Pith. sign in

Paper Citation Record · LEDGER

Optimizing PatchCore for Few/many-shot Anomaly Detection

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.10792.

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

pith.paper-citation-record.v1
2307.10792 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:33:53.440953Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:03:26.694987Z

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 71e14ea4-40ff-4871-8a12-abe509f5b931 · inbound

Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection cites this paper.

Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection Optimizing PatchCore for Few/many-shot Anomaly Detection

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:03:26.698561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T20:58:49.560267Z digest=sha256:640b786b5ad318f79e7ef64e37f9ba6475d556d66b47fbf4fefabf4aa2c66cd3

Observation c4641163-c5fd-4d56-ad5d-1d70c5eda4df · inbound

FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection cites this paper.

FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection Optimizing PatchCore for Few/many-shot Anomaly Detection

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:53.440953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:53.440953Z digest=sha256:1d90c696ea7480f9663788f92befdde132e0307f1263229b5e98eb8d28bf8fac

Observation 06690642-33c9-4b31-a96d-bde04164d22e · inbound

Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection cites this paper.

Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection Optimizing PatchCore for Few/many-shot Anomaly Detection

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T17:27:16.942509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:27:16.942509Z digest=sha256:d2aced20390b0091ff3da63457b692234d8d6e4133aa3bfac2fa3cc2dcf7d808

Observation 072a18b2-ce0c-4098-8c96-dab2b05b94e5 · inbound

SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling cites this paper.

SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling Optimizing PatchCore for Few/many-shot Anomaly Detection

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T18:50:16.736925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T18:48:08.212050Z digest=sha256:12d9ecc74ee3d90384d23cfe234d199ed8cb53e7031728b8b6ccfc012e66be0f