abseeker

This paper proposes Answer-Backtracked Credit Assignment (ABC), a framework that converts sparse trajectory-level outcomes into dense step-level supervision for training long-horizon search agents. The resulting ABSeeker model, built on Qwen3.5-4B, achieves strong results on BrowseComp benchmarks, outperforming same-scale agents and matching larger models.