Benchmarking and Training Reward Models for Cross-Source Evidence Grounding in Search Agents

Existing approaches to training and evaluating search agents focus heavily on final-answer quality, largely neglecting how generated answers map back to retrieved evidence. Recent methods track citations to enforce grounding, but citation support alone does not establish source independence or wheth