{"total":99,"rows":[{"id":"2310.10631","title":"Llemma: An Open Language Model For Mathematics","created":"2023-10-16","cited_by_count":388,"area":"lr"},{"id":"2408.08152","title":"DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search","created":"2024-08-15","cited_by_count":197,"area":"lr"},{"id":"2407.18219","title":"Recursive Introspection: Teaching Language Model Agents How to Self-Improve","created":"2024-07-25","cited_by_count":165,"area":"lr"},{"id":"2502.21321","title":"LLM Post-Training: A Deep Dive into Reasoning Large Language Models","created":"2025-02-28","cited_by_count":135,"area":"lr"},{"id":"2402.12185","title":"ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning","created":"2024-02-19","cited_by_count":128,"area":"lr"},{"id":"2402.06332","title":"InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning","created":"2024-02-09","cited_by_count":119,"area":"lr"},{"id":"2310.10080","title":"Let's reward step by step: Step-Level reward model as the Navigators for Reasoning","created":"2023-10-16","cited_by_count":102,"area":"lr"},{"id":"2507.23726","title":"Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving","created":"2025-07-31","cited_by_count":101,"area":"lr"},{"id":"2308.04371","title":"Cumulative Reasoning with Large Language Models","created":"2023-08-08","cited_by_count":94,"area":"lr"},{"id":"2412.16075","title":"Formal Mathematical Reasoning: A New Frontier in AI","created":"2024-12-20","cited_by_count":81,"area":"lr"},{"id":"2502.00212","title":"STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving","created":"2025-01-31","cited_by_count":79,"area":"lr"},{"id":"2407.10040","title":"Lean-STaR: Learning to Interleave Thinking and Proving","created":"2024-07-14","cited_by_count":68,"area":"lr"},{"id":"2502.12289","title":"Evaluating Step-by-step Reasoning Traces: A Survey","created":"2025-02-17","cited_by_count":63,"area":"lr"},{"id":"2310.05707","title":"Guiding Language Model Reasoning with Planning Tokens","created":"2023-10-09","cited_by_count":58,"area":"lr"},{"id":"2506.08446","title":"A Survey on Large Language Models for Mathematical Reasoning","created":"2025-06-10","cited_by_count":52,"area":"lr"},{"id":"2406.01940","title":"Process-Driven Autoformalization in Lean 4","created":"2024-06-04","cited_by_count":45,"area":"lr"},{"id":"2406.02746","title":"RATT: A Thought Structure for Coherent and Correct LLM Reasoning","created":"2024-06-04","cited_by_count":41,"area":"lr"},{"id":"2502.09061","title":"CRANE: Reasoning with constrained LLM generation","created":"2025-02-13","cited_by_count":38,"area":"lr"},{"id":"2506.21215","title":"Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?","created":"2025-06-26","cited_by_count":38,"area":"lr"},{"id":"2410.06209","title":"LeanAgent: Lifelong Learning for Formal Theorem Proving","created":"2024-10-08","cited_by_count":35,"area":"lr"},{"id":"2505.05758","title":"APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning","created":"2025-05-09","cited_by_count":35,"area":"lr"},{"id":"2507.15225","title":"Solving Formal Math Problems by Decomposition and Iterative Reflection","created":"2025-07-21","cited_by_count":35,"area":"lr"},{"id":"2412.20735","title":"HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving","created":"2024-12-30","cited_by_count":33,"area":"lr"},{"id":"2502.02871","title":"Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning","created":"2025-02-05","cited_by_count":33,"area":"lr"},{"id":"2505.12575","title":"RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics","created":"2025-05-18","cited_by_count":31,"area":"lr"},{"id":"2510.12787","title":"Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics","created":"2025-10-14","cited_by_count":31,"area":"lr"},{"id":"2403.13312","title":"LeanReasoner: Boosting Complex Logical Reasoning with Lean","created":"2024-03-20","cited_by_count":28,"area":"lr"},{"id":"2509.06493","title":"Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers","created":"2025-09-08","cited_by_count":28,"area":"lr"},{"id":"2504.06122","title":"Leanabell-Prover: Posttraining Scaling in Formal Reasoning","created":"2025-04-08","cited_by_count":27,"area":"lr"},{"id":"2407.17227","title":"LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN prover","created":"2024-07-24","cited_by_count":25,"area":"lr"},{"id":"2310.10180","title":"TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models","created":"2023-10-16","cited_by_count":24,"area":"lr"},{"id":"2503.03205","title":"MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving","created":"2025-03-05","cited_by_count":24,"area":"lr"},{"id":"2402.03268","title":"Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation","created":"2024-02-05","cited_by_count":22,"area":"lr"},{"id":"2411.01829","title":"Formal Theorem Proving by Rewarding LLMs to Decompose Proofs Hierarchically","created":"2024-11-04","cited_by_count":22,"area":"lr"},{"id":"2502.02362","title":"Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs","created":"2025-02-04","cited_by_count":22,"area":"lr"},{"id":"2506.07927","title":"Solving Inequality Proofs with Large Language Models","created":"2025-06-09","cited_by_count":21,"area":"lr"},{"id":"2403.04571","title":"Machine learning and information theory concepts towards an AI Mathematician","created":"2024-03-07","cited_by_count":20,"area":"lr"},{"id":"2510.24592","title":"ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization","created":"2025-10-28","cited_by_count":20,"area":"lr"},{"id":"2501.16207","title":"From Informal to Formal -- Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs","created":"2025-01-27","cited_by_count":18,"area":"lr"},{"id":"2505.20613","title":"REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning","created":"2025-05-27","cited_by_count":18,"area":"lr"},{"id":"2502.13834","title":"Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning","created":"2025-02-19","cited_by_count":17,"area":"lr"},{"id":"2402.08147","title":"VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large Language Model, and Tree Search","created":"2024-02-13","cited_by_count":14,"area":"lr"},{"id":"2509.17677","title":"EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving","created":"2025-09-22","cited_by_count":12,"area":"lr"},{"id":"2606.03303","title":"LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks","created":"2026-06-02","cited_by_count":12,"area":"lr"},{"id":"2502.17925","title":"LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction","created":"2025-02-25","cited_by_count":10,"area":"lr"},{"id":"2512.07795","title":"ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning","created":"2025-12-08","cited_by_count":9,"area":"lr"},{"id":"2402.17786","title":"Stepwise Self-Consistent Mathematical Reasoning with Large Language Models","created":"2024-02-24","cited_by_count":8,"area":"lr"},{"id":"2408.11815","title":"Great Memory, Shallow Reasoning: Limits of $k$NN-LMs","created":"2024-08-21","cited_by_count":8,"area":"lr"},{"id":"2409.15454","title":"In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models","created":"2024-09-23","cited_by_count":8,"area":"lr"},{"id":"2403.04017","title":"Learning Guided Automated Reasoning: A Brief Survey","created":"2024-03-06","cited_by_count":7,"area":"lr"},{"id":"2410.13413","title":"Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models","created":"2024-10-17","cited_by_count":7,"area":"lr"},{"id":"2505.03418","title":"Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey","created":"2025-05-06","cited_by_count":6,"area":"lr"},{"id":"2506.10903","title":"Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoning","created":"2025-06-12","cited_by_count":6,"area":"lr"},{"id":"2510.11769","title":"GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving","created":"2025-10-13","cited_by_count":6,"area":"lr"},{"id":"2504.20213","title":"Can Large Language Models Learn Formal Logic? A Data-Driven Training and Evaluation Framework","created":"2025-04-28","cited_by_count":5,"area":"lr"},{"id":"2603.04948","title":"$\\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space","created":"2026-03-05","cited_by_count":5,"area":"lr"},{"id":"2603.19514","title":"Learning to Disprove: Formal Counterexample Generation with Large Language Models","created":"2026-03-19","cited_by_count":5,"area":"lr"},{"id":"2604.04443","title":"DeonticBench: A Benchmark for Reasoning over Rules","created":"2026-04-06","cited_by_count":5,"area":"lr"},{"id":"2608.10916","title":"FaithformBench: Benchmarking Faithfulness of Mathematical Chain-of-Thought Autoformalisation","created":"2026-08-11","cited_by_count":5,"area":"lr"},{"id":"2508.00459","title":"Thinking Machines: Mathematical Reasoning in the Age of LLMs","created":"2025-08-01","cited_by_count":4,"area":"lr"},{"id":"2601.00791","title":"Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning","created":"2026-01-02","cited_by_count":4,"area":"lr"},{"id":"2604.23002","title":"FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean","created":"2026-04-24","cited_by_count":4,"area":"lr"},{"id":"2312.08926","title":"Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent","created":"2023-12-14","cited_by_count":3,"area":"lr"},{"id":"2504.04945","title":"A Llama walks into the 'Bar': Efficient Supervised Fine-Tuning for Legal Reasoning in the Multi-state Bar Exam","created":"2025-04-07","cited_by_count":3,"area":"lr"},{"id":"2603.25810","title":"ExVerus: Verus Proof Repair via Counterexample Reasoning","created":"2026-03-26","cited_by_count":3,"area":"lr"},{"id":"2410.08437","title":"Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks","created":"2024-10-11","cited_by_count":2,"area":"lr"},{"id":"2503.11657","title":"Scaling Natural-Language Graph-Based Test Time Compute for Automated Theorem Proving","created":"2025-02-04","cited_by_count":2,"area":"lr"},{"id":"2512.10187","title":"MINIF2F-DAFNY: LLM-Guided Mathematical Theorem Proving via Auto-Active Verification","created":"2025-12-11","cited_by_count":2,"area":"lr"},{"id":"2602.21585","title":"Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-Preferences","created":"2026-02-25","cited_by_count":2,"area":"lr"},{"id":"2603.08322","title":"Agentic Neurosymbolic Collaboration for Mathematical Discovery: A Case Study in Combinatorial Design","created":"2026-03-09","cited_by_count":2,"area":"lr"},{"id":"2603.28038","title":"Beyond the Answer: Decoding the Behavior of LLMs as Scientific Reasoners","created":"2026-03-30","cited_by_count":2,"area":"lr"},{"id":"2502.18532","title":"CuDIP: Enhancing Theorem Proving in LLMs via Curriculum Learning-based Direct Preference Optimization","created":"2025-02-25","cited_by_count":1,"area":"lr"},{"id":"2505.13252","title":"A Reality Check of Language Models as Formalizers on Constraint Satisfaction Problems","created":"2025-05-19","cited_by_count":1,"area":"lr"},{"id":"2505.18492","title":"Formally Solving Answer-Construction Problems in Lean","created":"2025-05-24","cited_by_count":1,"area":"lr"},{"id":"2506.08171","title":"Worst-Case Symbolic Constraints Analysis and Generalisation with Large Language Models","created":"2025-06-09","cited_by_count":1,"area":"lr"},{"id":"2601.06795","title":"GDEPO: Group Dual-dynamic and Equal-right Advantage Policy Optimization with Enhanced Training Data Utilization for Sample-Constrained Reinforcement Learning","created":"2026-01-11","cited_by_count":1,"area":"lr"},{"id":"2602.10538","title":"Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models","created":"2026-02-11","cited_by_count":1,"area":"lr"},{"id":"2605.07147","title":"MathlibPR: Pull Request Merge-Readiness Benchmark for Formal Mathematical Libraries","created":"2026-05-08","cited_by_count":1,"area":"lr"},{"id":"2605.30914","title":"Automating Formal Verification with Reinforcement Learning and Recursive Inference","created":"2026-05-29","cited_by_count":1,"area":"lr"},{"id":"2606.03144","title":"GTBench: A Curriculum-Grounded Benchmark for Evaluating LLMs as Mathematical Research Assistants in Graph Theory","created":"2026-06-02","cited_by_count":1,"area":"lr"},{"id":"2606.24124","title":"VeryTrace: Verifying Reasoning Traces through Compilable Formalism and Structured Verification","created":"2026-06-23","cited_by_count":1,"area":"lr"},{"id":"2606.28841","title":"LAMP: Lean-based Agentic framework with MCP and Proof Repair","created":"2026-06-27","cited_by_count":1,"area":"lr"},{"id":"2607.17352","title":"Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution","created":"2026-07-19","cited_by_count":1,"area":"lr"},{"id":"2502.00629","title":"Advanced Weakly-Supervised Formula Exploration for Neuro-Symbolic Mathematical Reasoning","created":"2025-02-02","cited_by_count":0,"area":"lr"},{"id":"2603.23964","title":"From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments","created":"2026-03-25","cited_by_count":0,"area":"lr"},{"id":"2604.02709","title":"Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy","created":"2026-04-03","cited_by_count":0,"area":"lr"},{"id":"2604.06401","title":"ProofSketcher: Hybrid LLM + Lightweight Proof Checker for Reliable Math/Logic Reasoning","created":"2026-04-07","cited_by_count":0,"area":"lr"},{"id":"2604.18587","title":"Compile to Compress: Boosting Formal Theorem Provers by Compiler Outputs","created":"2026-03-13","cited_by_count":0,"area":"lr"},{"id":"2605.09012","title":"Re$^2$Math: Benchmarking Theorem Retrieval in Research-Level Mathematics","created":"2026-05-09","cited_by_count":0,"area":"lr"},{"id":"2605.17255","title":"CAM-Bench: A Benchmark for Computational and Applied Mathematics in Lean","created":"2026-05-17","cited_by_count":0,"area":"lr"},{"id":"2605.27014","title":"ReasonOps: A Unified Operational Paradigm for Trustworthy Verified LLM Reasoning","created":"2026-05-26","cited_by_count":0,"area":"lr"},{"id":"2606.06526","title":"CrowdMath: A Dataset of Crowdsourced Mathematical Research Discussions","created":"2026-06-02","cited_by_count":0,"area":"lr"},{"id":"2606.19588","title":"Analyzing the Narration Gap in LLM-Solver Loops","created":"2026-06-17","cited_by_count":0,"area":"lr"},{"id":"2606.28747","title":"Self-Supervised Theorem Discovery in a Formal Axiomatic System","created":"2026-06-27","cited_by_count":0,"area":"lr"},{"id":"2607.12733","title":"LLMs Can See the Smoke but not the Fire: Evaluating Abductive Reasoning with Elenchos","created":"2026-07-14","cited_by_count":0,"area":"lr"},{"id":"2607.23019","title":"Reason Popper-ly: Patching In-Context Reasoning with Inductive Logic Programming","created":"2026-07-25","cited_by_count":0,"area":"lr"},{"id":"2608.28481","title":"NL2AGBench: Benchmarking LLM Auto-Formalization for AlphaGeometry","created":"2026-08-28","cited_by_count":0,"area":"lr"},{"id":"2609.30192","title":"SAGE: Mitigating Long-Horizon Reasoning Biases via Topological Guidance","created":"2026-09-24","cited_by_count":0,"area":"lr"},{"id":"2610.20459","title":"MolLean: A Process-Verifiable Language for Chemical Reasoning","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}