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Paper Citation Record · LEDGER

Realistic Synthetic Social Networks with Graph Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.07843.

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

pith.paper-citation-record.v1
2212.07843 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:14:05.136640Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:55:10.203279Z

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 9f855d10-238f-48c2-9286-568fa70afb81 · inbound

A Metric for the Balance of Information in Graph Learning cites this paper.

A Metric for the Balance of Information in Graph Learning Realistic Synthetic Social Networks with Graph Neural Networks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.136640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.136640Z digest=sha256:a738d135a47eddadab608127d3a4b4c6f821059be353b4a62b09c4c9f3d50de8

Observation 88915cee-e29a-49f3-a9c7-04fa73acfd49 · inbound

How to Use Graph Data in the Wild to Help Graph Anomaly Detection? cites this paper.

How to Use Graph Data in the Wild to Help Graph Anomaly Detection? Realistic Synthetic Social Networks with Graph Neural Networks

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:55:10.216117Z

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=2026-08-07T10:55:09.166949Z digest=sha256:00a0d29ebd25207f7fcdb2261dcf7540e99bb202c2544adb56ba2c3e09607703