Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.01148.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:40.930305Z
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 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.