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Paper Citation Record · LEDGER

Set Features for Anomaly Detection

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.14773.

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

pith.paper-citation-record.v1
2311.14773 v4

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:56:37.315774Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:29:30.357571Z

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 be1e3841-7520-4caa-b4ed-a3fbc15a5a0c · inbound

SALAD -- Semantics-Aware Logical Anomaly Detection cites this paper.

SALAD -- Semantics-Aware Logical Anomaly Detection Set Features for Anomaly Detection

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T11:56:37.315774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:56:37.315774Z digest=sha256:855ae996c705bd82e06b42c058056af6a2038e5dcdc4991a8abfc1555cc219c1

Observation 14db53a5-ee59-4222-bbc0-ee2b731e1722 · inbound

UniSLAD: A Unified Framework for Structural and Logical Industrial Visual Anomaly Detection cites this paper.

UniSLAD: A Unified Framework for Structural and Logical Industrial Visual Anomaly Detection Set Features for Anomaly Detection

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:29:30.359867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T18:01:13.094726Z digest=sha256:df70ee5245c1e9211f827958e016ece2f5be9a9edaed4e25fec07eaf0ab250b5