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Paper Citation Record · LEDGER

Segment Any 4D Gaussians

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.04504.

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

pith.paper-citation-record.v1
2407.04504 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:01:08.227915Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:39:04.079591Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ddd30222-0c9c-4a3e-a45d-9da8e7c8f95f · inbound

A Survey on 3D Gaussian Splatting cites this paper.

A Survey on 3D Gaussian Splatting Segment Any 4D Gaussians

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:18:54.395423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T04:17:05.906282Z digest=sha256:4ecb1716bbabe62e32d0d34f74545017568472aeabbb113cc1902605baaf40a0

Observation fc2b4bbd-fd49-4144-b2d5-4a95e91ca3a7 · inbound

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation cites this paper.

Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation Segment Any 4D Gaussians

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T20:01:08.227915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:01:08.227915Z digest=sha256:8d70428f9758f41abf35efd3bd01f935663296178976cd6125f096a24ea26606

Observation eace6a11-0af6-415a-af2a-1a519767477f · inbound

VolSegGS: Segmentation and Tracking in Dynamic Volumetric Scenes via Deformable 3D Gaussians cites this paper.

VolSegGS: Segmentation and Tracking in Dynamic Volumetric Scenes via Deformable 3D Gaussians Segment Any 4D Gaussians

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T16:50:00.618717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:50:00.618717Z digest=sha256:e6e238695f6bae91316f391b51ce63a8127a99ed4d0835b2b7fc7f0fa3bab66b

Observation 3bb5529e-16b1-4b36-8d19-2947e34c4b13 · inbound

Gaussian Splatting Feature Fields for Privacy-Preserving Visual Localization cites this paper.

Gaussian Splatting Feature Fields for Privacy-Preserving Visual Localization Segment Any 4D Gaussians

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T10:42:04.924738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:42:04.924738Z digest=sha256:2ce7f9cde70607f73377ec9570a46f378c777cc90eb753ef25a1efcd93497c6e

Observation bc941ce3-b25f-470f-8f6a-edd597270be0 · inbound

Leveraging 2D Priors and SDF Guidance for Dynamic Urban Scene Rendering cites this paper.

Leveraging 2D Priors and SDF Guidance for Dynamic Urban Scene Rendering Segment Any 4D Gaussians

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T09:48:43.233268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:48:43.233268Z digest=sha256:cb4c5d739bf03257b6ccf6e218cb1b2dcd81f744adc28633a99091761feca202

Observation ebf2b492-96f0-4872-aab5-00c06e598dd2 · inbound

Advances in 4D Representation: Geometry, Motion, and Interaction cites this paper.

Advances in 4D Representation: Geometry, Motion, and Interaction Segment Any 4D Gaussians

Reference 120

Resolution
unresolved
no resolver link, observed 2026-08-04T08:45:15.464736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:45:15.464736Z digest=sha256:ce01729c3cc2960ea43c670eebc1f4141fabb303a5a09c02c30e2a296c68714b

Observation 1dc696f1-0460-44f6-8b95-cf474a524072 · inbound

PanopticQuery: Unified Query-Time Reasoning for 4D Scenes cites this paper.

PanopticQuery: Unified Query-Time Reasoning for 4D Scenes Segment Any 4D Gaussians

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:15:48.327543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T20:07:38.683842Z digest=sha256:cac2a8f8418c1d187de6f1c868c61bd51deffc630e0d924520c0c247939be2ae

Observation 62a17f1b-c5f9-42b5-b1e3-d37dea4a294c · inbound

Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction cites this paper.

Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction Segment Any 4D Gaussians

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:12:47.247950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T23:07:50.491677Z digest=sha256:818f2f1a84a60fb287f34e6e9d6120d23c759a190c5bfca8799f5c851f185014

Observation d40924c5-6793-475c-9ea5-d4a9efbf186a · inbound

Intrinsic 4D Gaussian Segmentation from Scene Cues cites this paper.

Intrinsic 4D Gaussian Segmentation from Scene Cues Segment Any 4D Gaussians

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:39:04.083940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T21:56:08.549818Z digest=sha256:1cfde4d3bb81fa56b094f1b828bc92ef75a019148905b946114fc1b330690fe3