{"total":27,"rows":[{"id":"2506.17298","title":"Mercury: Ultra-Fast Language Models Based on Diffusion","created":"2025-06-17","cited_by_count":235,"area":"lr"},{"id":"2506.04308","title":"RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics","created":"2025-06-04","cited_by_count":127,"area":"lr"},{"id":"2505.04921","title":"Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models","created":"2025-05-08","cited_by_count":90,"area":"lr"},{"id":"2608.27549","title":"Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning","created":"2026-08-27","cited_by_count":14,"area":"lr"},{"id":"2507.03483","title":"BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset","created":"2025-07-04","cited_by_count":12,"area":"lr"},{"id":"2512.13660","title":"Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics","created":"2025-12-15","cited_by_count":12,"area":"lr"},{"id":"2510.20206","title":"RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling","created":"2025-10-23","cited_by_count":10,"area":"lr"},{"id":"2506.14827","title":"DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning","created":"2025-06-13","cited_by_count":9,"area":"lr"},{"id":"2605.15458","title":"Video Models Can Reason with Verifiable Rewards","created":"2026-05-14","cited_by_count":9,"area":"lr"},{"id":"2602.10042","title":"Fake-HR1: Rethinking Reasoning of Vision Language Model for Synthetic Image Detection","created":"2026-02-10","cited_by_count":8,"area":"lr"},{"id":"2512.09924","title":"Towards Reason-Informed Video Editing in Unified Models with Self-Reflective Learning","created":"2025-12-10","cited_by_count":7,"area":"lr"},{"id":"2603.19235","title":"Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding","created":"2026-03-19","cited_by_count":7,"area":"lr"},{"id":"2505.15173","title":"AvatarShield: Visual Reinforcement Learning for Human-Centric Synthetic Video Detection","created":"2025-05-21","cited_by_count":6,"area":"lr"},{"id":"2604.11789","title":"LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and Generation","created":"2026-04-13","cited_by_count":6,"area":"lr"},{"id":"2510.00483","title":"MathSticks: A Benchmark for Visual Symbolic Compositional Reasoning with Matchstick Puzzles","created":"2025-10-01","cited_by_count":5,"area":"lr"},{"id":"2510.17937","title":"UniRL-Zero: Reinforcement Learning on Unified Models with Joint Language Model and Diffusion Model Experts","created":"2025-10-20","cited_by_count":5,"area":"lr"},{"id":"2511.18373","title":"MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models","created":"2025-11-23","cited_by_count":5,"area":"lr"},{"id":"2502.10954","title":"Learning to Stop Overthinking at Test Time","created":"2025-02-16","cited_by_count":4,"area":"lr"},{"id":"2510.04141","title":"The Artificial Intelligence Cognitive Examination: A Survey on the Evolution of Multimodal Evaluation from Recognition to Reasoning","created":"2025-10-05","cited_by_count":4,"area":"lr"},{"id":"2511.19435","title":"Are Image-to-Video Models Good Zero-Shot Image Editors?","created":"2025-11-24","cited_by_count":4,"area":"lr"},{"id":"2603.27866","title":"Wan-R1: Verifiable-Reinforcement Learning for Video Reasoning","created":"2026-03-29","cited_by_count":4,"area":"lr"},{"id":"2510.24448","title":"Rethinking Visual Intelligence: Insights from Video Pretraining","created":"2025-10-28","cited_by_count":3,"area":"lr"},{"id":"2604.18518","title":"UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models","created":"2026-04-20","cited_by_count":3,"area":"lr"},{"id":"2508.21378","title":"RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic Manipulation","created":"2025-08-29","cited_by_count":2,"area":"lr"},{"id":"2605.19995","title":"CogOmniControl: Reasoning-Driven Controllable Video Generation via Creative Intent Cognition","created":"2026-05-19","cited_by_count":0,"area":"lr"},{"id":"2607.22864","title":"Spatial-IQ: Deconstructing Spatial Intelligence via Hierarchical Capability Tests","created":"2026-07-24","cited_by_count":0,"area":"lr"},{"id":"2608.13095","title":"Semantic Radiance Fields as Simulators for Spatial Reasoning in Real-World Scenes","created":"2026-08-13","cited_by_count":0,"area":"lr"}],"next_cursor":null}