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cs.AI2026
On the Divergence of Accuracy and Mechanism Consistency in Time Series World Models
Haochen Zhang, Jiaheng Guo, Zhen Xu +4
A time series world model (TSWM) predicts a controlled system's state from its observed history and planned actions and exogenous inputs. Current approaches build forecasters with…
cs.AI2026
LineupRL: Verifiable Reinforcement Learning for Time Series Captioning via Caption-to-Series Identification
Haochen Zhang, Laura Yao, Zachary Plotkin +2
Time series captioning is a fundamental step in time series understanding and can also serve as the bridge between signal and natural language. Supervised fine-tuning (SFT) relies…