Paper Citation Record · LEDGER

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection

As of 7 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.27065.

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

pith.paper-citation-record.v1
2607.27065 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:10:30.896498Z

measured 40 of 40 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

40 of 40 outbound references displayed

verified exact0
verified fuzzy0
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3cf0e280-92bc-4103-a5e9-c39c290d15f4 · outbound

This paper cites A review of metal surface defect detection technologies in industrial applications.IEEE Access, 13:48380–48400, 2025.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection A review of metal surface defect detection technologies in industrial applications.IEEE Access, 13:48380–48400, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:25.919292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46cfc09a-6b7c-434f-8938-e7b64f7e6373 · outbound

This paper cites Newman and Anil K.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Newman and Anil K

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:26.064555Z

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Observation fcc42638-e32c-48f3-8fd4-a4d0bd670f77 · outbound

This paper cites An automatic surface defect inspection system for automobiles using machine vision methods.Sensors, 19(3), 2019.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection An automatic surface defect inspection system for automobiles using machine vision methods.Sensors, 19(3), 2019

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:26.165289Z

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Observation bb213512-9e50-4d11-8ad8-204b2efdc9c4 · outbound

This paper cites Surface defect detection methods for industrial products: A review.Applied Sciences, 11(16), 2021.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Surface defect detection methods for industrial products: A review.Applied Sciences, 11(16), 2021

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:26.171603Z

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Unavailable: canonical work link unavailable.

Observation 480e93f9-f49d-49b6-aaf4-639515d81985 · outbound

This paper cites Blenderproc, 2019.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Blenderproc, 2019

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:26.238136Z

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Unavailable: canonical work link unavailable.

Observation 78af1dc7-691c-4d6c-b794-a6d3be5e9bd6 · outbound

This paper cites Strobl, Matthias Humt, and Rudolph Triebel.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Strobl, Matthias Humt, and Rudolph Triebel

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:26.414232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4fa70b3-43c7-4f28-9cec-19f3bd72825d · outbound

This paper cites Nvidia isaac sim: Enabling scalable, gpu- accelerated simulation for robotics, 2026.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Nvidia isaac sim: Enabling scalable, gpu- accelerated simulation for robotics, 2026

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:26.529514Z

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Unavailable: canonical work link unavailable.

Observation eee61ae7-ded1-456a-9322-bcb9b6f49533 · outbound

This paper cites A survey of synthetic data augmentation methods in machine vision.Machine Intelligence Research, 21(5):831–869, 2024.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection A survey of synthetic data augmentation methods in machine vision.Machine Intelligence Research, 21(5):831–869, 2024

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:26.691658Z

Source-reported events for the cited work

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Observation 64138c7e-48f7-4e09-9889-17d29866d9ac · outbound

This paper cites Synthetic data augmentation for surface defect detection and classification using deep learning.Journal of Intelligent Manufacturing, 33(4):1007– 1020, 2022.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Synthetic data augmentation for surface defect detection and classification using deep learning.Journal of Intelligent Manufacturing, 33(4):1007– 1020, 2022

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:26.828673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c43c4aad-1e97-4eff-82b8-a3e8455fdf22 · outbound

This paper cites Lawrence Zitnick.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Lawrence Zitnick

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:27.032539Z

Source-reported events for the cited work

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Observation 5005515c-e380-445e-b00d-2b1a93a4a380 · outbound

This paper cites Yolox: Exceeding yolo series in 2021, 2021.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Yolox: Exceeding yolo series in 2021, 2021

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:27.154078Z

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Observation 864fedb8-090e-43ad-8c79-9976e81c8240 · outbound

This paper cites Ultralytics yolo26: Unified real-time end-to-end vision models, 2026.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Ultralytics yolo26: Unified real-time end-to-end vision models, 2026

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:27.279291Z

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Observation 561b4f91-2f4f-4316-b6c8-80a38a168ad2 · outbound

This paper cites LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:27.436862Z

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Observation a1d851ac-e058-41b1-99eb-5b52998e2825 · outbound

This paper cites Review of surface-defect detection methods for industrial products based on machine vision.IEEE Access, 13:90668–90697, 2025.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Review of surface-defect detection methods for industrial products based on machine vision.IEEE Access, 13:90668–90697, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:27.567775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db2aed12-02df-4b8e-a943-dedfa7676cd7 · outbound

This paper cites Defect detection methods for industrial products using deep learning techniques: A review.Algorithms, 16(2), 2023.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Defect detection methods for industrial products using deep learning techniques: A review.Algorithms, 16(2), 2023

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:27.648006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35267242-d209-4921-85d9-f225f60103b6 · outbound

This paper cites Real-time human pose recognition in parts from single depth images.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Real-time human pose recognition in parts from single depth images

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:27.758842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5282554b-94f0-4f0a-be1b-2a13444bb280 · outbound

This paper cites Synthetic dataset generation methods for computer vision application.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Synthetic dataset generation methods for computer vision application

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:27.871098Z

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Observation 574e76ed-0b7a-42b8-b9bf-fc108de2c6d8 · outbound

This paper cites de Melo, Antonio Torralba, Leonidas Guibas, James DiCarlo, Rama Chellappa, and Jessica Hodgins.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection de Melo, Antonio Torralba, Leonidas Guibas, James DiCarlo, Rama Chellappa, and Jessica Hodgins

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:27.966642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4538f49-39f4-4d57-918b-2d84f9e208a4 · outbound

This paper cites Investigating the generation of synthetic data for surface defect detection: A comparative analysis.Procedia CIRP, 130:767–773, 2024.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Investigating the generation of synthetic data for surface defect detection: A comparative analysis.Procedia CIRP, 130:767–773, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:28.040801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6333667-e87b-490c-8e75-7dc401394451 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection High-resolution image synthesis with latent diffusion models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:28.133959Z

Source-reported events for the cited work

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Observation dc4b6f63-981a-455e-b0da-cda4592eb2df · outbound

This paper cites Improving image generation with better captions.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Improving image generation with better captions

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:28.230834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71645b43-4a1d-4ddf-9841-c3919f07ec1e · outbound

This paper cites Synsur: An end-to-end generative pipeline for synthetic industrial surface defect generation and detection, 2026.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Synsur: An end-to-end generative pipeline for synthetic industrial surface defect generation and detection, 2026

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:28.320919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c036d8bb-1f48-472a-af2d-327799b0dc8d · outbound

This paper cites Material classification based on training data synthesized using a btf database.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Material classification based on training data synthesized using a btf database

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:28.404892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3632fcd7-f1b5-4e55-9959-933f32cc7c45 · outbound

This paper cites an unresolved cited work.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:28.519611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8acf87f8-3a14-4414-8ae5-97e3504caa0e · outbound

This paper cites Domain randomiza- tion for transferring deep neural networks from simulation to the real world.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Domain randomiza- tion for transferring deep neural networks from simulation to the real world

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:28.611666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de58cffd-c5db-49b8-8f8d-6ce74056af11 · outbound

This paper cites Training deep networks with synthetic data: Bridging the reality gap by domain randomization.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Training deep networks with synthetic data: Bridging the reality gap by domain randomization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:28.727060Z

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Observation ef1ed026-f607-4962-80d3-f64a7ee914a1 · outbound

This paper cites CARLA: An open urban driving simulator.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection CARLA: An open urban driving simulator

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:28.877299Z

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Observation 456df84d-2b37-495f-9c74-50e6a6a566d1 · outbound

This paper cites Virtual kitti 2, 2020.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Virtual kitti 2, 2020

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:29.040851Z

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Observation 27b38bcf-88c0-4ad0-b4d0-e1da7431fb3b · outbound

This paper cites Mixing real and synthetic data to enhance neural network training – a review of current approaches, 2020.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Mixing real and synthetic data to enhance neural network training – a review of current approaches, 2020

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:29.221072Z

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Unavailable: canonical work link unavailable.

Observation 2acf4071-7946-4c34-9ba6-4321d67fd3f9 · outbound

This paper cites Hybrid dnn training using both synthetic and real construction images to overcome training data shortage.Automation in Construction, 149:104771, 2023.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Hybrid dnn training using both synthetic and real construction images to overcome training data shortage.Automation in Construction, 149:104771, 2023

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:29.361703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd7024a5-1c5c-4c9a-a9e5-82e6ec0cfed4 · outbound

This paper cites You only look once: Unified, real-time object detection.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection You only look once: Unified, real-time object detection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:29.499778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e9d1acc-8593-4e26-b6a3-2c7c10cb4481 · outbound

This paper cites an unresolved cited work.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:29.725060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00c626fa-fdf3-464d-abc0-3df34192896f · outbound

This paper cites Yolo-v1 to yolo-v8, the rise of yolo and its complementary nature toward digital manufac- turing and industrial defect detection.Machines, 11(7), 2023.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Yolo-v1 to yolo-v8, the rise of yolo and its complementary nature toward digital manufac- turing and industrial defect detection.Machines, 11(7), 2023

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:29.879228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5793deeb-aabd-4418-8506-44ae90577fcf · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:30.054749Z

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Unavailable: canonical work link unavailable.

Observation 9c95bddb-4909-402d-a03a-609cb598d629 · outbound

This paper cites Fast r-cnn.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Fast r-cnn

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:30.207459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 962b4800-9ce6-47b8-ab09-d93b22018b77 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6):1137–1149, 2017.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6):1137–1149, 2017

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:30.358366Z

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Observation c541acfe-00be-4cbb-a356-f4d96652f843 · outbound

This paper cites 2022 ferrari daytona sp3.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection 2022 ferrari daytona sp3

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:30.516485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054e7ff4-af76-4bd7-9016-9199758140a6 · outbound

This paper cites Ferrari daytona sp3 2022.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Ferrari daytona sp3 2022

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:30.635152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2205cc42-9dd6-41b7-82bf-339e2f616ebf · outbound

This paper cites Bop challenge 2020 on 6d object localization.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection Bop challenge 2020 on 6d object localization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:30.761723Z

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Unavailable: canonical work link unavailable.

Observation 192f7ea7-494e-46ee-b277-0a767dc0def2 · outbound

This paper cites ambientcg - free textures, hdris and models, 2025.

ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection ambientcg - free textures, hdris and models, 2025

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T10:10:30.896498Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.