Author

Qiang Xu

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#artificial intelligence Preprint Sep 2026

When Tomorrow Becomes Today: Self-Evolving Policies for Agentic Time-Series Forecasting

Agentic time series forecasting concerns systems whose underlying mechanisms evolve, making the relative effectiveness of numerical models, reasoning strategies, and intervention rules inherently time-varying. Consequently, a time series agent must adapt the forecasts it produces and the orchestration policy that deter...

Yi-Fan Hu, Xilin Dai, Zhi-Yuan Qu et al. · 1 citation

Jul 2026

Distilling Temporal Search and Reasoning: Evolving LLMs for Future Prediction via Harness-Assisted Efficient Data Synthesis

A time-truncation harness is proposed that enforces a temporal cut-off at every turn, enabling TIR-style sampling from historical events, enabling TIR-style sampling from historical events, reducing temporal leakage and reliance of rejection sampling or unsolved queries, increasing the sampling efficiency.

Wanxu Cai, Zheng-Yu Chen, Huai-Sheng Zhu et al. · arXiv.org · 0 citations