{"total":129,"rows":[{"id":"2603.05488","title":"Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought","created":"2026-03-05","cited_by_count":40,"area":"lr"},{"id":"2509.16679","title":"Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle","created":"2025-09-20","cited_by_count":35,"area":null},{"id":"2509.21128","title":"RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs","created":"2025-09-25","cited_by_count":34,"area":"lr"},{"id":"2510.07364","title":"Base Models Know How to Reason, Thinking Models Learn When","created":"2025-10-08","cited_by_count":27,"area":"lr"},{"id":"2510.13554","title":"Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization","created":"2025-10-15","cited_by_count":25,"area":"lr"},{"id":"2510.00553","title":"On Predictability of Reinforcement Learning Dynamics for Large Language Models","created":"2025-10-01","cited_by_count":23,"area":"lr"},{"id":"2506.22777","title":"Teaching Models to Verbalize Reward Hacking in Chain-of-Thought Reasoning","created":"2025-06-28","cited_by_count":21,"area":"lr"},{"id":"2510.01290","title":"ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning Models","created":"2025-10-01","cited_by_count":21,"area":"lr"},{"id":"2510.09782","title":"The Geometry of Reasoning: Flowing Logics in Representation Space","created":"2025-10-10","cited_by_count":21,"area":"lr"},{"id":"2605.11887","title":"Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models","created":"2026-05-12","cited_by_count":21,"area":"mechinterp"},{"id":"2510.09312","title":"Verifying Chain-of-Thought Reasoning via Its Computational Graph","created":"2025-10-10","cited_by_count":20,"area":"lr"},{"id":"2507.12428","title":"Can We Predict Alignment Before Models Finish Thinking? Towards Monitoring Misaligned Reasoning Models","created":"2025-07-16","cited_by_count":17,"area":"lr"},{"id":"2510.27484","title":"Thought Branches: Interpreting LLM Reasoning Requires Resampling","created":"2025-10-31","cited_by_count":16,"area":"lr"},{"id":"2510.24941","title":"Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought","created":"2025-10-28","cited_by_count":15,"area":"lr"},{"id":"2603.04069","title":"Monitoring Emergent Reward Hacking During Generation via Internal Activations","created":"2026-03-04","cited_by_count":14,"area":"alignment"},{"id":"2509.26628","title":"Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models","created":"2025-09-30","cited_by_count":13,"area":"lr"},{"id":"2603.22117","title":"On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation","created":"2026-03-23","cited_by_count":13,"area":"lr"},{"id":"2511.06419","title":"MONICA: Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models","created":"2025-11-09","cited_by_count":12,"area":"lr"},{"id":"2510.08935","title":"Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval","created":"2025-10-10","cited_by_count":11,"area":"rag"},{"id":"2511.02303","title":"Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation","created":"2025-11-04","cited_by_count":11,"area":"lr"},{"id":"2601.10679","title":"Are Your Reasoning Models Reasoning or Guessing? A Mechanistic Analysis of Hierarchical Reasoning Models","created":"2026-01-15","cited_by_count":10,"area":"lr"},{"id":"2510.27338","title":"Reasoning Models Sometimes Output Illegible Chains of Thought","created":"2025-10-31","cited_by_count":9,"area":"lr"},{"id":"2510.01032","title":"Meaningless Tokens, Meaningful Gains: How Activation Shifts Enhance LLM Reasoning","created":"2025-10-01","cited_by_count":8,"area":"lr"},{"id":"2510.25206","title":"RAVR: Reference-Answer-guided Variational Reasoning for Large Language Models","created":"2025-10-29","cited_by_count":8,"area":"lr"},{"id":"2512.19995","title":"Schoenfeld's Anatomy of Mathematical Reasoning by Language Models","created":"2025-12-23","cited_by_count":8,"area":"lr"},{"id":"2601.03164","title":"WebAnchor: Anchoring Agent Planning to Stabilize Long-Horizon Web Reasoning","created":"2026-01-06","cited_by_count":8,"area":"lr"},{"id":"2601.23163","title":"Probing the Trajectories of Reasoning Traces in Large Language Models","created":"2026-01-30","cited_by_count":7,"area":"lr"},{"id":"2603.05167","title":"C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought Reasoning","created":"2026-03-05","cited_by_count":7,"area":"lr"},{"id":"2608.02657","title":"Your Agentic LLMs Secretly Encode Indirect Prompt-Injection Exposure in Hidden States","created":"2026-08-01","cited_by_count":7,"area":"agents"},{"id":"2508.16599","title":"Humans Perceive Wrong Narratives from AI Reasoning Texts","created":"2025-08-09","cited_by_count":6,"area":null},{"id":"2601.19928","title":"Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures","created":"2026-01-11","cited_by_count":6,"area":"lr"},{"id":"2602.04212","title":"Language Models Struggle to Use Representations Learned In-Context","created":"2026-02-04","cited_by_count":6,"area":"wm"},{"id":"2603.17199","title":"Catching rationalization in the act: detecting motivated reasoning before and after CoT via activation probing","created":"2026-03-17","cited_by_count":6,"area":"lr"},{"id":"2604.06787","title":"When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning","created":"2026-04-08","cited_by_count":6,"area":"lr"},{"id":"2508.14067","title":"Punctuation and Predicates in Language Models","created":"2025-08-11","cited_by_count":5,"area":null},{"id":"2510.19842","title":"DAG-Math: Graph-of-Thought Guided Mathematical Reasoning in LLMs","created":"2025-10-19","cited_by_count":5,"area":"lr"},{"id":"2512.12777","title":"State over Tokens: Characterizing the Role of Reasoning Tokens","created":"2025-12-14","cited_by_count":5,"area":"lr"},{"id":"2601.11517","title":"Do explanations generalize across large reasoning models?","created":"2026-01-16","cited_by_count":5,"area":"lr"},{"id":"2602.10097","title":"Step-resolved data attribution for looped transformers","created":"2026-02-10","cited_by_count":5,"area":null},{"id":"2603.30036","title":"Aligned, Orthogonal or In-conflict: When can we safely optimize Chain-of-Thought?","created":"2026-03-31","cited_by_count":5,"area":"lr"},{"id":"2605.29192","title":"ReasonOps: Operator Segmentation for LLM Reasoning Traces","created":"2026-05-28","cited_by_count":5,"area":"lr"},{"id":"2606.05402","title":"ReasoningFlow: Discourse Structures for Understanding LLM Reasoning Traces","created":"2026-06-03","cited_by_count":5,"area":"lr"},{"id":"2509.07054","title":"Statistical Methods in Generative AI","created":"2025-09-08","cited_by_count":4,"area":null},{"id":"2509.24147","title":"Your thoughts tell who you are: Characterize the reasoning patterns of LRMs","created":"2025-09-29","cited_by_count":4,"area":"lr"},{"id":"2509.24711","title":"Stop Before You Fail: Operational Capability Boundaries for Mitigating Unproductive Reasoning in Large Reasoning Models","created":"2025-09-29","cited_by_count":4,"area":"lr"},{"id":"2603.23607","title":"Reasoning models do not yet follow their reasoning in autonomous driving: The KITScenes LongTail Dataset","created":"2026-03-24","cited_by_count":4,"area":"lr"},{"id":"2604.04720","title":"What Makes Good Multilingual Reasoning? Disentangling Traces with Measurable Features","created":"2026-04-06","cited_by_count":4,"area":"lr"},{"id":"2507.03167","title":"Where Do Reasoning Models Refuse?","created":"2025-07-03","cited_by_count":3,"area":"lr"},{"id":"2510.12063","title":"ThinkPilot: Steering Reasoning Models via Automated Think-prefixes Optimization","created":"2025-10-14","cited_by_count":3,"area":"lr"},{"id":"2510.22437","title":"Modeling Hierarchical Thinking in Large Reasoning Models","created":"2025-10-25","cited_by_count":3,"area":"lr"},{"id":"2601.09805","title":"Improving Chain-of-Thought for Logical Reasoning via Attention-Aware Intervention","created":"2026-01-14","cited_by_count":3,"area":"lr"},{"id":"2601.21183","title":"Sycophantic Anchors: Localizing and Quantifying User Agreement in Reasoning Models","created":"2026-01-29","cited_by_count":3,"area":"lr"},{"id":"2602.02467","title":"Indications of Belief-Guided Agency and Meta-Cognitive Monitoring in Large Language Models","created":"2026-02-02","cited_by_count":3,"area":null},{"id":"2603.00296","title":"Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning","created":"2026-02-27","cited_by_count":3,"area":"lr"},{"id":"2604.01161","title":"Reasoning Shift: How Context Silently Shortens LLM Reasoning","created":"2026-04-01","cited_by_count":3,"area":"lr"},{"id":"2605.25052","title":"Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth","created":"2026-05-24","cited_by_count":3,"area":null},{"id":"2606.10646","title":"How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs","created":"2026-06-09","cited_by_count":3,"area":"lr"},{"id":"2606.20560","title":"How Transparent is DiffusionGemma?","created":"2026-06-18","cited_by_count":3,"area":"lr"},{"id":"2608.03624","title":"LoopMTP: A looped transformer guided by latent multi-token prediction","created":"2026-08-04","cited_by_count":3,"area":null},{"id":"2507.11408","title":"KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?","created":"2025-07-15","cited_by_count":2,"area":"lr"},{"id":"2510.19476","title":"A Concrete Roadmap towards Safety Cases based on Chain-of-Thought Monitoring","created":"2025-10-22","cited_by_count":2,"area":"lr"},{"id":"2510.19875","title":"Stream: Scaling up Mechanistic Interpretability to Long Context in LLMs via Sparse Attention","created":"2025-10-22","cited_by_count":2,"area":"mechinterp"},{"id":"2510.22362","title":"Mapping Faithful Reasoning in Language Models","created":"2025-10-25","cited_by_count":2,"area":"lr"},{"id":"2601.12247","title":"Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models","created":"2026-01-18","cited_by_count":2,"area":"diffusion"},{"id":"2601.13735","title":"Reasoning or Fluency? Dissecting Probabilistic Confidence in Best-of-N Selection","created":"2026-01-20","cited_by_count":2,"area":null},{"id":"2602.08693","title":"Reasoning aligns language models to human cognition","created":"2026-02-09","cited_by_count":2,"area":"lr"},{"id":"2602.14903","title":"The Potential of CoT for Reasoning: A Closer Look at Trace Dynamics","created":"2026-02-16","cited_by_count":2,"area":"lr"},{"id":"2604.22266","title":"Large Language Models Decide Early and Explain Later","created":"2026-04-24","cited_by_count":2,"area":"lr"},{"id":"2604.26355","title":"Shorthand for Thought: Compressing LLM Reasoning via Entropy-Guided Supertokens","created":"2026-04-29","cited_by_count":2,"area":"lr"},{"id":"2606.11172","title":"Predicting Future Behaviors in Reasoning Models Enables Better Steering","created":"2026-06-09","cited_by_count":2,"area":"lr"},{"id":"2606.28186","title":"Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction","created":"2026-06-26","cited_by_count":2,"area":"lr"},{"id":"2606.29315","title":"Hierarchical Experimentalist Agents","created":"2026-06-28","cited_by_count":2,"area":"agents"},{"id":"2511.01311","title":"llmSHAP: A Principled Approach to LLM Explainability","created":"2025-11-03","cited_by_count":1,"area":null},{"id":"2511.17869","title":"The Horcrux: Mechanistically Interpretable Task Decomposition for Detecting and Mitigating Reward Hacking in Embodied AI Systems","created":"2025-11-22","cited_by_count":1,"area":"alignment"},{"id":"2601.11940","title":"Thinking Traps in Long Chain-of-Thought: A Measurable Study and Trap-Aware Adaptive Restart","created":"2026-01-17","cited_by_count":1,"area":"lr"},{"id":"2601.18383","title":"Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models","created":"2026-01-26","cited_by_count":1,"area":"lr"},{"id":"2602.06266","title":"Is my model \"mind blurting\"? Interpreting the dynamics of reasoning tokens with Recurrence Quantification Analysis (RQA)","created":"2026-02-05","cited_by_count":1,"area":"lr"},{"id":"2602.15332","title":"Directional Reasoning Trajectory Change (DRTC): Identifying Critical Trace Segments in Reasoning Models","created":"2026-02-17","cited_by_count":1,"area":"lr"},{"id":"2603.21286","title":"When the Chain Breaks: Interactive Diagnosis of LLM Chain-of-Thought Reasoning Errors","created":"2026-03-22","cited_by_count":1,"area":"lr"},{"id":"2603.22754","title":"PRISM: A Dual View of LLM Reasoning through Semantic Flow and Latent Computation","created":"2026-03-24","cited_by_count":1,"area":"lr"},{"id":"2603.22816","title":"Measuring and curing reasoning rigidity: from decorative chain-of-thought to genuine faithfulness","created":"2026-03-24","cited_by_count":1,"area":"lr"},{"id":"2604.18307","title":"Reasoning Models Know What's Important, and Encode It in Their Activations","created":"2026-04-20","cited_by_count":1,"area":"lr"},{"id":"2604.20564","title":"Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains","created":"2026-04-22","cited_by_count":1,"area":"lr"},{"id":"2605.03205","title":"From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry","created":"2026-05-04","cited_by_count":1,"area":null},{"id":"2605.17113","title":"The Point of No Return: Counterfactual Localization of Deceptive Commitment in Language-Model Reasoning","created":"2026-05-16","cited_by_count":1,"area":"lr"},{"id":"2605.22870","title":"The Readout Shortcut: Positional Number Copying Dominates Arithmetic CoT Readout in Small Language Models","created":"2026-05-20","cited_by_count":1,"area":"lr"},{"id":"2605.28913","title":"Reasoning that Travels: Dissecting How Chain-of-Thought Transfers Across Models","created":"2026-05-27","cited_by_count":1,"area":"lr"},{"id":"2606.04503","title":"Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots","created":"2026-06-03","cited_by_count":1,"area":"lr"},{"id":"2606.26071","title":"Model Forensics: Investigating Whether Concerning Behavior Reflects Misalignment","created":"2026-06-24","cited_by_count":1,"area":null},{"id":"2606.28589","title":"Search for Truth from Reasoning: A Dynamic Representation Editing Framework for Steering LLM Trajectories","created":"2026-06-26","cited_by_count":1,"area":"lr"},{"id":"2607.22098","title":"Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models","created":"2026-07-24","cited_by_count":1,"area":"lr"},{"id":"2608.03291","title":"The Tell-Tale Trace: Detecting Reasoning Failures in LLMs Using Chain-of-Thought Dynamics","created":"2026-08-04","cited_by_count":1,"area":"lr"},{"id":"2608.19611","title":"Forking Fast: Efficiently Estimating Uncertainty Dynamics in Text Generation","created":"2026-08-20","cited_by_count":1,"area":"lr"},{"id":"2608.28623","title":"Looking Again: Measuring Sycophancy in the Reasoning Chains of Multimodal Models Under Pressure","created":"2026-07-30","cited_by_count":1,"area":"lr"},{"id":"2608.29464","title":"Chain-of-Thought Faithfulness of Reasoning Models Varies with Where and How Preference Cues Are Delivered","created":"2026-08-29","cited_by_count":1,"area":"lr"},{"id":"2609.03436","title":"It's the Problem, Not the Path: Budget and Difficulty Confounds in LLM Reasoning Trajectories","created":"2026-09-03","cited_by_count":1,"area":"lr"},{"id":"2609.03633","title":"</think> Doesn't Stop Reasoning: Analysis of Spurious CoT Termination","created":"2026-09-03","cited_by_count":1,"area":"lr"},{"id":"2609.17890","title":"OBC-Prune: Outcome-Based Calibration for Large Reasoning Model Pruning","created":"2026-09-15","cited_by_count":1,"area":"lr"},{"id":"2510.08613","title":"GraphGhost: Tracing Structures Behind Large Language Models","created":"2025-10-07","cited_by_count":0,"area":"lr"},{"id":"2510.13850","title":"Revisiting the UID Hypothesis in LLM Reasoning Traces","created":"2025-10-11","cited_by_count":0,"area":"lr"}],"next_cursor":"100"}