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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.158355Z digest=sha256:0c7fb73c7b6fe111451c05a37ed717c12d6a21f40344f52db57cb085cdbb390a

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.162842Z digest=sha256:178bb1236e3f14427151c41bab159f4b2a7a979b7824fd06f4f440111f028b92

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.166512Z digest=sha256:d082b15920594a02487ae582f5323677e9a8e3a1e46b0f4040211489b5b81a08

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.169971Z digest=sha256:f617462aeceeea82b2a77ea6e8f7c9a48accb71f11145b4fdaec2e02349c6f71

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:03:13.173746Z digest=sha256:bfbbd8685587953487cb9b3ae6075651835dd4ec4b39ebbc9dc3d53421900999

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.177139Z digest=sha256:2da6a039d550f7683820f18f11d29c5114b5f77bbdf35dd7a658782b3f402aa6

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.180748Z digest=sha256:aa724dc65d1b73bc62fc4a18296a30b082d5db08def81c533fa1261c351fcae9

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.184182Z digest=sha256:d0fb397b469af1e06ca791f45cffa0f993421959ebe6693d84b1b47a0ec6664f

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.188558Z digest=sha256:43d45ce23a12e57847e8525c24ba16cda3015f0a5b5be6e4d94cb2df9928121f

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.191837Z digest=sha256:8706b7a582414c0528aa4c2d39108e82a81029f10c34a008c964fe86a340dd5d

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.195730Z digest=sha256:d59ea018941685572860a1097d7c51149e764cc1b46fb4278a469bd3bc3b56fc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:03:13.199294Z digest=sha256:a66e1db07050375732f697e945c8cbd89d817dad8426c42bc35dcc3c50dda2a7

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.203216Z digest=sha256:b6570f3cd4b27bc23303b46d43333922dabbac7a512068c015705ecf225cd5cb

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.207098Z digest=sha256:3cf90ae58593711a39da2a307c2a8e53e5e4995e392baa0319b78d706119de78

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:03:13.210968Z digest=sha256:f645528b0a30cf09375121360c0ec6896d50e7f4abb500e0eb1e7755400753b2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:03:13.215004Z digest=sha256:07b2b97298d354767c8a44f86245a844f2328cbe4066c5fa1ce18bc19fe840e1

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.219172Z digest=sha256:5780a9fd0aea265bac36392de14338218ad302f3ec780bf4a1bc1de19c173978

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.222566Z digest=sha256:9e3af4e0a256f086159ed299a492c544c947185d348036731e9d7d19d45a597b

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.226411Z digest=sha256:1cd0b571e091fde44fb3c51c518b4913dcf09b7ab731fb4403febbf4182969ef

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.229171Z digest=sha256:d119aac074b7660f645baa0f8a474cd3561847e062d837a889fd2cf858992281

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:03:13.232883Z digest=sha256:6644efe87e26ad13add61c392f60fba6caccbef50614363ed3544b4f878488ae

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.

source=pdf_text observed=2026-08-15T21:03:13.236245Z digest=sha256:e70ed71d370ddef934c3bf6f219fd973ec088b65e0e1f5e881047018714228af

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.239541Z digest=sha256:a23ca3e6138369ecdb9c0949ae57d694c615758b690cd85672d22b2e749c900e

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.242745Z digest=sha256:b12a9bca672118fa620ce63dbd7c9b5da1ff80a35ceb8fcaf54f6a6dff5a96d4

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.245719Z digest=sha256:b8b8dcbcf40e607b07e8454e6c6aa147801e147dc3370d5ea027d299b974e49a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.248899Z digest=sha256:19c804be3797a1e7aca5fcbbc6ae7040651afb17f67a817222490819a61ae73c

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.252408Z digest=sha256:3af25ce6d0edd065867847a245e72e1c889264a9745658301ad843a99acee02f

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.255925Z digest=sha256:307f0e888336b336786db32578ccb32a514546a1ec91543c8d44fc766eec3e5d

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.259345Z digest=sha256:ca83b807b793e079f36c7af88638985b38860d46f25f6252eaa388459c3bbbb8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.262584Z digest=sha256:33234599d218072f1933ae4e9a9c349d341466c24e1ceb1098263c2c0192bd6e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.265895Z digest=sha256:75fef20b1a559015c892068d890663b1e8f83eb5880b9a6c742bc777f50663fa

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:03:13.269273Z digest=sha256:4faf76be93cf20af348c22ea5916c145be905fb46afe79c3555d783926727bd1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.273345Z digest=sha256:f4bbe0a0f79de59046c2c4eeb69f16123a839a46660edb953a146f9bbfa6cce9

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.276917Z digest=sha256:860f123e90971bf5f1d3b95b8cf939233822b9bf799d4d2d57a44466aa526a6e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:03:13.280399Z digest=sha256:86835147ff2958617008eca1ed1c7c921d66ba39429628f50152cca18aaa00d9

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.283966Z digest=sha256:8559c4328433d901bc5449413b38559426f665468f8ecdc0e81eb9a7ff6db8d9

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.

source=pdf_text observed=2026-08-15T21:03:13.287548Z digest=sha256:6285e7c40eeb712c4f311c603f61abe07946b8dfd2c962f1b69493dd91b8e0ab

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.291330Z digest=sha256:65394da16a6461486db166709666fe3676d63239ea386edd49f5dce178c16ef9

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:03:13.294540Z digest=sha256:3447f900846b9bb9b377eb11b3a7fe4457e1af3aa13f8864ea8ac7db4f549842

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.

source=pdf_text observed=2026-08-06T17:21:38.074077Z digest=sha256:56afaadbe59dc26ab06054b983360934c23c9b2b84af0a5db0a0017c9baf112a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T00:32:33.173587Z digest=sha256:e64c9df506015359cd6e3677ac98a8082bcf3f21cc8e31234f02ad786daede13