Tool-Call Dependency Structure is Linearly Decodable in LLM Agent Residual Streams 事件
PRODUCT_LAUNCH2026-05-26影响: MEDIUM
Tool-Call Dependency Structure is Linearly Decodable in LLM Agent Residual Streams arXiv:2605.25310v1 Announce Type: new Abstract: Tool-using LLM agents produce trajectories whose calls form a directed dependency graph: earlier tool outputs supply arguments to later calls. Whether this execution structure is represented inside the model is unknown; prior structural probes have targeted static code or chain-of-thought text, not an agent's run-time call graph. A low-capacity edge probe on the res
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Tool-Call Dependency Structure is Linearly Decodable in LLM Agent Residual Streams
ArXiv CS.CL2026-05-26