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Paper Citation Record · LEDGER

Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.03492.

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

pith.paper-citation-record.v1
2306.03492 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:36:22.608954Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:15:18.037142Z

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 2f5f05dd-793c-42e3-8a5c-b112a259c6d9 · inbound

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection cites this paper.

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:15:18.042695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T02:12:34.253608Z digest=sha256:b82c2b1e442dccb2b37fb2ccaaf5d7b3e9187f404b7788f9e8c140d9e49d25d2

Observation 75e55391-68f7-44be-987a-e3f1d1fdd247 · inbound

Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection cites this paper.

Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T05:36:22.608954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:36:22.608954Z digest=sha256:184d42ff96f8e302283f20a8bc82b9049d7df75432bcb8e475f490529a2926d9

Observation 8d6cb2f5-992c-420b-aa90-0da3c5bbe429 · inbound

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection cites this paper.

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:10:41.377663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T18:51:03.538269Z digest=sha256:8c36fdb688d7c2e20f05c49b79cdbf2a3a722fa955d3d6b1dee6e4bbabda8592