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This paper introduces Harness-G, a graph-structured retrieval framework that reformulates free-form query generation as finite action selection to reduce retrieval aliasing in RL-powered search agents. Across six QA benchmarks, Harness-G outperforms the strongest baseline Graph-R1 by 10.74 points at 1.5B and 3.98 points at 3B scale.