Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities | Paper Citation Record

Observation 57413d5b-54a2-4960-9dda-10b7e78fc5cc · outbound

This paper cites Kohli and K.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Kohli and K

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:04.080710Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d6e61c38-edec-4c90-ab44-f1291b01432e · outbound

This paper cites Synthetically gen- erated images for industrial anomaly detection,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Synthetically gen- erated images for industrial anomaly detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:04.071174Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 93c46796-933b-4234-92a9-914983ac000c · outbound

This paper cites Bosnar, Procedural Modeling and Image Synthesis for Virtual Surface Inspection Planning.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Bosnar, Procedural Modeling and Image Synthesis for Virtual Surface Inspection Planning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:04.060240Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e041aff3-1167-4985-8f13-c612c99d4e82 · outbound

This paper cites Towards total recall in industrial anomaly detection,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Towards total recall in industrial anomaly detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:04.050404Z

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Observation 36703682-2b2f-4b17-b1f8-020a1c4ac090 · outbound

This paper cites Simulation of microstructures and machine learning,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Simulation of microstructures and machine learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:04.041458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 929ca52e-c1aa-4a5c-ab5a-b2a2a447d0ea · outbound

This paper cites Assessment of the effect of cleanliness on the visual inspection of aircraft engine blades: An eye tracking study,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Assessment of the effect of cleanliness on the visual inspection of aircraft engine blades: An eye tracking study,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:04.031238Z

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Observation e1d0d23b-532e-40f9-a826-48125c007341 · outbound

This paper cites Visual inspection of the aircraft surface using a teleoperated reconfigurable climbing robot and enhanced deep learning technique,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Visual inspection of the aircraft surface using a teleoperated reconfigurable climbing robot and enhanced deep learning technique,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:04.021174Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f8aa747d-7366-4a04-a43d-00e4e9091f45 · outbound

This paper cites Visual inspection of surface sanitation: Defining the conditions that enhance the human threshold for detection of food residues,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Visual inspection of surface sanitation: Defining the conditions that enhance the human threshold for detection of food residues,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:04.011068Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 835110f4-b500-4a6d-ac0c-69c2d344a9e3 · outbound

This paper cites Defect-gan: High-fidelity defect synthesis for automated defect inspection,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Defect-gan: High-fidelity defect synthesis for automated defect inspection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:04.001269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6cc2f54-a52e-409d-a309-1759194e3ae5 · outbound

This paper cites Dg-gan: A high quality defect image generation method for defect detection,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Dg-gan: A high quality defect image generation method for defect detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.990589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa608a04-36d6-40d4-909f-e81123bfa950 · outbound

This paper cites Diversified and multi-class controllable industrial defect synthesis for data augmentation and transfer,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Diversified and multi-class controllable industrial defect synthesis for data augmentation and transfer,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.980820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf48334b-1d27-40d9-ab01-b8c432acc1b1 · outbound

This paper cites Cut: A controllable, universal, and training-free visual anomaly generation framework,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Cut: A controllable, universal, and training-free visual anomaly generation framework,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.972141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6dcac50b-c8cc-4d92-b660-3f16d1643308 · outbound

This paper cites Synthetic data for defect segmentation on complex metal surfaces,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Synthetic data for defect segmentation on complex metal surfaces,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.962096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a2299c36-892c-4e0f-bb49-b79e8c2369f5 · outbound

This paper cites Cad2render: A modular toolkit for gpu-accelerated photorealistic synthetic data generation for the manufacturing industry,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Cad2render: A modular toolkit for gpu-accelerated photorealistic synthetic data generation for the manufacturing industry,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.952158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7cc94d34-827b-4e21-94ed-b37bcf465f5c · outbound

This paper cites Image synthesis pipeline for surface inspection,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Image synthesis pipeline for surface inspection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.942273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eff210bd-925b-47dd-82f2-04ac5a7675c7 · outbound

This paper cites Towards sim-to-real industrial parts classification with syn- thetic dataset,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Towards sim-to-real industrial parts classification with syn- thetic dataset,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.932219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6cd7a921-e572-4ef5-8c39-c5f87c690eab · outbound

This paper cites Imperfection for realistic image synthesis,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Imperfection for realistic image synthesis,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.921847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9993bf7-21a9-4c44-a40e-82db218abdc0 · outbound

This paper cites Rusting and corroding simulation taking into account chemical reaction processes,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Rusting and corroding simulation taking into account chemical reaction processes,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.912092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dce611c8-a8eb-47d3-bd06-4cfea38cf849 · outbound

This paper cites Simulation of textile stains,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Simulation of textile stains,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.901960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b7fa18d1-957b-44cb-963f-4348af33ff6d · outbound

This paper cites Image synthesizer.,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Image synthesizer.,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.892589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef75d432-e0d3-4efd-9b6b-d8a6f2515425 · outbound

This paper cites A geometry dependent texture generation framework for simulating surface imperfections,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities A geometry dependent texture generation framework for simulating surface imperfections,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.882508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 873d0e2d-0f68-46da-9af6-a1899787f822 · outbound

This paper cites Rendering imperfections: Dust, scratches, aging,...,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Rendering imperfections: Dust, scratches, aging,...,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.872848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6f73a0fa-e954-495a-b43a-4f3bf5f9a204 · outbound

This paper cites Realistic image synthesis of surface scratches and grooves,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Realistic image synthesis of surface scratches and grooves,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.863979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3b8313b3-4458-48aa-af98-3b5865409e30 · outbound

This paper cites Example based procedural distribution tool,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Example based procedural distribution tool,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.853903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ff20cfd0-01d3-4408-aa1f-98c272dc4025 · outbound

This paper cites Procedural defect modeling for virtual surface inspection environments,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Procedural defect modeling for virtual surface inspection environments,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.843787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation acff9dbe-76e9-464f-ac54-bb6156955cab · outbound

This paper cites Steel surface defect recognition: A survey,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Steel surface defect recognition: A survey,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.833140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9926905f-4322-4aab-bdb9-a3c78e545b95 · outbound

This paper cites Surface defect detection methods for industrial products: A review,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Surface defect detection methods for industrial products: A review,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.821885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 375cbf9f-f90c-4370-92b9-f32706b28337 · outbound

This paper cites A review on modern defect detection models using dcnns – deep convolutional neural net- works,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities A review on modern defect detection models using dcnns – deep convolutional neural net- works,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.811906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ec8772b-f7a7-48e2-bb89-eb3d627e4261 · outbound

This paper cites Deep industrial image anomaly detection: A survey,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Deep industrial image anomaly detection: A survey,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.801591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c3c96980-5965-40fd-90d5-55119ff96e0e · outbound

This paper cites Dream: Efficient dataset distillation by representative matching,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Dream: Efficient dataset distillation by representative matching,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.791203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e55d61c2-f362-4e6b-881a-bb144d9a9c54 · outbound

This paper cites Patch svdd: Patch-level svdd for anomaly detection and segmentation,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Patch svdd: Patch-level svdd for anomaly detection and segmentation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.780064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d9a87c21-260e-49ce-8f4d-51376ec56060 · outbound

This paper cites Deep learning for unsupervised anomaly localization in industrial images: A survey,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Deep learning for unsupervised anomaly localization in industrial images: A survey,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T19:57:03.358728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab8c0c92-cec1-49c1-b8e6-6881cf958624 · outbound

This paper cites Sub-Image Anomaly Detection with Deep Pyramid Correspondences.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T19:57:03.361981Z

Source-reported events for the cited work

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Observation 20478d29-15bc-48ca-9d34-3f1944e9ac36 · outbound

This paper cites PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T19:57:03.365367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fafc32c3-9d29-4f5f-8f9b-1a8c1a12db8b · outbound

This paper cites Memorizing normality to detect anomaly: Memory- augmented deep autoencoder for unsupervised anomaly detection,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Memorizing normality to detect anomaly: Memory- augmented deep autoencoder for unsupervised anomaly detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.764140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5111c79c-289b-46da-a191-645687410bbc · outbound

This paper cites Prototypical residual networks for anomaly detection and localization,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Prototypical residual networks for anomaly detection and localization,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.754768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4076fd56-848f-4768-b374-989f215de618 · outbound

This paper cites Simplenet: A simple network for image anomaly detection and localization,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Simplenet: A simple network for image anomaly detection and localization,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.745133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c55feeaa-653f-489f-a97b-54e9a03f06fa · outbound

This paper cites Divide- and-assemble: Learning block-wise memory for unsupervised anomaly detection,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Divide- and-assemble: Learning block-wise memory for unsupervised anomaly detection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.735150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4580d322-303e-404e-8819-588ac186ab4d · outbound

This paper cites Small-GAN: Speeding up GAN training using core-sets,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Small-GAN: Speeding up GAN training using core-sets,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.723754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3f0c38a1-b68a-488c-9f08-ec6313beacf3 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Imagenet: A large-scale hierarchical image database,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T19:57:03.385694Z

Source-reported events for the cited work

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Observation 9aa01a17-b159-449e-a0f3-b20d5531c628 · outbound

This paper cites Industrial image anomaly localization based on gaussian clustering of pretrained feature,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Industrial image anomaly localization based on gaussian clustering of pretrained feature,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.707207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e2178601-e473-412e-8d06-5a2a3ba1569d · outbound

This paper cites Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:57:03.502348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45eabdb9-284e-4ddc-8e71-66873c8c3dd5 · outbound

This paper cites Towards continual adaptation in industrial anomaly detec- tion,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Towards continual adaptation in industrial anomaly detec- tion,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.696896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2c8e018e-ea95-4282-bbb9-ca46654f7fc8 · outbound

This paper cites Enhancing anomaly detection performance and acceleration,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Enhancing anomaly detection performance and acceleration,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.687527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca131823-d913-4457-adb7-46c74f05e2fe · outbound

This paper cites Target before shooting: Accurate anomaly detection and localization under one mil- lisecond via cascade patch retrieval,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Target before shooting: Accurate anomaly detection and localization under one mil- lisecond via cascade patch retrieval,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.677579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 88d19d5f-b1e5-4cc4-9a75-f70e96dce945 · outbound

This paper cites Fapm: Fast adaptive patch memory for real-time industrial anomaly detection,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Fapm: Fast adaptive patch memory for real-time industrial anomaly detection,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.667121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 695c18e3-a59a-4fd7-81a2-5ab0122b027c · outbound

This paper cites Prior normality prompt transformer for multi-class industrial image anomaly detection,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Prior normality prompt transformer for multi-class industrial image anomaly detection,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.657237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29f04a80-bae5-4893-aff2-f68dcef63a48 · outbound

This paper cites Efficient textile anomaly detection via memory guided distillation network,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Efficient textile anomaly detection via memory guided distillation network,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.647270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b8803cc3-55b8-4080-80f4-8a9d45f37272 · outbound

This paper cites Anomalydino: Boosting patch-based few-shot anomaly detection with dinov2,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Anomalydino: Boosting patch-based few-shot anomaly detection with dinov2,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.637615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29794e50-f56f-4e69-939c-32aa195f8b9e · outbound

This paper cites Pushing the limits of fewshot anomaly detection in industry vision: Graphcore,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Pushing the limits of fewshot anomaly detection in industry vision: Graphcore,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.625681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef24db58-9ad9-4906-ada7-2852f93a4580 · outbound

This paper cites Cfa: Coupled-hypersphere-based fea- ture adaptation for target-oriented anomaly localization,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Cfa: Coupled-hypersphere-based fea- ture adaptation for target-oriented anomaly localization,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.614285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 128ad696-e694-45b5-8d3c-aec5af027e3e · outbound

This paper cites an unresolved cited work.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-10T19:57:03.604067Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e9782a8-8d08-476d-a455-c2ff95d1395c · outbound

This paper cites Labelme: Image polygonal annotation with Python.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Labelme: Image polygonal annotation with Python

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.593395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 57f8e1e6-5e77-460e-a442-947ee499f17e · outbound

This paper cites Texture synthesis for surface inspection,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Texture synthesis for surface inspection,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.583044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dd065a12-23b2-4188-b192-228b417a1001 · outbound

This paper cites Anomalib: A deep learning library for anomaly detection,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Anomalib: A deep learning library for anomaly detection,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.572208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7eb12382-79f6-4e66-ba49-be5a02e89d12 · outbound

This paper cites Searching for mobilenetv3,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Searching for mobilenetv3,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T19:57:03.436970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd2975d4-a678-4818-bdb9-8f0c21644c34 · outbound

This paper cites Wide Residual Networks.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Wide Residual Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T19:57:03.440298Z

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Unavailable: canonical work link unavailable.

Observation bd095342-c3ce-4e76-b347-6f1a590d8e28 · outbound

This paper cites Deep residual learning for image recognition,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Deep residual learning for image recognition,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T19:57:03.443984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb2ad844-bccb-40f0-a566-461ed723c3ad · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities Very deep convolutional networks for large-scale image recognition,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T19:57:03.447354Z

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Unavailable: canonical work link unavailable.

Observation dfdce94d-3757-42b1-ab89-6935610fd8d6 · outbound

This paper cites A survey on unsupervised anomaly detection algorithms for industrial images,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities A survey on unsupervised anomaly detection algorithms for industrial images,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.543239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b1c1bb33-ffb7-4a4c-9288-449bb94540b6 · outbound

This paper cites A survey on federated learning systems: Vision, hype and reality for data privacy and protection,.

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities A survey on federated learning systems: Vision, hype and reality for data privacy and protection,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:57:03.533264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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