Paper Citation Record · LEDGER

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

As of 7 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

Typed states for the displayed outbound observations.

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

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

32 of 32 outbound references displayed

verified exact1
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:12.913454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:12.986261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:13.069024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:13.141143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:13.223542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:13.273498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:13.349457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:13.449059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:13.499777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:13.577529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:13.659722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:13.836046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:14.007505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:14.217831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:14.352851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:14.473914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:14.701978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; doi, observed 2026-08-02T07:19:09.817961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:14.986350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites an unresolved cited work.

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

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:15.130137Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:15.217427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:15.382027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:15.585565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:15.797272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:15.969599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:16.172742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:16.393483Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:16.569865Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:16.782804Z

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

This paper cites an unresolved cited work.

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

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:16.890217Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:17.032195Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T07:18:17.198335Z

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Pith citing papers

No inbound Pith citation observations are available.