Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GS-Cache: A GS-Cache Inference Framework for Large-scale Gaussian Splatting Models
As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.14938.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T02:50:56.040913Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T18:04:57.819555Z
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 1b886429-45cc-4bf9-84f5-5540350086b7 · inbound
TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core Optimization cites this paper.
TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core Optimization GS-Cache: A GS-Cache Inference Framework for Large-scale Gaussian Splatting Models
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T05:43:05.482814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ada72093-2ba1-499a-a066-e1a10d073679 · inbound
TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core Optimization cites this paper.
TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core Optimization GS-Cache: A GS-Cache Inference Framework for Large-scale Gaussian Splatting Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:04:57.821228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1ff457f8-3f5b-4ec9-8740-9481360d90ad · inbound
TemporalGS: Training-Free Plug-and-Play Acceleration for 3D Gaussian Splatting Rendering via Temporal Priors cites this paper.
TemporalGS: Training-Free Plug-and-Play Acceleration for 3D Gaussian Splatting Rendering via Temporal Priors GS-Cache: A GS-Cache Inference Framework for Large-scale Gaussian Splatting Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T02:50:56.040913Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.