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Paper Citation Record · LEDGER

Graph Anomaly Detection in Time Series: A Survey

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.00058.

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

pith.paper-citation-record.v1
2302.00058 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:37:43.654749Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:09:42.930611Z

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 7c560853-146f-445a-891c-06fdc573f55b · inbound

A Generalizable Anomaly Detection Method in Dynamic Graphs cites this paper.

A Generalizable Anomaly Detection Method in Dynamic Graphs Graph Anomaly Detection in Time Series: A Survey

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T10:37:43.654749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:37:43.654749Z digest=sha256:ec9121d0525221545eab434d904e97309c63272b258ab08293602d554c942b0a

Observation 93c14af1-f822-49a2-9fc5-4c106f04d56e · inbound

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark cites this paper.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Graph Anomaly Detection in Time Series: A Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T21:00:10.667970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:00:10.667970Z digest=sha256:6bb247cdbe6ef3850873a20213166eb602054ff471e3b27680c970fb7a168da9

Observation 75b21a34-5004-4ec7-9d51-a0bee6bc29d4 · inbound

HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection cites this paper.

HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection Graph Anomaly Detection in Time Series: A Survey

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:19.591846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:19.591846Z digest=sha256:a26d3819ed99626deec6be62d1d816e1a5115aaa843bbccb53a10377b36016d8

Observation 8e5f8b34-8eea-44b6-9319-a2c4c331dd0e · inbound

A method for detecting spatio-temporal correlation anomalies of WSN nodes based on topological information enhancement and time-frequency feature extraction cites this paper.

A method for detecting spatio-temporal correlation anomalies of WSN nodes based on topological information enhancement and time-frequency feature extraction Graph Anomaly Detection in Time Series: A Survey

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:10:56.638994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T13:09:22.668424Z digest=sha256:9b4eb6d9f8a0fc9022f3cd7783e10668a072f26144c54c2d4376156b3737bb59

Observation 6cd0a9a6-b5ce-405a-8fd6-43d39bde8839 · inbound

Foundation Models for Epileptogenic Zone Identification in Drug-Resistant Epilepsy cites this paper.

Foundation Models for Epileptogenic Zone Identification in Drug-Resistant Epilepsy Graph Anomaly Detection in Time Series: A Survey

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:09:42.932073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T10:32:06.520328Z digest=sha256:7f84e2072ba3045b95f4b213d86748b6a62c20927575ff28ff9486690c90e31c