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Paper Citation Record · LEDGER

NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.09431.

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

pith.paper-citation-record.v1
2303.09431 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:38:44.826227Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:19:13.059237Z

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 1fb98577-1b57-4565-929a-d6ed10b9bb55 · inbound

FreBIS: Frequency-Based Stratification for Neural Implicit Surface Representations cites this paper.

FreBIS: Frequency-Based Stratification for Neural Implicit Surface Representations NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:44.826227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:38:44.826227Z digest=sha256:d487a795170363b0cd735a1518d5475437b98867e4ebfb05ec4d8872304d98fb

Observation e38e847a-b1e1-4157-a344-aee60c2bdfa5 · inbound

NeuMesh++: Towards Versatile and Efficient Volumetric Editing with Disentangled Neural Mesh-based Implicit Field cites this paper.

NeuMesh++: Towards Versatile and Efficient Volumetric Editing with Disentangled Neural Mesh-based Implicit Field NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:19:13.060789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T21:22:05.653570Z digest=sha256:870373b20156ed332d8d8ea3b7b0fc469f12f1bb033332c6cbd8934d03f2a5e0