Addressing Retrieval-Equivalence Collapse in Search Agents
July 29, 2026
Harness-G identifies retrieval-equivalence collapse during Search-R1 training, where different query strings yield identical evidence sets. The framework introduces a graph-structured harness to improve credit signals and policy-environment interfaces for RL search agents.
HOW THIS AFFECTS YOU
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builderYou can build more robust search agents by utilizing graph-structured harnesses for better retrieval signal density.
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researcherYou can better optimize RL search agents by addressing the lack of retrieval contrast in training trajectories.