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Paper Citation Record · LEDGER

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis

As of 20 August 2026, this Paper Citation Record lists 100 of 100 outbound references and 8 inbound Pith citation observations for arXiv:2507.23785.

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

pith.paper-citation-record.v1
2507.23785 v1

Coverage vector

measured 100 of 100 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:30:17.965855Z

measured 108 of 108 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:42:49.207199Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:38:29.386344Z

Reference resolution

100 of 100 outbound references displayed

  • verified exact1
  • verified fuzzy26
  • unresolved72
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a38320a6-29e0-4612-83ca-de9fdfdcf4a1 · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis 4d-fy: Text-to-4d generation using hybrid score distillation sampling

Reference 1

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source=pdf_text observed=2026-08-06T10:30:09.088897Z digest=sha256:81a5f74a694cc09e186e7b872b75e49e5df1fc7d930485af50ffb4a0019174f1

Observation 67e934eb-e8ea-47bb-9be7-cfd5c6fae33b · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

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source=pdf_text observed=2026-08-06T10:30:09.143892Z digest=sha256:34e28ed7a3f8cbe7e3dbc941f7f770f2c04949040b90ebb16d0bd4b14555feae

Observation f24bd908-726a-40d2-8ac0-de0738952581 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Align your latents: High-resolution video synthesis with latent diffusion models

Reference 3

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source=pdf_text observed=2026-08-06T10:30:09.204531Z digest=sha256:518fbb115c18ea343f3acb5a2ef646c25c1d26baf6a2daced670453966ce0090

Observation 89e53528-1a8d-4b9a-b8f5-61f4df2e5f30 · outbound

This paper cites Hexplane: A fast representa- tion for dynamic scenes.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Hexplane: A fast representa- tion for dynamic scenes

Reference 4

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source=pdf_text observed=2026-08-06T10:30:09.273229Z digest=sha256:19e897bb628c6dad5625c5ab28547fdb90c3dfc6e06b758b647d3fc1da387135

Observation 7835e152-ea43-488d-80fd-bd2ae152225b · outbound

This paper cites Motion2vecsets: 4d latent vector set diffusion for non-rigid shape reconstruction and tracking.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Motion2vecsets: 4d latent vector set diffusion for non-rigid shape reconstruction and tracking

Reference 5

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source=pdf_text observed=2026-08-06T10:30:09.309262Z digest=sha256:ad364d5eba726ec88b097b847e5b6d33880059206060679077402cf4a31b4933

Observation 885f6cfa-b688-4aa5-bc67-cc3812fb1e27 · outbound

This paper cites Large-Vocabulary 3D Diffusion Model with Transformer.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Large-Vocabulary 3D Diffusion Model with Transformer

Reference 6

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source=pdf_text observed=2026-08-06T10:30:09.366363Z digest=sha256:3e3917c48840b83712a5d8410367dae6552c733e98afb73f07ff4105f87ed545

Observation 5cb4a86c-4843-4895-861f-c26601a6e538 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Efficient geometry-aware 3d generative adversarial networks

Reference 7

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source=pdf_text observed=2026-08-06T10:30:09.465921Z digest=sha256:f4d7c1610ce760aa1720d578f091c42d72da27ddb1d4fd0c679fe59669ade9c3

Observation c888ddde-0908-4600-8652-94b12d6dbd0a · outbound

This paper cites Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

Reference 8

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source=pdf_text observed=2026-08-06T10:30:09.572055Z digest=sha256:de348ab51077ca28e87cfe86cefe0d89d8b48c752b31e9babd5040fb21d3e413

Observation e05860c2-a4e6-4dec-a77b-05da1a01394e · outbound

This paper cites Primdiffusion: V olumetric primitives diffusion for 3d human generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Primdiffusion: V olumetric primitives diffusion for 3d human generation

Reference 9

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source=pdf_text observed=2026-08-06T10:30:09.646191Z digest=sha256:7d267e2b776503989665a1504438684d542b18e3c65c3739416877463c930172

Observation f6a54f3d-9548-4672-ad24-36bb0ac3f6d5 · outbound

This paper cites 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion

Reference 10

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source=pdf_text observed=2026-08-06T10:30:09.688932Z digest=sha256:faa0230129f0ce0ca611beb429720668ad97f3141eef44befe78ca33ada661a4

Observation 4138544e-24c0-4612-803f-da422166da5a · outbound

This paper cites Dynamic gaussian splatting from markerless motion capture reconstruct infants movements.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Dynamic gaussian splatting from markerless motion capture reconstruct infants movements

Reference 11

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source=pdf_text observed=2026-08-06T10:30:09.747115Z digest=sha256:77beb9a7422f38fbcbd414e55921e9cc331b9c3b064fd651d21875f58798e4ed

Observation ba862383-c716-4925-91dd-ce612a848890 · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Objaverse-xl: A universe of 10m+ 3d objects

Reference 12

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source=pdf_text observed=2026-08-06T10:30:09.837278Z digest=sha256:aa6e57cc37ab952787c1d27825529ef71efd210c9e625a3e824390efe0016831

Observation 053254fd-a710-4052-81b8-138c0fd698b0 · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Objaverse: A universe of annotated 3d objects

Reference 13

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source=pdf_text observed=2026-08-06T10:30:09.893935Z digest=sha256:fb20027da251f459699b99ac9ff933abc354ab6009d4c524ce41c8a52506f8df

Observation 4e88fd47-d1ae-420b-be9f-7631e3366aea · outbound

This paper cites Gram: Generative radiance manifolds for 3d-aware image generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Gram: Generative radiance manifolds for 3d-aware image generation

Reference 14

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source=pdf_text observed=2026-08-06T10:30:09.967325Z digest=sha256:5ae17016f90405ff5585899efbd5dc38b661a3eba908f4ec172eb0ed677137b0

Observation a2f6d8cb-e4a4-46ba-98ed-e72ef79f077d · outbound

This paper cites Diffusion models beat gans on image synthesis.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Diffusion models beat gans on image synthesis

Reference 15

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source=pdf_text observed=2026-08-06T10:30:10.014688Z digest=sha256:d5d899af7e0bd68e388d50b16a35f2f49d3775e7078151d2860ec2005b54e6f7

Observation 3d7e6f41-f152-471d-a82c-7791c97975fa · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis K-planes: Explicit radiance fields in space, time, and appearance

Reference 16

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source=pdf_text observed=2026-08-06T10:30:10.084291Z digest=sha256:913494f924ff6088a58d7b0c5a4d4009923f62bd869a67b50811616184d4a72a

Observation 9fb798b2-5f29-4c8f-9813-3e7ff5610ef3 · outbound

This paper cites GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

Reference 17

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source=pdf_text observed=2026-08-06T10:30:10.164281Z digest=sha256:f9027ea017eee6de4ffae7e676a28b9ac5cd9d87daf3421457fd09e8c18c4d02

Observation c7a75ebb-484a-452d-8c43-631403bca5be · outbound

This paper cites Factorizing text-to-video generation by explicit image conditioning.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Factorizing text-to-video generation by explicit image conditioning

Reference 18

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source=pdf_text observed=2026-08-06T10:30:10.248599Z digest=sha256:966cff8e0458ad30ac1fb501ab406554fe59a702dfbda6c9e242e1ad894a5a9b

Observation 3c949698-d3be-455d-8daf-9a3bf281495c · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 19

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source=pdf_text observed=2026-08-06T10:30:10.310599Z digest=sha256:cdcd8beb9d2e355b03ecbc1769613aad89a024b6eb65b0a6cb1984da43b06698

Observation 7ad8a02e-05cc-4402-982b-85c229ecee8e · outbound

This paper cites 3DGen: Triplane Latent Diffusion for Textured Mesh Generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis 3DGen: Triplane Latent Diffusion for Textured Mesh Generation

Reference 20

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source=pdf_text observed=2026-08-06T10:30:10.399939Z digest=sha256:47070615d9a78db55b90f949efd5a347286c6f97248014714fb1f4e229c2bbc6

Observation d69554e3-9c7a-4a14-9770-3eb69d3d1088 · outbound

This paper cites Efficient Diffusion Training via Min-SNR Weighting Strategy.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Efficient Diffusion Training via Min-SNR Weighting Strategy

Reference 21

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source=pdf_text observed=2026-08-06T10:30:10.460050Z digest=sha256:0b88aeca6e301db9d34416413d40e418eb7af645369fb2e0ccc9a8899e9c1ff3

Observation a7f3d501-ab3f-437e-92fc-c19fbc5b3f43 · outbound

This paper cites GVGEN: Text-to-3D Generation with Volumetric Representation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis GVGEN: Text-to-3D Generation with Volumetric Representation

Reference 22

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source=pdf_text observed=2026-08-06T10:30:10.514015Z digest=sha256:5582f5a9a587b05b9cf1648a3021a2ae5bb3f7f27e1add08bf19cfbcdd42adb3

Observation 86087511-533e-4751-8c95-90daf90df4f1 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Imagen Video: High Definition Video Generation with Diffusion Models

Reference 23

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source=pdf_text observed=2026-08-06T10:30:10.574815Z digest=sha256:2d451f126437d0d270c8fb28d008aa5f53599094bf70ac7ca687c0d32b46b42a

Observation 752ec71e-907c-4018-9792-9c061f487ccf · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis LRM: Large Reconstruction Model for Single Image to 3D

Reference 24

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source=pdf_text observed=2026-08-06T10:30:10.672021Z digest=sha256:d492c4358dcdfaa512061e8db50ca157f7cdb1c69588b16b370b9b5dfaf240e1

Observation bbd94df3-5d8d-43df-af56-af4a3acc2907 · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Sc-gs: Sparse-controlled gaussian splatting for editable dynamic scenes

Reference 25

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source=pdf_text observed=2026-08-06T10:30:10.756325Z digest=sha256:9abb897a916aa56b0f527f8fc040060aef3645ea0fa6549d13343183107b3cc6

Observation 08c04824-d78a-4bc6-830d-921b9c26e064 · outbound

This paper cites Perceiver IO: A General Architecture for Structured Inputs & Outputs.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Perceiver IO: A General Architecture for Structured Inputs & Outputs

Reference 26

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source=pdf_text observed=2026-08-06T10:30:10.810962Z digest=sha256:86b5f3b87c58911c8a81d9f33a0a7605ad8ff375e8d9ada72bf71dcee5e295c6

Observation c0a2fbe5-98b8-4a79-b1a2-789b3be0623d · outbound

This paper cites Perceiver: General perception with iterative attention.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Perceiver: General perception with iterative attention

Reference 27

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source=pdf_text observed=2026-08-06T10:30:10.904953Z digest=sha256:f981a603b4724dbd1e891862bbb581908ac47c0131ec79e89de7be1206ddc041

Observation 8e5d060f-6017-4539-9e78-8c5059950faa · outbound

This paper cites Consistent4D: Consistent 360{\deg} Dynamic Object Generation from Monocular Video.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Consistent4D: Consistent 360{\deg} Dynamic Object Generation from Monocular Video

Reference 28

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source=pdf_text observed=2026-08-06T10:30:10.983369Z digest=sha256:02d62e6f71118fd762e35fd9748d747dae96b4a021513d1b1408954a7516b52c

Observation 4155f9ee-1e5b-4a11-b7bb-29831d5f7ab7 · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Shap-E: Generating Conditional 3D Implicit Functions

Reference 29

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source=pdf_text observed=2026-08-06T10:30:11.061289Z digest=sha256:0c01619559f899aaee2090161cc5ceea6d119a6e8de61fe2be87cf6582baecad

Observation 9d7d3c5c-d5c4-40c3-88ec-fae2877e8226 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis A style-based generator architecture for generative adversarial networks

Reference 30

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source=pdf_text observed=2026-08-06T10:30:11.122967Z digest=sha256:aa950c86fdcd2809123b9e178a21d1c77327cbc13ab74a02611e373f9c107fa6

Observation 591f381a-b422-41ee-9d67-fda4da751a64 · outbound

This paper cites Analyzing and improv- ing the image quality of stylegan.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Analyzing and improv- ing the image quality of stylegan

Reference 31

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source=pdf_text observed=2026-08-06T10:30:11.164999Z digest=sha256:619eae339d6cb2545af58cac9198682256f718f5b3352fb14680e80deff216cb

Observation d2c460c2-2504-4d8c-97e9-a5c0a5f2eaba · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis 3d gaussian splatting for real-time radiance field rendering

Reference 32

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source=pdf_text observed=2026-08-06T10:30:11.225330Z digest=sha256:dd3686cc99e2f3c76b36db7377dfe1e02950a55397685649240654ae16b7dd33

Observation 35e78d8c-ac1d-4896-ab24-f27439f0c57c · outbound

This paper cites Hunyuanvideo: A systematic framework for large video generative models, 2025.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Hunyuanvideo: A systematic framework for large video generative models, 2025

Reference 33

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source=pdf_text observed=2026-08-06T10:30:11.327250Z digest=sha256:bcfe03a06da35029d35b65f0fc0bfb2971e017b119bce6c203e9a0367333ebf3

Observation 8cc89a81-b02c-4704-a4b4-2985645a731a · outbound

This paper cites an unresolved cited work.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-06T10:30:11.382038Z digest=sha256:7885089fb87e603902d47a2cc19d1db97faf623b6139e97ce1cd3bb12a430655

Observation fe96c0b8-5a9f-4984-a40b-ffe3a1505185 · outbound

This paper cites Ln3diff: Scalable latent neural fields diffusion for speedy 3d generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Ln3diff: Scalable latent neural fields diffusion for speedy 3d generation

Reference 35

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:11.441664Z digest=sha256:ea4c7a11856cc4f448da41f1d8576b7bc1290e66032c3c182e8cccba694b5de1

Observation d5c25645-a339-46c3-b7a1-35155c4fb201 · outbound

This paper cites GaussianBody: Clothed Human Reconstruction via 3d Gaussian Splatting.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis GaussianBody: Clothed Human Reconstruction via 3d Gaussian Splatting

Reference 36

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source=pdf_text observed=2026-08-06T10:30:11.535792Z digest=sha256:743418752926669a3740b0b02b9968abab07f8c78c3597f039165f97532369a0

Observation 6fe3e04e-d3fa-42e1-9b57-b5eb4f9c8b27 · outbound

This paper cites CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner

Reference 37

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no resolver link, observed 2026-08-06T10:30:11.563776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:11.563776Z digest=sha256:8574dbfb0755be0f1145f14000b584188e1ae46ac6736c2da03784cc25b2d23e

Observation 5bd0abfd-ecab-4be5-919b-64f56f69cb8d · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models

Reference 38

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:11.653629Z digest=sha256:f28580e0cd7180d653883ab75b5e107e2a4e93f43c26cfe3a0663de49fe9b142

Observation d72399e1-a862-409c-ab0f-4b72cc03c658 · outbound

This paper cites Luciddreamer: Towards high- fidelity text-to-3d generation via interval score matching.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Luciddreamer: Towards high- fidelity text-to-3d generation via interval score matching

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:20.426111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:11.741610Z digest=sha256:622bfce6e377097f79b840252878c85def3538a50d897d547df30c4f148ed8b2

Observation 98955e07-81a2-4692-9510-5197de180329 · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Zero-1-to- 3: Zero-shot one image to 3d object

Reference 40

Resolution
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no resolver link, observed 2026-08-06T10:30:11.812493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:11.812493Z digest=sha256:39a4a7a3264f9f05eb715e78cc2bbafb22124910994af0b2372949a5dc3702ab

Observation d88f5a08-0013-4318-a4a5-b7739f160903 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:20.384796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:11.925274Z digest=sha256:2e1e8eea664e483ba38dd3a6d5dbb3dcba55be8c6ec2ec44488288d7a7fa210f

Observation f99652c7-6070-4a20-963d-dc79096d2904 · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:12.002299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:12.002299Z digest=sha256:87770f4c5063072526ed9996079f5431cd0e9b2d25f23e01e36438df1214338e

Observation fbd760a1-c3d3-4ede-a321-d8da8e23b987 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:12.090362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:12.090362Z digest=sha256:c75a154e6aaf85a2e424924b2bd36f455c82d000c36abe48e802f3b8eae7030c

Observation 3871d4d4-699a-46c7-b4ef-45aab2754036 · outbound

This paper cites Diffrf: Rendering-guided 3d radiance field diffusion.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Diffrf: Rendering-guided 3d radiance field diffusion

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:12.190261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:12.190261Z digest=sha256:f7810eede7dcc8d9697d20001e3986beffcd9f1531e041b582315e0685107863

Observation 89d5dbb3-6119-4d60-bec2-5ab356851ef3 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Improved denoising diffusion probabilistic models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:12.262089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:12.262089Z digest=sha256:cbebd447240f1981314374b48d126e83d6f2e9b1726bfab1004cb4cb7d1d2e8d

Observation 1eb6d573-3c5d-46bd-b19b-4395249f5599 · outbound

This paper cites AutoDecoding Latent 3D Diffusion Models.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis AutoDecoding Latent 3D Diffusion Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:12.350612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:12.350612Z digest=sha256:d53a5e3949fffc2a66f3e583ca04b68e94085bc40dbe4af74d0022ea466c4970

Observation 12ffe024-2028-4464-abfa-34b98113c11a · outbound

This paper cites Video generation models as world simula- tors.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Video generation models as world simula- tors

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:20.281474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:12.460095Z digest=sha256:5c433e791a1cf19e12ea1ba64d30f4c02bfec1957bb83df6fcb3d6b8d5cd97ae

Observation d30c4270-b73f-468c-a1eb-7e3c424a351b · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis DINOv2: Learning Robust Visual Features without Supervision

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:12.550524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:12.550524Z digest=sha256:edf0b2ae4d880f061d371cd4c15245bfc1441b9c4586c635cc6cc8b13549dbb7

Observation cd3e3a5d-774c-4009-9b6f-15a423f2469c · outbound

This paper cites Effi- cient4d: Fast dynamic 3d object generation from a single- view video.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Effi- cient4d: Fast dynamic 3d object generation from a single- view video

Reference 49

Resolution
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no resolver link, observed 2026-08-06T10:30:12.672117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:12.672117Z digest=sha256:d9e5b028c253017efb1b563fe752818477b49438b3b05032f2f9c7cf16161074

Observation 1da3777a-bca5-4c04-8914-82197edc97dd · outbound

This paper cites Nerfies: Deformable neural radiance fields.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Nerfies: Deformable neural radiance fields

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:20.248945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:12.750064Z digest=sha256:3fe59e684ac6711dc3e4f069a7e306039800d777cdc25134205cdd9c454d7e0e

Observation 9d9e8a53-7d50-4865-966e-1ac48507438f · outbound

This paper cites HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields

Reference 51

Resolution
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no resolver link, observed 2026-08-06T10:30:12.858954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:12.858954Z digest=sha256:06efa2f3700fe41cbc2f0cec27c14af7301bf02d771c3e55f2944be422d07a4f

Observation caa91890-20c2-44c5-b14d-08862e47670c · outbound

This paper cites Scalable diffusion models with transformers.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Scalable diffusion models with transformers

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:20.220021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:12.968499Z digest=sha256:b3fe5aef81b3640117540ee515e0bb06e2f58dd75bbd980df960f97096258ee3

Observation b4233693-2e24-4769-a254-5360bfd6e2fd · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis DreamFusion: Text-to-3D using 2D Diffusion

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:13.034255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:13.034255Z digest=sha256:977df81cd96fd4acd6a434cf588241a8ba9314a41f9ecb060b9a4cc608347e09

Observation 7b8c7c41-05b5-4d2f-b4b4-8f5de6543bc3 · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis D-nerf: Neural radiance fields for dynamic scenes

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:20.185763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:13.110442Z digest=sha256:53b7fe8ae8941a535c2fadc608f925bd2de7d9230542a369bf5cbb98292612a7

Observation 8174cff8-709a-42bc-967e-6c54e999a5ea · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:13.205520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:13.205520Z digest=sha256:0435c7a66d1fe60760a5a3eede705c7f936a8ae2373a8b91fa003eea4b297b82

Observation 50564a71-cb36-424a-ab8f-52faaefc8295 · outbound

This paper cites DreamGaussian4D: Generative 4D Gaussian Splatting.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis DreamGaussian4D: Generative 4D Gaussian Splatting

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:13.349706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:13.349706Z digest=sha256:c5d932fb5ebd88f732d3f60618fe180b194b64d0127e979d7b8f29b71ce59bf9

Observation 7ab528d3-b541-4f97-9f73-f9951729da80 · outbound

This paper cites L4gm: Large 4d gaussian reconstruction model.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis L4gm: Large 4d gaussian reconstruction model

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:20.153976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:13.442058Z digest=sha256:a4218bc17bc474f7300ef6ff8183471bb5d8fc84bd0764b79c68bdd734cc5e38

Observation 14e88d72-7cdb-431a-9fac-17eb6a6c1e62 · outbound

This paper cites Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:20.130171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:13.593256Z digest=sha256:d1b1f4bd2a15de916d8ca9fe600c2e5702bb8af74282990231d6950d54c1df01

Observation 59776f9f-2442-40ca-94c7-96f770871355 · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis High-resolution image synthesis with latent diffusion models

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:20.106132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:13.648226Z digest=sha256:4d2a6d7475184854850547a2cc02a6be2e5ea82bdd89e8629fcaed29cfddc72f

Observation 352cd99a-d79d-4ba6-8c16-a718d64e37b1 · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 60

Resolution
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no resolver link, observed 2026-08-06T10:30:13.748825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:13.748825Z digest=sha256:72f9ba62e46f44b4c173fae7fef2a2aee0f17f3f4268931a3f0971be1fd56291

Observation 2bb457d8-372d-4e48-a87e-dafa750f3484 · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis MVDream: Multi-view Diffusion for 3D Generation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:13.868655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:13.868655Z digest=sha256:5e12b7b0077afe70f4b182c4f7615d3b391e529101584d88e3b43b34bf2d44ea

Observation e73af816-bb76-406b-ad27-02528e48eedb · outbound

This paper cites 3d neural field generation using triplane diffusion.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis 3d neural field generation using triplane diffusion

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:20.083763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:14.040253Z digest=sha256:bda019be1424910b17613d268830010e1ec22d63f48071cb676c9230e30d55df

Observation 5597d53e-78e4-4764-9540-6d73aa9a1b8c · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Text-To-4D Dynamic Scene Generation

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:14.197008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:14.197008Z digest=sha256:06359bf30da1c8749abe1cf27e4b2aacc3c447e2b81271013fd8e1e23c4ba708

Observation 03e9ef80-a155-4672-8c5c-5c6cb2802546 · outbound

This paper cites 3D generation on ImageNet.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis 3D generation on ImageNet

Reference 64

Resolution
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no resolver link, observed 2026-08-06T10:30:14.367135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:14.367135Z digest=sha256:5768bf52432373d048349982d6fd10ecfd0e0b70fff57eeb5c6f548ad41a0eeb

Observation e683472c-8bf0-4615-bf3f-454711b500d1 · outbound

This paper cites DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:14.458767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:14.458767Z digest=sha256:4f8db78b9f5b3b86ad1445651d8904bfa3fd0df87723889c7fe2918123f6dd37

Observation b011c6c0-6379-48dd-b2c6-44b80382126c · outbound

This paper cites DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:14.617202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:14.617202Z digest=sha256:1049a6774b6f19d8963f597539a65a0bd43b123963012d24412790d54fc54831

Observation e7f18b66-b9ce-42f8-afd4-ec130d7262c5 · outbound

This paper cites Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:20.054511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:14.763276Z digest=sha256:7275152c18873e12d49e3717d8dc1e2c4439e673cdb590419cd24873034af2b6

Observation 9c2f0074-737b-4667-b5e1-c79511a8bfd7 · outbound

This paper cites LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:14.881594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:14.881594Z digest=sha256:927fdbffeb909254adea7e4f90b78e95aef762d60e9e5a7d2d9942cff3d4c0fd

Observation 5b85da8b-22e2-4d50-a803-adb0c9afa250 · outbound

This paper cites VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:15.034544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:15.034544Z digest=sha256:8aacf40854cdc95280d15465d54bbe53c8222faf2806395fb0ae8d1ac780900d

Observation acb5cb8f-8065-4112-b345-643a9eacd3a2 · outbound

This paper cites Fvd: A new metric for video generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Fvd: A new metric for video generation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:15.126647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:15.126647Z digest=sha256:f6de8e3ddbe9e884761f337a2e363a81a8180bc7eb40d0b5c3cf0169c3f8e44e

Observation 11011fdc-7d8a-4d65-9182-f8f5e1646c43 · outbound

This paper cites Lion: Latent point diffu- sion models for 3d shape generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Lion: Latent point diffu- sion models for 3d shape generation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:20.008989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:15.267733Z digest=sha256:83b57f7c6e93ec6aaf88705b0334153747a79cc972b2fe76e7e9c7d8ba97be45

Observation 7bce1245-0b79-4b34-9e8a-1f9f0fa7121c · outbound

This paper cites Attention is all you need.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Attention is all you need

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.986699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:15.415891Z digest=sha256:14e2cad843ae380bb52e03cd6462d943e39038ae51d209efa1ab9e0e81de01de

Observation 35faf239-1f57-43cc-97a0-58d498aff9ee · outbound

This paper cites ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:15.521882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:15.521882Z digest=sha256:3ea98aaae19c63005fccb9ffad52b7f9d5aefe6ca792c561d431d8f61f76bbf6

Observation 8be8c0f6-19ae-45e7-9f69-1326e59300e9 · outbound

This paper cites Rodin: A generative model for sculpting 3d digital avatars using diffusion.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Rodin: A generative model for sculpting 3d digital avatars using diffusion

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.959314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:15.609838Z digest=sha256:c74bf6f26b3bf8bc8235373a32a03e2d96d963f86498041d760cb11c7a206976

Observation 1ae8526e-707b-4536-b3e9-5196b0b49159 · outbound

This paper cites ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:15.691035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:15.691035Z digest=sha256:a018c965466992397ba17c5b213efa5f6acbc10222cc921c889ec3049f5dbed2

Observation a44bdc01-8112-419a-acf2-da82bbbe55d1 · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis 4d gaussian splatting for real-time dynamic scene rendering

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.929793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:15.779070Z digest=sha256:ca89ca74c37deda02b5ec5059e0a7d79d7602d9a2628d12c89712f974cfcf5eb

Observation 123c8d58-e794-4e57-a4c0-a6676b53c7f7 · outbound

This paper cites Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.890712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:15.857594Z digest=sha256:e4da1ba9877ffd6629dd18dd4320991e00a4c9c375bab2cf3c55088f4f6a4560

Observation c4e5e105-5f30-43a7-8e1b-d6fad8f9c9a9 · outbound

This paper cites Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:15.918137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:15.918137Z digest=sha256:5b60a8a14470481ac1973273a6eb1499c870df0802a003b13b45d0f428b4a4be

Observation 1b73d6d2-14ed-4790-8d23-1be8009e534f · outbound

This paper cites Sc4d: Sparse-controlled video-to-4d generation and motion transfer.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Sc4d: Sparse-controlled video-to-4d generation and motion transfer

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.862867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:16.045808Z digest=sha256:669691cb17a9ec9a8d47f4815aee16de998851c87bda438c639ddaa6064d8651

Observation f7021bd2-856b-4f3a-a4ac-77a23d9d6635 · outbound

This paper cites GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds

Reference 80

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:30:18.309663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:16.108593Z digest=sha256:0750cc3ab786761e918b446630c0f74fe46b4d7be6eda051e4c646658d9948dc

Observation e9e502aa-a621-4e8f-b670-cf9214b84fab · outbound

This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Structured 3D Latents for Scalable and Versatile 3D Generation

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:16.248032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:16.248032Z digest=sha256:d6d0df4c297e476ebf5bf0d7b0b5d245ed634eccd5862a529592d0135a7793d6

Observation 21424c9c-228b-4012-95a7-ce9c96ebcf5a · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:16.358928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:16.358928Z digest=sha256:f8f60f0dd23d9533b05d028a533faaa367e590c28f5ec2e3900ae986bc92f1d2

Observation d96a7f3f-f8b2-429f-8273-14a46a30a45d · outbound

This paper cites OctFusion: Octree-based Diffusion Models for 3D Shape Generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis OctFusion: Octree-based Diffusion Models for 3D Shape Generation

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:16.462539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:16.462539Z digest=sha256:adfae137e0b04bcb1d88d97a27b23727556fe4f642c3a2c99c53edecbc4e2604

Observation 518be106-8597-451a-abac-917922c2984d · outbound

This paper cites Atlas Gaussians Diffusion for 3D Generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Atlas Gaussians Diffusion for 3D Generation

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:16.525461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:16.525461Z digest=sha256:1750cdab6a872d5d6f65395a3ac7bffe793fa1bfccd5f57c445ea190cc94a06f

Observation 35b2e7a4-a6c0-4936-b9ca-13f27665cb42 · outbound

This paper cites Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:16.592938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:16.592938Z digest=sha256:749b23823a36154737587d8d65faa09a80b953d7422747bb5671e7eb6c36eba9

Observation a8219727-ae72-45cf-911b-561872e14389 · outbound

This paper cites Mosaic-sdf for 3d generative models.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Mosaic-sdf for 3d generative models

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.839134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:16.676125Z digest=sha256:61f15e3f3c839437a9b59b02baf3c23ede22d1e1bed367ccccec7ece68763d93

Observation abfb242d-89ac-4f0d-a38c-db60446c1686 · outbound

This paper cites 4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis 4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:16.788575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:16.788575Z digest=sha256:a20466a214e27e691bafc0bb9c99367811df6bf7191dc843da14cec98555a989

Observation c16d3789-0191-444f-807c-66bad93937ff · outbound

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

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Stag4d: Spatial-temporal anchored generative 4d gaussians

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.814480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:16.907021Z digest=sha256:24c4f4934ee0636f5800a46c6493126abe1df253007b4ba1367645f33347e9ca

Observation 590df092-0286-4d19-83a6-bb653f5d307d · outbound

This paper cites Root mean square layer normalization.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Root mean square layer normalization

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:17.009712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:17.009712Z digest=sha256:ba459f0948ce4d62df3a67b98b9175b6bc86d479631f9b3c764f5e6e12567725

Observation 679724a5-cd13-487e-829f-47490233ad6a · outbound

This paper cites Styleswin: Transformer-based gan for high-resolution image generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Styleswin: Transformer-based gan for high-resolution image generation

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.756195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:17.134457Z digest=sha256:8bf3f70fa59f52e5e81af5580333e16e1a657b73ceb5711049cf0520e8026516

Observation 7ff07045-92bb-4bfe-8cf3-8d83ae48b74c · outbound

This paper cites 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:17.208548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:17.208548Z digest=sha256:5a5aba1578f2c52566242bf8c9add33eb3698e44145aa4bfca27813ed4da7414

Observation 7b548030-257a-4def-b939-d2140ef6b4a0 · outbound

This paper cites RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:17.341354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:17.341354Z digest=sha256:ce826eeac4da4386e7fa0f0e3b1e42653f1548f9451bbfb1054623dc89ff5b16

Observation c7a5da9e-90e3-4cff-bd4c-af3a7c066be6 · outbound

This paper cites GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:17.399564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:17.399564Z digest=sha256:b3eded696343ef2316cd813aea37cda44fb1faf5847157864cacef8f821c57cf

Observation 383f9b82-4389-4704-8794-6bc1c629fa9d · outbound

This paper cites 4diffusion: Multi-view video diffusion model for 4d generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis 4diffusion: Multi-view video diffusion model for 4d generation

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.713186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:17.489077Z digest=sha256:668d4864b71e774d4c02005e7d705ba928c0a6c70695e52235a411a7d9abfad5

Observation 48e1c9db-9cca-4248-81ad-677ef8d682fd · outbound

This paper cites Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.683680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:17.555169Z digest=sha256:d2daea18d1641df4f0a8153db0735d70f36777f5878e95ab78086378af17a0a3

Observation e0918b9c-f0e1-48fd-9ca0-ad6032f647c4 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis The unreasonable effectiveness of deep features as a perceptual metric

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.657435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:17.614342Z digest=sha256:d4f8a10d136897043eb46b9052bce420fd9548fb80027c7e45bcbe2d7e0186f6

Observation 259245e3-acd8-4703-8f48-0ff92fa2e906 · outbound

This paper cites Michelangelo: Conditional 3d shape generation based on shape-image-text aligned latent representation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Michelangelo: Conditional 3d shape generation based on shape-image-text aligned latent representation

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:17.711064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:17.711064Z digest=sha256:fa8d06d7d861b279d495fde02b2170b10bb48eacae6d4ca6441b2e888963322d

Observation 50c4f88a-3771-4069-878a-ef1ae4f8e84b · outbound

This paper cites Sdf-stylegan: Implicit sdf-based stylegan for 3d shape gen- eration.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Sdf-stylegan: Implicit sdf-based stylegan for 3d shape gen- eration

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.618173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:17.776093Z digest=sha256:b8d8f75491dcfac11881bb523e6650bf8cad383c44ce8b16f8e2dc6bf763bd58

Observation 55288707-35ac-4797-b038-963ed7fd3429 · outbound

This paper cites Locally attentional 12 sdf diffusion for controllable 3d shape generation.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Locally attentional 12 sdf diffusion for controllable 3d shape generation

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:30:19.586835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:17.888948Z digest=sha256:523a33e1564267dc3033f4201ff94b48e68b07712b90ec7c49e2122330f9f266

Observation 6a0c1e39-2719-4748-8f71-b7fd2a7709ab · outbound

This paper cites Shifted Window.

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis Shifted Window

Reference 100

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T10:30:19.551933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T10:30:17.965855Z digest=sha256:7e3f0b75f00d950cbf3c3f1cdd443a541da0b9705684d2a3035c7ae143da7acf

Pith citing papers

Observation bf1675b6-1a77-417b-b711-35f3586e196d · inbound

DevilSight: Augmenting Monocular Human Avatar Reconstruction through a Virtual Perspective cites this paper.

DevilSight: Augmenting Monocular Human Avatar Reconstruction through a Virtual Perspective Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-05T13:42:49.207199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:42:49.207199Z digest=sha256:0c59c1969dba04a80e1c3c717090dfa5ce542c4d087a873e620d3062724ea9cf

Observation 88bb431e-6332-4b02-97f0-cf42829a6256 · inbound

PerpetualWonder: Long-Horizon Action-Conditioned 4D Scene Generation cites this paper.

PerpetualWonder: Long-Horizon Action-Conditioned 4D Scene Generation Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:30:12.708343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T13:26:57.909496Z digest=sha256:adf5469bf5bead1540b97b052ca797f2e25f3ebe33f2f7b4acd4eda365b18135

Observation a93738b1-2833-41c8-a323-6e8047add7cc · inbound

Velox: Learning Representations of 4D Geometry and Appearance cites this paper.

Velox: Learning Representations of 4D Geometry and Appearance Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis

Reference 117

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:41:07.535051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T17:19:58.259824Z digest=sha256:6367f7d5fa9daf8210244d5ddae350d11e4d4f1d025df1ffa1dd696af663b06b

Observation 21f49a8b-9835-404f-bc24-d99645a95040 · inbound

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

Fast 4D Mesh Generation by Spatio-Temporal Attention Chains Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:53:05.838038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T06:51:05.710817Z digest=sha256:ddb31019047af97b687fef644a7d8f04a5354d152f599b107187987a58403567

Observation 2a6df47d-c49e-4f2f-b942-1869eb7d8600 · inbound

Helix4D: Complex 4D Mesh Generation cites this paper.

Helix4D: Complex 4D Mesh Generation Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:24:00.578249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T22:17:54.684366Z digest=sha256:366c40eab01bf8c9d4856662edabadf0ebe020090e896f7482b2f0664e6d6d45

Observation 8a89ac8d-640a-4218-ad7f-a315f3d82d88 · inbound

World Tracing: Generative Pixel-Aligned Geometry Beyond the Visible cites this paper.

World Tracing: Generative Pixel-Aligned Geometry Beyond the Visible Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:38:29.387963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T06:56:46.694079Z digest=sha256:c1324348e0e1ec565edae59bbc0e6da467f4be72644b042a2db61e3521df4975

Observation 8d03971e-12b6-4dfd-90bc-8853001d67fb · inbound

HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration cites this paper.

HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T17:05:50.591194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T04:18:02.341742Z digest=sha256:8172c6da7fa35de79c71953aa7d5aab8883364125984d54ae6b189af09af079d

Observation 8a18e280-af35-4a2e-809d-c5a420f0179a · inbound

AniGS: Bridging Rendering and Diffusion Prior for 3D Scene Animation cites this paper.

AniGS: Bridging Rendering and Diffusion Prior for 3D Scene Animation Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T15:09:46.551421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:09:46.551421Z digest=sha256:0a43cb9842d7659f8012aa99731c2a0b28d9c1cd99d271c5cd506ec79bb16dcc