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Long chain-of-thought reasoning substantially increases KV-cache memory during autoregressive decoding, as every generated token introduces new key and value states and causes the cache to grow linearly with decoding length. Existing KV-cache compression methods typically control this growth through token eviction, but...
A2M (Attraction-to-Manipulation), a two-stage black-box framework for hijacking MCP agents, is introduced, a two-stage black-box framework for hijacking MCP agents that motivate stronger tool vetting and runtime isolation in MCP ecosystems.
Results show that persistent program growth can move recurring control out of model context and into low-cost code, yielding reusable specialist agents that remain effective with smaller deployment models.
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