{"total":33,"rows":[{"id":"2509.08827","title":"A Survey of Reinforcement Learning for Large Reasoning Models","created":"2025-09-10","cited_by_count":180,"area":"lr"},{"id":"2601.12538","title":"A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents","created":"2026-01-18","cited_by_count":50,"area":"lr"},{"id":"2510.11701","title":"Demystifying Reinforcement Learning in Agentic Reasoning","created":"2025-10-13","cited_by_count":33,"area":"lr"},{"id":"2510.13744","title":"Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math","created":"2025-10-15","cited_by_count":22,"area":"lr"},{"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":"2601.14249","title":"Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment","created":"2026-01-20","cited_by_count":13,"area":"lr"},{"id":"2507.23317","title":"Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner","created":"2025-07-31","cited_by_count":11,"area":"lr"},{"id":"2601.18984","title":"Save the Good Prefix: Precise Error Penalization via Process-Supervised RL to Enhance LLM Reasoning","created":"2026-01-26","cited_by_count":11,"area":"lr"},{"id":"2605.02913","title":"Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning","created":"2026-04-08","cited_by_count":9,"area":"lr"},{"id":"2510.01925","title":"Enhancing Large Language Model Reasoning with Reward Models: An Analytical Survey","created":"2025-10-02","cited_by_count":8,"area":"lr"},{"id":"2508.15202","title":"Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models","created":"2025-08-21","cited_by_count":7,"area":"lr"},{"id":"2602.09305","title":"Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation","created":"2026-02-10","cited_by_count":7,"area":"lr"},{"id":"2508.05383","title":"StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models","created":"2025-08-07","cited_by_count":6,"area":"lr"},{"id":"2507.15698","title":"CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models in Mathematical Reasoning","created":"2025-07-21","cited_by_count":5,"area":"lr"},{"id":"2510.06217","title":"TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning","created":"2025-10-07","cited_by_count":5,"area":"lr"},{"id":"2602.08498","title":"Characterizing, Evaluating, and Optimizing Complex Reasoning","created":"2026-02-09","cited_by_count":5,"area":"lr"},{"id":"2604.24198","title":"Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis","created":"2026-04-27","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":"2601.23058","title":"From Absolute to Relative: Rethinking Reward Shaping in Group-Based Reinforcement Learning","created":"2026-01-30","cited_by_count":4,"area":"lr"},{"id":"2602.01070","title":"What If We Allocate Test-Time Compute Adaptively?","created":"2026-02-01","cited_by_count":4,"area":"lr"},{"id":"2510.16449","title":"TrajSelector: Harnessing Latent Representations for Efficient and Effective Best-of-N in Large Reasoning Model","created":"2025-10-18","cited_by_count":3,"area":"lr"},{"id":"2606.18954","title":"GraphPO: Graph-based Policy Optimization for Reasoning Models","created":"2026-06-17","cited_by_count":3,"area":"lr"},{"id":"2510.07774","title":"Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards","created":"2025-10-09","cited_by_count":1,"area":"lr"},{"id":"2601.08440","title":"Incentivizing Cardiologist-Like Reasoning in MLLMs for Interpretable Echocardiographic Diagnosis","created":"2026-01-13","cited_by_count":1,"area":"lr"},{"id":"2606.20740","title":"VeriBound: PAC-Bayesian Generalization Bounds for Process Reward Models Trained with Formal Verification Tools","created":"2026-06-17","cited_by_count":1,"area":"lr"},{"id":"2512.15662","title":"Stepwise Think-Critique: Interleaved Reasoning and Self-Critique in a Single LLM","created":"2025-12-17","cited_by_count":0,"area":"lr"},{"id":"2604.16535","title":"SCATR: Simple Calibrated Test-Time Ranking","created":"2026-04-16","cited_by_count":0,"area":"lr"},{"id":"2605.07139","title":"Structural Rationale Distillation via Reasoning Space Compression","created":"2026-05-08","cited_by_count":0,"area":"lr"},{"id":"2605.24005","title":"LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition","created":"2026-05-19","cited_by_count":0,"area":"lr"},{"id":"2607.19824","title":"Rewarding Better Thinking for LLM Preference Alignment","created":"2026-07-22","cited_by_count":0,"area":"lr"},{"id":"2608.12585","title":"Reasoning Jury: Multi-Model Consensus for Evaluating Reasoning Traces","created":"2026-08-12","cited_by_count":0,"area":"lr"},{"id":"2609.27572","title":"DCRL: Decoupling and Coupling Reinforcement Learning via Policy-Reward Manifold Alignment","created":"2026-09-23","cited_by_count":0,"area":"lr"},{"id":"2609.39402","title":"Advancing Entropy-Level Credit Assignment in RLVR via Proximal Entropy Policy Optimization","created":"2026-09-30","cited_by_count":0,"area":"lr"}],"next_cursor":null}