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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:40.168261Z digest=sha256:11bd7327d8ab44b8089348f1c0dde3ab25e2c1f28d53bc37c4a7660e720d7d69

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:40.218124Z digest=sha256:62ce414106c77fed3f52612a50887a1fb7f6a71d0ec0e14ee1fe942040544239

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=sha256:48b1424032c727e6b01c70bf950a2dda741f974fca9876cd908531a1f015d3f0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:40.402241Z digest=sha256:c5e4a7ef9b1755489f022d85c1e02c793d80843c1ebf30426998675a8b982606

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:f0d5955956367e3e754536aaa92f8ffa647708a14265a3b5e1e699754861e23d

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=sha256:8477292ce3abdea572a419ad24d9caf952ea5ca8e17cde946f7122c19fde90a5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:40.621307Z digest=sha256:38129c172871241979a9344f6aa651cc4430dfb9bab9c655d98076ab52cd1e5f

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:b35ce2e93765244d9f907cd44224fa832254c9b4cf9e8237988ce082b39768d0

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:e1a44702302293851b7cfa2c7fb1fd4201544f55586b4c9cee9270bb0ba8fecb

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=sha256:1650f40d12b7424714a7d0b20efb6f43acf06dc1847b32bf841dce49d8d3816d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:40.944752Z digest=sha256:3dbc7ca380b114724528b2b1ea4098083c7a8c53053383cf93ddf09a45dc98b6

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=sha256:4002741ca183f91c9231cdbf27a0f98b04db59e29b4d26832d1ecba59196ff8e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:41.094111Z digest=sha256:a24e5546dea56ca03302bac1b455dd9c7a6ba47f889d38109821a31b7dee1ab8

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=sha256:25fc4341b4dc4c7e90a54fbdd95f0bb84825c81773f01a58923f7d6549740ad7

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:bd065454429b886cf5c5ca2f8c42aafda6c3d1c9618c11a12f9981b6986e46cd

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:e9a5b500b5f148ba75a2b0da861178162cddef351fa038d3dbe3f9e1ac9a2dd5

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:ebbbdffaa1c285e7d2cb3c3dd3e5aa97350739c1879ff48e265ef5dab25999bc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:41.546451Z digest=sha256:57f955e75a2de60fe1c8edf9d2b58ad49390494f817e0331374d60e779767324

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=sha256:1b8a16344a2179495850bbd558ade11c8fcf92abebf70bc3bbf806e985f6c4f2

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:d635e9e8d00f8d2937a9afb18dbbbf4a77ce14afcdd740c5780fe6d3003c5ca4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:41.757852Z digest=sha256:f296137b9eb79d779ebc415bd9b9affec35ab838f31c683590faa5a79820529b

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=sha256:4c504e19500e9436122592d4f69d274598d520227373e8c6d5b5fd1c246ba156

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=sha256:9db8b1762123df9e65a69eff46ed447107572d5ec5d36a25bd027cc99fe08bb2

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=sha256:54866843eeec68797d9062309ee7c490ad59bb3f2c140cc5e664ebc4f41b91df

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:ac32bdfcaac2c6c3d8b5f7dc693383c581cfbd1d59778a5e7fce904bbdca0b72

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=sha256:3ac4202a01eec48b47eec654a78eca6ac43fb1a18e6fbef2179a4a259149b045

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:a4162081e7c4361b51cc0a8451969020dfb1c1df6ea8c3b0dd0488937dce3ca5

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=sha256:339cb3fca9022116b8d36c6851b4e17c2abf5a6528623dde924f9ee7c555c500

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:e45e611eabdb5a341c69dc5038cc5b8243ffe9c6c0178e1a03e34b642b8474b0

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=sha256:96fe9aa093c2df0f550ffb955167c53a55097711ce22e87ef203b7367fa29626

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=sha256:1365c81d0ca39b3da0da015631ff6c778877d94354f73bad2006b3946458d05f

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:b2d3732ede52e4467db4b3d5bd0736750e271fc3e85c5420b62e8a5cb3cb8290

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:43.030647Z digest=sha256:a0227baa5a8dcc9aceae4054eef860e126fd1615cc3983e50e95d751a35f5553

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=sha256:1c389b7a539f677e33aa45cb6b84af327496ea43ab00a667e22069990e512377

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=sha256:7ac48426ba9a792bb900c54bd82291e07e9876c83e1def69d8c81389708affac

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:43.396232Z digest=sha256:f06f6a52a136d50e2a6df8b8cc8d6fb95b8fa2be4fde0d10b4188909e131489b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:43.533660Z digest=sha256:525dbabe66416d63a8d1869a7022e35efc500209d9e622c724eb9b3b6623f4f2

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=sha256:4317a39352f012a660096111771fac6152b9a4b1538994f776ea7ed37f8bcca8

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:de49dc818f8a3004cfbfb1758798ce19ad12d8b39811d6e5ae819dc79dedd403

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T06:53:13.152677Z digest=sha256:179a8bec977945acf1aff709c7282a9a6092d7d45cbc11cab1f321b9bffb6af9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T06:51:05.710817Z digest=sha256:d70232aa26763dcb589d23d8caf73cdc3a4ec5f428dd182e2eebf67ddf3d513f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:56:30.929895Z digest=sha256:777f8503c1e09fcb9e7a78cf667e5a3218bc48647ca15f6da41adeeaa2b287d2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T11:07:44.260271Z digest=sha256:0291b8ea789b42902f346dc16276f000b654ccb03463fd10c82c99b6b802af67

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T21:12:03.751682Z digest=sha256:73cc7efe6cdff2270a31f48546918dd49993cb78cd09b8adeade31ae4c97a939