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Paper Citation Record · LEDGER

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video

As of 17 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 7 inbound Pith citation observations for arXiv:2506.07489.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.07489 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:38:43.593063Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:29:41.588658Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T19:40:06.079138Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e5cbd9a3-74fd-421e-966c-31795eeddac9 · outbound

This paper cites 4d-fy: Text-to-4d generation using hybrid score distillation sampling.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video 4d-fy: Text-to-4d generation using hybrid score distillation sampling

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:40.168261Z digest=sha256:830c47b1b48d69c8aa48f19bdb0bba089eaecdfc3296386cbf9d4f615201d389

Observation bb3e27c8-7606-4eaa-bbfb-56971dc73cb3 · outbound

This paper cites Stable video diffusion: Scaling latent video diffusion models to large datasets, 2023.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Stable video diffusion: Scaling latent video diffusion models to large datasets, 2023

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T05:38:45.809191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:38:40.218124Z digest=sha256:c7ded9285c88afd4c6981cf8dc76341e33e87d884729e64abf856262a8afcff7

Observation 6ec88e55-3b98-4953-b7b1-d548c0cdf33c · outbound

This paper cites Hexplane: A fast representation for dynamic scenes.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Hexplane: A fast representation for dynamic scenes

Reference 3

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no resolver link, observed 2026-08-07T05:38:40.308295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:40.308295Z digest=sha256:64496663f332dd448812ffc6242cb9cbf9b54b6f1272537b252984f876f7d2c3

Observation 6818614d-e1bf-489f-b18b-9be00e242d2d · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Objaverse-xl: A universe of 10m+ 3d objects

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T05:38:45.638051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:38:40.402241Z digest=sha256:605d9089b51c4910d4a35bc44ddc1f420e36da439c887ccafb40f16b648527e8

Observation ba81edc3-ae56-4ae4-a9fa-ab7db042f50b · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Objaverse: A universe of annotated 3d objects

Reference 5

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no resolver link, observed 2026-08-07T05:38:40.459912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:40.459912Z digest=sha256:7d81f2549f41b01084d071eb4a776db9b249f2aab8fadd4c01f8d6fb99be16f9

Observation d2ffb2c3-f395-4464-b19d-9c86912a4fbd · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 6

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no resolver link, observed 2026-08-07T05:38:40.543859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:40.543859Z digest=sha256:2ff0eedd5f095256d776eedb664d938e85b4f0f4836e752065faf47fa2427f07

Observation a1e5c058-22dd-486a-8c40-67fc3fb5637a · outbound

This paper cites K-planes: Explicit radiance fields in space, time, and appearance.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video K-planes: Explicit radiance fields in space, time, and appearance

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:45.478430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:38:40.621307Z digest=sha256:1f7cbb3ddfd577396ae38b374584b680b02486052f30e9493625d4fd855f1f83

Observation dbe03762-5044-4375-9d68-183d88ec4aa0 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 8

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no resolver link, observed 2026-08-07T05:38:40.673219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:40.673219Z digest=sha256:d0fe4b115b8608242e3bcd81be298c2e447a26f9d9b3ce0179c1e6cc4dd67339

Observation 7ed8df41-1a59-4a28-ac49-484dd0bde402 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 9

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no resolver link, observed 2026-08-07T05:38:40.745945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:40.745945Z digest=sha256:1867e78d25c6daa57c69d6f47335bcc8f4b28a0d0a4d3a8e7aec680a6b97b0d3

Observation 0908f188-1e4c-4862-9c22-b910cf99d689 · outbound

This paper cites Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Video diffusion models.Advances in Neural Information Processing Systems, 35:8633–8646, 2022

Reference 10

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no resolver link, observed 2026-08-07T05:38:40.851884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:40.851884Z digest=sha256:f8b23cd0347fb2fbd19346782eaa6311f0e925d9a2e4d6c00a5575fb65fd2080

Observation c754790e-fdc9-4675-ad24-78f6f0ea3b87 · outbound

This paper cites Sc-gs: Sparse- controlled gaussian splatting for editable dynamic scenes.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Sc-gs: Sparse- controlled gaussian splatting for editable dynamic scenes

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:45.247451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:38:40.944752Z digest=sha256:63c95a73c2d7396c69978becce9ea2713a8b7ad1d1efbaa9136f70b45a0ff876

Observation cf13ee42-e18e-44a3-ba37-0ed46ff1baac · outbound

This paper cites Consistent4d: Consistent 360° dynamic object generation from monocular video.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Consistent4d: Consistent 360° dynamic object generation from monocular video

Reference 12

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no resolver link, observed 2026-08-07T05:38:41.016337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:41.016337Z digest=sha256:1dc4b634449b778786acc059feccde69915a1894a04e3f993bbaac3cf82c7b4a

Observation 80445da9-83f6-4e89-805c-0436869ce80d · outbound

This paper cites Hifi4g: High-fidelity human performance rendering via compact gaussian splatting.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Hifi4g: High-fidelity human performance rendering via compact gaussian splatting

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:45.059586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:38:41.094111Z digest=sha256:e7e5df559410bcc0e4cf3ca3f57ed9b4b644a74c08a7f96adda99270f3efdaa9

Observation 1c1793ea-5d08-46de-8615-01ff50946ac4 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577, 2022.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Elucidating the design space of diffusion-based generative models.Advances in neural information processing systems, 35:26565–26577, 2022

Reference 14

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no resolver link, observed 2026-08-07T05:38:41.161924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:41.161924Z digest=sha256:a3a50352173c02457568d38e48a370ee0474d63b01c0179f2b75b60224168c70

Observation bd3be9e7-11e5-4d39-a7f0-7f941e9e77e6 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4), July 2023.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4), July 2023

Reference 15

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no resolver link, observed 2026-08-07T05:38:41.276526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:41.276526Z digest=sha256:31468972230baeab7ae5c5a84f29b1e77f4823407ff52903d35146e7d785f266

Observation 6e216199-c1c9-4e6b-9740-86a408672ae7 · outbound

This paper cites Auto-Encoding Variational Bayes.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Auto-Encoding Variational Bayes

Reference 16

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no resolver link, observed 2026-08-07T05:38:41.385083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:41.385083Z digest=sha256:d16d462550c21f1e9482bc45e14a0701e6b57319cd17064d72b97b366b8a767b

Observation 8815286c-d005-42f1-be5d-5961c0fcadf9 · outbound

This paper cites Advances in 3D Generation: A Survey.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Advances in 3D Generation: A Survey

Reference 17

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no resolver link, observed 2026-08-07T05:38:41.476786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:41.476786Z digest=sha256:cc5495629ffa86ba024b4421326ddcad175048ee9cbc7c70e3f91a70f000f610

Observation 47b48863-1056-4dc6-b2e9-84387d65ed88 · outbound

This paper cites Dreammesh4d: Video-to-4d generation with sparse-controlled gaussian-mesh hybrid representation.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Dreammesh4d: Video-to-4d generation with sparse-controlled gaussian-mesh hybrid representation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:44.837271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:38:41.546451Z digest=sha256:f7ae4fd9f6b0cfa43f2b6e765fca66342157584e2cd0c490905754ecc74551a2

Observation 093707bf-b48a-4728-b32d-518795dd240a · outbound

This paper cites Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models

Reference 19

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no resolver link, observed 2026-08-07T05:38:41.604685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:41.604685Z digest=sha256:9faf1b31dfc010ede7b384da16dc596f911059d3ba2b817aa4e961b54727d237

Observation d8bf0fa0-3f13-4684-bcef-6abd5f42172f · outbound

This paper cites Zero- 1-to-3: Zero-shot one image to 3d object.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Zero- 1-to-3: Zero-shot one image to 3d object

Reference 20

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no resolver link, observed 2026-08-07T05:38:41.676330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:41.676330Z digest=sha256:ffc7580b7b9c0d6c50294291ea1861dd07c2024a856f982c5c231aae5dd4f258

Observation 8c1358ba-2053-4552-b7fd-67de800202db · outbound

This paper cites Wonder3d: Single image to 3d using cross-domain diffusion.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Wonder3d: Single image to 3d using cross-domain diffusion

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:44.629661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:38:41.757852Z digest=sha256:74dfa059d4fd15ea5af6a6eb300999ef9a4d9b0694ccf8c24fcbd4bef042813a

Observation a0eee5ec-d01e-4c3b-b129-b586c5e4ae39 · outbound

This paper cites Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis

Reference 22

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no resolver link, observed 2026-08-07T05:38:41.826377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:41.826377Z digest=sha256:736fe165f87037cdec054f52c2566faa9fb26ed34d5641f411b531a1f9500e65

Observation 112ee73a-f044-4ab4-a53a-6efa497f12ac · outbound

This paper cites MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling

Reference 23

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no resolver link, observed 2026-08-07T05:38:41.949113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:41.949113Z digest=sha256:da40928aa47ef11f595547a20581b209f5c8f5e6353daf8e831cb84602b6b16e

Observation 67872476-3320-45f8-ab7c-8751ce6cd94f · outbound

This paper cites Nerfies: Deformable neural radiance fields.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Nerfies: Deformable neural radiance fields

Reference 24

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unresolved
no resolver link, observed 2026-08-07T05:38:42.022779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:42.022779Z digest=sha256:350c477167f199426cb5b01f85f53787104c69387b18f1d509fcccc5e32cf4aa

Observation 72bb33aa-e1c2-4f1f-a399-84e6ebbe250b · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video DreamFusion: Text-to-3D using 2D Diffusion

Reference 25

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no resolver link, observed 2026-08-07T05:38:42.109455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:42.109455Z digest=sha256:cf8f4a3afa6f6aa24e3b0f6392558dc1b648225769debae518d3b55710b6fcc7

Observation 266e8238-0d8a-412d-b044-b498b67c4763 · outbound

This paper cites D-nerf: Neural radiance fields for dynamic scenes.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video D-nerf: Neural radiance fields for dynamic scenes

Reference 26

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unresolved
no resolver link, observed 2026-08-07T05:38:42.260399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:42.260399Z digest=sha256:7ce1a27fbf0e38fc776bdd182bfb0326ab7fd90d82a5b202cc38ad350622e9b1

Observation 3b14b778-2398-4126-af66-899109ca78ae · outbound

This paper cites DreamGaussian4D: Generative 4D Gaussian Splatting.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video DreamGaussian4D: Generative 4D Gaussian Splatting

Reference 27

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unresolved
no resolver link, observed 2026-08-07T05:38:42.440369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:42.440369Z digest=sha256:53d8a5f42964915181aa19f02dd87375f6aa8b9caeacbb3f8f9e0032a1b1a3f2

Observation 7a670e9f-308a-4625-b707-acf4805051c5 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video High-resolution image synthesis with latent diffusion models

Reference 28

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unresolved
no resolver link, observed 2026-08-07T05:38:42.494218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:42.494218Z digest=sha256:310dc611ced019c30d42bf2dfa5750913eaf3943f8176065c4bef69f41064994

Observation 1cdbb6ad-2762-496f-8e5c-a479cf49a227 · outbound

This paper cites Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network

Reference 29

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no resolver link, observed 2026-08-07T05:38:42.615167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:42.615167Z digest=sha256:1ebd5a2fc3cbf6478cdd73b49f5a2789064f4e1a584794b2ff1db192b3f29726

Observation 74788e4e-891e-49d6-b8a3-77eea70ed82f · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video MVDream: Multi-view Diffusion for 3D Generation

Reference 30

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no resolver link, observed 2026-08-07T05:38:42.674285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:42.674285Z digest=sha256:b8675f9fdd690d221eb719357807a725515ae147c8b6c51ff6c3d330b4bb556f

Observation 64289c13-4573-4845-a069-68c674e19efd · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 31

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unresolved
no resolver link, observed 2026-08-07T05:38:42.763368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:42.763368Z digest=sha256:1184d452d09c22071c7366de15ea2508340da301ca080a713ceee121f00a097e

Observation b0eab8ad-ee83-4ed6-a3fe-b9031b5d9e74 · outbound

This paper cites Text-To-4D Dynamic Scene Generation.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Text-To-4D Dynamic Scene Generation

Reference 32

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unresolved
no resolver link, observed 2026-08-07T05:38:42.873107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:42.873107Z digest=sha256:98f278ea2246a8c56eef9b290d0f24c5e2378e3e1612627b3a26c09e48232ea8

Observation a730ce77-1e7a-4f66-b9c7-165a80650128 · outbound

This paper cites Sv3d: Novel multi-view synthesis and 3d generation from a single image using latent video diffusion.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Sv3d: Novel multi-view synthesis and 3d generation from a single image using latent video diffusion

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:44.422043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:38:43.030647Z digest=sha256:183208627f463bd2ff11cc0843164a59400f0f34f02ec5ecf7c02e7abc41e116

Observation 34ec2905-ddfc-4c47-9b67-d56b50c7705b · outbound

This paper cites SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:43.148426Z digest=sha256:5d3ad4acad55e0a40ffd8d7f2bf1bd50ee04004a40891a0d27dbad2285bd4b2c

Observation db67f33d-8e90-4029-96e6-fcb089535c6f · outbound

This paper cites GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation

Reference 35

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no resolver link, observed 2026-08-07T05:38:43.279570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:43.279570Z digest=sha256:4d1b80da577df53cf73a9912d9fe276d90c429079489ca9557e8f341b67bd835

Observation 56aa21d8-cea5-4d19-9125-1cab3aaf010d · outbound

This paper cites Stag4d: Spatial-temporal anchored generative 4d gaussians.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video Stag4d: Spatial-temporal anchored generative 4d gaussians

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:44.254863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:38:43.396232Z digest=sha256:38ea32e310f5c44dd072f2d9a217afdfa484ea053ee1e469389d2814e9ea3ddf

Observation 38259e70-3800-41ef-bf91-400c150b8ded · outbound

This paper cites 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models.ACM Transactions on Graphics (TOG), 42(4):1–16, 2023.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models.ACM Transactions on Graphics (TOG), 42(4):1–16, 2023

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:44.081777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:38:43.533660Z digest=sha256:e76e5faaecdc81b88e71965319c4463d57f58c6faace2884b7806ea536a225e0

Observation 08a83523-57c6-400f-b745-5119fce56c42 · outbound

This paper cites MagicPose4D: Crafting Articulated Models with Appearance and Motion Control.

Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video MagicPose4D: Crafting Articulated Models with Appearance and Motion Control

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:43.593063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:43.593063Z digest=sha256:8c9a9e3428bc1c929dac918bb4e6df028bacb04c7f7744ad88cfacd337ad46eb

Pith citing papers

Observation c455aef0-6586-4133-945a-5baf537f6473 · inbound

AnimaX: Animating the Inanimate in 3D with Joint Video-Pose Diffusion Models cites this paper.

AnimaX: Animating the Inanimate in 3D with Joint Video-Pose Diffusion Models Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T18:29:41.588658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:29:41.588658Z digest=sha256:5b6b004c57b7d14de127fb521cc93b44037223a3b25a305f9fb78d7ba630cb4a

Observation 1df22414-dce5-4722-8636-78b9614a68e8 · inbound

Advances in 4D Representation: Geometry, Motion, and Interaction cites this paper.

Advances in 4D Representation: Geometry, Motion, and Interaction Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video

Reference 258

Resolution
unresolved
no resolver link, observed 2026-08-04T08:45:16.802708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:45:16.802708Z digest=sha256:a9ea15c64614203fb1265dff61b461711df7007257f1bd49996a0e3decba6153

Observation 71be14b9-9351-43af-812a-bafe693c67a9 · inbound

MoZoo:Unleashing Video Diffusion power in animal fur and muscle simulation cites this paper.

MoZoo:Unleashing Video Diffusion power in animal fur and muscle simulation Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:55:10.477649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T06:53:13.152677Z digest=sha256:e0f99f8d28e0c497d1ab10bc4eb93a255b9a4c42dc91d3022230d1e35fbdb6c5

Observation b5fd9a27-0f99-443a-adbb-0b0c9656e7ba · inbound

Fast 4D Mesh Generation by Spatio-Temporal Attention Chains cites this paper.

Fast 4D Mesh Generation by Spatio-Temporal Attention Chains Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:53:05.858731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T06:51:05.710817Z digest=sha256:4a89f79e6012a18b3e1a79f0cf99b007d087fa2d22da43b8eff66f9052b283c6

Observation 2840889d-7368-4734-a09d-59735d490b2e · inbound

SkelMo: Universal Skeletal Motion Generation for 3D Rigged Shapes cites this paper.

SkelMo: Universal Skeletal Motion Generation for 3D Rigged Shapes Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:56:16.170466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T15:56:30.929895Z digest=sha256:f89468c601ea429cbd85371e5b0233399bf4b548367ccc819390e2095e94a580

Observation 936396d7-499c-408f-8b2b-51133a7d531b · inbound

SkelMo: Universal Skeletal Motion Generation for 3D Rigged Shapes cites this paper.

SkelMo: Universal Skeletal Motion Generation for 3D Rigged Shapes Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:24:38.716875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T11:07:44.260271Z digest=sha256:8207848b07b79f184b12275ea6fe62dadd254e5a793846d204a8617a1b6221a8

Observation e45270ea-1e2b-41ac-a6b6-2bf90016921b · inbound

Follow Your Track: Precise Skeleton Animation Controlled by 3D Trajectories cites this paper.

Follow Your Track: Precise Skeleton Animation Controlled by 3D Trajectories Drive Any Mesh: 4D Latent Diffusion for Mesh Deformation from Video

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:40:06.080823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-25T21:12:03.751682Z digest=sha256:bfa22514b8f7b34db9e731d20c7c8954dad977a5722d86c10782053268f77d69