{"total":34,"rows":[{"id":"2503.15558","title":"Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning","created":"2025-03-18","cited_by_count":164,"area":"lr"},{"id":"2508.02095","title":"VLM4D: Towards Spatiotemporal Awareness in Vision Language Models","created":"2025-08-04","cited_by_count":46,"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":"2510.26802","title":"Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark","created":"2025-10-30","cited_by_count":43,"area":"lr"},{"id":"2505.07538","title":"Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning","created":"2025-05-12","cited_by_count":33,"area":"lr"},{"id":"2607.05391","title":"LLM-as-a-Verifier: A General-Purpose Verification Framework","created":"2026-07-06","cited_by_count":30,"area":"lr"},{"id":"2510.04290","title":"ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation","created":"2025-10-05","cited_by_count":29,"area":"lr"},{"id":"2603.01928","title":"LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving","created":"2026-03-02","cited_by_count":28,"area":"lr"},{"id":"2502.21075","title":"Spatial Reasoning with Denoising Models","created":"2025-02-28","cited_by_count":16,"area":"lr"},{"id":"2505.21653","title":"Think Before You Diffuse: Infusing Physical Rules into Video Diffusion","created":"2025-05-27","cited_by_count":16,"area":"lr"},{"id":"2508.05405","title":"DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning","created":"2025-08-07","cited_by_count":14,"area":"lr"},{"id":"2511.19859","title":"Unifying Perception and Action: A Hybrid-Modality Pipeline with Implicit Visual Chain-of-Thought for Robotic Action Generation","created":"2025-11-25","cited_by_count":14,"area":"lr"},{"id":"2512.02622","title":"RULER-Bench: Probing Rule-based Reasoning Abilities of Next-level Video Generation Models for Vision Foundation Intelligence","created":"2025-12-02","cited_by_count":13,"area":"lr"},{"id":"2601.04575","title":"Scaling Behavior Cloning Improves Causal Reasoning: An Open Model for Real-Time Video Game Playing","created":"2026-01-08","cited_by_count":11,"area":"lr"},{"id":"2603.14526","title":"LatSearch: Latent Reward-Guided Search for Faster Inference-Time Scaling in Video Diffusion","created":"2026-03-15","cited_by_count":10,"area":"lr"},{"id":"2506.04611","title":"Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning","created":"2025-06-05","cited_by_count":9,"area":"lr"},{"id":"2603.30043","title":"Video Models Reason Early: Exploiting Plan Commitment for Maze Solving","created":"2026-03-31","cited_by_count":9,"area":"lr"},{"id":"2503.24320","title":"Can Test-Time Scaling Improve World Foundation Model?","created":"2025-03-31","cited_by_count":7,"area":"lr"},{"id":"2602.13294","title":"VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction","created":"2026-02-09","cited_by_count":7,"area":"lr"},{"id":"2603.09094","title":"Chain of Event-Centric Causal Thought for Physically Plausible Video Generation","created":"2026-03-10","cited_by_count":6,"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":"2603.20194","title":"MME-CoF-Pro: Evaluating Reasoning Coherence in Video Generative Models with Text and Visual Hints","created":"2026-03-20","cited_by_count":5,"area":"lr"},{"id":"2606.02564","title":"VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization","created":"2026-06-01","cited_by_count":5,"area":"lr"},{"id":"2603.23607","title":"Reasoning models do not yet follow their reasoning in autonomous driving: The KITScenes LongTail Dataset","created":"2026-03-24","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":"2602.20323","title":"PhysMem: Scaling Test-Time Memory for Embodied Physical Reasoning","created":"2026-02-23","cited_by_count":2,"area":"lr"},{"id":"2604.22851","title":"EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving","created":"2026-04-22","cited_by_count":2,"area":"lr"},{"id":"2506.10085","title":"VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision-Language Models","created":"2025-06-11","cited_by_count":1,"area":"lr"},{"id":"2605.30900","title":"BilliardPhys-Bench: Benchmarking Physical Reasoning and Visual Dynamics of Multimodal LLMs","created":"2026-05-29","cited_by_count":1,"area":"lr"},{"id":"2607.15278","title":"Hierarchical Denoising For Multi-Step Visual Reasoning","created":"2026-07-16","cited_by_count":1,"area":"lr"},{"id":"2607.06018","title":"RoboTALES: Learning Reasoning-Guided Robot Policies via Task-Aligned Simulated Futures","created":"2026-07-07","cited_by_count":0,"area":"lr"},{"id":"2608.20720","title":"AffordAny: Open-World 3D Affordance Grounding from Monocular RGB Images via Vision-Language-Guided Geometric Reasoning","created":"2026-08-21","cited_by_count":0,"area":"lr"},{"id":"2609.37187","title":"InsightMap: Structured Spatial Modeling for Embodied Multimodal Reasoning","created":"2026-09-29","cited_by_count":0,"area":"lr"},{"id":"2609.38377","title":"PhyProbe: Rethinking Physical Consistency Evaluation in Generated Videos","created":"2026-09-29","cited_by_count":0,"area":"lr"}],"next_cursor":null}