# Time series reasoning

Area: [LLM reasoning](https://mlsanity.com/lr/index.md). HTML: https://mlsanity.com/lr/time-series-reasoning/

## Key facts

- Time series reasoning: 88 papers on arXiv since 2024 (data through 14 Oct 2026).
- 33 of its 88 mapped papers (38%) cite “ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning” (2024, arXiv 2412.03104).
- 28 of its 88 mapped papers (32%) cite “Language Models Still Struggle to Zero-shot Reason about Time Series” (2024, arXiv 2404.11757).
- 4 new papers 17 Sep–14 Oct.

## Most cited here

- [ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning](https://mlsanity.com/paper/2412.03104/) (2024), cited by 33 papers here
- [Language Models Still Struggle to Zero-shot Reason about Time Series](https://mlsanity.com/paper/2404.11757/) (2024), cited by 28 papers here
- [MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question Answering](https://mlsanity.com/paper/2503.16858/) (2025), cited by 18 papers here
- [Towards Time Series Reasoning with LLMs](https://mlsanity.com/paper/2409.11376/) (2024), cited by 15 papers here
- [A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization](https://mlsanity.com/paper/2411.06018/) (2024), cited by 15 papers here
- [Time Series Forecasting via Reasoning: A Slow-Thinking Approach with Reinforcement Fine-Tuned LLMs](https://mlsanity.com/paper/2506.10630/) (2025), cited by 11 papers here
- [Achieving Time Series Reasoning Requires Rethinking Model Design, Tasks Formulation, and Evaluation](https://mlsanity.com/paper/2502.01477/) (2025), cited by 7 papers here
- [Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights](https://mlsanity.com/paper/2503.01895/) (2025), cited by 7 papers here
- [Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting](https://mlsanity.com/paper/2505.24511/) (2025), cited by 7 papers here
- [TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning](https://mlsanity.com/paper/2506.13705/) (2025), cited by 7 papers here

## New (17 Sep–14 Oct)

- [Is the Future Predictable? Modeling Future Predictability for Reliable Temporal Reasoning](https://mlsanity.com/paper/2610.14073/) (2026-10-08)
- [Lapras: Latent Reasoning for Time Series Language Models](https://mlsanity.com/paper/2610.11111/) (2026-10-08)
- [SEER: Self-Evolving Event Reasoning and Retrieval for Time Series Forecasting](https://mlsanity.com/paper/2610.04109/) (2026-10-02)
- [OpenTSLM TeeMoE: A Unified Time-Series Language Model for Forecasting, Contextual Prediction, and Reasoning](https://mlsanity.com/paper/2609.40265/) (2026-09-30)