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Paper Citation Record · LEDGER

GS-Cache: A GS-Cache Inference Framework for Large-scale Gaussian Splatting Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.14938.

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

pith.paper-citation-record.v1
2502.14938 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:41:51.262349Z

measured 0 of 1 external citation measurements

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 d949575a-632f-4f6e-bfc6-0384c33fce3f · inbound

No Redundancy, No Stall: Lightweight Streaming 3D Gaussian Splatting for Real-time Rendering cites this paper.

No Redundancy, No Stall: Lightweight Streaming 3D Gaussian Splatting for Real-time Rendering GS-Cache: A GS-Cache Inference Framework for Large-scale Gaussian Splatting Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T12:41:51.262349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:41:51.262349Z digest=sha256:a441b6f1beba32f4db8ca02fb47e105704c106da1b4177eaa0f9fc35b4360a5f

Observation 36c98441-3151-49a0-badd-8e85cb630144 · inbound

Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting cites this paper.

Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting GS-Cache: A GS-Cache Inference Framework for Large-scale Gaussian Splatting Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T13:54:07.316161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:54:07.316161Z digest=sha256:977a28d4c8eb464cb7371e61e6ffac7fc031fc6341b47de795303e8e8eb9b2af

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T05:42:17.021523Z digest=sha256:dc888c640826f08a88857275c9fe5f11c90f55b576296d3aa4ff8870de0a1c40

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T18:04:00.730797Z digest=sha256:288a4e9e546a72674f2290fe069599215ab4754eeb8aef959ae19ba56392e57e

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.

source=pdf_text observed=2026-07-12T02:50:56.040913Z digest=sha256:10aae4d2365b6e94a2ca984fa772f41c6b8259de3b81631c43ab954cf84413a7