{"total":303,"rows":[{"id":"2602.10098","title":"VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model","created":"2026-02-10","cited_by_count":118,"area":"wm"},{"id":"2604.05014","title":"StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing","created":"2026-04-06","cited_by_count":112,"area":"wm"},{"id":"2602.11236","title":"ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning","created":"2026-02-11","cited_by_count":103,"area":null},{"id":"2605.00078","title":"Being-H0.7: A Latent World-Action Model from Egocentric Videos","created":"2026-04-30","cited_by_count":75,"area":"wm"},{"id":"2605.12090","title":"World Action Models: The Next Frontier in Embodied AI","created":"2026-05-12","cited_by_count":50,"area":"wm"},{"id":"2606.17846","title":"Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models","created":"2026-06-16","cited_by_count":50,"area":null},{"id":"2606.19531","title":"ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing?","created":"2026-06-17","cited_by_count":38,"area":"wm"},{"id":"2603.22078","title":"Do World Action Models Generalize Better than VLAs? A Robustness Study","created":"2026-03-23","cited_by_count":36,"area":"wm"},{"id":"2601.11404","title":"ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models","created":"2026-01-16","cited_by_count":33,"area":"lr"},{"id":"2512.22539","title":"VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models","created":"2025-12-27","cited_by_count":31,"area":"vla"},{"id":"2604.11757","title":"StarVLA-$\\alpha$: Reducing Complexity in Vision-Language-Action Systems","created":"2026-04-13","cited_by_count":31,"area":"vla"},{"id":"2602.17659","title":"When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs","created":"2026-02-19","cited_by_count":30,"area":"vla"},{"id":"2607.00678","title":"ABot-M0.5: Unified Mobility-and-Manipulation World Action Model","created":"2026-07-01","cited_by_count":30,"area":"wm"},{"id":"2605.03269","title":"RLDX-1 Technical Report","created":"2026-05-05","cited_by_count":28,"area":"vla"},{"id":"2605.06481","title":"OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation","created":"2026-05-07","cited_by_count":28,"area":"wm"},{"id":"2511.15605","title":"SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models","created":"2025-11-19","cited_by_count":27,"area":"vla"},{"id":"2511.18960","title":"AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention","created":"2025-11-24","cited_by_count":25,"area":"vla"},{"id":"2602.11832","title":"JEPA-VLA: Video Predictive Embedding is Needed for VLA Models","created":"2026-02-12","cited_by_count":24,"area":"mllm"},{"id":"2606.08242","title":"Light-WAM: Efficient World Action Models with State-Fusion Action Decoding","created":"2026-06-06","cited_by_count":23,"area":"wm"},{"id":"2602.06556","title":"LIBERO-X: Robustness Litmus for Vision-Language-Action Models","created":"2026-02-06","cited_by_count":22,"area":"vla"},{"id":"2602.12062","title":"HoloBrain-0 Technical Report","created":"2026-02-12","cited_by_count":21,"area":"vla"},{"id":"2606.16458","title":"RHO: Your Coding Agent is Secretly a Roboticist","created":"2026-06-15","cited_by_count":20,"area":"agents"},{"id":"2511.15669","title":"DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models","created":"2025-10-31","cited_by_count":18,"area":"lr"},{"id":"2511.18810","title":"MergeVLA: Cross-Skill Model Merging Toward a Generalist Vision-Language-Action Agent","created":"2025-11-24","cited_by_count":18,"area":"mllm"},{"id":"2603.09030","title":"PlayWorld: Learning Robot World Models from Autonomous Play","created":"2026-03-09","cited_by_count":18,"area":"wm"},{"id":"2603.22003","title":"VP-VLA: Visual Prompting as an Interface for Vision-Language-Action Models","created":"2026-03-23","cited_by_count":17,"area":"vla"},{"id":"2608.04404","title":"Faster-WAM: Efficient Inference-Time Future Conditioning for Robust World Action Models","created":"2026-08-05","cited_by_count":17,"area":"wm"},{"id":"2603.05487","title":"Observing and Controlling Features in Vision-Language-Action Models","created":"2026-03-05","cited_by_count":16,"area":"vla"},{"id":"2603.10712","title":"FutureVLA: Joint Visuomotor Prediction for Vision-Language-Action Model","created":"2026-03-11","cited_by_count":16,"area":"vla"},{"id":"2605.14950","title":"Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action Model","created":"2026-05-14","cited_by_count":16,"area":"vla"},{"id":"2603.19233","title":"Not All Features Are Created Equal: A Mechanistic Study of Vision-Language-Action Models","created":"2026-03-19","cited_by_count":15,"area":"vla"},{"id":"2608.09381","title":"JEPA-WAM: Learning Vision-Language-Action Policies with Joint-Embedding World Modeling","created":"2026-08-10","cited_by_count":15,"area":"wm"},{"id":"2511.21192","title":"When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models","created":"2025-11-26","cited_by_count":13,"area":"vla"},{"id":"2512.07472","title":"Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation","created":"2025-12-08","cited_by_count":13,"area":"vla"},{"id":"2608.08023","title":"4D-WAM: Infusing Spatiotemporal Awareness into World Action Models through Trajectory Fields","created":"2026-08-08","cited_by_count":13,"area":"wm"},{"id":"2512.02902","title":"VLA Models Are More Generalizable Than You Think: Revisiting Physical and Spatial Modeling","created":"2025-12-02","cited_by_count":12,"area":"vla"},{"id":"2602.18532","title":"VLANeXt: Recipes for Building Strong VLA Models","created":"2026-02-20","cited_by_count":12,"area":"mllm"},{"id":"2603.06001","title":"Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration","created":"2026-03-06","cited_by_count":12,"area":"vla"},{"id":"2606.20781","title":"World Action Models: A Survey","created":"2026-06-18","cited_by_count":12,"area":"wm"},{"id":"2602.17951","title":"ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models","created":"2026-02-20","cited_by_count":11,"area":"vla"},{"id":"2603.25399","title":"LaMP: Learning Vision-Language-Action Policy with 3D Scene Flow as Latent Motion Prior","created":"2026-03-26","cited_by_count":11,"area":"vla"},{"id":"2603.28301","title":"LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models","created":"2026-03-30","cited_by_count":11,"area":"vla"},{"id":"2606.17046","title":"Geometric Action Model for Robot Policy Learning","created":"2026-06-15","cited_by_count":11,"area":"wm"},{"id":"2607.28993","title":"ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts","created":"2026-07-31","cited_by_count":11,"area":"wm"},{"id":"2608.10860","title":"Flex-$\\pi$: A Multi-Stream World-Action Model with Compute Flexibility","created":"2026-08-11","cited_by_count":11,"area":"wm"},{"id":"2605.12369","title":"GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization","created":"2026-05-12","cited_by_count":10,"area":"mllm"},{"id":"2606.09827","title":"MemoryVLA++: Temporal Modeling via Memory and Imagination in Vision-Language-Action Models","created":"2026-06-08","cited_by_count":10,"area":"vla"},{"id":"2606.23686","title":"LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models","created":"2026-06-22","cited_by_count":10,"area":"vla"},{"id":"2604.27472","title":"PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations","created":"2026-04-30","cited_by_count":9,"area":"vla"},{"id":"2605.13119","title":"Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models","created":"2026-05-13","cited_by_count":9,"area":"vla"},{"id":"2605.15705","title":"Feedback World Model Enables Precise Guidance of Diffusion Policy","created":"2026-05-15","cited_by_count":9,"area":"wm"},{"id":"2606.16533","title":"Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI","created":"2026-06-15","cited_by_count":9,"area":"wm"},{"id":"2601.20334","title":"Demonstration-Free Robotic Control via LLM Agents","created":"2026-01-28","cited_by_count":8,"area":"vla"},{"id":"2603.05868","title":"AnyCamVLA: Zero-Shot Camera Adaptation for Viewpoint Robust Vision-Language-Action Models","created":"2026-03-06","cited_by_count":8,"area":"vla"},{"id":"2604.05672","title":"A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model","created":"2026-04-07","cited_by_count":8,"area":"vla"},{"id":"2604.17876","title":"OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation","created":"2026-04-20","cited_by_count":8,"area":"diffusion"},{"id":"2604.23001","title":"Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines","created":"2026-04-24","cited_by_count":8,"area":"vla"},{"id":"2605.19282","title":"Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR","created":"2026-05-19","cited_by_count":8,"area":"lr"},{"id":"2605.21414","title":"PointACT: Vision-Language-Action Models with Multi-Scale Point-Action Interaction","created":"2026-05-20","cited_by_count":8,"area":"vla"},{"id":"2606.10363","title":"HiMem-WAM: Hierarchical Memory-Gated World Action Models for Robotic Manipulation","created":"2026-06-09","cited_by_count":8,"area":"wm"},{"id":"2608.04996","title":"DreamWAM: Beyond RGB Future Prediction for World Action Models","created":"2026-08-05","cited_by_count":8,"area":"wm"},{"id":"2603.09292","title":"See, Plan, Rewind: Progress-Aware Vision-Language-Action Models for Robust Robotic Manipulation","created":"2026-03-10","cited_by_count":7,"area":"vla"},{"id":"2603.25038","title":"$\\pi$, But Make It Fly: Physics-Guided Transfer of VLA Models to Aerial Manipulation","created":"2026-03-26","cited_by_count":7,"area":"vla"},{"id":"2605.02900","title":"Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses","created":"2026-03-28","cited_by_count":7,"area":"safety"},{"id":"2606.03784","title":"Revisiting Embodied Chain-of-Thought for Generalizable Robot Manipulation","created":"2026-06-02","cited_by_count":7,"area":"lr"},{"id":"2602.01662","title":"PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation","created":"2026-02-02","cited_by_count":6,"area":"lr"},{"id":"2603.00592","title":"LangGap: Diagnosing and Closing the Language Gap in Vision-Language-Action Models","created":"2026-02-28","cited_by_count":6,"area":"vla"},{"id":"2604.20834","title":"PokeVLA: Empowering Pocket-Sized Vision-Language-Action Model with Comprehensive World Knowledge Guidance","created":"2026-04-22","cited_by_count":6,"area":"vla"},{"id":"2604.23121","title":"Breaking Lock-In: Preserving Steerability under Low-Data VLA Post-Training","created":"2026-04-25","cited_by_count":6,"area":"vla"},{"id":"2606.11324","title":"Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models","created":"2026-06-09","cited_by_count":6,"area":"lr"},{"id":"2606.29501","title":"Learning Transferable Dynamics Priors from Action to World Modeling","created":"2026-06-28","cited_by_count":6,"area":"wm"},{"id":"2607.13429","title":"Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment","created":"2026-07-15","cited_by_count":6,"area":"mllm"},{"id":"2608.27550","title":"Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models","created":"2026-08-27","cited_by_count":6,"area":"vla"},{"id":"2609.16074","title":"World-Action Models for Robot Learning and Control: A Survey","created":"2026-09-13","cited_by_count":6,"area":"wm"},{"id":"2601.14628","title":"NeuroVLA: A Brain-inspired Embodied Intelligence for Fluid and Fast Reflexive Robotics Control","created":"2026-01-21","cited_by_count":5,"area":null},{"id":"2602.08602","title":"Mimic Intent, Not Just Trajectories","created":"2026-02-09","cited_by_count":5,"area":"vla"},{"id":"2602.20715","title":"IG-RFT: An Interaction-Guided RL Framework for VLA Models in Long-Horizon Robotic Manipulation","created":"2026-02-24","cited_by_count":5,"area":"vla"},{"id":"2603.28545","title":"ManipArena: Comprehensive Real-world Evaluation of Reasoning-Oriented Generalist Robot Manipulation","created":"2026-03-30","cited_by_count":5,"area":"wm"},{"id":"2605.10094","title":"Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs","created":"2026-05-11","cited_by_count":5,"area":"vla"},{"id":"2606.12366","title":"APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies","created":"2026-06-10","cited_by_count":5,"area":"mllm"},{"id":"2607.01067","title":"Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation","created":"2026-07-01","cited_by_count":5,"area":null},{"id":"2608.03727","title":"Track4Action: Distilling World-Centric 3D Tracker into Vision-Language-Action Policies","created":"2026-08-04","cited_by_count":5,"area":"vla"},{"id":"2608.16889","title":"Don't Drop the BATON: Long-Horizon Robot Manipulation via Agentic Subtask Exploration and Transition-aware Memory","created":"2026-08-17","cited_by_count":5,"area":"agents"},{"id":"2608.26645","title":"FLARE: A Failure-Aware Framework for Autonomous Correction and Recovery in Visual-Language Robotic Manipulation","created":"2026-08-27","cited_by_count":5,"area":"vla"},{"id":"2609.02531","title":"Spatially Aware World Action Model via Geometric Latent Diffusion","created":"2026-09-02","cited_by_count":5,"area":"wm"},{"id":"2609.05588","title":"GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation","created":"2026-09-04","cited_by_count":5,"area":"wm"},{"id":"2602.10980","title":"RADAR: Benchmarking Vision-Language-Action Generalization via Real-World Dynamics, Spatial-Physical Intelligence, and Autonomous Evaluation","created":"2026-02-11","cited_by_count":4,"area":"vla"},{"id":"2603.15618","title":"Look Before Acting: Enhancing Vision Foundation Representations for Vision-Language-Action Models","created":"2026-03-16","cited_by_count":4,"area":"vla"},{"id":"2604.04834","title":"E-VLA: Event-Augmented Vision-Language-Action Model for Dark and Blurred Scenes","created":"2026-04-06","cited_by_count":4,"area":"vla"},{"id":"2605.07381","title":"Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation","created":"2026-05-08","cited_by_count":4,"area":"vla"},{"id":"2605.08215","title":"Test-Time Training for Visual Foresight Vision-Language-Action Models","created":"2026-05-06","cited_by_count":4,"area":"vla"},{"id":"2605.11817","title":"See What Matters: Differentiable Grid Sample Pruning for Generalizable Vision-Language-Action Model","created":"2026-05-12","cited_by_count":4,"area":"vla"},{"id":"2605.24203","title":"Afford-VLA: Action-Aligned Visual Planning via Internalized Affordance","created":"2026-05-22","cited_by_count":4,"area":"lr"},{"id":"2606.08094","title":"vla.cpp: A Unified Inference Runtime for Vision-Language-Action Models","created":"2026-06-06","cited_by_count":4,"area":"vla"},{"id":"2606.18043","title":"Uncertainty Quantification for Flow-Based Vision-Language-Action Models","created":"2026-06-16","cited_by_count":4,"area":"vla"},{"id":"2607.24159","title":"DeVA: Decoupled Video-Action Model with physical guidance for robot policy learning","created":"2026-07-27","cited_by_count":4,"area":null},{"id":"2607.29613","title":"WCM: A World Critic Model for Vision-Language-Action Reinforcement Learning","created":"2026-07-31","cited_by_count":4,"area":"vla"},{"id":"2608.11605","title":"Foresight Without Seeing: Latent Futures for World Action Models","created":"2026-08-12","cited_by_count":4,"area":"wm"},{"id":"2608.11671","title":"StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models","created":"2026-08-12","cited_by_count":4,"area":"vla"},{"id":"2608.19613","title":"What Matters for Latent Actions in Robot Learning","created":"2026-08-20","cited_by_count":4,"area":null}],"next_cursor":"100"}