Preprint
Aug 2026
CaSKG: Counterfactual-Causal Skill Graphs for Scalable Agent Skill Retrieval
CaSKG, a counterfactual-causal skill graph framework that calibrates procedural relations before retrieval, is proposed, position edge-confidence calibration as an effective route to compact and executable skill retrieval at scale.
Zhiyuan Li, Lin-Yuan Gao, Xue-Chun Ding et al.
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