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Paper Citation Record · LEDGER

GaussianPro: 3D Gaussian Splatting with Progressive Propagation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.14650.

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

pith.paper-citation-record.v1
2402.14650 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T00:55:45.249720Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

21
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 88301128-e439-4949-b500-405755d51627 · inbound

Realizing Immersive Volumetric Video: A Multimodal Framework for 6-DoF VR Engagement cites this paper.

Realizing Immersive Volumetric Video: A Multimodal Framework for 6-DoF VR Engagement GaussianPro: 3D Gaussian Splatting with Progressive Propagation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:45:56.175716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:58:12.638616Z digest=sha256:5a7c964712d3bbb8482326d1a3422f2753ac7feb4479ca1fc35aab1d796e8468

Observation 07d43992-37ec-4360-92f3-95f7d0adf68b · inbound

Deep Learning Approaches for 3D Medical Scene Completion: From Geometric Modeling to Generative Paradigms cites this paper.

Deep Learning Approaches for 3D Medical Scene Completion: From Geometric Modeling to Generative Paradigms GaussianPro: 3D Gaussian Splatting with Progressive Propagation

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T00:58:47.633413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T00:55:45.249720Z digest=sha256:16f7a52bf43f2a613e9e1341d8031aafa4207f1e163d3592dc9c5f8f3be2f823