Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection | Paper Citation Record

Observation 57ce27c4-fc51-4cdf-a1b4-3a231d1579d2 · outbound

This paper cites Our-normal-skin, 2023.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Our-normal-skin, 2023

Reference 1

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Observation ccf74a9f-fb88-4600-b263-978acb0de76e · outbound

This paper cites Skip-ganomaly: Skip connected and adversarially trained encoder-decoder anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Skip-ganomaly: Skip connected and adversarially trained encoder-decoder anomaly detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.447018Z

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Observation 506b8c58-d8af-4b7f-b51e-a485b1f324bb · outbound

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

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Anomalib: A deep learning library for anomaly detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.429810Z

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Observation 3a56f803-4fbf-47ca-b4a3-c3b235af0c1a · outbound

This paper cites Pni: Indus- trial anomaly detection using position and neighborhood in- formation.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Pni: Indus- trial anomaly detection using position and neighborhood in- formation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.412543Z

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Observation b703ccc0-540d-4821-bcbc-bb678b024797 · outbound

This paper cites Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.396893Z

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Observation 8860563e-6318-45a3-b65f-27a3ca78c1e6 · outbound

This paper cites Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings

Reference 6

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Observation d5995b1d-5ca2-4e05-b58f-2a2f4d7ef58c · outbound

This paper cites Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-12T15:32:14.389096Z

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Observation 7db936e6-12c9-4077-9530-0b14be7fc80f · outbound

This paper cites Anomaly de- tection under distribution shift.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Anomaly de- tection under distribution shift

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.370367Z

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Observation 41751ebe-55c1-4ca4-9c72-f7f89377c7e9 · outbound

This paper cites Deep one-class classification via interpolated gaussian descriptor.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Deep one-class classification via interpolated gaussian descriptor

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.355156Z

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Observation 9c7b9e2c-d7f1-43a0-addc-4207db385f8e · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:13.950678Z

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Observation eb585ffa-6707-4343-8912-99a49b3df2c7 · outbound

This paper cites Dataset for covid-19 segmen- tation and severity scoring.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Dataset for covid-19 segmen- tation and severity scoring

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.338573Z

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Observation 1ac342c8-d512-4752-9c8b-4cf118ddde52 · outbound

This paper cites Anomaly detection via reverse distillation from one-class embedding.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Anomaly detection via reverse distillation from one-class embedding

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.322548Z

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Observation eaf5a236-97ab-44ff-8172-a856982eddd2 · outbound

This paper cites Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

Reference 13

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Observation 6bc38190-11d7-4208-b8d7-c3bfb0e13d16 · outbound

This paper cites Di- abetic retinopathy detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Di- abetic retinopathy detection

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.305578Z

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Observation bb4676a3-c82a-4346-b760-a43f74b4decb · outbound

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

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.287335Z

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Observation 60a5413c-3f92-4ed8-a455-cf4b56feea09 · outbound

This paper cites Drocc: Deep robust one- class classification.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Drocc: Deep robust one- class classification

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.269095Z

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Observation b7e344c2-bd2e-487a-89ae-af8bb9361b3d · outbound

This paper cites Remembering normality: Memory- guided knowledge distillation for unsupervised anomaly de- tection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Remembering normality: Memory- guided knowledge distillation for unsupervised anomaly de- tection

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.250368Z

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Observation 6077f1f5-b2e6-4899-9a88-42045f6f68d1 · outbound

This paper cites Cflow-ad: Real-time unsupervised anomaly detection with localization via conditional normalizing flows.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Cflow-ad: Real-time unsupervised anomaly detection with localization via conditional normalizing flows

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.232543Z

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Observation f0a45c61-fa23-4a4d-bec0-e8c4c4a4c65b · outbound

This paper cites Adbench: Anomaly detection benchmark.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Adbench: Anomaly detection benchmark

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.214481Z

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Observation 817bdb44-d3d4-4813-b703-8f47e68534f6 · outbound

This paper cites The meaning and use of the area under a receiver operating characteristic (roc) curve.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection The meaning and use of the area under a receiver operating characteristic (roc) curve

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.197716Z

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Observation c7cfc94d-c3fe-4dba-ac35-8122625a259c · outbound

This paper cites A diffusion-based framework for multi-class anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection A diffusion-based framework for multi-class anomaly detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.181103Z

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Observation 9bd36b9e-f56d-4f75-98c5-9d7e30ef7b81 · outbound

This paper cites Benchmarking neu- ral network robustness to common corruptions and perturba- tions.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Benchmarking neu- ral network robustness to common corruptions and perturba- tions

Reference 22

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Observation f9278cf9-86ca-432f-ad3e-3ac6150a87e7 · outbound

This paper cites Divide-and-assemble: Learning 9 block-wise memory for unsupervised anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Divide-and-assemble: Learning 9 block-wise memory for unsupervised anomaly detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.151297Z

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Observation f975abc3-9253-4dd0-b402-132bee507425 · outbound

This paper cites Mmad: The first-ever comprehensive benchmark for mul- timodal large language models in industrial anomaly detec- tion.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Mmad: The first-ever comprehensive benchmark for mul- timodal large language models in industrial anomaly detec- tion

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.134109Z

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Observation 39bd0412-1f0c-4411-af8d-007410f0d641 · outbound

This paper cites A new measure of rank correlation.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection A new measure of rank correlation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.115818Z

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Observation cbf37d9e-86e2-42cb-9480-6ce13393a3f6 · outbound

This paper cites Novel dataset for fine-grained image categorization.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Novel dataset for fine-grained image categorization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.097184Z

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Observation 95831785-3c98-4f19-8ec2-ed7b3db1a9d6 · outbound

This paper cites Pyramid- flow: High-resolution defect contrastive localization using pyramid normalizing flow.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Pyramid- flow: High-resolution defect contrastive localization using pyramid normalizing flow

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.079922Z

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Observation 490e6532-2b2c-429f-a03c-da7693115b50 · outbound

This paper cites Cutpaste: Self-supervised learning for anomaly de- tection and localization.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Cutpaste: Self-supervised learning for anomaly de- tection and localization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.065838Z

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Observation 5cd48758-7e3f-44dd-8e26-9c6f43b98f0d · outbound

This paper cites Promptad: Learn- ing prompts with only normal samples for few-shot anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Promptad: Learn- ing prompts with only normal samples for few-shot anomaly detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.049419Z

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Observation dc274bb0-fda3-4f33-ae03-becff8c6bb63 · outbound

This paper cites Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-12T15:32:14.333896Z

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Observation 206a37ad-ee49-4c1a-a976-e0149c4efe38 · outbound

This paper cites Omni-frequency channel- selection representations for unsupervised anomaly detec- tion.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Omni-frequency channel- selection representations for unsupervised anomaly detec- tion

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:15.033816Z

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Observation 3e15ac47-9512-4251-ad47-4f84da9f4727 · outbound

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

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Simplenet: A simple network for image anomaly detection and localization

Reference 32

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Observation 772e1044-a254-4586-9b05-66a3092befea · outbound

This paper cites Hierarchical vector quantized transformer for multi-class unsupervised anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Hierarchical vector quantized transformer for multi-class unsupervised anomaly detection

Reference 33

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Observation 6c6be44a-7f9c-4e9f-a79f-28cbb142d6d6 · outbound

This paper cites Fake it until you make it: Towards accurate near-distribution novelty detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Fake it until you make it: Towards accurate near-distribution novelty detection

Reference 34

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Observation 64f46978-6532-4fbc-accc-2d8711846966 · outbound

This paper cites Automated flower classification over a large number of classes.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Automated flower classification over a large number of classes

Reference 35

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Observation 4728d06b-0aef-4b10-94c0-575ef1daad0e · outbound

This paper cites Learning memory-guided normality for anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Learning memory-guided normality for anomaly detection

Reference 36

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Observation 49d425fa-facb-4aae-8597-4dd6c847973f · outbound

This paper cites an unresolved cited work.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Unresolved cited work

Reference 37

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Observation ced4f157-421f-49b1-a9b8-66b4883829a3 · outbound

This paper cites G2d: Generate to detect anomaly.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection G2d: Generate to detect anomaly

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.919930Z

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Observation dc702c68-7f41-4335-9105-82958ec32a30 · outbound

This paper cites Towards to- tal recall in industrial anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Towards to- tal recall in industrial anomaly detection

Reference 39

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Observation e2699d4b-e67a-4505-9064-3e73936649ed · outbound

This paper cites Deep one-class classifica- tion.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Deep one-class classifica- tion

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1fececfa-07f3-4951-abcd-c4001c364c4e · outbound

This paper cites Deep end-to-end one-class classifier.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Deep end-to-end one-class classifier

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.866490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ae64c686-c915-4b97-8159-b2cbf037f751 · outbound

This paper cites Multiresolution knowledge distillation for anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Multiresolution knowledge distillation for anomaly detection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.851304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f61e9345-8d6c-4edb-baa0-e690e4667e0a · outbound

This paper cites f-anogan: Fast unsupervised anomaly detection with generative adversarial networks.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection f-anogan: Fast unsupervised anomaly detection with generative adversarial networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.836111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a9ebcba-d11f-4569-92d5-fd3d7f18b20f · outbound

This paper cites Natural synthetic anomalies for self-supervised anomaly detection and localization.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Natural synthetic anomalies for self-supervised anomaly detection and localization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:14.113458Z

Source-reported events for the cited work

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Observation e62225b3-5d5e-46e3-bcf9-9112bf63f8d0 · outbound

This paper cites Estimating the sup- port of a high-dimensional distribution.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Estimating the sup- port of a high-dimensional distribution

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.810137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2c68da0-cb92-498e-896c-e8581d559950 · outbound

This paper cites Anomaly detection using score-based per- turbation resilience.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Anomaly detection using score-based per- turbation resilience

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.794021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 23ea94bb-f758-4447-8618-1091166182d9 · outbound

This paper cites Anomaly detection in medical imaging with deep perceptual autoencoders.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Anomaly detection in medical imaging with deep perceptual autoencoders

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.778237Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e16c9d6b-d56e-40b0-99a5-f3c3396bc69b · outbound

This paper cites Support vector data description.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Support vector data description

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.762763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 91854304-8a3c-4a57-82ba-e3e50fdccaf3 · outbound

This paper cites Revisiting reverse distillation for anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Revisiting reverse distillation for anomaly detection

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.747131Z

Source-reported events for the cited work

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Observation 89658f96-6228-42da-af77-1126ba5a3bb3 · outbound

This paper cites The ham10000 dataset, a large collection of multi-source der- matoscopic images of common pigmented skin lesions.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection The ham10000 dataset, a large collection of multi-source der- matoscopic images of common pigmented skin lesions

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.730797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 93f1c1d3-aa95-46cb-91b9-253cabf43019 · outbound

This paper cites On the c-statistics for eval- uating overall adequacy of risk prediction procedures with censored survival data.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection On the c-statistics for eval- uating overall adequacy of risk prediction procedures with censored survival data

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.713157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05b481ad-2f92-4bdd-b7ad-56864411fed7 · outbound

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

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Real-iad: A real-world multi-view dataset for benchmarking versatile industrial anomaly detec- tion

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.696282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5b7d2a69-4cdd-48bb-a021-5791cb03d980 · outbound

This paper cites Student-Teacher Feature Pyramid Matching for Anomaly Detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Student-Teacher Feature Pyramid Matching for Anomaly Detection

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:14.154430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68365cb4-22fc-4b6d-b30e-52f47311622d · outbound

This paper cites Caltech-ucsd birds 200.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Caltech-ucsd birds 200

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.680551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e08a4e36-00dc-4a8b-95b8-4870aa5d405c · outbound

This paper cites A deep one-class neural network for anomalous event detection in complex scenes.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection A deep one-class neural network for anomalous event detection in complex scenes

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.665516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 40793be2-74a0-48ba-986c-5f169dc30c99 · outbound

This paper cites Im-iad: Indus- trial image anomaly detection benchmark in manufacturing.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Im-iad: Indus- trial image anomaly detection benchmark in manufacturing

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.650928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 833f2297-c90e-49dd-ba3c-b7f09f764c7a · outbound

This paper cites Learning semantic context from nor- mal samples for unsupervised anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Learning semantic context from nor- mal samples for unsupervised anomaly detection

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.635357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f9fe8844-535a-40d7-aa5c-7b1a6bee47b3 · outbound

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

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Patch svdd: Patch-level svdd for anomaly detection and segmentation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.619935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c7e3b517-9440-42e1-9f3e-ebcc192eefbd · outbound

This paper cites A unified model for multi-class anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection A unified model for multi-class anomaly detection

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:14.182219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea19c2b-1e68-4bf7-814f-ee8b8cfe52d7 · outbound

This paper cites Old is gold: Redefining the adversarially learned one-class classifier training paradigm.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Old is gold: Redefining the adversarially learned one-class classifier training paradigm

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.592801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f5572459-0c4c-4b6d-adcb-0a428ce6dbc8 · outbound

This paper cites Spearman rank correlation.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Spearman rank correlation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:14.191728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c3305f2-855a-4f74-98ec-73beade7f646 · outbound

This paper cites Draem- a discriminatively trained reconstruction embedding for sur- face anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Draem- a discriminatively trained reconstruction embedding for sur- face anomaly detection

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.565529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 37a4d817-fb81-4d07-af99-7f88aa57894d · outbound

This paper cites Recon- struction by inpainting for visual anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Recon- struction by inpainting for visual anomaly detection

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.549927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 59dd4f6a-f154-4e0f-89ae-44425a5c492e · outbound

This paper cites Dsr– a dual subspace re-projection network for surface anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Dsr– a dual subspace re-projection network for surface anomaly detection

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.533274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ce233d42-7c87-4af4-a073-6242c8a5e566 · outbound

This paper cites A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection.

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.

Observation 8df769c8-ecbd-4d6e-9ee3-e0df35fe09d1 · outbound

This paper cites Destseg: Segmentation guided denoising student-teacher for anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Destseg: Segmentation guided denoising student-teacher for anomaly detection

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T15:32:14.215390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 598904c5-3e5c-414f-97ce-7a40aad200e5 · outbound

This paper cites Realnet: A feature selection network with realistic synthetic anomaly for anomaly detection.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Realnet: A feature selection network with realistic synthetic anomaly for anomaly detection

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.506210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10a6d91a-2e75-4901-8b11-bdc15f7aeb1c · outbound

This paper cites Toward generalist anomaly detection via in-context residual learning with few-shot sam- ple prompts.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Toward generalist anomaly detection via in-context residual learning with few-shot sam- ple prompts

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.490010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4f631410-a52a-48e3-8f9e-ca3d9a825b05 · outbound

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

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Spot-the-difference self-supervised pre- training for anomaly detection and segmentation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.472276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb86d804-e639-4a41-a2b5-f1fabc2a2b6a · outbound

This paper cites an unresolved cited work.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:32:14.455063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 987380da-9dd9-4728-a1eb-507ed122d689 · outbound

This paper cites The pair is discordant if it is in the reverse ordering for severity levels and anomaly score, or the values are arranged in opposite directions.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection The pair is discordant if it is in the reverse ordering for severity levels and anomaly score, or the values are arranged in opposite directions

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:32:14.439499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ece6bc70-8b05-4ce3-8f9f-cfaa5c14f07d · outbound

This paper cites an unresolved cited work.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:32:14.422764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 91f3d8b8-fd6e-46c1-b149-f850421460d7 · outbound

This paper cites The two observations are tied if the severity level of sample xi is equal that of xj and/or the anomaly score of sample xi is equal that of xj.

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection The two observations are tied if the severity level of sample xi is equal that of xj and/or the anomaly score of sample xi is equal that of xj

Reference 73

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T15:32:14.405494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Outbound references

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