Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Novel Benchmark and Dataset for Efficient 3D Gaussian Splatting with Gaussian Point Cloud Compression
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2505.18197.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T23:05:41.154575Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T15:57:07.553227Z
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 31f71804-69a7-46b4-bff8-1b9f33ca601c · inbound
GS-NFS: Bandwidth-adaptive Streaming of Dynamic Gaussian Splats and Point Clouds cites this paper.
GS-NFS: Bandwidth-adaptive Streaming of Dynamic Gaussian Splats and Point Clouds A Novel Benchmark and Dataset for Efficient 3D Gaussian Splatting with Gaussian Point Cloud Compression
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T15:57:07.554606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.