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Paper Citation Record · LEDGER

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear)

As of 17 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.16288.

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

pith.paper-citation-record.v1
2607.16288 v1

Coverage vector

measured 32 of 32 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T07:18:17.198335Z

measured 32 of 32 standing notices

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32 of 32 outbound references displayed

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Outbound references

Observation 14cf36b6-8106-4bc1-83f7-3023c87af5fc · outbound

This paper cites A review of geometric dimensioning and tolerancing (gd&t) of additive manufacturing and powder bed fusion lattices.Progress in additive manufacturing, 7(6):1297–1305, 2022.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) A review of geometric dimensioning and tolerancing (gd&t) of additive manufacturing and powder bed fusion lattices.Progress in additive manufacturing, 7(6):1297–1305, 2022

Reference 1

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Observation cb23a8e2-2026-408a-bfa4-b3a8f17ca7be · outbound

This paper cites an unresolved cited work.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Unresolved cited work

Reference 2

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Observation f480d098-7b3c-4805-ae66-23529d08eb7a · outbound

This paper cites Optical metrology for digital manufacturing: a review.The International Journal of Advanced Manufacturing Technology, 120(7):4271– 4290, 2022.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Optical metrology for digital manufacturing: a review.The International Journal of Advanced Manufacturing Technology, 120(7):4271– 4290, 2022

Reference 3

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Observation 3e9ded88-ec44-4ee0-9435-39e2cce4bac9 · outbound

This paper cites Research on product surface quality inspection technology based on 3d point cloud.Advances in Mechanical Engineering, 15(3):16878132231159523, 2023.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Research on product surface quality inspection technology based on 3d point cloud.Advances in Mechanical Engineering, 15(3):16878132231159523, 2023

Reference 4

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Observation 7d07fd75-5833-4bb4-8081-169b6769dfcc · outbound

This paper cites Data-driven intelligent 3d surface measurement in smart manufacturing: review and outlook.Machines, 9(1):13, 2021.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Data-driven intelligent 3d surface measurement in smart manufacturing: review and outlook.Machines, 9(1):13, 2021

Reference 5

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Observation 2ebe4ce4-2668-44e4-9eda-c84155739b32 · outbound

This paper cites Tooth bending fatigue failures in gears.Engineering Failure Analysis, 3(3):219–225, 1996.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Tooth bending fatigue failures in gears.Engineering Failure Analysis, 3(3):219–225, 1996

Reference 6

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Observation 87540d49-0f5a-4679-b8f2-f5a4dce495b3 · outbound

This paper cites Surface contact fatigue failures in gears.Engineering Failure Analysis, 4(2):99–107, 1997.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Surface contact fatigue failures in gears.Engineering Failure Analysis, 4(2):99–107, 1997

Reference 7

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Observation 682bdcfc-bcb7-44cc-8d78-f205319b6484 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 8

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Observation 256ad70d-54a9-4cdc-be29-251b79c97fd7 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017

Reference 9

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Observation 9d1dbd25-2d07-4e78-b8b8-86b3ec2a387c · outbound

This paper cites Spotting the unexpected (stu): A 3d lidar dataset for anomaly segmentation in autonomous driving.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Spotting the unexpected (stu): A 3d lidar dataset for anomaly segmentation in autonomous driving

Reference 10

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Observation 54944b74-51db-458c-b617-16c007933aae · outbound

This paper cites Visual point cloud forecasting enables scalable autonomous driving.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Visual point cloud forecasting enables scalable autonomous driving

Reference 11

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Observation 6cf80e54-19f3-49fb-a582-4aedecf03fa8 · outbound

This paper cites Lift3d policy: Lifting 2d foundation models for robust 3d robotic manipulation.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Lift3d policy: Lifting 2d foundation models for robust 3d robotic manipulation

Reference 12

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Observation ed33dd1a-1f47-4914-bafb-8c2566d990d0 · outbound

This paper cites Anygrasp: Robust and efficient grasp perception in spatial and temporal domains.IEEE Transactions on Robotics, 39(5):3929–3945, 2023.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Anygrasp: Robust and efficient grasp perception in spatial and temporal domains.IEEE Transactions on Robotics, 39(5):3929–3945, 2023

Reference 13

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Observation 3f95725f-1c1c-42f9-85ae-506155b0590f · outbound

This paper cites Advancements in point cloud-based 3d defect classification and segmentation for industrial systems: A comprehensive survey.Information Fusion, 112:102575, 2024.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Advancements in point cloud-based 3d defect classification and segmentation for industrial systems: A comprehensive survey.Information Fusion, 112:102575, 2024

Reference 14

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Observation 6c32c7d9-bcfb-4419-8624-f8c71897670b · outbound

This paper cites A comprehensive survey for real-world industrial surface defect detection: Challenges, approaches, and prospects.Journal of Manufacturing Systems, 84:152–172, 2026.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) A comprehensive survey for real-world industrial surface defect detection: Challenges, approaches, and prospects.Journal of Manufacturing Systems, 84:152–172, 2026

Reference 15

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Observation 29287c11-adc6-40b7-b38c-6264e462008d · outbound

This paper cites an unresolved cited work.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Unresolved cited work

Reference 16

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Observation 93a312d8-95a2-48d8-991d-08780c27d404 · outbound

This paper cites Iec3d-ad: A 3d dataset of industrial equipment components for unsupervised point cloud anomaly detection.arXiv preprint arXiv:2511.03267, 2025.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Iec3d-ad: A 3d dataset of industrial equipment components for unsupervised point cloud anomaly detection.arXiv preprint arXiv:2511.03267, 2025

Reference 17

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Observation ae26a25c-dc25-4ff4-8cbe-67b0135dd41b · outbound

This paper cites Synthetic data generation in smart manufacturing applications: A systematic review.SSRN Electronic Journal, preprint.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Synthetic data generation in smart manufacturing applications: A systematic review.SSRN Electronic Journal, preprint

Reference 18

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Observation 7db0804c-d028-4679-a6a4-8af8d9b0d9a4 · outbound

This paper cites Enhancing manufacturing operations with synthetic data: a systematic framework for data generation, accuracy, and utility.Frontiers in Manufacturing Technology, 4:1320166, 2024.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Enhancing manufacturing operations with synthetic data: a systematic framework for data generation, accuracy, and utility.Frontiers in Manufacturing Technology, 4:1320166, 2024

Reference 19

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Observation a0034d22-e9e7-4f04-9cc8-9189d4fae565 · outbound

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A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Unresolved cited work

Reference 20

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Observation f84bd0e8-9b3b-4002-972e-17d19fe96e46 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) 3d shapenets: A deep representation for volumetric shapes

Reference 21

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Observation 86fb6b13-05a1-45b7-b724-f42dbe19e664 · outbound

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

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) ShapeNet: An Information-Rich 3D Model Repository

Reference 22

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Observation d931bc95-c7a7-43dd-93b7-76032cc7e838 · outbound

This paper cites Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data

Reference 23

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

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

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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Observation 720a69a6-0716-4fcd-9283-2e8398296617 · outbound

This paper cites Real3d-ad: A dataset of point cloud anomaly detection.Advances in Neural Information Processing Systems, 36:30402–30415, 2023.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Real3d-ad: A dataset of point cloud anomaly detection.Advances in Neural Information Processing Systems, 36:30402–30415, 2023

Reference 25

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Observation c363c834-05a6-4a79-99f5-2171a5b96b8b · outbound

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

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Towards scalable 3d anomaly detection and localization: A benchmark via 3d anomaly synthesis and a self-supervised learning network

Reference 26

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Observation 006b39df-3b13-4710-b8a8-863e55ea7fe9 · outbound

This paper cites Defect detection of gear parts in virtual manufacturing.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Defect detection of gear parts in virtual manufacturing

Reference 27

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Observation 58f7f6f1-f7f7-45c0-8e92-dd0053624726 · outbound

This paper cites Deep learning of 3d point clouds for detecting geometric defects in gears.Manufacturing Letters, 41:1324–1333, 2024.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Deep learning of 3d point clouds for detecting geometric defects in gears.Manufacturing Letters, 41:1324–1333, 2024

Reference 28

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Observation 869be182-06d6-4e12-99e7-2d75d4712edd · outbound

This paper cites International Standard ISO 1328-1:2013, International Organization for Standardization, Geneva, Switzerland, September 2013.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) International Standard ISO 1328-1:2013, International Organization for Standardization, Geneva, Switzerland, September 2013

Reference 29

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Observation 45b972b5-ecec-48ad-8ab6-9cff03fae649 · outbound

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A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Unresolved cited work

Reference 30

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Observation ad4429da-6d46-4aed-b2d0-6e261d6d441b · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Open3D: A Modern Library for 3D Data Processing

Reference 31

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Observation d6a5b5e9-f6d5-4b79-ae2f-c9300bdb8bcb · outbound

This paper cites Harris, K.

A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear) Harris, K

Reference 32

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