Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.01220.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:51:29.365175Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T16:58:42.430970Z
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 92fb754c-c8f1-43c6-bd58-da9d7277fed6 · inbound
SemanticSplat: Feed-Forward 3D Scene Understanding with Language-Aware Gaussian Fields cites this paper.
SemanticSplat: Feed-Forward 3D Scene Understanding with Language-Aware Gaussian Fields Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:51:29.365175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1df012d7-f6af-44bb-9203-047b50303c33 · inbound
A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation cites this paper.
A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T22:41:53.318940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ebf4c735-9b57-41e0-839b-faffbe4887a2 · inbound
Bridging 3D Gaussians and Semantic Occupancy for Comprehensive Open-Vocabulary Scene Understanding from Unposed Images cites this paper.
Bridging 3D Gaussians and Semantic Occupancy for Comprehensive Open-Vocabulary Scene Understanding from Unposed Images Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T16:58:42.432835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.