Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T10:42:12.006170Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2606.30308.
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 2026-07-12T10:42:12.006170Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
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
37 of 37 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ec9330fc-04cf-48ca-95bb-2debad637508 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction HOT3D: Hand and object tracking in 3D from egocentric multi-view videos
Reference 1
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Unavailable: canonical work link unavailable.
Observation e5070e17-771c-461c-8700-334106d133de · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 2
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Observation 40bd7e82-6215-40c4-b210-63bf406fd920 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Hamba: Single-view 3D hand reconstruction with graph-guided bi-scanning mamba
Reference 3
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Observation bb87cf8e-4d04-4193-b48f-dd78e5c14059 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Hmp: Hand motion priors for pose and shape estimation from video
Reference 4
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Observation b38e3b9f-26fb-4d55-bfe3-a87aaacf3c55 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Black, and Otmar Hilliges
Reference 5
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Observation 00e53524-de5e-4d74-aec4-8e247ffc677a · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Unresolved cited work
Reference 6
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Observation c1719dfe-7d40-4362-bd72-be4afd4f6b7a · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Unresolved cited work
Reference 7
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Unavailable: canonical work link unavailable.
Observation eb1b2ee9-4fb8-4087-b34e-0be73c49c00d · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Unresolved cited work
Reference 8
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Unavailable: canonical work link unavailable.
Observation 18f41041-9d0b-46a2-805c-f2c872d509ad · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
Reference 9
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Observation ed56308f-5151-4f36-8796-5c1c842b0e6e · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Unresolved cited work
Reference 10
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Observation 6146606b-6a61-4f20-8cf4-df85d02f8ffa · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction V ACE: All-in- one video creation and editing
Reference 11
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Observation f274ddca-080f-43ba-bd20-575caf0c05d1 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Egomimic: Scaling imitation learning via egocentric video
Reference 12
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Observation 72306f2e-5964-4060-869a-19eecb8291de · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Repurposing diffusion-based image generators for monocular depth estimation
Reference 13
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Observation 5d727ff7-925b-4278-9f77-223a85f2189b · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Omnihands: Towards robust 4d hand mesh recovery via a versatile transformer, 2024
Reference 14
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Observation c4ee356f-6baf-442f-b5c1-4a5aee9c0f84 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction HOI4D: A 4D egocentric dataset for category-level human-object interaction
Reference 15
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Unavailable: canonical work link unavailable.
Observation c7007e1d-52e9-4601-9772-de74520c8e61 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Bringing inputs to shared domains for 3D interacting hands recovery in the wild
Reference 16
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Unavailable: canonical work link unavailable.
Observation 79af4449-6db0-46b3-9a9a-887751a31065 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Emergent temporal correspondences from video diffusion transformers, 2025
Reference 17
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Observation 0afe2dbd-9a77-49dd-b4b6-b34d1a901f07 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Reconstructing hands in 3d with transformers
Reference 18
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Observation a61d995f-ba66-4377-8e2a-aa0635d50a03 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction WiLoR: End-to-end 3D hand localization and reconstruction in-the-wild
Reference 19
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Observation df312763-5eed-4d9a-8e15-07d3b1ef943e · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction 3D hand pose estimation in everyday egocentric images
Reference 20
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Observation 481934eb-e575-4fee-a578-30f6f2ae37f4 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Unresolved cited work
Reference 21
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Observation 198b0281-9ee0-4cf6-8e95-85176c738dd9 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Xperience-10m: A large-scale egocentric multimodal dataset with structured 3d/4d annotations, 2026
Reference 22
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Unavailable: canonical work link unavailable.
Observation f8f85f67-8dba-403d-ba5e-9fa4b281dfbe · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Unresolved cited work
Reference 23
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Observation 75f69600-b723-4d3b-8b9a-458b2ef5df5f · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Repurposing video diffusion transformers for robust point tracking, 2025
Reference 24
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Observation cadca280-c132-4536-ba0d-285cdc304f60 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Emer- gent correspondence from image diffusion
Reference 25
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Observation dd69fd49-43d8-4ae9-b699-33f7b523e190 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Polanía, Yi Yang, Chuhan Zhang, Rishabh Kabra, Anurag Arnab, and Mehdi S
Reference 26
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Observation ac8bc1b6-8fb8-4273-bffb-1f18f05cd485 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Wan: Open and Advanced Large-Scale Video Generative Models
Reference 27
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Observation 4d06b4a5-3169-4328-aeff-123e28602b31 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Hand2world: Autoregressive egocentric interaction generation via free-space hand gestures.arXiv preprint arXiv:2602.09600, 2026
Reference 28
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Observation aff2b58f-b5f0-4f8b-81c3-fe26ca3f08ad · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Sun, Ashley Neall, Tong Wu, Shengqu Cai, and Gordon Wetzstein
Reference 29
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Observation 75af73f5-2dcd-4960-b5d5-79c90fd6c8c7 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Egovla: Learning vision-language-action models from egocentric human videos, 2025
Reference 30
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Observation 6705465f-887c-4e2c-a7c8-8841975c6b27 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction CogVideoX: Text-to-video diffusion models with an expert transformer
Reference 31
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Observation d3b06b44-22d4-4650-b3c5-3c49eb005024 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Unresolved cited work
Reference 32
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Observation 466636b3-aa8e-43dd-a12f-04e26211d369 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Dyn-HaMR: Recovering 4D interacting hand motion from a dynamic camera
Reference 33
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Observation ca081d63-e926-4ad0-893b-a43f23777bb1 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Denoise to track: Harnessing video diffusion priors for robust correspondence, 2025
Reference 34
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Observation b8924658-aaac-4d81-8cfa-9b1d247adc66 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Oakink2: A dataset of bimanual hands-object manipulation in complex task completion, 2024
Reference 35
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Observation fb344113-9bb3-442a-af7e-b5cb97d64de4 · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction HaWoR: World- space hand motion reconstruction from egocentric videos
Reference 36
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Observation bedd6b62-e67e-40d4-a974-8ac0e091628a · outbound
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Egoscale: Scaling dexterous manipulation with diverse egocentric human data, 2026
Reference 37
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No inbound Pith citation observations are available.