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Paper Citation Record · LEDGER

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians

As of 10 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.22717.

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

pith.paper-citation-record.v1
2607.22717 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:05:56.598234Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

26 of 26 outbound references displayed

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Outbound references

Observation 80794851-d8c5-46ae-919b-d9c853ef6516 · outbound

This paper cites Gaussianvideo: Efficient video repre- sentation via hierarchical gaussian splatting.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Gaussianvideo: Efficient video repre- sentation via hierarchical gaussian splatting

Reference 1

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Observation 710916e4-8ae4-4773-9ccd-15d9c7c7f31e · outbound

This paper cites Nerv: Neural representations for videos.Advances in Neural Information Processing Systems, 34:21557–21568, 2021.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Nerv: Neural representations for videos.Advances in Neural Information Processing Systems, 34:21557–21568, 2021

Reference 2

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source=pdf_text observed=2026-08-01T13:05:54.484457Z digest=sha256:9f13d3ac589fda4ae1da2b6496838b84927b3a39db33d583ea3f670aeecd0090

Observation c609fe00-de8b-473b-b520-82de6630d5fb · outbound

This paper cites Hnerv: A hybrid neural representation for videos.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Hnerv: A hybrid neural representation for videos

Reference 3

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Observation 0938ba16-46b4-4c77-a42b-79abff8ee5d7 · outbound

This paper cites Gaussianeditor: Swift and control- lable 3d editing with gaussian splatting.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Gaussianeditor: Swift and control- lable 3d editing with gaussian splatting

Reference 4

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source=pdf_text observed=2026-08-01T13:05:54.587906Z digest=sha256:4d7de36e1c836f233900c30e4d0a1b159102243bfd04f59fed41720d19aef69a

Observation cdc4b2dc-6b63-4baf-8dcb-3de025a7db35 · outbound

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

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 5

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source=pdf_text observed=2026-08-01T13:05:54.653169Z digest=sha256:959bf6045506712d8cf6a940f4ed053786c7d446391d2fe59396e99790744261

Observation 4d438ce1-f75a-4531-815c-fa7d8ea7b6e7 · outbound

This paper cites E-nerv: Expedite neural video rep- resentation with disentangled spatial-temporal context.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians E-nerv: Expedite neural video rep- resentation with disentangled spatial-temporal context

Reference 6

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source=pdf_text observed=2026-08-01T13:05:54.702830Z digest=sha256:35845fa104eb835ed002d7a57587b9b3b9131f2b8d501d90239dc460de661d6e

Observation f30bbeda-04bd-45ec-9004-3a4a42cf914b · outbound

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

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Spacetime gaus- sian feature splatting for real-time dynamic view synthesis

Reference 7

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source=pdf_text observed=2026-08-01T13:05:54.754106Z digest=sha256:b54c7b00c3bc716ac5d97ce169caba7c5fc142669d4fbefe2833486114a5cbbc

Observation 3b4e0cd7-12f7-452b-a914-508437a41d2a · outbound

This paper cites Robust dynamic radiance fields.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Robust dynamic radiance fields

Reference 8

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source=pdf_text observed=2026-08-01T13:05:54.804825Z digest=sha256:ed5de20a4897b0472ce22689de726b136dc299da37dff5e5af65792f34febd28

Observation e1d92b4b-c450-4d34-860d-ef2f6f75143e · outbound

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

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis

Reference 9

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source=pdf_text observed=2026-08-01T13:05:54.867469Z digest=sha256:462ad5f72d6f63666575aeafc8faa785f40b4f8051b6f0801e298d022f5ab34b

Observation a46dafa8-d502-410b-8552-201b5ee79c17 · outbound

This paper cites Codef: Content deformation fields for temporally consistent video processing.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Codef: Content deformation fields for temporally consistent video processing

Reference 10

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source=pdf_text observed=2026-08-01T13:05:54.926732Z digest=sha256:343f81dec48eea28880cd80f29f5c73bf423f6df7a5b19f64f425ec0c20ad9dd

Observation df55e6af-7f2c-42d3-a9d0-a20335a458a7 · outbound

This paper cites Nerfies: Deformable neural radiance fields.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Nerfies: Deformable neural radiance fields

Reference 11

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Observation 286e16c9-faa0-4ee9-851a-52f8061d5fae · outbound

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

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields

Reference 12

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source=pdf_text observed=2026-08-01T13:05:55.070703Z digest=sha256:0365a867d9155e9e9f31820780e28a9458b35faf89a1d28d7b8cc8c3b401593c

Observation 9658b7f1-974d-4f36-9a40-af462d0276a8 · outbound

This paper cites The 2017 davis challenge on video object segmentation, 2018.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians The 2017 davis challenge on video object segmentation, 2018

Reference 13

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source=pdf_text observed=2026-08-01T13:05:55.167696Z digest=sha256:306ec269248ae99bf7fc820ce5de842bf86c8e16a048689f1866884440f82b43

Observation 6a6759e2-0457-461f-88ee-c0007bc62766 · outbound

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

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians D-nerf: Neural radiance fields for dynamic scenes

Reference 14

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source=pdf_text observed=2026-08-01T13:05:55.299294Z digest=sha256:cc8f8306242d373d3f8506fa98242a78434ad245500125e10b67a114b66a6e2b

Observation 5d1e56f7-fc49-4c44-97b8-84bc516e7ecd · outbound

This paper cites Vegas: Video gaussian splatting.Information Sciences, 735: 123033, 2026.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Vegas: Video gaussian splatting.Information Sciences, 735: 123033, 2026

Reference 15

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Observation fcc1b4d5-5d60-4192-b9c4-35f9ed9fe26d · outbound

This paper cites Splatter a video: Video gaussian representation for versatile processing.Advances in Neural Information Processing Systems, 37:50401–50425, 2024.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Splatter a video: Video gaussian representation for versatile processing.Advances in Neural Information Processing Systems, 37:50401–50425, 2024

Reference 16

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Observation b8bf8471-82ac-44c3-8312-f4428c05c8cd · outbound

This paper cites GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting

Reference 17

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Observation 774f8f8e-8c80-45a6-a7db-09ecc80e6134 · outbound

This paper cites Mirage: Editable 2d images using gaussian splatting.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Mirage: Editable 2d images using gaussian splatting

Reference 18

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Observation c8ebc1ea-8958-4b5e-8eef-4c65fcd02f87 · outbound

This paper cites Tracking everything everywhere all at once.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Tracking everything everywhere all at once

Reference 19

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Observation 3ad1f2eb-0e87-4ecd-8add-4be5974d5f63 · outbound

This paper cites Anycam: Learning to re- cover camera poses and intrinsics from casual videos.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Anycam: Learning to re- cover camera poses and intrinsics from casual videos

Reference 20

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source=pdf_text observed=2026-08-01T13:05:55.997408Z digest=sha256:67cf8a33a902a4525d442d2c96c89df06bc4aceaafb34856fbcfee8890503257

Observation c65c845d-ebec-459a-b6a2-6d3f54ec3e47 · outbound

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

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians 4d gaussian splatting for real-time dynamic scene rendering

Reference 21

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Observation 92148dce-2218-4d74-8349-2bfd6fa13eda · outbound

This paper cites Physgaussian: Physics- integrated 3d gaussians for generative dynamics.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Physgaussian: Physics- integrated 3d gaussians for generative dynamics

Reference 22

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Observation 6f0ad370-9a60-453b-b760-f544c9957eba · outbound

This paper cites Deformable 3d gaussians for high- fidelity monocular dynamic scene reconstruction.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Deformable 3d gaussians for high- fidelity monocular dynamic scene reconstruction

Reference 23

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source=pdf_text observed=2026-08-01T13:05:56.370282Z digest=sha256:f06b7e3a2d89b045f61cd33d7bf84de7c56c661db47f6dcc14ecbecb64596ff5

Observation 556f922d-b163-432a-a986-3e16d504efe9 · outbound

This paper cites Deformable sprites for unsupervised video decomposition.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Deformable sprites for unsupervised video decomposition

Reference 24

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Observation fa81ce23-368b-42f7-b0b3-bcda4a314f6a · outbound

This paper cites Gaussianimage: 1000 fps image representation and compres- sion by 2d gaussian splatting.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Gaussianimage: 1000 fps image representation and compres- sion by 2d gaussian splatting

Reference 25

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source=pdf_text observed=2026-08-01T13:05:56.554086Z digest=sha256:5a877bea3ee65e067a2e6e6d17670ca7f60a76754e632ff8b5af5665d7673bd9

Observation 7f72c613-0111-4674-91ce-5f5a3efdd80a · outbound

This paper cites Dnerv: Model- ing inherent dynamics via difference neural representation for videos.

TOM-GS: Editable Video Representation via Temporal Opacity Modulation of Static 3D Gaussians Dnerv: Model- ing inherent dynamics via difference neural representation for videos

Reference 26

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