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Paper Citation Record · LEDGER

The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction

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.

pith.paper-citation-record.v1
2606.30308 v2

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measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T10:42:12.006170Z

measured 37 of 37 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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37 of 37 outbound references displayed

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Outbound references

Observation ec9330fc-04cf-48ca-95bb-2debad637508 · outbound

This paper cites HOT3D: Hand and object tracking in 3D from egocentric multi-view videos.

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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Observation e5070e17-771c-461c-8700-334106d133de · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

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

This paper cites Hamba: Single-view 3D hand reconstruction with graph-guided bi-scanning mamba.

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

This paper cites Hmp: Hand motion priors for pose and shape estimation from video.

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

This paper cites Black, and Otmar Hilliges.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Unresolved cited work

Reference 7

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Observation eb1b2ee9-4fb8-4087-b34e-0be73c49c00d · outbound

This paper cites an unresolved cited work.

The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Unresolved cited work

Reference 8

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Observation 18f41041-9d0b-46a2-805c-f2c872d509ad · outbound

This paper cites EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video.

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

This paper cites an unresolved cited work.

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

This paper cites V ACE: All-in- one video creation and editing.

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

This paper cites Egomimic: Scaling imitation learning via egocentric video.

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

This paper cites Repurposing diffusion-based image generators for monocular depth estimation.

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

This paper cites Omnihands: Towards robust 4d hand mesh recovery via a versatile transformer, 2024.

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

This paper cites HOI4D: A 4D egocentric dataset for category-level human-object interaction.

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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Observation c7007e1d-52e9-4601-9772-de74520c8e61 · outbound

This paper cites Bringing inputs to shared domains for 3D interacting hands recovery in the wild.

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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Observation 79af4449-6db0-46b3-9a9a-887751a31065 · outbound

This paper cites Emergent temporal correspondences from video diffusion transformers, 2025.

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

This paper cites Reconstructing hands in 3d with transformers.

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

This paper cites WiLoR: End-to-end 3D hand localization and reconstruction in-the-wild.

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

This paper cites 3D hand pose estimation in everyday egocentric images.

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

This paper cites an unresolved cited work.

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

This paper cites Xperience-10m: A large-scale egocentric multimodal dataset with structured 3d/4d annotations, 2026.

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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Observation f8f85f67-8dba-403d-ba5e-9fa4b281dfbe · outbound

This paper cites an unresolved cited work.

The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Unresolved cited work

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Observation 75f69600-b723-4d3b-8b9a-458b2ef5df5f · outbound

This paper cites Repurposing video diffusion transformers for robust point tracking, 2025.

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

This paper cites Emer- gent correspondence from image diffusion.

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

This paper cites Polanía, Yi Yang, Chuhan Zhang, Rishabh Kabra, Anurag Arnab, and Mehdi S.

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

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

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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source=pdf_text observed=2026-07-12T10:42:12.006170Z digest=sha256:a80091cddc444b7a89e0c1048a4440b15f5a7d15b25c8033a43600aa9e99c1b6

Observation 4d06b4a5-3169-4328-aeff-123e28602b31 · outbound

This paper cites Hand2world: Autoregressive egocentric interaction generation via free-space hand gestures.arXiv preprint arXiv:2602.09600, 2026.

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

This paper cites Sun, Ashley Neall, Tong Wu, Shengqu Cai, and Gordon Wetzstein.

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

This paper cites Egovla: Learning vision-language-action models from egocentric human videos, 2025.

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

This paper cites CogVideoX: Text-to-video diffusion models with an expert transformer.

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

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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

This paper cites Dyn-HaMR: Recovering 4D interacting hand motion from a dynamic camera.

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

This paper cites Denoise to track: Harnessing video diffusion priors for robust correspondence, 2025.

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

This paper cites Oakink2: A dataset of bimanual hands-object manipulation in complex task completion, 2024.

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

This paper cites HaWoR: World- space hand motion reconstruction from egocentric videos.

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

This paper cites Egoscale: Scaling dexterous manipulation with diverse egocentric human data, 2026.

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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