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Paper Citation Record · LEDGER

Graph-based Anomaly Detection and Description: A Survey

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1404.4679.

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

pith.paper-citation-record.v1
1404.4679 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:21:09.330742Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T11:21:09.539375Z

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 fea53fcf-590a-4ae9-ba41-712d4ac3eed2 · inbound

On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach cites this paper.

On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach Graph-based Anomaly Detection and Description: A Survey

Reference 2014

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:21:09.544543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:21:09.330742Z digest=sha256:49ba1d706001ea085f668137681b198f6112da5d86e437411c28fc4737a840d8