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Paper Citation Record · LEDGER

A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:43:30.264604Z

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

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  • verified fuzzy0
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  • malformed identifier0
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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 ce233d42-7c87-4af4-a073-6242c8a5e566 · inbound

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection cites this paper.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-12T15:32:14.210299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:32:14.210299Z digest=sha256:e338435411590fee20a7e39baaa0117bdf0e7205f7a1f0aa4114b8b745d29f82

Observation 2f071fdf-853b-46b1-bc30-f20b6d143869 · inbound

ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift cites this paper.

ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T13:39:38.672384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:39:38.672384Z digest=sha256:6c3b1663fa15d029f95defcd2879ce5c5ff5b553b2cebcbd144dcf991e88e816

Observation bfd58dee-6f66-42bf-8953-4196281b4473 · inbound

Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection cites this paper.

Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T11:43:30.264604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:43:30.264604Z digest=sha256:0affd690213cffd493be7626ff6d34e99d0a3c0debf4e7440197ae40ed087feb

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:29.776093Z digest=sha256:373940c8f1e09d0c6672378d6326b860c5cafcb2a0aa53cfd010e1ff90cdba2a

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=sha256:9e8fea123041181f190cd6dc04dfb5682236bfc4eae9a83b725ef0351563535b

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=sha256:2f3938a6fa6ccada52af6ab171424624ddd042699cf790a972a222aa18a9c722

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=sha256:90ddf5ef0df2eb6f1aca1a1df4ab8f5eefff04ed1d453364264b207f86eb900b

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:a857706eeb729887898fe6cf5c291f5edadc801b463029b4ccb6335e1dd8d8f9

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=sha256:0cc197679857b4b6aacbf217b2d8628e5bce55e57f8f1ff91e5cbe35b653a13a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T09:14:12.130160Z digest=sha256:501a9a7772f28b704064849afe80f9a530df08401a7c626103e7d4f1f7363687

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T11:54:18.587529Z digest=sha256:8a14d34868adfa067ef48b9ea5c31e685b07b0d0e5f8886e84a9750754ae60a9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T09:26:51.456652Z digest=sha256:c0b46d0b61b7f8da4b61b774758250dbd2e287bee068059e9c505be9a63f579d

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=sha256:1df1ef060d8b2b9ff13dac00b43d50bc2d88fcdce46077036e8d339dc892afd6