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Paper Citation Record · LEDGER

GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.01853.

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

pith.paper-citation-record.v1
2411.01853 v3

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:25.812225Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:04:29.720374Z

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 3e5b93f9-38a9-4702-b80c-dd9b496c05c9 · inbound

Grids Often Outperform Implicit Neural Representations at Compressing Dense Signals cites this paper.

Grids Often Outperform Implicit Neural Representations at Compressing Dense Signals GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:25.812225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:25.812225Z digest=sha256:67bf2e63d56cc0bbb116876a4bd60009eeb53545894861b4987a316b6aa5c6af

Observation c15e5973-cd96-463d-806a-540714fc2f3e · inbound

Wavelet-GS: 3D Gaussian Splatting with Wavelet Decomposition cites this paper.

Wavelet-GS: 3D Gaussian Splatting with Wavelet Decomposition GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:04:29.754947Z

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=2026-08-06T17:04:28.680055Z digest=sha256:360ec3ba044259c8baa4caf2d7873ed83567efdcb23356befc4c64cde794d380