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Paper Citation Record · LEDGER

Anomaly detection with Convolutional Graph Neural Networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2105.07988.

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

pith.paper-citation-record.v1
2105.07988 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:57.002945Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:38:52.970466Z

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 49a563ef-65b0-472f-8ed2-a2eb8a9c9e3f · inbound

Quantum similarity learning for anomaly detection cites this paper.

Quantum similarity learning for anomaly detection Anomaly detection with Convolutional Graph Neural Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T20:15:33.028325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:15:33.028325Z digest=sha256:83d853146f55be9470634400d920307149e6b3f0588c5f2836c997b12c7b17c5

Observation f768af68-c621-4b04-8bbc-da0fa65ab60e · inbound

Enhancing anomaly detection with topology-aware autoencoders cites this paper.

Enhancing anomaly detection with topology-aware autoencoders Anomaly detection with Convolutional Graph Neural Networks

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T19:19:24.505670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:19:24.505670Z digest=sha256:275b63b4197d44c163253057292f45c3b7117428f4d587217184daa7e8c73e93

Observation 9c22f379-2777-49b2-a3c0-5829fd42ecab · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Anomaly detection with Convolutional Graph Neural Networks

Reference 141

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:38:52.972144Z

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=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:10d73498d0c84955931909dcd7743f7bce4fef918b0abd9dd65937d00a04b75f

Observation 328f57fc-5572-47f8-aea4-b7a4dcf361bd · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo Anomaly detection with Convolutional Graph Neural Networks

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-15T14:39:57.002945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:39:57.002945Z digest=sha256:d96978266f0da6d2db58ad6f941111bcc12f8bacbe2d74b256c0e51c25dd9fe5