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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:48.943122Z digest=sha256:e87b14c9fe669a709dc3e769ac1d09e6fcba0f08cf60489b4d0054972b59f32a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:49.042500Z digest=sha256:3d1c555ea765a826c854b434a783eaaf2cf14dbcf6c4222739b2ee858b8330dc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:49.176336Z digest=sha256:ab4ff25cc5d32ee3b8776e36459ee45dbd0835553fed425f86b898f66eebff25

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:49.259393Z digest=sha256:88b7e6235535919336dabf58278bf7832ec2c81ebe227dd7b4f1eb7a12062a97

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:49.399237Z digest=sha256:0a74aaa9ec571ebfc6eceb5370c2355aacdfbb3a00796c27d6928784eb090302

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:49.507009Z digest=sha256:afafe80ab3fb5f1405fadecf3a6d9c1149d1ad4119b2d0c70e70eaa0c899725f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:49.586855Z digest=sha256:46fee5f1be3e08445ab4ac77675572d654397cafafb073feb5143b04f3dd045c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:49.657721Z digest=sha256:d6a6e42bec1b283fb536259e62c76066691dd7e1d8064844c4930797d335acb1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:49.728852Z digest=sha256:c2f18d7d818a85f05dce4cfc9d7dce2238b1d1b1bc21d4c41ca380b9cb3cb7a4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:49.839339Z digest=sha256:20c35035b2574587b39fbc7b7f865e617a69c30e39083a06adb146937d66e684

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:49.915594Z digest=sha256:97b3e5c6a808eb233a939bf489e99d334b0f7e3022cca97e2f2d50235aa1074a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:50.014362Z digest=sha256:765a84ef131346462c03fca54ac45f9cd0ffaeda91c3dbc2d6a4b45876bc8fac

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:50.115446Z digest=sha256:a944cb45d0fa52ddbf6a3544236c78f83d42c6643e133ed40b6edd1e64356616

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=sha256:2b287f7a8697251426f04ca50f493e8c374bc93dcc1a4f190390eaa611b787c7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:50.316207Z digest=sha256:64adf5c884aae5e5b69ea4ef64108f008bd7c25adf2b494f6bd524649c07c3ca

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=sha256:67fea573ba8dba8056189c4d851f0e8d79a56bb87823c1a7895d0d76602b899e

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:adadb3cb9c8c91af8e7423a3045dd7d109c70a9da0807ad9477af3fef71a5b5b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:50.587286Z digest=sha256:71ea59f083ae5263b8a1478a72436437c4854d964f70e6e7f3d70557f42d4cab

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=sha256:9f562fad09cd6906710e9f4d045b0756308786cc32d11164e205541349f98bdc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:50.772379Z digest=sha256:ebbf23d3a05e5827c5dcfa23d6f05a5ae4a57391e450d07574a8432ef810c98d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:50.905249Z digest=sha256:c83c20c56ffd6603f8c7592b45ff29b1da1a1af761922f6d3203a565c1c69826

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:51.004223Z digest=sha256:80b5155e239ba2c4238ecd9139146342fa8992b95c117fa1a0a85463176c2c05

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:36:51.093745Z digest=sha256:b8e98ec9c9e2bb1299d318b2ae2482821db8a3d529c5a155e6c81276b4f4f0ca

Pith citing papers

No inbound Pith citation observations are available.