Paper Citation Record · LEDGER

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2505.10996.

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

pith.paper-citation-record.v1
2505.10996 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:13.294540Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:21:38.074077Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:29:57.658090Z

Reference resolution

39 of 39 outbound references displayed

verified exact1
verified fuzzy29
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 631db53c-5a3b-4461-a2e2-c101907d3114 · outbound

This paper cites The MVTec anomaly detection dataset: A comprehensive real-world dataset for unsupervised anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark The MVTec anomaly detection dataset: A comprehensive real-world dataset for unsupervised anomaly detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.833402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a5a677d2-2ba5-4cb1-a74a-fe055223788f · outbound

This paper cites Spot-the-difference self-supervised pre-training for anomaly detection and segmentation.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Spot-the-difference self-supervised pre-training for anomaly detection and segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.823639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ae7778b1-557f-475c-b3a2-7c11e9dd9799 · outbound

This paper cites Real-iad: A real-world multi-view dataset for benchmarking versatile industrial anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Real-iad: A real-world multi-view dataset for benchmarking versatile industrial anomaly detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.813851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a037ec8-7610-49f9-a1f7-d535b15ebf22 · outbound

This paper cites Pad: A dataset and benchmark for pose-agnostic anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Pad: A dataset and benchmark for pose-agnostic anomaly detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.803932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 840c3c06-7252-49d4-af78-65bb782be910 · outbound

This paper cites The mvtec ad 2 dataset: Advanced scenarios for unsupervised anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark The mvtec ad 2 dataset: Advanced scenarios for unsupervised anomaly detection

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:13.173746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9edfa6ee-1e78-40f2-88fd-1ea99d922fe8 · outbound

This paper cites The eyecandies dataset for unsupervised multimodal anomaly detection and localization.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark The eyecandies dataset for unsupervised multimodal anomaly detection and localization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.793544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9303f1e0-30e9-4ce4-bd56-856452fb6347 · outbound

This paper cites Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly detection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.782395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7694a572-6cce-47dd-971e-e013dd27f308 · outbound

This paper cites Dinomaly: The less is more philosophy in multi-class unsupervised anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Dinomaly: The less is more philosophy in multi-class unsupervised anomaly detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.771981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64a6dc88-20e5-4bc6-a662-dfb094960cbf · outbound

This paper cites Mixed supervision for surface-defect detection: From weakly to fully supervised learning.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Mixed supervision for surface-defect detection: From weakly to fully supervised learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.762500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 79a6c04d-725f-4441-bbed-ef80c4ae3296 · outbound

This paper cites VT-ADL: A vision transformer network for image anomaly detection and localization.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark VT-ADL: A vision transformer network for image anomaly detection and localization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.753264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 700796b9-8217-4e59-a958-7e58ecd83d4b · outbound

This paper cites Surface defect saliency of magnetic tile.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Surface defect saliency of magnetic tile

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.743471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 93cdbac7-de47-4c34-a6ef-6e6eaea6fda7 · outbound

This paper cites The mvtec 3d-ad dataset for unsupervised 3d anomaly detection and localization.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark The mvtec 3d-ad dataset for unsupervised 3d anomaly detection and localization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:13.199294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c90cace5-f8df-4743-a7ce-09f1195ef7d1 · outbound

This paper cites Real3d- ad: A dataset of point cloud anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Real3d- ad: A dataset of point cloud anomaly detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.733900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c92607ec-300a-4a06-8b21-c3f4aec35699 · outbound

This paper cites Real-iad d3: A real-world 2d/pseudo-3d/3d dataset for industrial anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Real-iad d3: A real-world 2d/pseudo-3d/3d dataset for industrial anomaly detection

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.724502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c6faef9-580a-4422-a8d9-3de62eee31c6 · outbound

This paper cites RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:13.210968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c44d978-5790-4865-a33f-85bf8bdb35ba · outbound

This paper cites MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:13.215004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51ba418c-b2fe-4210-bce6-41fb23f4e91c · outbound

This paper cites Industrial anomaly detection with domain shift: A real-world dataset and masked multi-scale reconstruction.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Industrial anomaly detection with domain shift: A real-world dataset and masked multi-scale reconstruction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.715339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbcc1216-2893-432b-8384-9d7b39d05b7c · outbound

This paper cites IRON: inverse rendering by optimizing neural sdfs and materials from photometric images.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark IRON: inverse rendering by optimizing neural sdfs and materials from photometric images

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.706710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fefb279c-9555-4ec1-9e3e-c2c382825f69 · outbound

This paper cites Geo-neus: Geometry-consistent neural implicit surfaces learning for multi-view reconstruction.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Geo-neus: Geometry-consistent neural implicit surfaces learning for multi-view reconstruction

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.696796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1a4f282b-58ff-469f-bc59-6f1e165c62a9 · outbound

This paper cites Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:03:13.450514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 958ab10e-b8af-4194-b3b6-e7110777ba16 · outbound

This paper cites Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:13.232883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49bf0504-433b-40e9-bb48-c8f69c7afa2c · outbound

This paper cites Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:13.236245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0998f20-17c4-4863-8a53-ffd00034bc9a · outbound

This paper cites MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.685082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 163b06d7-2aa9-4dff-b7ed-ac2ec9e17fda · outbound

This paper cites Collaborative discrepancy optimization for reliable image anomaly localization.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Collaborative discrepancy optimization for reliable image anomaly localization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.673884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation df8d8a61-2dba-4f23-9f99-431fc1b19aa5 · outbound

This paper cites Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.663158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef769103-b445-4f83-8705-2c17d60e1dc8 · outbound

This paper cites A unified anomaly synthesis strategy with gradient ascent for industrial anomaly detection and localization.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark A unified anomaly synthesis strategy with gradient ascent for industrial anomaly detection and localization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.653158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e558e69-7569-41db-9580-87ca8a86964a · outbound

This paper cites Hierarchical gaussian mixture normalizing flow modeling for unified anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Hierarchical gaussian mixture normalizing flow modeling for unified anomaly detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.643249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 359f008f-acd0-46fb-8701-628ae07143c9 · outbound

This paper cites Towards Total Recall in Industrial Anomaly Detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Towards Total Recall in Industrial Anomaly Detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.632106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77b1a3b0-f6c5-473c-8a5a-df350d497d91 · outbound

This paper cites Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.621560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 706915a4-a134-4b94-91f8-55414674d5da · outbound

This paper cites Multimodal industrial anomaly detection via hybrid fusion.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Multimodal industrial anomaly detection via hybrid fusion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.609959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 910148a5-0bbb-46a0-80ed-4d4e200f549c · outbound

This paper cites Easynet: An easy network for 3d industrial anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Easynet: An easy network for 3d industrial anomaly detection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.597893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation da3830a8-4bc2-4f47-9968-d2d8679b5a57 · outbound

This paper cites Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:13.269273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 651c6289-bb41-45c7-b791-22f3b1d57612 · outbound

This paper cites Learning diffusion models for multi-view anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Learning diffusion models for multi-view anomaly detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.585848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e4011a4-3ac1-407d-af73-aabf63eb7a57 · outbound

This paper cites Attention fusion reverse distillation for multi-lighting image anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Attention fusion reverse distillation for multi-lighting image anomaly detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.575221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b435dcc2-5c32-43e3-94f4-06272960f8b1 · outbound

This paper cites Learning Multi-view Anomaly Detection with Efficient Adaptive Selection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Learning Multi-view Anomaly Detection with Efficient Adaptive Selection

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:13.280399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec45c4c8-1053-4a11-9113-9a49ebb2020a · outbound

This paper cites Splatpose & detect: Pose- agnostic 3d anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Splatpose & detect: Pose- agnostic 3d anomaly detection

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.564957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 012f8268-3208-4389-8cda-bc0b23597494 · outbound

This paper cites Revisiting reverse distillation for anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Revisiting reverse distillation for anomaly detection

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:13.287548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b95fba-251c-4ab8-9c3d-bda0516717db · outbound

This paper cites Msflow: Multiscale flow-based framework for unsupervised anomaly detection.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Msflow: Multiscale flow-based framework for unsupervised anomaly detection

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.556101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f1d344c8-3887-4f2e-a8aa-83870baffa0e · outbound

This paper cites Black Bird.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Black Bird

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:13.546367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation e127f203-e373-4f3c-8c7a-4285df16006d · inbound

A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects cites this paper.

A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:38.074077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 911ec903-1588-4f56-8b66-58385e9d55d0 · inbound

MATCH: Flow Matching for Multi-View Anomaly Detection cites this paper.

MATCH: Flow Matching for Multi-View Anomaly Detection Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:29:57.659729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.