{"total":29,"rows":[{"id":"2510.12276","title":"Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model","created":"2025-10-14","cited_by_count":134,"area":"vla"},{"id":"2508.10333","title":"ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver","created":"2025-08-14","cited_by_count":81,"area":"vla"},{"id":"2508.19958","title":"Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation","created":"2025-08-27","cited_by_count":48,"area":"vla"},{"id":"2511.01718","title":"Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denoising Diffusion Process","created":"2025-11-03","cited_by_count":39,"area":"vla"},{"id":"2510.24795","title":"A Survey on Efficient Vision-Language-Action Models","created":"2025-10-27","cited_by_count":34,"area":"vla"},{"id":"2602.03782","title":"QVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization","created":"2026-02-03","cited_by_count":28,"area":"vla"},{"id":"2603.19199","title":"FASTER: Rethinking Real-Time Flow VLAs","created":"2026-03-19","cited_by_count":21,"area":"vla"},{"id":"2603.25406","title":"MMaDA-VLA: Large Diffusion Vision-Language-Action Model with Unified Multi-Modal Instruction and Generation","created":"2026-03-26","cited_by_count":10,"area":"vla"},{"id":"2602.22663","title":"Rethinking the Practicality of Vision-language-action Model: A Comprehensive Benchmark and An Improved Baseline","created":"2026-02-26","cited_by_count":9,"area":"vla"},{"id":"2603.01581","title":"KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models","created":"2026-03-02","cited_by_count":9,"area":"vla"},{"id":"2603.25661","title":"Fast-dVLA: Accelerating Discrete Diffusion VLA to Real-Time Performance","created":"2026-03-26","cited_by_count":9,"area":"vla"},{"id":"2603.10158","title":"Cross-Hand Latent Representation for Vision-Language-Action Models","created":"2026-03-10","cited_by_count":7,"area":"vla"},{"id":"2603.17573","title":"HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness","created":"2026-03-18","cited_by_count":6,"area":"vla"},{"id":"2511.18082","title":"ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Models","created":"2025-11-22","cited_by_count":5,"area":"vla"},{"id":"2601.14945","title":"TIDAL: Temporally Interleaved Diffusion and Action Loop for High-Frequency VLA Control","created":"2026-01-21","cited_by_count":5,"area":"vla"},{"id":"2603.26320","title":"DFM-VLA: Iterative Action Refinement for Robot Manipulation via Discrete Flow Matching","created":"2026-03-27","cited_by_count":5,"area":"vla"},{"id":"2510.14902","title":"VLA^2: Empowering Vision-Language-Action Models with an Agentic Framework for Unseen Concept Manipulation","created":"2025-10-16","cited_by_count":4,"area":"vla"},{"id":"2512.11362","title":"An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges","created":"2025-12-12","cited_by_count":4,"area":"vla"},{"id":"2605.22283","title":"Spatial Memory for Out-of-Vision Manipulation in Vision-Language-Action","created":"2026-05-21","cited_by_count":4,"area":"vla"},{"id":"2606.05737","title":"Let It Be Simple: One-Step Action Generation for Vision-Language-Action Models","created":"2026-06-04","cited_by_count":3,"area":"vla"},{"id":"2607.12659","title":"Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inference","created":"2026-07-14","cited_by_count":3,"area":"vla"},{"id":"2606.19565","title":"Mix-QVLA: Task-Evidence-Aware Mixed-Precision Quantization of Vision-Language-Action Models","created":"2026-06-17","cited_by_count":2,"area":"vla"},{"id":"2606.22540","title":"PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models","created":"2026-06-21","cited_by_count":2,"area":"vla"},{"id":"2605.16241","title":"Offline Semantic Guidance for Efficient Vision-Language-Action Policy Distillation","created":"2026-05-15","cited_by_count":1,"area":"vla"},{"id":"2604.05323","title":"VLA-InfoEntropy: A Training-Free Vision-Attention Information Entropy Approach for Vision-Language-Action Models Inference Acceleration and Success","created":"2026-04-07","cited_by_count":0,"area":"vla"},{"id":"2604.17706","title":"OmniVLA-RL: A Vision-Language-Action Model with Spatial Understanding and Online RL","created":"2026-04-20","cited_by_count":0,"area":"vla"},{"id":"2609.30833","title":"Fast Plans, Faithful Actions: Closing the Planning-Execution Gap in Hierarchical Vision-Language-Action Models","created":"2026-09-25","cited_by_count":0,"area":"vla"},{"id":"2609.34319","title":"Text-Vision Synergistic Token Caching: A Training-Free Framework for Efficient Vision-Language-Action Inference","created":"2026-09-28","cited_by_count":0,"area":"vla"},{"id":"2609.39526","title":"Discrete Forcing: Infusing Discrete Guidance into Continuous Denoising for Few-Step Action Experts","created":"2026-09-30","cited_by_count":0,"area":"vla"}],"next_cursor":null}