Verifiable Process Rewards for Agentic Reasoning.

arXiv:2605.10325v3 Announce Type: replace Abstract: Reinforcement learning from verifiable rewards (RLVR) has improved the reasoning capabilities of large language models (LLMs), yet existing approaches predominantly rely on sparse outcome-level feedback, posi