{"total":23,"rows":[{"id":"2505.14362","title":"DeepEyes: Incentivizing \"Thinking with Images\" via Reinforcement Learning","created":"2025-05-20","cited_by_count":410,"area":"lr"},{"id":"2505.23678","title":"Grounded Reinforcement Learning for Visual Reasoning","created":"2025-05-29","cited_by_count":83,"area":"lr"},{"id":"2507.03019","title":"Look-Back: Implicit Visual Re-focusing in MLLM Reasoning","created":"2025-07-02","cited_by_count":55,"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":"2509.18905","title":"How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective","created":"2025-09-23","cited_by_count":43,"area":"lr"},{"id":"2510.25760","title":"Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks","created":"2025-10-29","cited_by_count":33,"area":"lr"},{"id":"2505.16517","title":"ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models","created":"2025-05-22","cited_by_count":27,"area":"lr"},{"id":"2511.15722","title":"Spatial Reasoning in Multimodal Large Language Models: A Survey of Tasks, Benchmarks and Methods","created":"2025-11-14","cited_by_count":23,"area":"lr"},{"id":"2506.07905","title":"WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning","created":"2025-06-09","cited_by_count":21,"area":"lr"},{"id":"2511.15669","title":"DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models","created":"2025-10-31","cited_by_count":18,"area":"lr"},{"id":"2505.18536","title":"Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models","created":"2025-05-24","cited_by_count":14,"area":"lr"},{"id":"2509.25390","title":"SpinBench: Perspective and Rotation as a Lens on Spatial Reasoning in VLMs","created":"2025-09-29","cited_by_count":14,"area":"lr"},{"id":"2505.22050","title":"Reinforced Reasoning for Embodied Planning","created":"2025-05-28","cited_by_count":12,"area":"lr"},{"id":"2505.16663","title":"CoNav: Collaborative Cross-Modal Reasoning for Embodied Navigation","created":"2025-05-22","cited_by_count":5,"area":"lr"},{"id":"2507.15428","title":"EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent","created":"2025-07-21","cited_by_count":4,"area":"lr"},{"id":"2511.16160","title":"Video2Layout: Recall and Reconstruct Metric-Grounded Cognitive Map for Spatial Reasoning","created":"2025-11-20","cited_by_count":4,"area":"lr"},{"id":"2603.13033","title":"ESPIRE: A Diagnostic Benchmark for Embodied Spatial Reasoning of Vision-Language Models","created":"2026-03-13","cited_by_count":3,"area":"lr"},{"id":"2603.10652","title":"Are Video Reasoning Models Ready to Go Outside?","created":"2026-03-11","cited_by_count":2,"area":"lr"},{"id":"2603.04976","title":"3D-RFT: Reinforcement Fine-Tuning for Video-based 3D Scene Understanding","created":"2026-03-05","cited_by_count":1,"area":"lr"},{"id":"2604.27859","title":"Rethinking Agentic Reinforcement Learning In Large Language Models","created":"2026-04-30","cited_by_count":1,"area":"lr"},{"id":"2609.38716","title":"SpatialCORE: Confidence-Aware Grounded Spatial Reasoning in Large Vision--Language Models","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2609.38717","title":"Soft Spatial Reasoning","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2610.01999","title":"From Reasoning Failures to Composable Video Spatial Intelligence","created":"2026-10-01","cited_by_count":0,"area":"lr"}],"next_cursor":null}