Paper Citation Record · LEDGER

Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2104.01148.

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

pith.paper-citation-record.v1
2104.01148 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:38:16.018377Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:09:15.411475Z

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 41e25607-7d1e-4b8e-aa86-c4963b6a7a87 · inbound

Leveraging Color Channel Independence for Improved Unsupervised Object Detection cites this paper.

Leveraging Color Channel Independence for Improved Unsupervised Object Detection Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T11:38:16.018377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 931c4ab6-2b7e-421b-a2c9-487525676012 · inbound

Tackling View-Dependent Semantics in 3D Language Gaussian Splatting cites this paper.

Tackling View-Dependent Semantics in 3D Language Gaussian Splatting Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:40.930305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d70a4e01-ada6-4468-ba87-5216ba3a4a76 · inbound

Scene-Agnostic Object-Centric Representation Learning for 3D Gaussian Splatting cites this paper.

Scene-Agnostic Object-Centric Representation Learning for 3D Gaussian Splatting Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:41:33.055920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aaa74152-9ca7-47fd-98b7-35e50e96b96c · inbound

3D-DLP: Self-Supervised 3D Object-Centric Scene Representation Learning cites this paper.

3D-DLP: Self-Supervised 3D Object-Centric Scene Representation Learning Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:15.413819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.