Process Reward Agents for Steering Knowledge-Intensive Reasoning
arXiv:2604.09482v1 Announce Type: new
Abstract: Reasoning in knowledge-intensive domains remains challenging as intermediate steps are often not locally verifiable: unlike math or code, evaluating step correctness may require synthesizing clues across…