Paper Citation Record · LEDGER

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.08949.

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

pith.paper-citation-record.v1
2412.08949 v4

Coverage vector

measured 38 of 38 reference resolution

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measured 38 of 38 standing notices

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 247851e3-b497-4b88-8088-0c2ddfdc2881 · outbound

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

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:09.020277Z

Source-reported events for the cited work

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Observation 755ddc61-7c14-45f5-ae51-8ffd02f1a7fb · outbound

This paper cites Be- yond dents and scratches: Logical constraints in unsupervised anomaly detection and localization,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Be- yond dents and scratches: Logical constraints in unsupervised anomaly detection and localization,

Reference 2

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Observation 4914c9be-9bf2-4ebf-8254-c504dc49ec66 · outbound

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

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Spot-the- difference self-supervised pre-training for anomaly detection and seg- mentation,

Reference 3

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Observation 89089dd8-efb1-4bea-952f-66a43d58f6fd · outbound

This paper cites The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 4

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Observation 476c7d99-1f14-47ef-a022-e2590dbd30ed · outbound

This paper cites Asymmetric student-teacher networks for industrial anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Asymmetric student-teacher networks for industrial anomaly detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.973199Z

Source-reported events for the cited work

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Observation 817d916c-703b-4110-8b09-837f8b628091 · outbound

This paper cites Mul- timodal industrial anomaly detection by crossmodal feature mapping,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Mul- timodal industrial anomaly detection by crossmodal feature mapping,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.954641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c1f21b7-3f5d-4578-af4b-3ed8eb666c07 · outbound

This paper cites Back to the feature: classical 3d features are (almost) all you need for 3d anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Back to the feature: classical 3d features are (almost) all you need for 3d anomaly detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.935439Z

Source-reported events for the cited work

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Observation 3d9305dd-51d1-4870-9661-33e93335f3b6 · outbound

This paper cites Multimodal industrial anomaly detection via hybrid fusion,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Multimodal industrial anomaly detection via hybrid fusion,

Reference 8

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Observation d890c734-7dbc-4dd1-87bd-ce9f0da0421e · outbound

This paper cites Rethinking reverse distillation for multi-modal anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Rethinking reverse distillation for multi-modal anomaly detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.898567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bd71edd3-b794-4eb7-898f-28a389b26e94 · outbound

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

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Anomaly detection via reverse distillation from one-class embedding,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.878076Z

Source-reported events for the cited work

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Observation eaa014e5-3577-4c29-a678-8144a2bfbd32 · outbound

This paper cites Ganomaly: Semi- supervised anomaly detection via adversarial training,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Ganomaly: Semi- supervised anomaly detection via adversarial training,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 592e594f-bf70-4019-b060-628ed24e365c · outbound

This paper cites Attribute restoration framework for anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Attribute restoration framework for anomaly detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.839829Z

Source-reported events for the cited work

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Observation df03cbdb-57f2-41a8-b201-01334b6a2771 · outbound

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

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners A unified model for multi-class anomaly detection,

Reference 13

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Observation ace20bcc-668c-4212-af30-7f7e453e6978 · outbound

This paper cites Self-supervised masking for unsupervised anomaly detection and localization,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Self-supervised masking for unsupervised anomaly detection and localization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.804135Z

Source-reported events for the cited work

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Observation b047a066-3dac-4386-80bd-66d96e456714 · outbound

This paper cites Unsuper- vised surface anomaly detection with diffusion probabilistic model,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Unsuper- vised surface anomaly detection with diffusion probabilistic model,

Reference 15

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Observation 764a20ce-6b73-45a3-b5f0-4a66f90189a6 · outbound

This paper cites Feature reconstruc- tion with disruption for unsupervised video anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Feature reconstruc- tion with disruption for unsupervised video anomaly detection,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b94fd800-c3e2-4f8c-99b1-58944c08fd7a · outbound

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

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners A diffusion-based framework for multi-class anomaly detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.744630Z

Source-reported events for the cited work

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Observation d7b8d40c-3fbc-45a1-9ebc-f978bab5867d · outbound

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

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Towards total recall in industrial anomaly detection,

Reference 18

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Observation c9a88a20-8bbb-4c95-8f81-5fe0f619bee2 · outbound

This paper cites Pni: industrial anomaly detection using position and neighborhood information,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Pni: industrial anomaly detection using position and neighborhood information,

Reference 19

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Observation 9bb1455e-48aa-4d64-9db9-85b25fa40d55 · outbound

This paper cites Target be- fore shooting: Accurate anomaly detection and localization under one millisecond via cascade patch retrieval,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Target be- fore shooting: Accurate anomaly detection and localization under one millisecond via cascade patch retrieval,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.700282Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3fd212e3-f164-419d-9ab3-9d739fc03f6a · outbound

This paper cites Cutpaste: Self-supervised learning for anomaly detection and localization,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Cutpaste: Self-supervised learning for anomaly detection and localization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.679495Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf97e6eb-e34d-48bf-8ec4-a241b9706d0c · outbound

This paper cites Draem-a discriminatively trained reconstruction embedding for surface anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Draem-a discriminatively trained reconstruction embedding for surface anomaly detection,

Reference 22

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Observation 216bdb2a-cc9a-4297-9711-dbd34d14ea3a · outbound

This paper cites A comprehensive augmentation framework for anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners A comprehensive augmentation framework for anomaly detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.648964Z

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Observation 50041079-e24d-4427-9329-27bdd76c4a26 · outbound

This paper cites Multiresolution knowledge distillation for anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Multiresolution knowledge distillation for anomaly detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.630033Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d183409-97da-4f05-89ca-534be94dc207 · outbound

This paper cites Revisiting reverse distillation for anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Revisiting reverse distillation for anomaly detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.611165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ebccb99b-9ce5-4d93-b794-e6a5ec81fcdc · outbound

This paper cites Template-guided hierarchical feature restoration for anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Template-guided hierarchical feature restoration for anomaly detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.593124Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 812a4066-2a2f-4d83-87ef-e616d86e098e · outbound

This paper cites Remembering normality: Memory-guided knowl- edge distillation for unsupervised anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Remembering normality: Memory-guided knowl- edge distillation for unsupervised anomaly detection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.575821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f12900f-f6e1-4ef2-a267-24f39db9ea4b · outbound

This paper cites Contextual affinity distillation for image anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Contextual affinity distillation for image anomaly detection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.556178Z

Source-reported events for the cited work

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Observation 96eaabae-c05b-4439-afb9-78f11f7ef20b · outbound

This paper cites Recontrast: Domain-specific anomaly detection via contrastive reconstruction,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Recontrast: Domain-specific anomaly detection via contrastive reconstruction,

Reference 29

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Observation 9a29738f-9b08-452f-aef9-72375c7b66fd · outbound

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

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners The eyecandies dataset for unsupervised multimodal anomaly detection and localization,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.519981Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9e90a4ef-2804-48a0-b2b9-941f1fe8d807 · outbound

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

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Real3d-ad: A dataset of point cloud anomaly detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.493099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6123492c-01b2-4fa4-be15-280c13635a36 · outbound

This paper cites Shape- guided dual-memory learning for 3d anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Shape- guided dual-memory learning for 3d anomaly detection,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T17:24:08.226872Z

Source-reported events for the cited work

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Observation 1a317061-e150-4bf1-87fc-7f6379efb936 · outbound

This paper cites Self-supervised feature adaptation for 3d industrial anomaly detection,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Self-supervised feature adaptation for 3d industrial anomaly detection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.455569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ded454a1-58f8-417f-9e30-141ef721a963 · outbound

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

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Easynet: An easy network for 3d industrial anomaly detection,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.416136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8f660d5-fb1f-402d-94f0-f30197acc62d · outbound

This paper cites Cheating depth: Enhancing 3d surface anomaly detection via depth simulation,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Cheating depth: Enhancing 3d surface anomaly detection via depth simulation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.396565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e6a3ebe-3ae8-4722-a776-96e12aa7c332 · outbound

This paper cites Keep dræming: Discriminative 3d anomaly detection through anomaly simulation,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Keep dræming: Discriminative 3d anomaly detection through anomaly simulation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.377121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d21041f7-e235-4a36-b639-2abf1b64a755 · outbound

This paper cites Anomaly detection in 3d point clouds using deep geometric descriptors,.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Anomaly detection in 3d point clouds using deep geometric descriptors,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:24:08.358762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3924363b-90ad-48ed-a6f0-6bcbb601538c · outbound

This paper cites Wide Residual Networks.

Tuned Reverse Distillation: Enhancing Multimodal Industrial Anomaly Detection with Crossmodal Tuners Wide Residual Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T17:24:08.266618Z

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Pith citing papers

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