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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:48.943122Z digest=sha256:c646d045e8de13ab2263e4d8f844503a81adcd10b2c33fe6fc0ce6de7d4fb522

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:49.042500Z digest=sha256:a6b11c20c17cdc45649c4a13ab087c0b0f2d385ff8e58d88c2df146aa2070d6f

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:49.176336Z digest=sha256:18fc2310d88c10027abf55416d3df3e6cb9f561fb467d22e49bd8d87f022910b

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:49.259393Z digest=sha256:7cacbd2a50003e0d7114b14880a8b08b13fd2a6ca038c1556c3455513427adec

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:49.399237Z digest=sha256:217154ac6693fd4668d8f9e2b24974ad65d71d05840363ae3a59102c1dc3d68e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:49.507009Z digest=sha256:9eafbd04a9864edbfa5884429b08f686cbd934c42bf7d83031554f10dd454f06

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:49.586855Z digest=sha256:85f466eeb2cc067d3cc0fe9225775b1999b51bb9387242724373ba27e3199ae7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:49.657721Z digest=sha256:93fbfd001b18ed54755e044afccac18c6b917370e8cf7430a907061e5c894ee1

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:49.728852Z digest=sha256:58d852426ea620f82d3536904eef90c22039a95d7947be55401f534d60fd771d

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:49.839339Z digest=sha256:2bf0435ca0f1cf14cc6727d2b511f2dc620cae5313aadcc57ef4a847770b3a57

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:49.915594Z digest=sha256:a4585a76266a3627b5afe162e7fed9dee9b8d5b78033144f5ef82b4df5a6b1ee

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:50.014362Z digest=sha256:d5ca0440182ad4d00fb178124944b873e185f80724da8fd5dcecee3eefaacee2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:50.115446Z digest=sha256:1ae5c55e7435757ea6516d6e6b03b41f9a1c0ed211452e60e0034bd017003513

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:50.316207Z digest=sha256:9e4078753b023c4ef6be2ffd8e701069c44aa854d0ea62dc6605e94f627ae264

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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unresolved
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:50.587286Z digest=sha256:a155c767ef3639cd98d48fdeefece282e4745752136ed11a874ead2ad41e37cd

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

Resolution
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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:50.772379Z digest=sha256:6d134a333f412a100d82276b3dc6ed4e65a767ded6d710d4d23677f6151551ad

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:50.905249Z digest=sha256:d08b29cc8cc0ac8acafdf2d38fa32aebd11f62e30eb855ba7e409ccc08870619

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:51.004223Z digest=sha256:ba569b003a98f31e67666750dd741ad57dbd1771ef52a33d367aa116e7687497

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:36:51.093745Z digest=sha256:5843cdd3899eacda6485625c04598fa1d803046ad03d2114ea79d59565d935f2

Pith citing papers

No inbound Pith citation observations are available.