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Paper Citation Record · LEDGER

A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.03262.

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

pith.paper-citation-record.v1
2406.03262 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:03:10.160377Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.640021Z

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 98d5f716-5aa6-48c8-8cb6-96ece32bd836 · inbound

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning cites this paper.

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:10.160377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:03:10.160377Z digest=sha256:2761f08ca34daf0d7d4be2dd47df788685d1220cad8983991b954a2a53e74b4b

Observation bf4b6810-ac4b-4a15-8f39-0c71858e8946 · 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 A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T17:27:17.690375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:27:17.690375Z digest=sha256:21e991e2b495b0aaa8cced5417012b1a39a450a27bd9ca709f5435e8790ab1c9

Observation b45fcf4b-96d8-45ff-aeb4-f6812680cb62 · inbound

Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts cites this paper.

Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-06T15:06:24.729744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:06:24.729744Z digest=sha256:6fbebd4b32ae7e77471cd9f2357ea339d315f44a9a135454dba50052f9ff5707

Observation 85fd81fe-c5c7-410f-80d6-35b5953fc849 · inbound

Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions cites this paper.

Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T05:05:25.427365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:05:25.427365Z digest=sha256:03c53dc8e8b022d58b28af01e7a9d87d7d2f9611c67fefee49fcb887f421398c

Observation 6d2b736d-3e84-404f-b52d-73472ba5ef84 · inbound

AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization cites this paper.

AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T00:53:26.441751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:53:26.441751Z digest=sha256:ce28a44428963394bc182f3069a070666bf0062881a1c970370e5ffcc62af0c0

Observation c691abc6-f6fe-482e-88e7-0c8d9e7cd901 · inbound

ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection cites this paper.

ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-18T09:16:09.823525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T09:14:12.130160Z digest=sha256:863274bf772614db80964329d5714ed40d6fb5658c825bd75e55c913aa6dc50b

Observation b01882c5-c519-48f9-a00c-343d1cf5ab64 · inbound

AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison cites this paper.

AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:55:33.385341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T11:54:18.587529Z digest=sha256:de08b533112dd66415f26f926c06b25f177a6844fcab2e2a315fb2dcf14a0368

Observation 4055fd18-c7d0-42f0-b4e5-a865ee0d52ad · inbound

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection cites this paper.

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:49:44.641479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T09:26:51.456652Z digest=sha256:fd17dfcc26a43d37ab6d052c2e8d238a424c6be538f8511d2b37de118666db34

Observation 7c89c6d2-3ad2-4a7b-bf7d-5b22723fadde · inbound

SwinAD: Multi-stage feature reconstruction for unsupervised industrial anomaly detection cites this paper.

SwinAD: Multi-stage feature reconstruction for unsupervised industrial anomaly detection A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T01:53:17.968869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:53:17.968869Z digest=sha256:154d2d7cc34da1843448351431c8b1ac63cd5825cb62f1689ae9bb404ac0a5c7