Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.07857.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T22:20:53.378290Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T06:59:12.111188Z
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 d716825e-cc52-4ae5-9c82-111d27a3f677 · inbound
A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detection cites this paper.
A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detection Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T06:59:12.114373Z
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.
Observation d06a3bb7-aca1-4314-979f-63fa63883ab8 · inbound
Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes cites this paper.
Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:20:53.378290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb60ec2f-34a9-41b2-bdd1-85de68f0c1ec · inbound
Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems cites this paper.
Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T03:22:37.109556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.