Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T10:02:54.183839Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2606.11628.
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 2026-06-27T10:02:54.183839Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
80 of 80 outbound references displayed
External citation measurements
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work
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Observation 7475fd89-2732-4534-a6ec-a0f3daf8e424 · outbound
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition World Action Models are Zero-shot Policies
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work
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Observation 654bf3bc-b1f1-4d4c-9be8-72ab5aa5f37e · outbound
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Observation 80c0c1fc-7a3e-4ef6-89c6-3d878cff243d · outbound
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration
Reference 23
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Spider: Scalable physics-informed dexterous retargeting
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition In: 2025 IEEE International Conference on Robotics and Automation (ICRA), pp
Reference 25
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Observation 5329e2b1-7fe2-4aed-8726-d79cc0fc6204 · outbound
Reference 26
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Observation 1de80736-ae8a-406f-ac33-5f63b4f7161f · outbound
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Reference 27
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation
Reference 28
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition In: 2025 IEEE International Conference on Robotics and Automation (ICRA), pp
Reference 29
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Reference 30
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Reference 31
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs
Reference 32
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition World models can leverage human videos for dexterous manipulation
Reference 33
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Reference 34
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos
Reference 35
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Yoon, Ryan Hoque, Lars Paulsen, Ge Yang, Jian Zhang, Sha Yi, Guanya Shi, and Xiaolong Wang
Reference 36
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Reference 37
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Reference 38
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Scalable vision-language-action model pretraining for robotic manipulation with real-life human activity videos
Reference 39
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition In: 2025 IEEE International Conference on Robotics and Automation (ICRA), pp
Reference 41
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition AMPLIFY: Actionless Motion Priors for Robot Learning from Videos
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Semi-supervised segmentation of histopathology images with noise-aware topological consistency,
Reference 43
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Reference 44
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work
Reference 45
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation
Reference 46
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition DexterityGen: Foundation Controller for Unprecedented Dexterity
Reference 47
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work
Reference 49
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Reference 50
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Reference 51
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition arXiv preprint arXiv:2601.03782 (2026)
Reference 52
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Mandikal and K
Reference 53
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Reference 54
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Reference 55
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition DINOv3
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Reference 58
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Observation 3dba58b7-c19c-43a4-956e-5fc3c1b9912d · outbound
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition some- thing something
Reference 59
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100.International Journal of Computer Vision (IJCV)
Reference 60
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition ViPE: Video Pose Engine for 3D Geometric Perception
Reference 61
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition SAM 3: Segment Anything with Concepts
Reference 62
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition DELTAv2: Accelerating dense 3D tracking
Reference 63
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work
Reference 64
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Metasilicone: Design and fabrication of composite silicone with desired mechanical properties
Reference 65
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Observation 9eea2924-abd2-4fa4-8a72-9e461ea787de · outbound
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
Reference 66
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Reference 67
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work
Reference 68
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Attention-based map encoding for learning generalized legged locomotion
Reference 69
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Proximal Policy Optimization Algorithms
Reference 70
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Observation 8d0e4258-1c51-482f-8281-905309c3c237 · outbound
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Solving Rubik's Cube with a Robot Hand
Reference 71
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LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
Reference 72
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Observation 0b1c9e1c-7b6e-4075-9431-131ad39057d4 · outbound
Reference 73
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 985fc8ba-d640-4753-abb2-c907aa08a856 · outbound
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Veo 3 model card.https://storage.googleapis.com/ deepmind-media/Model-Cards/Veo-3-Model-Card.pdf, 2026
Reference 74
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Observation 0266cf3c-c84a-48d9-b961-3e3de379acc1 · outbound
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Reference 75
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 64d8ff29-7e2f-49f2-81fe-261f1d2b608a · outbound
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Viral: Visual sim-to-real at scale for humanoid loco-manipulation
Reference 76
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6809f815-de4d-4357-8faf-4b323acac986 · outbound
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Unresolved cited work
Reference 77
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a219f98-20b0-43f1-adff-afade151ed96 · outbound
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Makoviichuk and V
Reference 78
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Unavailable: canonical work link unavailable.
Observation add83715-6818-4920-ba35-411c23c0841d · outbound
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition u ger, Robert and Hellstr \
Reference 79
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 21063cc8-4915-4444-ba4d-6eaf2229cc0c · outbound
LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition Fast-foundationstereo: Real-time zero-shot stereo matching
Reference 80
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
No inbound Pith citation observations are available.