Shared Prefixes, Better Credit: Adaptive Routing for Multi-Agent Reasoning
Multi-agent reasoning (MAR) improves reasoning reliability through iterative solution exchange and refinement. Existing adaptive MAR methods typically learn routing decisions from query-level labels or trajectory-level returns, but such coarse supervision cannot accurately estimate the state-conditioned utility of individual operators in multi-step collaboration. We propose TreeCredit, a shared-prefix credit assignment framework for efficient adaptive MAR. Its core insight is to estimate operato
Record details
Published: 3 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy
Retrieved: 4 August 2026
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ethics.ai (3 August 2026), “Shared Prefixes, Better Credit: Adaptive Routing for Multi-Agent Reasoning,” evidence record 16108, https://ethics.ai/record/16108 (originally published by arXiv cs.AI).
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