Paper Citation Record · LEDGER

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection

As of 20 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 2 inbound Pith citation observations for arXiv:2509.10282.

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

pith.paper-citation-record.v1
2509.10282 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:59:52.674048Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T20:18:00.660828Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy43
unresolved6
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1fad9be-5ecc-4df8-8f11-b80eb4b09acf · outbound

This paper cites Mvtec AD - A comprehensive real-world dataset for unsupervised anomaly detection,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Mvtec AD - A comprehensive real-world dataset for unsupervised anomaly detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.578398Z

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 88ef8b02-33f6-41db-9d76-c6f8034c3fe8 · outbound

This paper cites Revisiting reverse distillation for anomaly detection,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Revisiting reverse distillation for anomaly detection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.561606Z

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 6456d76d-1fe8-49b2-9f5d-6f35f77878ed · outbound

This paper cites Uninformed students: Student-teacher anomaly detec- tion with discriminative latent embeddings,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Uninformed students: Student-teacher anomaly detec- tion with discriminative latent embeddings,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.544853Z

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 b3de4054-0f5e-4776-9193-69dbfcaa885c · outbound

This paper cites Explainable deep one-class classification,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Explainable deep one-class classification,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.526245Z

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 87f61235-887b-4e8d-8296-9c7f82eb7879 · outbound

This paper cites Explainable Deep Few-shot Anomaly Detection with Deviation Networks.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:52.445183Z

Source-reported events for the cited work

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Observation b6d73c62-2e45-45e4-8bbd-e02255349fcf · outbound

This paper cites Deep learning for anomaly detection: A review,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Deep learning for anomaly detection: A review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.508933Z

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 913a9cb0-8425-478a-a231-a192ec372e9a · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Towards total recall in industrial anomaly detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.492921Z

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 990637b0-2637-4fcd-9f6b-ea8e312bc09e · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Anomaly detection via reverse distillation from one-class embedding,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.476864Z

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 775d9cfc-86cf-4b38-82a5-aad33dfac371 · outbound

This paper cites Winclip: Zero-/few-shot anomaly clas- sification and segmentation,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Winclip: Zero-/few-shot anomaly clas- sification and segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.458653Z

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 829bbc50-9980-43d4-ac9c-de51a98fcc1d · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Pushing the limits of fewshot anomaly detection in industry vision: Graphcore,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.440705Z

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 2258cba6-7300-4e53-9dd5-e33344904818 · outbound

This paper cites Anomaly detection under distribution shift,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Anomaly detection under distribution shift,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.422709Z

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 6f060153-189c-4d71-b279-2788d0c8a399 · outbound

This paper cites Anomalygpt: Detecting industrial anomalies using large vision-language models,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Anomalygpt: Detecting industrial anomalies using large vision-language models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.406223Z

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 ac285531-7c1c-4dd6-a65a-2928df20ce94 · outbound

This paper cites Registration based few-shot anomaly detection,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Registration based few-shot anomaly detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.371657Z

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 d130887b-97fa-404b-9252-5dde0a057edb · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection A unified model for multi-class anomaly detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.350325Z

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 2c7d6bc4-317b-4718-8dc7-e778ccacab03 · outbound

This paper cites When and how does known class help discover unknown ones? provable understanding through spectral analysis,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection When and how does known class help discover unknown ones? provable understanding through spectral analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.331958Z

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 cbbee5e7-95f1-4def-ab22-c9fa426e40cb · outbound

This paper cites Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.313921Z

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 850c0368-daaf-4000-8600-65c757fd7985 · outbound

This paper cites A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:52.510832Z

Source-reported events for the cited work

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Observation 598bed3f-3c13-47c5-80fa-41ae31ff05a5 · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Easynet: An easy network for 3d industrial anomaly detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.295966Z

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 4da91e65-31aa-44a2-bedf-5d13a523e0db · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection The mvtec 3d-ad dataset for unsupervised 3d anomaly de- tection and localization,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.277573Z

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 d9595ad9-7d7e-4dcd-8ff9-620feebbdeed · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Simplenet: A simple network for image anomaly detection and localization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.258526Z

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 3caf12eb-64ad-4f15-b11d-8675baa48c88 · outbound

This paper cites DSR - A dual subspace re-projection network for surface anomaly detection,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection DSR - A dual subspace re-projection network for surface anomaly detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.240870Z

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 8e1fd2b5-ea8a-4043-8359-ab7560371b06 · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Prototypical residual networks for anomaly detection and localization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.221108Z

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 765e57da-0dfb-4005-9e1e-0de1320a057e · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Back to the feature: classical 3d features are (almost) all you need for 3d anomaly detection,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:52.540837Z

Source-reported events for the cited work

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Observation f305c2cc-ef32-43c9-b397-de63916ac492 · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Multimodal industrial anomaly detection via hybrid fusion,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.191832Z

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 3bb4249c-c860-4b55-ab1b-abb08df14e59 · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Shape- guided dual-memory learning for 3d anomaly detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.174475Z

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 1693c821-5119-4aa4-b0ad-a051f69d579e · outbound

This paper cites Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:52.556826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf8414b8-6a43-4653-ac85-631c6e8a3b5d · outbound

This paper cites Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and local- ization,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and local- ization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.152668Z

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 1bdea4b1-38db-44b7-aaf6-20e4f3b33201 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Learning transferable visual models from natural language supervision,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.134679Z

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 9de8dae4-f872-4452-80b7-9040b613caff · outbound

This paper cites Self-supervised predictive convolutional attentive block for anomaly de- tection,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Self-supervised predictive convolutional attentive block for anomaly de- tection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.116654Z

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 a430b3f5-29db-44d3-bb38-6d8366565b63 · outbound

This paper cites Pointad: Comprehending 3d anomalies from points and pixels for zero-shot 3d anomaly detection,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Pointad: Comprehending 3d anomalies from points and pixels for zero-shot 3d anomaly detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.101113Z

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 f088d7f6-bc38-4e44-a184-7f0908e7581a · outbound

This paper cites Ms- flow: Multiscale flow-based framework for unsupervised anomaly detection,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Ms- flow: Multiscale flow-based framework for unsupervised anomaly detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.084925Z

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 f15c473d-b29d-4a88-8ed5-c9210bf0faca · outbound

This paper cites The eyecandies dataset for unsuper- vised multimodal anomaly detection and localization,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection The eyecandies dataset for unsuper- vised multimodal anomaly detection and localization,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.067918Z

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 26097f34-75b7-43c5-a601-942e69af5ad6 · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Anomaly detection in 3d point clouds using deep geometric descriptors,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.045216Z

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 503aa8a0-60f0-48b8-bd43-b01ea9acd581 · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Asymmetric student-teacher networks for industrial anomaly detection,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.023785Z

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 d2b52e61-39bc-4755-815e-8f77617342a0 · outbound

This paper cites Towards scalable 3d anomaly detection and localization: A benchmark via 3d anomaly synthesis and A self- supervised learning network,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Towards scalable 3d anomaly detection and localization: A benchmark via 3d anomaly synthesis and A self- supervised learning network,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.006822Z

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 80c631f3-934e-4ba4-a9f6-8eb5dea976ef · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Cheating depth: Enhancing 3d surface anomaly detection via depth simulation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:52.990702Z

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 cb3786f8-d708-49e5-be3f-403563cc9333 · outbound

This paper cites Learning to prompt for vision-language models,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Learning to prompt for vision-language models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:52.974075Z

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 38dd323e-afc0-48d9-abc9-bbdec73f3c80 · outbound

This paper cites Maple: Multi-modal prompt learning,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Maple: Multi-modal prompt learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:52.951538Z

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 3f3212e3-f671-405b-9212-ad8a68f3dd1a · outbound

This paper cites Multimodal industrial anomaly detection by crossmodal feature mapping,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Multimodal industrial anomaly detection by crossmodal feature mapping,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:52.932597Z

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 1d753d74-8c44-43c9-b695-e9819a10745e · outbound

This paper cites APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:52.627287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59774f49-dd66-4eeb-811c-5668f9aad510 · outbound

This paper cites Segment Any Anomaly without Training via Hybrid Prompt Regularization.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T15:59:52.632381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b32771ee-dfa5-4e69-b475-d4019f18a464 · outbound

This paper cites Complementary pseudo multimodal feature for point cloud anomaly detection,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Complementary pseudo multimodal feature for point cloud anomaly detection,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:52.913261Z

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 f87d12e3-6bb2-495f-ad41-f4988284be21 · outbound

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

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Masked autoencoders for point cloud self- supervised learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:52.895824Z

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 3387e8c3-8a8f-4c6c-ade4-3b8d533dfafc · outbound

This paper cites Pointclip V2: prompting CLIP and GPT for powerful 3d open-world learning,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Pointclip V2: prompting CLIP and GPT for powerful 3d open-world learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:52.876910Z

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 26a0a394-9f87-4c5d-bfe2-ee90a5cb76d0 · outbound

This paper cites Anoma- lyclip: Object-agnostic prompt learning for zero-shot anomaly detection,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Anoma- lyclip: Object-agnostic prompt learning for zero-shot anomaly detection,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:53.388605Z

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 b281e154-90d2-4377-b6df-d08344292e6b · outbound

This paper cites Zero-shot learning on 3d point cloud objects and beyond,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Zero-shot learning on 3d point cloud objects and beyond,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:52.859071Z

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 7f0e14e1-8c9e-45e2-af88-3d75b62694d6 · outbound

This paper cites Progres- sive boundary guided anomaly synthesis for industrial anomaly detection,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Progres- sive boundary guided anomaly synthesis for industrial anomaly detection,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:52.834615Z

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 0f0ab2fd-e431-4721-967f-f22263972bd3 · outbound

This paper cites Normal im- age guided segmentation framework for unsupervised anomaly detection,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Normal im- age guided segmentation framework for unsupervised anomaly detection,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:59:52.817214Z

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Observation 041c0403-9e75-47e4-a3ec-2754c60aeea2 · outbound

This paper cites Learning global-local correspondence with semantic bottleneck for logical anomaly detection,.

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection Learning global-local correspondence with semantic bottleneck for logical anomaly detection,

Reference 50

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Pith citing papers

Observation d3266246-e2a6-4225-81f4-481d11883b83 · inbound

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection cites this paper.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection

Reference 20

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Observation 4d9ff513-1d48-4726-b082-38d16a9bb025 · inbound

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection cites this paper.

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection

Reference 20

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