TimeEvo: Failure-Driven Self-Evolution of a Time Series Agent
TimeEvo is proposed, which clusters an agent's diagnosed failures into capability gaps, plans a measurement for each, synthesizes evidence-only tools that fill them, and admits the candidate library only through a paired admission gate.
Jie Yang, Yan Zheng, Jia-Rui Sun et al.
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