SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark | Paper Citation Record

Observation ae8232d1-7c43-4e0c-97a8-efaecd9713cc · outbound

This paper cites Efficien- tad: Accurate visual anomaly detection at millisecond-level latencies.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Efficien- tad: Accurate visual anomaly detection at millisecond-level latencies

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:03.485720Z

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Observation d2670379-afbd-4752-95a9-a252bf2edb48 · outbound

This paper cites Deep Nearest Neighbor Anomaly Detection.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Deep Nearest Neighbor Anomaly Detection

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:29:59.620383Z

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Observation b4eb5ca4-29a2-4771-a4e9-ac599ae0a3d8 · outbound

This paper cites Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:29:59.647239Z

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Observation 12b550e3-319a-45d4-bbf0-307cea710d9a · outbound

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

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Mvtec ad – a comprehensive real-world dataset for unsupervised anomaly detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:03.370086Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 02e68902-9d46-47ae-a7b2-bb660eed3b57 · outbound

This paper cites Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and localization.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and localization

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:03.274491Z

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Observation 8221096f-67ed-41ff-bf90-839154050ebc · outbound

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

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark The mvtec 3d-ad dataset for unsupervised 3d anomaly detection and localization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:03.210039Z

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Observation 60023157-572a-4e18-bad6-63b17463e0b3 · outbound

This paper cites The eyecandies dataset for unsupervised multimodal anomaly detection and local- ization.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark The eyecandies dataset for unsupervised multimodal anomaly detection and local- ization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:03.154763Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a3a65c6-da99-4999-937b-847a9e8a3998 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Emerg- ing properties in self-supervised vision transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:29:59.769782Z

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Observation 07000902-b9b5-4cad-ac36-338b92b0f982 · outbound

This paper cites Self-supervised normal- izing flows for image anomaly detection and localization.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Self-supervised normal- izing flows for image anomaly detection and localization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:03.001978Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cb284ec6-25f6-4704-8d86-8c89f7f99b38 · outbound

This paper cites Sub-image anomaly detection with deep pyramid correspondences.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Sub-image anomaly detection with deep pyramid correspondences

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:02.944771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 859dab37-8589-4d99-aa00-2d3d8e30d374 · outbound

This paper cites Blender - a 3D modelling and rendering package.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Blender - a 3D modelling and rendering package

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:02.882634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 136c2926-c8f4-42db-b20e-e8b978f91272 · outbound

This paper cites CloudCompare - 3D point cloud and mesh processing software Open Source Project.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark CloudCompare - 3D point cloud and mesh processing software Open Source Project

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:02.805561Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25bc58a3-f873-4b30-be65-dc29bfff8212 · outbound

This paper cites Test time training for industrial anomaly seg- mentation.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Test time training for industrial anomaly seg- mentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:02.727503Z

Source-reported events for the cited work

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Observation 9862c4e5-86ad-4856-b0bc-e78d9b849769 · outbound

This paper cites Multimodal industrial anomaly detec- tion by crossmodal feature mapping.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Multimodal industrial anomaly detec- tion by crossmodal feature mapping

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:02.634742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 030534f5-5d82-437c-b49c-e04ca622a68f · outbound

This paper cites Padim: a patch distribution modeling framework for anomaly detection and localization.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Padim: a patch distribution modeling framework for anomaly detection and localization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:02.519841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a81c0b06-f73c-4412-b877-42af2dfcc4dd · outbound

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

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Cflow-ad: Real-time unsupervised anomaly detection with localization via conditional normalizing flows

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:02.404728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5322869-6071-46cf-8e08-bc43b9aac6ae · outbound

This paper cites Masked autoencoders are scalable vision learners.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Masked autoencoders are scalable vision learners

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:02.326072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9ffbd2a-3234-4c37-9a2d-a1f190f44c02 · outbound

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

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Back to the feature: clas- sical 3d features are (almost) all you need for 3d anomaly detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:02.234476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6a8c4030-297c-4a8c-80ee-ed2b3b43724a · outbound

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

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Divide-and-assemble: Learning block-wise memory for unsupervised anomaly detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:02.180997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40c7f02c-2ab8-4198-abfd-b395fd821dc2 · outbound

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

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Cutpaste: Self-supervised learning for anomaly de- tection and localization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:02.115841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ed9e1a6-221f-40f0-a9de-5f34b5c9afb7 · outbound

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

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Real3d-ad: A dataset of point cloud anomaly detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:02.066139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7794e30c-124a-44dd-b612-6b631757fb9c · outbound

This paper cites Deep Industrial Image Anomaly Detection: A Survey.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Deep Industrial Image Anomaly Detection: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:00.087869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaad57a9-d610-444f-a370-915ab029f78e · outbound

This paper cites Mocca: Multilayer one-class classification for anomaly de- tection.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Mocca: Multilayer one-class classification for anomaly de- tection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.995088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f25dbf7e-f67f-47c1-89d0-4e2e43522f70 · outbound

This paper cites an unresolved cited work.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:30:01.914747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70f9dcc3-efa6-4635-b276-5e88fc30da99 · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Masked autoencoders for point cloud self-supervised learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:00.124107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ca43b9c-219f-4cbc-8080-5c9752cfe348 · outbound

This paper cites Inpainting transformer for anomaly detection.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Inpainting transformer for anomaly detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.778069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2f5aa761-f0d9-453f-ab8c-27b2b9fe1773 · outbound

This paper cites Panda: Adapting pretrained features for anomaly detection and segmentation.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Panda: Adapting pretrained features for anomaly detection and segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.726774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 679e116b-5343-490d-bfa9-86348da2aedd · outbound

This paper cites Model- ing the distribution of normal data in pre-trained deep fea- tures for anomaly detection.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Model- ing the distribution of normal data in pre-trained deep fea- tures for anomaly detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.677148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49da4ea6-3409-4caa-a1bb-0e33434db8c8 · outbound

This paper cites Self-supervised predictive convo- lutional attentive block for anomaly detection.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Self-supervised predictive convo- lutional attentive block for anomaly detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.632486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15ca77d4-4a24-4ad7-abf2-f5eaf55d2800 · outbound

This paper cites Towards total re- call in industrial anomaly detection.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Towards total re- call in industrial anomaly detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.594793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3b9135d-773b-4c19-9826-c1f462e54b47 · outbound

This paper cites Same same but differnet: Semi-supervised defect detection with normalizing flows.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Same same but differnet: Semi-supervised defect detection with normalizing flows

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.532644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 659aca85-d242-4d82-96b9-b2e36bafd418 · outbound

This paper cites Asymmetric student-teacher networks for indus- trial anomaly detection.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Asymmetric student-teacher networks for indus- trial anomaly detection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.465916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 81cb113c-320b-466e-a2b2-3815f3dfed80 · outbound

This paper cites Fast point feature histograms (fpfh) for 3d registration.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Fast point feature histograms (fpfh) for 3d registration

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.360420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b844aaea-ad57-4c9f-8ada-5696752db7e8 · outbound

This paper cites Learning and evaluating representations for deep one-class classification.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Learning and evaluating representations for deep one-class classification

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.307828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4c21db1-0c7e-4e3a-b351-3a219e6498fc · outbound

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

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Real-iad: A real-world multi-view dataset for benchmarking versatile industrial anomaly detec- tion

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.262830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a069e37-dfa6-4a40-a1e4-f2c18fa06eec · outbound

This paper cites Multimodal industrial anomaly detection via hybrid fusion.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Multimodal industrial anomaly detection via hybrid fusion

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.185100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2bfb1f28-ef00-4fcd-9a1d-a624f07a4320 · outbound

This paper cites Anoddpm: Anomaly detection with de- noising diffusion probabilistic models using simplex noise.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Anoddpm: Anomaly detection with de- noising diffusion probabilistic models using simplex noise

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.086039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation da1b5816-8d26-4ce5-baed-b1d13cb83cdb · outbound

This paper cites Memseg: A semi- supervised method for image surface defect detection using differences and commonalities.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Memseg: A semi- supervised method for image surface defect detection using differences and commonalities

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:01.010078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 849fe8cf-a32d-4804-80d1-ea99c7ed189c · outbound

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

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Patch svdd: Patch-level svdd for anomaly detection and segmentation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:00.948853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 21fe0f4e-c507-41f2-b271-3e298e9c3bcb · outbound

This paper cites Self-supervised learning for anomaly detection with dynamic local augmentation.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Self-supervised learning for anomaly detection with dynamic local augmentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:00.833173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 534a9aa6-ce8f-4590-b553-51e5b47aaced · outbound

This paper cites FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:00.299260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb98630-0016-4c9e-b51a-6620f17545eb · outbound

This paper cites Wide residual net- works.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Wide residual net- works

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:00.768467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd8e60d3-6a29-4c8d-8326-6b944ebde01e · outbound

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

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Draem- a discriminatively trained reconstruction embedding for sur- face anomaly detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:00.714097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b7c101c-bc65-44fa-9a31-130b0cfcbec5 · outbound

This paper cites Anomaly detection using improved deep svdd model with data structure preservation.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark Anomaly detection using improved deep svdd model with data structure preservation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:00.617247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68154640-d7e7-4028-beef-cb8c41283389 · outbound

This paper cites PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:30:00.444500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 763c8c8f-a925-49f7-9c8a-18413ae9789a · outbound

This paper cites SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation.

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation

Reference 46

Resolution: malformed identifier; no resolver link, observed 2026-08-06T22:30:00.340352Z

Source-reported events for the cited work

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