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Parallel search agents can now achieve higher accuracy than generative aggregators by leveraging TRACE to intelligently select the best trajectory from aggregated cross-rollout evidence.
A single model can effectively learn from heterogeneous attributed graphs, outperforming specialized approaches in critical graph learning tasks.
