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 10 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 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:29.776093Z

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 a4c03809-034c-4acc-b7c8-138713e2d927 · inbound

Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection cites this paper.

Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:29.776093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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.

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.

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.

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.

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.

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.

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.