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Paper Citation Record · LEDGER

Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.12580.

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

pith.paper-citation-record.v1
2403.12580 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:27:39.684099Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:58:34.318884Z

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 2509434f-2b18-4809-a11b-7dd119e3c878 · inbound

Anomaly Detection for Industrial Applications, Its Challenges, Solutions, and Future Directions: A Review cites this paper.

Anomaly Detection for Industrial Applications, Its Challenges, Solutions, and Future Directions: A Review Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection

Reference 123

Resolution
unresolved
no resolver link, observed 2026-08-10T18:27:39.684099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:27:39.684099Z digest=sha256:417f77a8f2c1b9eb214d8f3ba1486255cda74304d22a2af0a89859085bd36f18

Observation a0bda884-6dbc-41b1-982b-18f8376b6dbd · inbound

MoViAD: A Modular Library for Visual Anomaly Detection cites this paper.

MoViAD: A Modular Library for Visual Anomaly Detection Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:58:34.479832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T16:58:31.510134Z digest=sha256:24543cfc7ab7b03a815039a2d05403715f6c9ec6ea95a134eaf365a9163f59f0