Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2508.20492.

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

pith.paper-citation-record.v1
2508.20492 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:11:33.242725Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy24
unresolved9
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e92aae61-dae3-4871-9456-36a470138ff0 · outbound

This paper cites an unresolved cited work.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-05T15:11:37.924743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 68c2f389-708f-42fc-8e0b-1fafb74e53a1 · outbound

This paper cites Pni: industrial anomaly detection using position and neighborhood information, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Pni: industrial anomaly detection using position and neighborhood information, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:37.824837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation de2690a0-94ad-4e00-95d5-548aa8e3b6a9 · outbound

This paper cites Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:37.704750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2ee599b1-f1da-4977-9c30-bba515f6f935 · outbound

This paper cites an unresolved cited work.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T15:11:37.568175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aafa320-fcb0-4d17-90bb-bc9e5f49b6d2 · outbound

This paper cites Anomaly detection in 3d point clouds using deep geometric descriptors, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Anomaly detection in 3d point clouds using deep geometric descriptors, in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:37.445812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2a19fcd2-de87-4030-9483-a27759baa2c4 · outbound

This paper cites 3d-adcs: Untrained 3d anomaly detectionforcomplexmanufacturingsurfaces.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection 3d-adcs: Untrained 3d anomaly detectionforcomplexmanufacturingsurfaces

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:37.374761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 80b5155a-a682-4c43-9071-ceb10a0a767c · outbound

This paper cites Informative knowledge distillation for image anomaly segmentation.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Informative knowledge distillation for image anomaly segmentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:37.275087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 96394ea5-a3a0-470b-8271-9a9cd380179e · outbound

This paper cites Complementarypseudomultimodal feature for point cloud anomaly detection.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Complementarypseudomultimodal feature for point cloud anomaly detection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:37.184765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4dff6de5-f776-46e1-8e47-addc2d4db275 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection ShapeNet: An Information-Rich 3D Model Repository

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T15:11:32.354855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c61be10-5a36-4a95-82fb-a29875a20829 · outbound

This paper cites Shape- guided dual-memory learning for 3d anomaly detection, in: Proceed- ings of the 40th International Conference on Machine Learning, pp.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Shape- guided dual-memory learning for 3d anomaly detection, in: Proceed- ings of the 40th International Conference on Machine Learning, pp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:37.081863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8fa8d17d-1d4d-40c5-afe2-5fa6aefbb4f0 · outbound

This paper cites Padim:apatch distributionmodelingframeworkforanomalydetectionandlocaliza- tion,in:Internationalconferenceonpatternrecognition,Springer.pp.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Padim:apatch distributionmodelingframeworkforanomalydetectionandlocaliza- tion,in:Internationalconferenceonpatternrecognition,Springer.pp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:36.953218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0b3268b1-fd5b-4cb4-a2b9-ee84cb40d8bd · outbound

This paper cites Imagenet: A large-scale hierarchical image database, in: 2009 IEEE conferenceoncomputervisionandpatternrecognition,Ieee.pp.248– 255.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Imagenet: A large-scale hierarchical image database, in: 2009 IEEE conferenceoncomputervisionandpatternrecognition,Ieee.pp.248– 255

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T15:11:32.464899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98595358-4091-4e5a-a103-fc69017d6650 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection An image is worth 16x16 words: Transformers for image recognition at scale

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:36.744749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2240aa5f-fffb-493e-aab5-854af5ecc1ab · outbound

This paper cites 3d vision-based anomaly detection in manufacturing: A survey.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection 3d vision-based anomaly detection in manufacturing: A survey

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:36.610646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f20c0718-1fa1-427a-9756-40e42df81e0c · outbound

This paper cites an unresolved cited work.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-05T15:11:36.519649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 81056aa7-0b81-488a-86c9-5e9f3a27a956 · outbound

This paper cites Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T15:11:32.625868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d413a3a2-143e-4573-89c6-7a3e2cddffb9 · outbound

This paper cites an unresolved cited work.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-05T15:11:36.334761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3ff60c1a-9890-45ca-bd7f-fdccffccd360 · outbound

This paper cites Randla-net: Efficient semantic segmentation of large-scalepointclouds,in:ProceedingsoftheIEEE/CVFconference on computer vision and pattern recognition, pp.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Randla-net: Efficient semantic segmentation of large-scalepointclouds,in:ProceedingsoftheIEEE/CVFconference on computer vision and pattern recognition, pp

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:36.001563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e6e8e790-38b2-456c-b590-3028171681f8 · outbound

This paper cites A multi-scale information fusion framework with interaction-aware global attention for industrial vi- sionanomalydetectionandlocalization.InformationFusion,103356.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection A multi-scale information fusion framework with interaction-aware global attention for industrial vi- sionanomalydetectionandlocalization.InformationFusion,103356

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:35.565248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3a69269e-b7c2-415a-9634-b8478780a84a · outbound

This paper cites A survey on rgb, 3d, and multimodal approaches for unsupervised industrial image anomaly detection.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection A survey on rgb, 3d, and multimodal approaches for unsupervised industrial image anomaly detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:35.194756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 01e48e0b-52ee-4460-a13a-abad2285804a · outbound

This paper cites Memory association guided unsupervised anomaly detection with adaptive 3d attention.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Memory association guided unsupervised anomaly detection with adaptive 3d attention

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:34.913806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 64e07676-1364-464d-8821-33190192fbe3 · outbound

This paper cites Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T15:11:32.845607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c040853c-06a3-4c3a-8514-f67bdc06b982 · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning, in: European conference on computer vision, Springer.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Masked autoencoders for point cloud self-supervised learning, in: European conference on computer vision, Springer

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:34.724229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 697f5afc-0572-4128-a4fe-f02537721e8d · outbound

This paper cites Pointnet:Deeplearning on point sets for 3d classification and segmentation, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Pointnet:Deeplearning on point sets for 3d classification and segmentation, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:34.617510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f35b92c7-932e-4d58-b850-c40aee845b2f · outbound

This paper cites Towards total recall in industrial anomaly detection, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Towards total recall in industrial anomaly detection, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:34.544746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1c641383-d5ce-41ce-9a9a-4cf580d8b855 · outbound

This paper cites Asym- metric student-teacher networks for industrial anomaly detection, in: Proceedings of the IEEE/CVF winter conference on applications of computer vision, pp.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Asym- metric student-teacher networks for industrial anomaly detection, in: Proceedings of the IEEE/CVF winter conference on applications of computer vision, pp

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:34.424751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 54405c58-6473-4cd5-8ccd-b131d100fe1b · outbound

This paper cites Fast point feature his- tograms (fpfh) for 3d registration, in: 2009 IEEE international con- ference on robotics and automation, IEEE.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Fast point feature his- tograms (fpfh) for 3d registration, in: 2009 IEEE international con- ference on robotics and automation, IEEE

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:34.288242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1d9b5d1f-2615-4b5a-aa29-acaa4bfa7beb · outbound

This paper cites G$^{2}$SF-MIAD: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection G$^{2}$SF-MIAD: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:11:33.355513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c2ef7ba4-f38f-4838-b24e-c2d532fe56f3 · outbound

This paper cites Knowl- edge fusion of large language models, in: The Twelfth International Conference on Learning Representations.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Knowl- edge fusion of large language models, in: The Twelfth International Conference on Learning Representations

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:34.185025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c501c5d0-1255-4d53-b0e6-b0848e8d528a · outbound

This paper cites Multimodal industrial anomaly detection via hybrid fusion, in: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Multimodal industrial anomaly detection via hybrid fusion, in: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:34.074743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8da2dbee-4cfa-4ebf-9bdf-472e4d7dc552 · outbound

This paper cites Invase: Instance-wise variableselectionusingneuralnetworks,in:Internationalconference on learning representations.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Invase: Instance-wise variableselectionusingneuralnetworks,in:Internationalconference on learning representations

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:33.945570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 57563516-0fa5-4458-b8b5-3f3a427bd387 · outbound

This paper cites Destseg:Segmentationguideddenoisingstudent-teacherforanomaly detection,in:ProceedingsoftheIEEE/CVFConferenceonComputer Vision and Pattern Recognition, pp.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Destseg:Segmentationguideddenoisingstudent-teacherforanomaly detection,in:ProceedingsoftheIEEE/CVFConferenceonComputer Vision and Pattern Recognition, pp

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:33.824743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 886c964e-4a5c-4ef0-9c86-d32e841008cf · outbound

This paper cites Information Fusion , 103517.

IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection Information Fusion , 103517

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:11:37.879235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.