Overview

Reasoning trace analysis examines how language models and agents develop, revise, and use intermediate steps—not just whether their final answers are correct. Researchers study traces with step-level annotations and benchmarks, statistical analyses of text and hidden-state trajectories, and causal tools such as activation patching; they use these methods to detect errors, shortcuts, harmful behavior, and opportunities to stop or compress reasoning. A central tension is that a plausible trace may be invalid or unrelated to the answer, while internal signals can reveal useful information that the visible text omits. Current work therefore seeks evaluations that test trace validity and causal influence while balancing faithfulness, safety, and inference cost.

Latest papers

CardsList

125 papers6 papers in the last four weeks, down 14% on the four weeks before. 0.0% of all new papers.

  1. Knowing When to Escalate: Disagreement Patterns for Uncertainty-Aware Content Moderation

    Oct 26, 2026Michał Wawer, Jarosław A. ChudziakContent ModerationReasoning Trace Analysis

  2. ARBOR: Locating Reasoning Failures in Long Chains of Thought through Reasoning State Tracking

    Oct 15, 2026Huihan Li, Siyuan Wang, Naga Vamsi Ramana Dinavahi +2Reasoning Trace AnalysisLarge Reasoning Models

  3. Effectiveness of Hidden-State Probes for Localizing Reasoning Failures

    Oct 15, 2026Shubham Subhnil, Yannis Belkhiter, Erik Miehling +2Hidden-State ProbingReasoning Trace Analysis

  4. Efficient Safety Guardrails through Latent Dual-Hypothesis Reasoning with On-Demand Trace Reconstruction

    Oct 13, 2026Md Asiful Islam, Fahmida Alam, Mihai SurdeanuLLM GuardrailsLLM Safety

  5. Cognition-Oriented Emotion Tracing from Causes to Consequences in Real-World Social Scenes

    Oct 8, 2026Hao Li, Jinye Zhang, Bobo Li +5Affective ComputingMultimodal Emotion Recognition

  6. Correct Answers, Invalid Traces: What Verifiable Grade-School Math Reveals About Chain-of-Thought Traces

    Sep 29, 2026Ratish Puduppully, Pranabendu Misra, Paarth Iyer +3Faithfulness of Language Model ExplanationsCoT Evaluation

  7. On the Token Value Inequality in Efficient Reasoning

    Sep 27, 2026Runjia Zeng, Hang Hua, Yiyang Liu +5RL for Language Model ReasoningEfficient Language Model Reasoning

  8. From Anomalies to Failures: Constructing Causal Error Graphs for Agentic Trace Diagnosis

    Sep 26, 2026Shu-Xun Yang, Yidong Wang, Zhuoer Feng +7Agent Failure AnalysisReasoning Trace Analysis

  9. Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning

    Sep 8, 2026Mar Gonzàlez I Català, Haitz Sáez de Ocáriz Borde, Davide Murari +3LLM Uncertainty EstimationLLM Reasoning

  10. Constructing and Evaluating Clinical Reasoning Trajectories for Medical Agent

    Sep 4, 2026Yunqi Zhu, Wen Tang, Jinghao Niu +2Reasoning EvaluationClinical Reasoning

  11. Legibility is Not Interpretability: Comparing Judged and Actual Importance in Chain-Of-Thought Reasoning

    Sep 3, 2026Kevin Du, Alexander Hoyle, Laura Ruis +1CoT FaithfulnessProcess Reward Models

  12. The Answer Is Not the Argument

    Aug 31, 2026Will Yeadon, Sergio Juárez, Paul Mackay +5LLM Answer VerificationCoT Monitoring

  13. Cognitive Profiling of LRMs' Reasoning Traces Using Bloom's Taxonomy

    Aug 24, 2026Maria-Eleni Zoumpoulidi, Georgios Paraskevopoulos, Alexandros PotamianosLarge Reasoning ModelsReasoning Trace Analysis

  14. Beyond the Trace: Coupling an Interpretable Reasoning-State Readout to Native MoE Routing

    Aug 18, 2026Kang Chen, Sihan Zhao, Yixin Cao +1Mixture-of-Experts InterpretabilityLLM Interpretability

  15. The Tell-Tale Trace: Detecting Reasoning Failures in LLMs Using Chain-of-Thought Dynamics

    Aug 4, 2026Shashwat Sourav, Aishwarya BalwaniLLM ReliabilityBoolean Satisfiability

  16. HPFA: Hypergraph-Based Paired Failure Attribution for LLM Reasoning

    Aug 3, 2026Runchuan Zhu, Hongbin Lai, Bowen Jiang +4LLM ReasoningReasoning Trace Analysis

  17. A False Average: Pooled CoT-Monitor Accuracy Conceals a Reasoning-Dependent Fragility

    Aug 1, 2026Shikhar Shiromani, Leo Richter, Noah SiegelReward HackingAdversarial Attacks on LLMs

  18. TrAC: Trace-Conditioned Answer Consistency for Efficient Uncertainty Quantification in LLMs

    Aug 1, 2026Dahai Yu, Lin Jiang, Rongchao Xu +1LLM EvaluationReasoning Consistency in Language Models

  19. A Reference-Free Score for Detecting Silent Reasoning Failures in Large Language Models

    Jul 28, 2026Vivek Shukla, Varun Shukla, Atul +2CoT FaithfulnessMathematical Reasoning Benchmarks

  20. Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models

    Jul 24, 2026Junlin Fang, Do Nguyen-Thanh, Xiaogang Xu +2LLM Hallucination DetectionLarge Reasoning Models

  21. How to Build Marcus's Algebraic Mind: From Minsky's Emotion-Machine Viewpoint

    Jul 18, 2026Hiroyuki Chuma, Kanji Otsuka, Yoichi SatoComputational Cognitive ModelingVector Symbolic Architectures

  22. TRACE: An Operational Reasoning Schema for Auditable Agentic Commitments

    Jul 14, 2026Edward Y. Chang, Emily J. ChangData ProvenanceReasoning Evaluation

  23. Detecting Answer-Driven Reasoning in LLM-Based Educational Tutors via Truncated Chain-of-Thought Auditing

    Jul 6, 2026Bonan Shen, Dingyan Shang, Youting Wang +1CoT FaithfulnessIntelligent Tutoring Systems

  24. Reading Between the Dots: Decoding Hidden Computation across Filler Tokens

    Jul 3, 2026Kaley Brauer, Claudio Mayrink Verdun, Samuel MarksLLM AuditingLLM Interpretability