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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 8 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 2026-08-08T06:32:00.761636+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:a2e555b65d1c15b02df7476dd2b879ae1d3205da681a339fcc2455a9ff7300a0

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.816723Z digest=sha256:a1284abce8f70b86b9c4d91bf14cc202003d649b9118f5d98ecf578bd91633d2

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.820709Z digest=sha256:a6961d1ccb42509dbab2ba466bb13a7b384c56f419d9a32488c27d4befa2aefe

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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verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.824476Z digest=sha256:55713072dd5e165278f9f3c7affe5a8c0bf87fa0fae05a37962cfd3f1fc6be15

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.828044Z digest=sha256:f37b8447e84f53548b526fbd713a807e97f8f300357e3f886106eafe1fc59402

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.831492Z digest=sha256:ac8d6f093075a43ad2fdad56d355e9e1c18d638f652a1c82b9b8827be2d40c3a

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.835301Z digest=sha256:dbdd47d0141c337aa242f76fcd18a982cdf5b30696a420f2a4ee363ee846847c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.838646Z digest=sha256:81d3b381014d38443586b03bcef6fdbf3269b6729a51b3f9ae22382a57c4f359

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:ab8e31dbd002de3a0b98d4ff58bfdbf2d9134073d265510aa59aed09d8222b3b

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=sha256:0587b40da98d97bf00bca06c17f36ba1f0b5b3d6d97be175f1ba4ce698784862

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:c7aaebab0481fa881a80ba8a41035de1c1d4db2b6e4f9f66698b6c6692725e82

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=sha256:8edbf8070c838d7a26b3223327450499b495b569650c59d3bc5f7409cf862cfa

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=sha256:4187d246aa61f9560b50b8788596d99ededd23d2125ccea895c2bdb600baf901

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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unresolved
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:ce380f2a03b7953e1b0f95bb85ce8e07f503f6bade19ba1807a0b81ee952dcf7

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.864341Z digest=sha256:c784180697d7ddf1e687920a9b846968e73401130cf3f73a59e8ab929977408e

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=sha256:875a4dd03ea10d7548083ce8e6c056b8e8067d30778118ec7b38877f4ae1e369

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.872015Z digest=sha256:1c0a1a35ce10cd5b34b15ffa70cdcae6a338dc6998a4035a865775e6f20ec846

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=sha256:81a766ae60f75f757119acd74267e7538ec881de13dad567f935d5dd688117ad

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=sha256:8d824177bd611eb3882b5cbb37d4d8e18bace4f185c2d4a6d5c2c5359af56928

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.883354Z digest=sha256:49e84236b31967bbfbe868ade4c2009a9edbae1ad2401969760623d3ffedc7f0

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=sha256:7ea1f3d42020360fc06168da746fb6a40c6adf63652b54046365644e49ccd0d4

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.890056Z digest=sha256:f31274cd08db291779275c16753b0ca801a41b71b26e1f3aba54f6bfa90153cf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.893420Z digest=sha256:5587320336e7e93330aaaad61973cdea399152c997818d6ea8e9c3b844151606

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.896832Z digest=sha256:f9919fade561bca769aeb4c3c0f5b1ed9b94f58aebb67a9c221ddf265e885f27

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.900199Z digest=sha256:f72529398356c4eba7e3020b0e9f7eae5fc32b73851557f1e28163650cf8ab6a

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:22:19.903868Z digest=sha256:cff094ce56e1b0e80c2e3282f2fc7922f7d1631d28a33644c56156d0f1ff791e

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.907374Z digest=sha256:d1ab3ecea0402721a5c178eec05cc0b6e8dd81d1ab6a04b8ebcfb6a0ec559612

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.910883Z digest=sha256:ef4bc52af0dd2d1ed7bb06eff2ca8bc1a03576cb06e2e88e845b64ef9e9aa4ea

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.914310Z digest=sha256:40752a2eb20f2a944a23cdbb7c6b122146bf6f9a54cb7cfdf9d60b359cdbfa16

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.917687Z digest=sha256:28ea934e144c5254d660ae4431bd6ccf0dc30d40080b0a703de0eda0ff0eef60

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:b0a0e440bc3bfd888c49da40dfc39cbb82f98a637dbad4b2eec05c94a4067d8f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.924306Z digest=sha256:9dcd7700b26e16e70b09776dc7ba119cc9dd8ea7666ee4e6f10ac085d0cfeda5

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=sha256:0fe8fb50d07379112e0ddb7eb0b449ca016afd9ea7414de7238b05f1c334a529

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

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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=sha256:4bbd1a3841b4101afb97fae0f560394daec99a1794333e54ef3181170d352337

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.934394Z digest=sha256:8fd4c4542b43f90a0dfacdd81ec57913da5a73f0f957df056396ea962f7d33b0

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=sha256:7935664e37ce62026c6d413ae34c0c7cab54a68f7c3e40c6a954e14f52061c52

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.941622Z digest=sha256:a6be5cd9b86ffb7dd5a2abd9f7657d4522ff19e6c36ea965ab235d9d7b723a13

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.944929Z digest=sha256:4b2b6e25ec7b381674fc70167a1b98d403d592d7966559994c43cdf2901d2133

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:cc858b55e5625a2a554d7313a4b10d47422c950588c0024db9d8b7d7a12baa30

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:ef898f4f5d705a6e66701d91b8493611ad1c35add95f3dc0cdfef8321ce961dd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.954874Z digest=sha256:241305d27f3a62e00286c797c7059faca2d806a45da08810f98d782c7a93f24e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.958393Z digest=sha256:850174d96d7ea2c3d0572949abbf3943cd56f36ccdb09921e31b343720ff850f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.961690Z digest=sha256:2359f8e7a4a964f071b2e38f74c26e2d7f9366083a7c130593c9c2cbe5d78e00

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=sha256:80866ad53cc4549791d6ccfec1817db48cc2b5da6cc7fb7a7d2cd47c6bde1f3b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.968390Z digest=sha256:d62cdbb4bccbb35a7fafb0533f4b7b52f4767edeadef346ec3ec93bc8045590e

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:d53aa9642346c8fd0b3a58654026520901fb689970978352298347705cd795e2

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:f5804ef62d52b33420f4024e52b6c676b949772bd6080c20779979772adb7e32

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=sha256:076dc688baec26081d40cf7cfb21fa197b1d310a1c727adebe705048389f2161

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.982592Z digest=sha256:bf1a60f0facb7383bc82f88acd365122128024ada095324c9f6fd96ad28a2943

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.986321Z digest=sha256:94ec4cb19d9a322efd777db40f98cf166a6d993016066ea8572f9c0f3edc3524

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=sha256:6946def119b88e6e53df8ea7b13414485f81bb3082624674b3601690409c4da8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T05:22:19.993725Z digest=sha256:78ec715fdd2363bbd6fe64093f229c926578b716b55a7ca3ab1d9effceed7fc8

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=sha256:889dde89c0f0e5e473094edfc1105840e6ef68d48e9cc328c688450d49320024

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=sha256:5884b9afe35a2f031d8470df21d5b3ada57f6d1cb051ba966eada26d72c28a58

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:bfddb36b429c20548f8bf3be181cb147e1c0052d0686fbb0cd9032ca58034eb3

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:e318533bb14326ebfa1a1666da5f4a2301e577748f758cc68f94f4f2b2351885

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=sha256:9e10f20faf7d3900fd95b14a03472f60d298f05bfb72ab818ba7af97dcc1a547

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=sha256:5078e52c26f45bf8cae9d256dfc4229302d8dda9fd5cdfeb4e4c73895e674203

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=sha256:26561593cb5cf877091d71c9b6ef2f513400ab3a89a70ee48f9d36be626af918

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T19:07:53.671769Z digest=sha256:6d210061b7b7218ab7f5c055be60ad503de8afcd9c471064eb0fea58e2e72c38

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T06:08:52.321351Z digest=sha256:e7aa92b2c7d3eb0cf8baed3d5f1fb115453c4624a706e3e2eb8125d646aad4fe

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=sha256:395822198f087c09c59df263620374c6169dc30aba77a08b9ea1a5d220a077f4