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Paper Citation Record · LEDGER

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2403.00485.

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

pith.paper-citation-record.v1
2403.00485 v3

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 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T09:57:31.774637Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T10:01:13.650921Z

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 25ab9c66-19a6-4ac7-bf79-af400adcd12c · inbound

PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling cites this paper.

PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:01:13.653649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T09:57:31.774637Z digest=sha256:70103e0a08661cdd0642f5a6c21416b6227ade722abb23c0095b88db3e3ca98a