Pith. sign in

Paper Citation Record · LEDGER

3D Point Cloud Denoising via Bipartite Graph Approximation and Reweighted Graph Laplacian

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1812.07711.

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

pith.paper-citation-record.v1
1812.07711 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:56:37.989000Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T15:33:08.131150Z

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 757832d5-6235-463e-a61f-df68b5fb24f5 · inbound

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals cites this paper.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals 3D Point Cloud Denoising via Bipartite Graph Approximation and Reweighted Graph Laplacian

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T12:56:37.989000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:56:37.989000Z digest=sha256:32955c5065784b0f31a06328f14807165f6db8c4dbe1af2518717529e88ddb7a

Observation 27bfd2f0-4b2c-459d-8003-9a3b508b037d · inbound

Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks cites this paper.

Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks 3D Point Cloud Denoising via Bipartite Graph Approximation and Reweighted Graph Laplacian

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:33:08.144579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T15:33:07.389240Z digest=sha256:8825c0bd40f55ee0b007a2e6fcd71c7b42021e20febd1d9ac04401f2df190a6a