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Paper Citation Record · LEDGER

Towards High-Resolution Industrial Image Anomaly Detection

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.12931.

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

pith.paper-citation-record.v1
2508.12931 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:17:29.629390Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:54:40.308769Z

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 570c79bd-b718-4cf1-8867-38c29f957c70 · inbound

UniADC: A Unified Framework for Anomaly Detection and Classification cites this paper.

UniADC: A Unified Framework for Anomaly Detection and Classification Towards High-Resolution Industrial Image Anomaly Detection

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T23:17:29.629390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:17:29.629390Z digest=sha256:12d9c4019246681ce348750416f733aa272e98d6fec703040b854324aad8baf3

Observation 906ddda9-cd96-43cb-9547-c7c5679ac8bc · inbound

LogiCo: A Unified Framework for Logical and Structural Anomaly Detection cites this paper.

LogiCo: A Unified Framework for Logical and Structural Anomaly Detection Towards High-Resolution Industrial Image Anomaly Detection

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:54:40.310003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:05:09.329599Z digest=sha256:f841768899bdee247cb61f3394cdcaba6543a9e79e09469dd1c6ae262e9db2a2