Preprint Sep 2026

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 with weight quantizatio...

Aditi Patodiya · 0 citations

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