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Paper Citation Record · LEDGER

A Review of Deep Learning-Powered Mesh Reconstruction Methods

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2303.02879.

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

pith.paper-citation-record.v1
2303.02879 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:52.814094Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:45:53.129947Z

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 21379376-be7f-4803-b4ab-9740371f0a9e · inbound

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes cites this paper.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes A Review of Deep Learning-Powered Mesh Reconstruction Methods

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:45:53.133949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:45:52.814094Z digest=sha256:41b2baa560cce8526a1142bb811c3e129841d46ee0a6d7c6882dd3e4fda50cc5