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Paper Citation Record · LEDGER

The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2112.09045.

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

pith.paper-citation-record.v1
2112.09045 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:03:38.625726Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:10.592961Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4ab41bbc-39bb-421c-8c3d-53c4bc9b0f66 · inbound

Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection cites this paper.

Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 48

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verified exact
arxiv_id, observed 2026-05-24T01:23:42.234614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T01:20:02.059096Z digest=sha256:8ed5dd2f56de61b205b13bd319e2f69d5dfe9ac53c58bdccb336c4e96ec70a6b

Observation 9f13eb32-772d-469d-94d2-bde6487fb991 · inbound

A 3D Multimodal Feature for Infrastructure Anomaly Detection cites this paper.

A 3D Multimodal Feature for Infrastructure Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 9

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no resolver link, observed 2026-08-08T18:03:38.625726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:03:38.625726Z digest=sha256:4158603e493dfd401856ba1ceb07685d224710555b0459eff72ae3bfa1148590

Observation 17134645-83f0-48b0-94a8-646b45a603ca · inbound

3DKeyAD: High-Resolution 3D Point Cloud Anomaly Detection via Keypoint-Guided Point Clustering cites this paper.

3DKeyAD: High-Resolution 3D Point Cloud Anomaly Detection via Keypoint-Guided Point Clustering The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 3

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no resolver link, observed 2026-08-06T16:35:41.275269Z

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source=pdf_text observed=2026-08-06T16:35:41.275269Z digest=sha256:b133250483637e569a2b679c84c6da47ba56d14efd56dffd7a148be085de52e2

Observation a3f7fa82-3d07-48ae-8e73-02e667e3a885 · inbound

An aerial color image anomaly dataset for search missions in complex forested terrain cites this paper.

An aerial color image anomaly dataset for search missions in complex forested terrain The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 61

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no resolver link, observed 2026-08-06T15:35:19.386887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:35:19.386887Z digest=sha256:23b660897c98d7fd700b56f5c5b0f0b7437c30498e8995143b555f022633f3c7

Observation 24e1664c-bef0-4474-8adb-652628315d08 · inbound

HyPCV-Former: Hyperbolic Spatio-Temporal Transformer for 3D Point Cloud Video Anomaly Detection cites this paper.

HyPCV-Former: Hyperbolic Spatio-Temporal Transformer for 3D Point Cloud Video Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 3

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no resolver link, observed 2026-08-06T10:09:23.680864Z

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source=arxiv_source observed=2026-08-06T10:09:23.680864Z digest=sha256:4ad435a50a7f3d846d07e8aeb9793c3ffd4d157e1a84efb2953dec06bb18a0c3

Observation 2775627b-ed62-40f7-9178-12bbb4b5d305 · inbound

Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection cites this paper.

Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 4

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no resolver link, observed 2026-08-06T05:36:22.541008Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:36:22.541008Z digest=sha256:18402cc332522ba7e01af1cee3a094e4dd0b13130783148e76cabac5b35e46ab

Observation 88b3d618-9c8f-4be4-86d9-19a6302793f7 · inbound

DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup cites this paper.

DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 5

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source=arxiv_source observed=2026-08-05T18:59:07.400067Z digest=sha256:6ecb781d813542226a9fcd81a197b7197ffcff36d0b5be74fb2d6cae8816360b

Observation 057b082f-5c8f-4dfc-af06-0497ce761f34 · inbound

Generative Model-Based Feature Attention Module for Video Action Analysis cites this paper.

Generative Model-Based Feature Attention Module for Video Action Analysis The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 4

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no resolver link, observed 2026-08-05T19:03:27.099316Z

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source=pdf_text observed=2026-08-05T19:03:27.099316Z digest=sha256:1f5dc4fe371d306b8a78a7535d725c44a0ed302304762b607cf27f1fe68b21c1

Observation 4ccfdd26-7f99-4e9a-be91-cb6495835ccb · inbound

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection cites this paper.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 5

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no resolver link, observed 2026-08-05T15:11:32.205599Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:11:32.205599Z digest=sha256:5ae699b5090eb8152797792cbe5ad086d7b71d7a8143bc15b30120d4e93240d7

Observation 75bb1f60-9dc2-4ec5-8cbb-c01717e646b4 · inbound

GCR: Geometry-Consistent Routing for Task-Agnostic Continual Anomaly Detection cites this paper.

GCR: Geometry-Consistent Routing for Task-Agnostic Continual Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 4

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no resolver link, observed 2026-08-03T12:43:27.803852Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:43:27.803852Z digest=sha256:5d328e469b03bc2e5ed53428c89f68c05b42831e77df8b3e46d8c1db816ae55c

Observation 4d691f65-af30-4482-b9c8-d1e3dc44f507 · inbound

Multimodal Benchmark for Safety Assessment in Industrial Inspection Scenarios cites this paper.

Multimodal Benchmark for Safety Assessment in Industrial Inspection Scenarios The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:06:01.166838Z digest=sha256:01ac1f776a2ba9a65aef3e53154bff3fc683a5be46c810a32a96838da2c8f1da

Observation fc80ee39-00e4-4552-86cb-2741e8cd9b23 · inbound

Hierarchical Point-Patch Fusion with Adaptive Patch Codebook for 3D Shape Anomaly Detection cites this paper.

Hierarchical Point-Patch Fusion with Adaptive Patch Codebook for 3D Shape Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 4

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no resolver link, observed 2026-07-13T11:39:01.472678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T11:39:01.472678Z digest=sha256:b8f49584ef576535a76a7ab588f66343784d1495b56d9d5faf7e57c480ccd311

Observation 54e8c0f1-2a69-4baa-be2f-46aaff189ada · inbound

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models cites this paper.

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 6

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arxiv_id, observed 2026-05-11T09:46:00.842461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:51:31.394779Z digest=sha256:abed10fcde58e2f4e2beeb594a9af673528c1e1a10eece7f77d921a9f62f9915

Observation 2ad384f7-fd39-4854-ab98-d8b0f31df266 · inbound

ZSG-IAD: A Multimodal Framework for Zero-Shot Grounded Industrial Anomaly Detection cites this paper.

ZSG-IAD: A Multimodal Framework for Zero-Shot Grounded Industrial Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 30

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arxiv_id, observed 2026-05-10T05:41:01.792926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T05:40:25.626440Z digest=sha256:e9ef0a2c2dabef7b2f6a35508565ceedd611a12cbf0c14256715bddacb82ee95

Observation 8aebfbbc-7942-4095-99d8-8d8cab19e506 · inbound

Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection cites this paper.

Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 3

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arxiv_id, observed 2026-05-11T16:31:06.695929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T16:34:22.826289Z digest=sha256:8998fc9e4557b6bb671253b7ace50b128e30d4c7150c044297c98b5c57c4bb99

Observation 60ebdbe0-2cdd-4e5b-8891-d83f3d069a07 · inbound

Real-IAD MVN: A Multi-View Normal Vector Dataset and Benchmark for High-Fidelity Industrial Anomaly Detection cites this paper.

Real-IAD MVN: A Multi-View Normal Vector Dataset and Benchmark for High-Fidelity Industrial Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 3

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verified exact
arxiv_id, observed 2026-05-11T04:31:00.071783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T01:16:04.601433Z digest=sha256:3bbe8315e79ad79e5b7934fed3f1845f77da35a41aa7ed8f60c271f85faa8b71

Observation b4d68e2f-177e-4a1c-a55e-ee241c614e33 · inbound

Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection cites this paper.

Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 11

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arxiv_id, observed 2026-06-30T19:45:01.019796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T19:37:15.634325Z digest=sha256:832d6278150320ecf6f58cfdf0a02a4929b56f7d3db96a6d5884d6af3a3a6474

Observation eed13500-6380-444e-be48-dfad0e3efde1 · inbound

VT-3DAD: Cross-Category 3D Anomaly Detection via Visual-Text Normal Space Alignment cites this paper.

VT-3DAD: Cross-Category 3D Anomaly Detection via Visual-Text Normal Space Alignment The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 1

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arxiv_id, observed 2026-07-02T07:16:44.481170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T07:04:00.736352Z digest=sha256:536b101bd273c52488b5a98de08463bb0f11c6b96f6b0fff61f58342bfae4a03

Observation b9b6da49-aa53-40de-846f-1e2f44088293 · inbound

CMDS-AD: Cross-Modal Dual-Stream Decoupling for Few-Shot Anomaly Detection cites this paper.

CMDS-AD: Cross-Modal Dual-Stream Decoupling for Few-Shot Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 2

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metadata mismatch
arxiv_id, observed 2026-07-04T03:39:31.019976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T17:43:36.341547Z digest=sha256:d2885b51752489e25909c3b6b95240a0bd4e0948059c2aad0395405b69589dd2

Observation 8a39774a-d5e2-4451-a94f-6ad3c103401d · inbound

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection cites this paper.

CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 23

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arxiv_id, observed 2026-07-04T19:50:10.594482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T20:59:46.355482Z digest=sha256:c95ec1c8b4aec6e58091178867966705b7d294c98018569639e3438f68fba049

Observation 50e4fab0-b20e-45a3-8480-fc976c6355fc · inbound

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation cites this paper.

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 89

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arxiv_id, observed 2026-07-01T17:15:50.947930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T04:05:22.253489Z digest=sha256:37ce0e16f50395d1b5083cbcbd51a7850bba8335f1c0ab30e89153161c635833

Observation c79c7e54-f4d0-4a8d-bd1b-cdc50b9600b0 · inbound

Anomaly Factory 3D: A Modular Framework for Diverse Pseudo-Anomaly Synthesis in Unsupervised 3D Anomaly Detection cites this paper.

Anomaly Factory 3D: A Modular Framework for Diverse Pseudo-Anomaly Synthesis in Unsupervised 3D Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 1

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metadata mismatch
arxiv_id, observed 2026-06-30T07:54:21.766463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T07:53:44.196356Z digest=sha256:0d61412c9ddcdbc53cc9386d4084f72be147bd66089fe1b3548db0020c3bb263

Observation bca9e186-efce-4d59-9fe3-8510607679b8 · inbound

CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection cites this paper.

CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:01:58.407747Z digest=sha256:b853284e04cbf9166830dfba52c606705931bd0b172429eddab87db42631972d

Observation acad1a6e-3063-4699-9e22-de459cbec037 · inbound

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) cites this paper.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:18:15.797272Z digest=sha256:ee299b3c02d9a045cc3ceb3543ed7b14400d4fe52b95fa44a00d7d61ecc4cc6c