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Paper Citation Record · LEDGER

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features

As of 10 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 3 inbound Pith citation observations for arXiv:2502.08377.

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

pith.paper-citation-record.v1
2502.08377 v3

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:22:20.020565Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:23:50.361291Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T06:09:49.428709Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b4b7684-b4b9-4bff-b997-f77367cc36fc · outbound

This paper cites STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.812148Z digest=sha256:5097871d0543966e331506ef969a0cffdc20dd999ab36f637c431104ead308a2

Observation bdce4c5a-5f71-4681-94a6-10fe4e983977 · outbound

This paper cites Neural 3d video synthesis from multi-view video.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Neural 3d video synthesis from multi-view video

Reference 2

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no resolver link, observed 2026-08-08T05:22:19.816723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.816723Z digest=sha256:59bcf26994b50470fecbaf3f7fc1e66f636b93bf321444bcc2a79e3c5591a317

Observation add9fc38-d4fa-44ab-9731-20927e483b92 · outbound

This paper cites Tensor4d: Efficient neural 4d decomposition for high-fidelity dynamic reconstruction and rendering.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Tensor4d: Efficient neural 4d decomposition for high-fidelity dynamic reconstruction and rendering

Reference 3

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raw_fallback, observed 2026-08-08T05:22:20.608301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.820709Z digest=sha256:49e2ebc7df6d004f97358113a336e533abadcf3057e24e718f26d5c24d3639da

Observation 7f2d6c78-7e25-4749-bf89-cb68d47737e2 · outbound

This paper cites Neural scene flow fields for space-time view synthesis of dy- namic scenes.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Neural scene flow fields for space-time view synthesis of dy- namic scenes

Reference 4

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raw_fallback, observed 2026-08-08T05:22:20.596616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.824476Z digest=sha256:1e7681ee13becf1e200e8615c83972feaf46702e007f0226865cf74366505527

Observation e6c99647-079e-4cd6-b6b9-2f7b979a535f · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features D-nerf: Neural radiance fields for dynamic scenes

Reference 5

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raw_fallback, observed 2026-08-08T05:22:20.585535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.828044Z digest=sha256:e70e8dfcc2405438fb361aaa5c41f60858c58af724354b66e37dfedbbb1a3909

Observation 262a2936-f0ce-4c9f-a775-aa7675eea4e1 · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields

Reference 6

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no resolver link, observed 2026-08-08T05:22:19.831492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.831492Z digest=sha256:40ae853ff94d0dfd2a982635cf18123df0e155acc6512e441af09be06f1b0936

Observation 902e9d17-b59d-447a-a642-a4b28c2e507e · outbound

This paper cites Monocular dynamic view synthesis: A reality check.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Monocular dynamic view synthesis: A reality check

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.835301Z digest=sha256:272c38a62ef2fdfe4900253a6009a9ae27e70ea4aeb878e38cebbf85f8bf31af

Observation 61f8ade1-3d74-4f97-a27f-718feb89e810 · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Dreammesh4d: Video-to-4d generation with sparse-controlled gaussian- mesh hybrid representation

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.568236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.838646Z digest=sha256:8f56078a41a84fe54087015766027c2c13dab69a40be6609c568a343dad0a171

Observation 9a401431-df1d-4509-a96f-4d0e90d713a4 · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features 4d gaussian splatting for real-time dynamic scene rendering

Reference 9

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no resolver link, observed 2026-08-08T05:22:19.842108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.842108Z digest=sha256:6f5203c43c0e16568b51f823e61a1a8cc03f8e0c330f5d8504e72689def2e4f0

Observation 7c28ef61-6622-4711-a337-820f49b50467 · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.846162Z digest=sha256:e68296dae8c0dce88359ea9d0fffe2b665fde0bd22c55a4ae1e1df7b92bec17b

Observation 38898a85-4842-4207-b21a-2c241d71625f · outbound

This paper cites 4Diffusion: Multi-view Video Diffusion Model for 4D Generation.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features 4Diffusion: Multi-view Video Diffusion Model for 4D Generation

Reference 11

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no resolver link, observed 2026-08-08T05:22:19.849793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.849793Z digest=sha256:a8d53a9bc0d9c74fe0d3ec1551210dcd345ceca457af7e87e006fe400a70ecd3

Observation 89e2dfcf-212f-4974-a971-725d59d6a150 · outbound

This paper cites L4GM: Large 4D Gaussian Reconstruction Model.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features L4GM: Large 4D Gaussian Reconstruction Model

Reference 12

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no resolver link, observed 2026-08-08T05:22:19.853511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.853511Z digest=sha256:29d31f05667e438b328ca441cbf25c12bd07155300ee7243861f10b6c16eb4f9

Observation 6005e28b-9005-4e45-98da-249e36ae5ff3 · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models

Reference 13

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no resolver link, observed 2026-08-08T05:22:19.857184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.857184Z digest=sha256:b9b1309e8c348bb03a0d2b546b3b8ed3ceab14630a948b60ebcafa04630308a8

Observation e6cdf301-c546-4612-b0c8-dfa6f3ef08fa · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Text-To-4D Dynamic Scene Generation

Reference 14

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no resolver link, observed 2026-08-08T05:22:19.860922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.860922Z digest=sha256:2009eb7ec61d8eec5340313f87b9727057541982fc719d36e04ef06b5068e728

Observation 64d6f9d6-208c-472d-a94d-8828c08185d8 · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features 4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency

Reference 15

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no resolver link, observed 2026-08-08T05:22:19.864341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.864341Z digest=sha256:d0be0ae3014c4d9d66a1bc27d8d4a7b3b705bfc1ab2a9d339649f6ee26d35058

Observation 3b4fd678-f051-4e56-b182-efcd2d52ce49 · outbound

This paper cites SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer

Reference 16

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no resolver link, observed 2026-08-08T05:22:19.868173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.868173Z digest=sha256:d5e4f7297d17d1d81269dd3d2597df55c1a28b37e0cab4290c03de86659b27fe

Observation 04422840-f9b3-4a8e-98ae-5a58574d23d7 · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Zero-1-to- 3: Zero-shot one image to 3d object

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.550542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.872015Z digest=sha256:d56e4f762302b11aa5a6e8eb26ab1c01aa219a42c18d8b48d8df81cb79572463

Observation e1efdae6-7283-4e77-885c-c4fd682b9f3d · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.875783Z digest=sha256:28fb133bce97f4afaf027f39972d1af625a15fe69979e7e8dc0a0fbe49f7eada

Observation 3ae84c24-15ef-4d83-88fb-310c1700c5cd · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.879641Z digest=sha256:8af9fa6b39947dea8c6f9cbbd710ef2491705e069af894b2b7f60afc8dfa187c

Observation 98be6be9-4828-4b85-b496-ec55c4d4a766 · outbound

This paper cites Consistent4d: Consistent 360° dynamic object gen- eration from monocular video.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Consistent4d: Consistent 360° dynamic object gen- eration from monocular video

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.539075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.883354Z digest=sha256:2498fec411990ed826e50af56487ada8f127a2920afd938b9addbef5e0590004

Observation 9004fff0-eb68-49dc-9210-1913b5b19c5b · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Objaverse: A universe of annotated 3d objects

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.886773Z digest=sha256:48f8f6b269674acd1da0356191e07a0aa10619bfe9f7e319b53a010b3483eaa2

Observation 48ea874d-4510-478b-8ed2-64ae6f9fefac · outbound

This paper cites 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.521400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.890056Z digest=sha256:d84186b8da89d38922c044a9db23c794ffa0e6859a1f724a80b1184ff59cde9f

Observation 85a0968a-346c-41b5-8e3b-73a7cf929d55 · outbound

This paper cites Pix2vox++: Multi-scale context- aware 3d object reconstruction from single and multi- ple images.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Pix2vox++: Multi-scale context- aware 3d object reconstruction from single and multi- ple images

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.509724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.893420Z digest=sha256:a0d2a9816fb2da6cae46fbe97afe0a97adc79362fc210f4c5060e5020aacf58d

Observation 31b9070d-db93-49a8-a268-ec3b22b4a1f6 · outbound

This paper cites Umiformer: Mining the correlations between similar tokens for multi-view 3d reconstruction.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Umiformer: Mining the correlations between similar tokens for multi-view 3d reconstruction

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.498938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.896832Z digest=sha256:5db309e360070dd8c222b86a75c08385b0146d73729457ae5eec7402c2b85642

Observation 29b18473-b2a4-4883-9c09-3e3755cde6bc · outbound

This paper cites Long-range grouping transformer for multi- view 3d reconstruction.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Long-range grouping transformer for multi- view 3d reconstruction

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.488177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.900199Z digest=sha256:9d4041199e904942195232822cfb47a56919bff47e3b09ab5cd2029999bf120a

Observation 18297970-06b6-458a-82bd-442639e2f67b · outbound

This paper cites Pixel2mesh: Generating 3d mesh models from single rgb images.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:19.903868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.903868Z digest=sha256:5f07bafeea8e7e29764ec2c190f0bcd8db77d0796d7cd16129aed1d0d9c510d8

Observation 85f6f5cb-786a-4843-bf4e-7858961264f1 · outbound

This paper cites Differentiable volumetric rendering: Learn- ing implicit 3d representations without 3d supervision.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Differentiable volumetric rendering: Learn- ing implicit 3d representations without 3d supervision

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.470820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.907374Z digest=sha256:00b8dc2a17edf63fe59960714293e035137e315747517ad36f7470e166237151

Observation 6229bf7e-a941-40af-b1e9-7a8823a3f902 · outbound

This paper cites Pixel2mesh++: 3d mesh generation and refinement from multi-view images.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Pixel2mesh++: 3d mesh generation and refinement from multi-view images

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.459317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.910883Z digest=sha256:c9a4457b34f0eae68d50a39a98d7e8c42bf254cb27c0c1d35d795de16e0faf09

Observation d7140bed-99f4-459a-9990-7f20a257bf0c · outbound

This paper cites Multires- olution tree networks for 3d point cloud processing.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Multires- olution tree networks for 3d point cloud processing

Reference 29

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raw_fallback, observed 2026-08-08T05:22:20.448682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.914310Z digest=sha256:b5cabe749d192733bde8ff7e2640d64c5e274edc870b133351a20e2a82f29e26

Observation e79b394a-e495-4f45-8d49-e776a9b99f6d · outbound

This paper cites Learning representations and generative models for 3d point clouds.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Learning representations and generative models for 3d point clouds

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.436815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.917687Z digest=sha256:7fc3db071ad04294cd9d8b270c6c630e510dbf0fa204a141617c2a069f6bff76

Observation ca5a21d0-02ee-4d3b-9fe6-ff9bed54e20c · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Diffusion probabilistic models for 3d point cloud generation

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.920986Z digest=sha256:03abd4751005859df22d4bc3946d48a7e1615559137142fead7991dc1959fc05

Observation 931b7c39-320a-42b9-8035-3a0fa784245f · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.420001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.924306Z digest=sha256:e29c130cd1b616567cf1b6cddb15c8d450add0402ba095db057833bf8e8e9360

Observation 21c36e20-3779-4dff-9d63-7e5d7f89d4ab · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Instant neural graphics primitives with a mul- tiresolution hash encoding

Reference 33

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no resolver link, observed 2026-08-08T05:22:19.927575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.927575Z digest=sha256:ede7e16066ca70dc6f368a4eeb8d7ac90251bdf306589d0a29294de5b2211530

Observation a9dcfbe1-99c9-49b4-9a6e-d6d410c56ea7 · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features 3d gaussian splatting for real-time radiance field rendering

Reference 34

Resolution
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no resolver link, observed 2026-08-08T05:22:19.931104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.931104Z digest=sha256:b7aa993f2c62457d5a8c4ad182e89c6f28adee3e2151350c653c70947d7c04d5

Observation 12c63243-4b8f-44bd-b6ca-d850c49f7953 · outbound

This paper cites Mip-splatting: Alias-free 3d gaussian splat- ting.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Mip-splatting: Alias-free 3d gaussian splat- ting

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.394592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.934394Z digest=sha256:cce3f7edb0fe94a7355dc29abd79d3cc85ceaa960ab8e4fe6c0a1bec2f220147

Observation 631ea694-9b05-4537-ab95-1d57b5935efa · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Photorealistic text-to-image diffusion models with deep language understanding

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:19.937944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.937944Z digest=sha256:cdd68ce9999d4a8ce13f136e553fe70a1253b074790e9aa5b01111efd2d0514d

Observation dacc9d42-9f0f-4d1c-84e0-0948e18648b9 · outbound

This paper cites Barron, and Ben Milden- hall.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Barron, and Ben Milden- hall

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.377194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.941622Z digest=sha256:d1d729448706309c131bfe9d61690e45e9cabc8d791886102a4c4da47d40d51c

Observation 47483615-f7f2-4e14-878e-dd9189e0d846 · outbound

This paper cites Dreamgaussian: Generative gaussian splatting for ef- ficient 3d content creation.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Dreamgaussian: Generative gaussian splatting for ef- ficient 3d content creation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.366007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.944929Z digest=sha256:eb93471a3010109873bd2d2c940348c537f7c18a7617c4cee4511af5cf4188da

Observation 871735d2-ecb0-4f23-ae3a-04a0bea8c897 · outbound

This paper cites Nerfies: Deformable neural radiance fields.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Nerfies: Deformable neural radiance fields

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:19.948163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.948163Z digest=sha256:3353aad52b13e4899a8ad3ea3e32a8f44db17ef0f7a29d3b05d057f3f4815658

Observation 5dbdfd3e-3121-4c1f-bb50-3b5d1a0da445 · outbound

This paper cites Non- rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Non- rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:19.951456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.951456Z digest=sha256:0285e2a20e0ad5aaf638fccbb3e4c8f94389bc78c6a99bd9d6c6e076fd63e1bd

Observation 3d0ec004-917e-4509-bf55-a52b457eaf0c · outbound

This paper cites Dˆ 2nerf: Self-supervised decoupling of dynamic and static objects from a monocular video.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Dˆ 2nerf: Self-supervised decoupling of dynamic and static objects from a monocular video

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.341912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.954874Z digest=sha256:fbf114eabb5c6a33bbcebaa7e46af547fa04474d4152e75fc94c5c9ef8454050

Observation 18277545-88cb-4734-bb24-1b47ebdfe571 · outbound

This paper cites Fast dynamic radiance fields with time-aware neural vox- els.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Fast dynamic radiance fields with time-aware neural vox- els

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.330364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.958393Z digest=sha256:e0bac38e5c726ffb6ab3b7f5ab5d2c58cb6ebd396ec56b78fca6d9b11c1ceb88

Observation 02b90a69-e4b8-47a1-b03d-35154b1ae058 · outbound

This paper cites Spacetime gaus- sian feature splatting for real-time dynamic view synthesis.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Spacetime gaus- sian feature splatting for real-time dynamic view synthesis

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.318346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.961690Z digest=sha256:08aaf19426c4c4e08bb06d4784e2e13bb0a9962712998522000a0238148d2223

Observation 9793b4ea-05cb-451d-a281-a9093192dfc0 · outbound

This paper cites GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:19.964927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.964927Z digest=sha256:740f69ed8cefbac6155a1f41b9330a584f45bbca108eab834b19f667cacb91dd

Observation 001a5a89-9cc6-4ae8-b9ba-fe7544635f1f · outbound

This paper cites Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.307470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.968390Z digest=sha256:d1779c15466395647504a444b9a1e4702a97d9b12bc38fd79a163b11d61541ad

Observation 0bcdd9bd-fa39-4581-a7ce-5c6d243a473e · outbound

This paper cites Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:19.971917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.971917Z digest=sha256:dc1f3bb3e2f0a120c7b496e1afcf3b23a60948743d94a946ec477b441a15054f

Observation 26908055-01e2-4745-b8d8-ba49e8e4d7ce · outbound

This paper cites DreamGaussian4D: Generative 4D Gaussian Splatting.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features DreamGaussian4D: Generative 4D Gaussian Splatting

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:19.975547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.975547Z digest=sha256:5c6e81bafe5d0e0fb9c431182aedf7947ab4afdb13abd1b76db2795f7a616b9c

Observation 2ebe33e0-d819-4072-92f2-db6e09bcbbff · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features DINOv2: Learning Robust Visual Features without Supervision

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:19.979022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.979022Z digest=sha256:61273a8ee8af76cf46650d49edac6cb8fb124350e8828f2534de8fd633bf78e7

Observation 0d380227-2994-431e-9e68-44ca9bcf0587 · outbound

This paper cites Pc2: Projection-conditioned point cloud diffu- sion for single-image 3d reconstruction.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Pc2: Projection-conditioned point cloud diffu- sion for single-image 3d reconstruction

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.296122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.982592Z digest=sha256:9348bfec7dd9319ea9219ec1485d8ed5f218661dc9a589f47e06b06d142c8245

Observation bdf43da6-0a96-40f5-9a3d-cac84ef9454c · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Hexplane: A fast representa- tion for dynamic scenes

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.284622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.986321Z digest=sha256:ad3eeef646fa89fea957b3fb79f4f447dff5d61dc932cbdd66e923fccd9392fe

Observation b6303f90-b497-4413-ae30-626a8a29b82f · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features LRM: Large Reconstruction Model for Single Image to 3D

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:19.989819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.989819Z digest=sha256:25955dd2e9f67452bf04b758ecdd23ab2e16455e061ecfd7e2e6550a73c97145

Observation 0c7fd3c7-0241-4ea9-8ba7-42a21f35d554 · outbound

This paper cites Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T05:22:20.272528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T05:22:19.993725Z digest=sha256:5d195bfc9905d5965a2395910e809b5f1400de20dbfe5fba3aa247d527d1ce8b

Observation 0dd6cbb4-a211-4efd-a9b7-60d2e00f5dcf · outbound

This paper cites DepthSplat: Connecting Gaussian Splatting and Depth.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features DepthSplat: Connecting Gaussian Splatting and Depth

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:19.997096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.997096Z digest=sha256:f8f94110f4ed2085a6411ef8e7d73c0ac536b91fcc01841f3eefe2f822d10470

Observation 7cae38f1-1d4a-4f6b-bfa4-c160e0550b9d · outbound

This paper cites Depth Anything V2.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Depth Anything V2

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:20.000920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:20.000920Z digest=sha256:6771ac8f465cc98f872ce7c32beb1040c7e68b06e2d3352f6a0c710645eb7323

Observation 4fe74010-2bc5-41ad-bb23-ff6122d38737 · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features The unreasonable effectiveness of deep features as a perceptual metric

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:20.005486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:20.005486Z digest=sha256:9579b802e3067d3cce8d6fffdf447ace2bf6f44ff56340d23d16bba7c5b58134

Observation e3f75822-c5d7-4fc7-bd74-a5845475cd24 · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:20.009165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:20.009165Z digest=sha256:3d5a462a20d7a7c73cfbe7eedc1950cdbebfacaee69b30cf5c7ff380254d796d

Observation dff7a798-0de9-47af-a116-2f62a3568adc · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:20.012991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:20.012991Z digest=sha256:66234c64e91f273fb0999fd70154c94c785412ca40563fdb25029d42d4c72ad6

Observation cd7b152f-0f7e-4b07-a57c-e6365ea7a45e · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:20.016729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:20.016729Z digest=sha256:5d583f4c4e601db416c067f434759cdab72c2d10ad87f74c1914b6b98ad4f444

Observation 6e8aaf2d-26f9-4ad7-a5cc-8258ecd41986 · outbound

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

Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-08T05:22:20.020565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:20.020565Z digest=sha256:6d8a802d70a9369dfc2b5a9a859a18b2ec0100fc2412ec9ef3390d85521b3f05

Pith citing papers

Observation 2d089f24-f718-4f01-a862-e351e345c1cd · inbound

R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow cites this paper.

R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features

Reference 126

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:09:23.567511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-14T19:07:53.671769Z digest=sha256:7d14a2408d85d1634fb8dd502e6dcc590204601c57f072f0172f618ecbeb7131

Observation e53baca4-33ab-4ca5-a693-ee5978cfaf4f · inbound

R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow cites this paper.

R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features

Reference 126

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:09:49.432070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T06:08:52.321351Z digest=sha256:ddf3e9978a49ade6f2d2fc780ef56e48688b6094412e7ef15335336708206dd2

Observation b73c1ccb-a818-4d28-aacb-92a06da7460d · inbound

Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation cites this paper.

Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features

Reference 233

Resolution
unresolved
no resolver link, observed 2026-08-02T06:23:50.361291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T06:23:50.361291Z digest=sha256:0c0e356778f65d7996b72a59fe0e7e77232362199f7ca5e999acaa4f85e6752c