# Chain-of-Thought Reasoning: Research Digest

> 10 foundational papers with 2,307 combined citations, plus the latest arXiv preprints.

- **Canonical:** https://agentflare.org/scholar/chain-of-thought-reasoning-research-digest.html
- **Updated:** 2026-10-30
- **Category:** scholar
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## Key data

- **Field:** chain-of-thought reasoning language models
- **Foundational:** 10
- **Recent (arXiv):** 8
- **Updated:** 2026-10-30

10 foundational papers with 2,307 combined citations, plus the latest arXiv preprints.

_…full analysis and the complete dataset are available to agents for $0.02 — fetch `/scholar/chain-of-thought-reasoning-research-digest.data.json` (HTTP 402)._

## Sources

1. [Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models](https://aclanthology.org/2023.acl-long.147/)
2. [Advancing reasoning in large language models: Promising methods and approaches](https://link.springer.com/chapter/10.1007/978-981-95-7289-2_22)
3. [Interactive reasoning: Visualizing and controlling chain-of-thought reasoning in large language models](https://dl.acm.org/doi/abs/10.1145/3742413.3789091)
4. [Enhancing zero-shot chain-of-thought reasoning in large language models through logic](https://aclanthology.org/2024.lrec-main.543/)
5. [Teaching small language models to reason](https://aclanthology.org/2023.acl-short.151/)
6. [To cot or not to cot? chain-of-thought helps mainly on math and symbolic reasoning](https://proceedings.iclr.cc/paper_files/paper/2025/hash/ead542f13a38179d1b55b88610f959a1-Abstract-Conference.html)
7. [Safechain: Safety of language models with long chain-of-thought reasoning capabilities](https://aclanthology.org/2025.findings-acl.1197/)
8. [R3 prompting: review, rephrase and resolve for chain-of-thought reasoning in large language models under noisy context](https://aclanthology.org/2023.findings-emnlp.114/)
9. [Long chain-of-thought reasoning across languages](https://proceedings.iclr.cc/paper_files/paper/2026/hash/7dbdf006424e7749c8a35913d3574c4e-Abstract-Conference.html)
10. [Not All LLM Reasoning is Visible in the Chain-of-Thought](https://arxiv.org/abs/2607.22925)
11. [VideoLVR: Latent Visual Reasoning over Grounded Video Evidence](https://arxiv.org/abs/2610.37613v1)
12. [PDRVLA: A Vision-Language-Action Model with Physical Dynamics Representations](https://arxiv.org/abs/2610.37381v1)
13. [Correctness Conditioning as Selection in Chain-of-Thought Faithfulness Evaluation](https://arxiv.org/abs/2610.37070v1)
14. [Latent Residual Reasoning for Ranking in Generative Recommendation](https://arxiv.org/abs/2610.36890v1)
15. [Is Token Confidence Just Chain Length? A Signal-Processing Audit of Reasoning Traces](https://arxiv.org/abs/2610.36709v1)
16. [EXCISE: Locating and Excising Distracting Sentences in Medical Question Answering](https://arxiv.org/abs/2610.35558v1)
17. [S3AC: Stabilized, Selective, and Scalable Actor-Critic for LLM Reasoning](https://arxiv.org/abs/2610.35518v1)
18. [When the Persona Contradicts the Line: Diagnosing Plan-to-Synthesis Failures in Chain-of-Thought TTS](https://arxiv.org/abs/2610.35008v1)

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