{"total":9,"rows":[{"id":"2510.18874","title":"Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting","created":"2025-10-21","cited_by_count":94,"area":null},{"id":"2511.07317","title":"RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments","created":"2025-11-10","cited_by_count":50,"area":null},{"id":"2508.11356","title":"ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism","created":"2025-08-15","cited_by_count":36,"area":null},{"id":"2510.23393","title":"The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation","created":"2025-10-27","cited_by_count":16,"area":null},{"id":"2601.12186","title":"Aletheia: What Makes RLVR For Code Verifiers Tick?","created":"2026-01-17","cited_by_count":5,"area":null},{"id":"2505.20573","title":"Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2603.14382","title":"StAR: Segment Anything Reasoner","created":"2026-03-15","cited_by_count":2,"area":null},{"id":"2506.08643","title":"MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models","created":"2025-06-10","cited_by_count":0,"area":null},{"id":"2602.19187","title":"Adaptive Problem Generation via Symbolic Representations","created":"2026-02-22","cited_by_count":0,"area":null}],"next_cursor":null}