AI RESEARCH
Tools as Continuous Flow for Evolving Agentic Reasoning
arXiv CS.AI
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ArXi:2605.07339v1 Announce Type: new Large Language Models (LLMs) have nstrated remarkable capabilities in orchestrating tools for reasoning tasks. However, existing methods rely on a step-wise paradigm that lacks a global perspective, which causes error accumulation over long horizons and restricts generalization to unseen tools. To overcome these limitations, we propose Tools as Continuous Flow for Evolving Agentic Reasoning (FlowAgent), which reconceptualizes tool chaining as continuous trajectory generation within a semantic space. To systematically evaluate this paradigm, we