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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 6 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 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:45:16.802708Z

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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no resolver link, observed 2026-08-07T05:38:40.168261Z

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:38:40.218124Z digest=sha256:d0dd70f93be481e4d4cf7c363726e726600ef7dd4b26aa45045dc25ecf2861be

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:38:40.402241Z digest=sha256:7128f002630c61e0e7184bbbbd7f648120eb69db9cd00d7eb99719dfd62f5f3e

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=sha256:5042cbbf5aa6bd1b3c24e846da05b4e86115ddc2a080fc558e04da060c6b7fdc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:38:40.621307Z digest=sha256:b7f0ab68c2dd9b3791f2d91af1edb96dea5194bdc2557bd4ae5cfbb73ffe0a95

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=sha256:1eed7ee6644488959f482f20fb53d9779a2c31ef6dd5f19a03e4dfd49ac42ed6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:38:40.944752Z digest=sha256:489b897f4162e14fd09fea1959ba8bba597ae81d96fe021b77ec141a3e66ae9e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:38:41.094111Z digest=sha256:b1dae6d4d7323af56223eea3cb023bc2a3a55b9308f4ae469deb02168db76069

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=sha256:3856108241a99b18b0a96642c7ae241fdb90a64a1c90a5fa1fceb8e2606bb8a9

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:d0688adb1b4b426237457033f27580243f0a978e34c9a868eca85fa6a04a9e2e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:38:41.546451Z digest=sha256:cef4316e31969714ff02e1a98bdde889833af9b50611ef16abda44c6d50bd768

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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unresolved
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:e34206a942f6a0cf4aa9c0af72ea184f4a44d290329b34c77dcee1ea472d0bad

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:38:41.757852Z digest=sha256:5f19aa306ab31e8d01838b30da9c1772c160a6a149ee5a06e7917a70867bf74e

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:e43127129abc40869b64c53a75c04a9c0c5d5f43606b8d7421710e9780dd44f1

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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unresolved
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=sha256:1e54d62e3c8e039cc9d2d7ab041010b4fa4e597694f12673dd2fc91d75232d4a

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

Resolution
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=sha256:40ee64aebd8b0dac2422fcf155ce7da9d67e4ae75c9919d5508728d478f69591

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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unresolved
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=sha256:15784c61b793b2008eb8651ba2b0326b6365d99260a040c289286b528be51b52

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=sha256:1d216d1c10e785cdfcb7014781cea59706c7bac3fe0cd2cd71be6b4dd16f768e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:38:43.030647Z digest=sha256:90e9aa83822c6e039c6c39d5ec0860d07d1df6722f70270dafb881c2dd4c7789

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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no resolver link, observed 2026-08-07T05:38:43.148426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:43.148426Z digest=sha256:a2625d62cbd1fdc13a0a945c64f2b04e0abecffe5dbed3f07d44d8ef5d27f307

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:b91750e2e75b931b90160d8f0c29894f9ee1ba9e78858d3c4db19e88d2661984

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:38:43.396232Z digest=sha256:245c3bb24b58d4da6a5373296a7357e7c35b3ee28778be03aa3ef6bc02fa4f8a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:38:43.533660Z digest=sha256:2b8f55d1f828ca3e0302c485de2549fd76d2d0ddf3e1d9fd1405eab36e45d79e

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:f0b8604379bb722337a9569e0320909978c7b52ab46b7a6d1b3a0ef22adf2b25

Pith citing papers

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T06:53:13.152677Z digest=sha256:53c511072b1ef97fc6f3f4b5138761f49f17b2d7c8b04603aaabce4a41a08d80

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T06:51:05.710817Z digest=sha256:04125dd0acff941ac75e5561d2c94689d44c2ea1c8a25d3d01372d82d4ad4be5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T15:56:30.929895Z digest=sha256:1d80be266c7b5d876726ef6095c2ab04076c4725c5e4bafbe607b68e68dec7fc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T11:07:44.260271Z digest=sha256:e34999f17615835a00b581db8b7af7e0e17906ad7a9fcc9b289a5661ac930969

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-25T21:12:03.751682Z digest=sha256:de97abc35259e86917801cdbecfbbe632ef89944d6ce4a95a649f04f9453b79e