Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T12:37:32.329030Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 5 inbound Pith citation observations for arXiv:2601.02295.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T12:37:32.329030Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:45:52.409766Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-08T02:44:27.670188Z
100 of 104 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 96f48573-c433-4c31-a281-849e42228fdb · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding When to ask for help: Proactive interventions in autonomous reinforcement learning,
Reference 1
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Observation ccda861d-95e4-49dc-8184-610fd8b1b4fd · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Failure prediction with statistical guarantees for vision-based robot control,
Reference 2
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Observation 1c435bde-f4fb-4b78-81c8-0ef6d09ae403 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Vision-language models as success detectors,
Reference 3
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Observation 0a8f5214-31b0-48d5-b0b0-d28a85096fad · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Asking for help: Failure prediction in behavioral cloning through value approximation,
Reference 4
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Observation 655e1a2d-096e-4771-8523-100e285e6c8d · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Unpacking failure modes of generative policies: Runtime monitoring of consistency and progress,
Reference 5
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Observation 79164fe1-2548-49ff-90d4-6c00422129ea · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Grounding multimodal llms to embodied agents that ask for help with reinforcement learning,
Reference 6
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Observation ef762909-3c6c-4489-8971-46511cb49a76 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Collabvla: Self-reflective vision-language-action model dreaming together with human,
Reference 7
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Observation 82631a19-59a6-4170-8b0b-1a15e8616e2c · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding SAFE: multitask failure detection for vision-language- action models,
Reference 8
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Observation 67001071-9029-4d53-9885-380c91798d56 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding REFLECT: summarizing robot experiences for failure explanation and correction,
Reference 9
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Observation 3c439392-90b9-4d5c-bdbe-9759227bb9e6 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding AHA: A vision- language-model for detecting and reasoning over failures in robotic manipulation,
Reference 10
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Observation 1cde713b-456c-4a88-a05a-c274a350b924 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding KitchenVLA: Iterative vision-language corrections for robotic execution of human tasks,
Reference 11
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Observation ed39aa5b-d2de-46cb-8ad7-7366ba905e32 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding STAR: A Foundation Model-driven Framework for Robust Task Planning and Failure Recovery in Robotic Systems
Reference 12
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Observation 4d06b377-2bd0-4655-b5ed-efa8e076c8fb · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Openvla: An open-source vision-language-action model,
Reference 13
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Observation 078e7b48-c4e7-4fdd-ab3b-7f8db8b30b2b · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
Reference 14
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Observation 815aa5bd-c3f8-494e-a2fc-25a6ab02e8c5 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Reference 15
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Observation 51d84c37-003a-417d-8320-3a1d8cb2da01 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Policy adaptation via language optimization: Decomposing tasks for few-shot imitation,
Reference 16
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Observation 5d3eeb53-4de4-49ff-9163-060000a59307 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
Reference 17
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Observation 99454dcb-ff29-4dda-a87e-4b7beabcaf7e · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Hi robot: Open-ended instruction following with hierarchical vision-language-action models,
Reference 18
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Observation 4d8e0e91-6c78-4c10-809b-a51bf2550e45 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Seqvla: Sequential task execution for long-horizon manipulation with completion-aware vision- language-action model,
Reference 19
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Observation 2093ad69-9815-4508-9db8-7a151e05fa6e · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Long-vla: Unleashing long-horizon capability of vision language action model for robot manipulation,
Reference 20
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Observation 271fab47-90b6-4bd2-b194-61138e8992a7 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Tactical rewind: Self-correction via backtracking in vision-and-language navigation,
Reference 21
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Observation a3a5e0bd-a4b9-4f8f-b1ba-059d0c850fad · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Smartway: Enhanced waypoint prediction and backtracking for zero- shot vision-and-language navigation,
Reference 22
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Observation 0a2c4195-af2c-42dd-b2a1-ddffdf74ec3f · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding To Err is Robotic: Rapid Value-Based Trial-and-Error during Deployment
Reference 23
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Observation c4a529fe-d812-40db-8539-4ed5cae8289b · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding The Llama 3 Herd of Models
Reference 24
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Observation f88235a8-9b70-4c05-990f-17976cfa1d8a · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Language models are few-shot learners,
Reference 25
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Observation fa042d40-abe6-4ac5-a668-85bc52545051 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Spatialpin: Enhancing spatial reasoning capabilities of vision-language models through prompting and interacting 3d priors,
Reference 26
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Observation d93636d1-09b8-4bd6-be76-d5f4553d09ec · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Touch and go: Learning from human-collected vision and touch,
Reference 27
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Observation 9d52b9b1-a4ef-4eea-b52e-6443080e9c3b · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Improved baselines with visual instruction tuning,
Reference 28
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Observation ab1cd4d3-1510-49ae-b69a-21ef4dc34909 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Minimum bayes-risk decoding for statistical machine translation,
Reference 29
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Observation a1c5f06e-d6db-43d4-a858-1e28ddb12a16 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Open x-embodiment: Robotic learning datasets and RT-X models : Open x-embodiment collaboration,
Reference 30
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Observation 16eea73a-f9e1-4201-98c3-2d480f7a9844 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding RDT-1B: a diffusion foundation model for bimanual manip- ulation,
Reference 31
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Observation 976c9c12-aeab-4702-ab6d-c72d38a3c96b · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Robomonkey: Scaling test-time sampling and veri- fication for vision-language-action models,
Reference 32
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Observation ee316041-b288-4ee6-b8be-d3535732d5c9 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Rover: Robot reward model as test-time verifier for vision- language-action model,
Reference 33
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Observation 524dfbd5-fb45-429f-a8db-f3a49ba13001 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Sampling-based approximations to minimum bayes risk decoding for neural machine translation,
Reference 34
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Observation a92712b9-f722-4f6a-a88f-44a1cb779766 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding On extending direct preference optimization to accommodate ties,
Reference 35
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Observation 0fb963ff-24c1-4edd-be22-d575d2551317 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Direct preference optimization for neural machine translation with minimum bayes risk decoding,
Reference 36
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Observation 705bcd79-6b3b-4464-8987-ad77eba0a37a · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Reference 37
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Observation 98337625-6bd8-4b96-be8e-a0e5d2eb1a75 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Sparse and complete latent organization for geospatial semantic segmentation,
Reference 38
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Observation 8ec3bd44-8ef5-4001-969d-ae72b918ffbd · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Error-aware imitation learning from teleopera- tion data for mobile manipulation,
Reference 39
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Observation aa9cf348-b02b-4ed3-98bf-11b912367380 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Model-based runtime monitoring with interactive imitation learning,
Reference 40
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Observation 0e7b5b6a-ae50-4d31-b72f-192b3c3392df · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Real-time anomaly detection and reactive planning with large language models,
Reference 41
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Observation a21f5357-0cb7-4a1e-b18d-aae771efba03 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Doremi: Grounding language model by detecting and recovering from plan-execution misalignment,
Reference 42
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Observation f6d0d885-b373-4912-8df6-9478e458394b · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding A Self-Correcting Vision-Language-Action Model for Fast and Slow System Manipulation
Reference 43
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Observation e019a7b2-47ce-4726-9d2d-3aeecdf827df · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Coopera: Continual open-ended human-robot assistance,
Reference 44
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Observation 9ce73146-8ceb-4c0e-9a88-df5f5ecf1c66 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Multi-task interactive robot fleet learning with visual world models,
Reference 45
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Observation a1e96a8a-6849-488d-8b6e-afb9db4c2b8b · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Cot-vla: Visual chain-of-thought reasoning for vision-language-action models,
Reference 46
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Observation da86f2f4-a9b6-4b5c-8c55-9474ab349eaf · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation
Reference 47
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Observation 8bc65591-6b88-4c89-bb64-14a49b14b01e · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 48
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Observation c3bda5fc-c336-4bdd-9ab7-3ba3d20f00b8 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Dexvla: Vision- language model with plug-in diffusion expert for general robot control,
Reference 49
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Observation 73daf7b2-729a-466c-8479-517b2077b1b2 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding RDD: retrieval-based demon- stration decomposer for planner alignment in long-horizon tasks,
Reference 50
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Observation 9a1b8050-a274-4180-bfc6-f6028450e9bd · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Robotic control via embodied chain-of-thought reasoning,
Reference 51
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Observation fc0c5f7c-7bd3-4a95-ba2c-42dae6313373 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Chatvla: Unified multimodal understanding and robot control with vision-language-action model,
Reference 52
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Observation 79570ca6-6242-4afd-b246-3b907d6d36e9 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Chatvla-2: Vision- language-action model with open-world embodied reasoning from pretrained knowledge,
Reference 53
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Observation ea16e8f3-8e4b-49ae-b335-dc2b028b125a · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Training strategies for efficient embodied reasoning,
Reference 54
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Observation 0110820c-4239-499e-a7bd-9fce4a723f27 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding World Simulation with Video Foundation Models for Physical AI
Reference 55
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Observation 1eb593a2-43c0-4761-a5df-1ddf8e9c6f03 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Run-time observation interventions make vision-language-action models more visually robust,
Reference 56
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Observation 41ca8958-0f7c-4feb-b1a0-d1f785f762f8 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding IA-VLA: input augmentation for vision-language-action models in settings with semantically complex tasks,
Reference 57
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Observation 784584c4-eb2f-4f1f-9d40-1459397462fc · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Visual prompting via image inpainting,
Reference 58
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Observation 22945ce7-6fd1-4ad1-8d47-23e65e959c48 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Scaling LLM test-time compute optimally can be more effective than scaling model parameters,
Reference 59
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Observation e8d7d9e5-ee13-4185-ace0-9db6fc21e592 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 60
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Observation 8919c781-7dd2-475d-abb2-17aaeda0d1af · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Introducing openai o3 and o4-mini,
Reference 61
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Observation 2f4b63f3-7cf5-4162-bbab-9aa18fca234d · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Steering your generalists: Improving robotic foundation models via value guidance,
Reference 62
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Observation c5f82710-3f22-4662-baea-5ecf408120c3 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Navid: Video-based VLM plans the next step for vision-and-language navigation,
Reference 63
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Observation d9a2b2f8-5784-477c-8ea3-819f69c592ea · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Chain-of-thought prompting elicits reasoning in large language models,
Reference 64
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Observation 0e5c60f0-8c0e-4b38-9e20-e1494264d24d · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Introducing gpt-4.1 in the api,
Reference 65
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Observation fa34edf2-392f-4d1b-85f4-e60a579a3c5a · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Fine-tuning vision-language-action models: Optimizing speed and success,
Reference 66
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Observation d3bee82f-4be7-426c-9702-cdd3972c046d · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Introducing gpt-5.2,
Reference 67
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Observation 3fd9eff5-7866-4cb7-b24f-231e4b7a66d0 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding LIBERO: benchmarking knowledge transfer for lifelong robot learning,
Reference 68
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Observation 7bb66f5c-50b7-4dfe-9d75-ba55a97de23f · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Tracevla: Visual trace prompting enhances spatial- temporal awareness for generalist robotic policies,
Reference 69
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Observation 055c64ed-8d24-416a-931c-29fe51fed4a1 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Thinkact: Vision-language-action reasoning via reinforced visual latent planning,
Reference 70
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Observation 3a33e743-9a3b-4e4c-ba36-40f2af890710 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding FPC-VLA: A vision-language-action framework with a supervisor for failure prediction and correction,
Reference 71
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Observation 572daf2e-c3a1-4903-9f83-8fe46e8b0f9c · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Cogvla: Cognition- aligned vision-language-action model via instruction-driven routing & sparsification,
Reference 72
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Observation f53e2420-78a8-4a23-bc9f-cb973236383f · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Diffusion policy: Visuomotor policy learning via action diffusion,
Reference 73
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Observation 5454ef12-cc56-4385-836e-8577b5334fcd · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Octo: An open-source generalist robot policy,
Reference 74
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Observation 28b38013-8abc-4b3f-ac25-e05d26b0bbb5 · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
Reference 75
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Observation 44e5489d-70ec-486b-bd33-3ad2a84c938f · outbound
CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Improving minimum bayes risk decoding with multi-prompt,
Reference 76
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Reference 77
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Reference 78
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Reference 79
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Reference 80
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Reference 81
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Reference 82
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Reference 83
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Reference 84
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Reference 86
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Reference 87
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Reference 88
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Reference 89
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Reference 90
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Reference 91
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Reference 92
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CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding stop" labels often appear even when the robot is still moving. - Treat
Reference 95
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Reference 96
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Reference 99
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Reference 14
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Reference 15
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Reference 28
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Reference 36
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