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Paper Citation Record · LEDGER

UniGAD: Unifying Multi-level Graph Anomaly Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.06427.

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

pith.paper-citation-record.v1
2411.06427 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 2026-08-07T22:13:55.036451Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T22:13:55.569199Z

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 d5df95cd-d71b-4d99-a4f8-310b21da5fcf · inbound

AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection cites this paper.

AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection UniGAD: Unifying Multi-level Graph Anomaly Detection

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T22:13:55.574877Z

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=2026-08-07T22:13:55.036451Z digest=sha256:f6415dab29e1e486c13d982396ea68c8c85dafe72a49ad52c0961f9161db1c39

Observation 7e23773c-34c9-4efd-84b7-7f11da23b44a · inbound

Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud cites this paper.

Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud UniGAD: Unifying Multi-level Graph Anomaly Detection

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T10:15:37.553028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:15:37.553028Z digest=sha256:de19075450cc2f39c3db7ad88c8a8ffe4451ed80ea5ea7425bf8e12bc642d4ef