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Paper Citation Record · LEDGER

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2507.02963.

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

pith.paper-citation-record.v1
2507.02963 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:51.093745Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61c12a51-ca76-47ed-9638-e6a8fe8e6cdc · outbound

This paper cites Challenges and opportunities to enable large-scale computing via heterogeneous chiplets,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Challenges and opportunities to enable large-scale computing via heterogeneous chiplets,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:53.993164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:48.943122Z digest=sha256:1214c44bece536646750d865f77125a351fd4681e587a70729e14258c1be9c47

Observation 675c7e5d-6631-4dc8-afae-2fc24bd04bda · outbound

This paper cites Chip surface character detection system based on machine vision,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Chip surface character detection system based on machine vision,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:53.908400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:49.042500Z digest=sha256:95e07a9b375177b142e907318fc4dbc4d86acf1890d98b149afddeb0697ba30c

Observation e0f28aa5-1d2f-4cf4-8611-2e4086fd24ff · outbound

This paper cites Deep learning-enhanced defects detection for printed circuit boards,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Deep learning-enhanced defects detection for printed circuit boards,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:53.823540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:49.176336Z digest=sha256:f16c5115cb8d5baec29dbfafff248565cd3a6f03996806c972f558bb98f40ac4

Observation 6d23bc8e-1278-49f6-876e-d2680248a243 · outbound

This paper cites Defect detection model of printed circuit board components based on the fusion of multi-scale features and efficient channel attention mechanism,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Defect detection model of printed circuit board components based on the fusion of multi-scale features and efficient channel attention mechanism,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:53.695550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:49.259393Z digest=sha256:30fe9ab474310b50c155a66f52e720734e55c91d1b9596f26ab2c20b3e85e975

Observation e16e0943-7636-482a-9bde-85b824b3fb5f · outbound

This paper cites Real-time detection of insulator defects with channel pruning and channel distillation,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Real-time detection of insulator defects with channel pruning and channel distillation,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:53.605198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:49.399237Z digest=sha256:c71de0ad0db347d199d64ad8586cbdc1334ae87a33af28fa0e3ad5a4c906e6d6

Observation a49be731-68a9-4337-a24d-05b48641ef71 · outbound

This paper cites MuSAP-GAN: printed circuit board defect detection using multi-level attention-based printed circuit board with generative adver- sarial network,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO MuSAP-GAN: printed circuit board defect detection using multi-level attention-based printed circuit board with generative adver- sarial network,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:53.436266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:49.507009Z digest=sha256:07ce9b185cad511219e3d55a71a77612683957146da451483d31e9e18c107a9e

Observation 543b79c6-1ffb-42d4-bebe-4e238a1c5c75 · outbound

This paper cites Improved printed circuit board defect detection scheme,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Improved printed circuit board defect detection scheme,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:53.270006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:49.586855Z digest=sha256:08016d416c240321d5a29b673a481754c5cd03f0effe3b46b137ce3311a478af

Observation 2172fbee-a9ea-47c7-90a0-145ab7acf55f · outbound

This paper cites GS-YOLO: A lightweight identification model for precision parts,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO GS-YOLO: A lightweight identification model for precision parts,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:53.089494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:49.657721Z digest=sha256:25e521c77f735da1dd0deec19cc7d2d409b97e825c49350b29f554657168a3f5

Observation 2cf211e8-3dea-49d7-8d22-1af6fe4cb35e · outbound

This paper cites FDDC- YOLO: an efficient detection algorithm for dense small-target solder joint defects in PCB inspection,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO FDDC- YOLO: an efficient detection algorithm for dense small-target solder joint defects in PCB inspection,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:52.950160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:49.728852Z digest=sha256:8179b6dfa2b680c6c2ec2a02e16c81742e56b26fec03f70e6863c702f0c0d189

Observation 048f8265-f24e-4396-a321-494222a28bc3 · outbound

This paper cites Early diagnosis of oral cancer using image processing and artificial intelligence.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Early diagnosis of oral cancer using image processing and artificial intelligence

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:52.782141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:49.839339Z digest=sha256:d008bf5a526a5e15161dda53e73ca368701b8ea4acab134ba445791f6fa5d1ad

Observation 7d0449d5-b5bb-4d82-ad6d-1fd14f815b2a · outbound

This paper cites A comparative study of YOLO models for sperm and impurity detection based on proposed augmentation in small dataset,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO A comparative study of YOLO models for sperm and impurity detection based on proposed augmentation in small dataset,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:52.662904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:49.915594Z digest=sha256:a63ea8b017f87d9aff79ae74750f3ce1fcc835fd20a621dff14a5a3d5bd5313c

Observation f7487e91-efbe-47c0-8736-493fa7895a9d · outbound

This paper cites Distance-IoU loss: Faster and better learning for bounding box regression,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Distance-IoU loss: Faster and better learning for bounding box regression,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:52.547289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:50.014362Z digest=sha256:9a0ed1f6a1162ee9f5f7af0d6cec7f45bb1f20390c3925dcd589118f541df466

Observation ead0395b-9570-49b4-b6db-a6f296b37981 · outbound

This paper cites Focal and efficient iou loss for accurate bounding box regression,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Focal and efficient iou loss for accurate bounding box regression,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:52.415278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:50.115446Z digest=sha256:68c2394083a33e74f8309d2138d8c3e97a3a2a94def3a864eedb66ab64c24cf8

Observation 2fd1a18a-0a9c-49d7-b225-7c69de0ebcc5 · outbound

This paper cites SIoU Loss: More Powerful Learning for Bounding Box Regression.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO SIoU Loss: More Powerful Learning for Bounding Box Regression

Reference 14

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unresolved
no resolver link, observed 2026-08-06T21:36:50.240531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:50.240531Z digest=sha256:a5ad32b0fb1a81a01b5fe635213ca86c33995fab4e4421be27f05366196abfc9

Observation 16e0cbe8-6c4a-4ad2-886f-3d0b395c20e5 · outbound

This paper cites Show, attend and tell: Neural image caption generation with visual attention,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Show, attend and tell: Neural image caption generation with visual attention,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:52.199447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:50.316207Z digest=sha256:469c305bf1434d762eb86791568a6e0f68a9949350a9d95ef26b10d1a0904226

Observation 81f7d690-3580-4cee-b923-c68592ce802e · outbound

This paper cites Squeeze-and-excitation networks,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Squeeze-and-excitation networks,

Reference 16

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unresolved
no resolver link, observed 2026-08-06T21:36:50.409236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:50.409236Z digest=sha256:e4bb09f05cd4ed5641726ecdafbaca14535b8f1bf0e72c0c682ae93d0c597db3

Observation 05ae486d-351e-4443-b9a2-a20869fce233 · outbound

This paper cites Cbam: Convolutional block attention module,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Cbam: Convolutional block attention module,

Reference 17

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no resolver link, observed 2026-08-06T21:36:50.494410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:50.494410Z digest=sha256:a5421e4402a68c3e3852f5e3b2078504e9bca4d998ea14aa12d654a400a6618d

Observation 4e3e8c38-5149-494e-84fe-2c0d62e53327 · outbound

This paper cites an unresolved cited work.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Unresolved cited work

Reference 18

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unresolved
raw_fallback, observed 2026-08-06T21:36:52.056807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:50.587286Z digest=sha256:92e58036923ed4d32551b8a0a54cd13eabdbc3e61af5eb908fc3788bbaea5853

Observation a9c1664e-6a4e-4997-8c6c-8acf5ac6faad · outbound

This paper cites Ultralytics yolov8,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Ultralytics yolov8,

Reference 19

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unresolved
no resolver link, observed 2026-08-06T21:36:50.656382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:50.656382Z digest=sha256:c3215980b611205eb158deab45367bc38c595e5552e8d30d1a9ee320d9e48d7c

Observation 94a91200-3b95-4d58-80ab-3b97fbbf93bb · outbound

This paper cites An enhanced network model for PCB defect detection: CDS-YOLO,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO An enhanced network model for PCB defect detection: CDS-YOLO,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:51.830327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:50.772379Z digest=sha256:bd135348bd6f7725fd5b641831306f511da6a6acc5e4fd36b1edaec6479c617c

Observation 6da12d72-6f9c-47f0-9fa7-e01805cb5071 · outbound

This paper cites DsP-YOLO: An anchor-free network with DsPAN for small object detection of multiscale defects,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO DsP-YOLO: An anchor-free network with DsPAN for small object detection of multiscale defects,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:51.678165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:50.905249Z digest=sha256:9b94952fd41ec1ed936162e8ebb7b9e8c7a2b9857334fee678b21ae2435497f9

Observation c0180678-d541-44e7-86f0-e2f78235846c · outbound

This paper cites Lightweight target detection: An improved YOLOv8 for small target defect detection on printed circuit boards,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO Lightweight target detection: An improved YOLOv8 for small target defect detection on printed circuit boards,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:51.481142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:51.004223Z digest=sha256:37fcc7bba6a83bc498b226a44db0a99a8b480480da220fb5b454ed4d0f4f0932

Observation 8ae74835-573c-4136-8f3d-cda1269e3779 · outbound

This paper cites SSHP-YOLO: A high precision printed circuit board (PCB) defect detection algorithm with a small sample,.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO SSHP-YOLO: A high precision printed circuit board (PCB) defect detection algorithm with a small sample,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:51.296215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:36:51.093745Z digest=sha256:a45700c40bbf755dfcac94bf1a5e9fa89c4c224937aa0dac25e3015bfa86507c

Pith citing papers

No inbound Pith citation observations are available.