arXiv AI June 8, 2026 By Baoyu Jing, Sanhorn Chen, Lecheng Zheng, Boyu Liu, Zihao Li, Jiaru Zou, Tianxin Wei, Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Yuchen Yan, Dongqi Fu, Jingchao Ni, Jingrui He, Hanghang Tong

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arXiv:2601. 23204v2 Announce Type: replace Abstract: Time series data are integral to critical applications across domains such as finance, healthcare, transportation, and environmental science.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

arXiv AI

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arXiv AI

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By Zhi Chen, Yuxuan Wang, Jialong Wu, Yong Liu, Haoran Zhang, Xingjian Su, Jianmin Wang, Mingsheng Long

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TimeSage-MT: A Multi-Turn Benchmark for Evaluating Agentic Time Series Reasoning

It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks

ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection

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TimeVista: Exploring and Exploiting Vision-Language Models as Judges for Time Series Forecasting