This work proposes Root-Cause Trajectory Attribution (RCTA), a training-free method that organizes original candidate records and explicit handoff instructions for attribution that reaches 24.1% exact root-step accuracy and 51.1% responsible-role accuracy.
Yun-Fei Zhang, Bo-Yu Feng, Chang-Hua Pei et al.· 2 citations
This work introduces RobustSGPO, which specifies the requested edit, constructs and checks the patch, and continues search from either the incumbent or retained snapshots, and reduces source-task degradation after a shift, whereas random retention reaches a higher destination endpoint.
Zi-Bo Zhao, Ji-Jun Shi, Mo-Qing Zhou et al.· 1 citation
This work introduces LongRCA Bench, comprising 1,140 failed trajectories across five domains without injected errors, and presents Root-Cause Trajectory Attribution (RCTA), a training-free method that retrieves candidate error steps from segment summaries and traces them to available earlier handoff instructions.
Yun-Fei Zhang, Bo-Yu Feng, Changhua Pei et al.· 1 citation
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