Paper Citation Record · LEDGER

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection

As of 7 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2507.23225.

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

pith.paper-citation-record.v1
2507.23225 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:02:10.019285Z

measured 22 of 22 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

22 of 22 outbound references displayed

verified exact9
verified fuzzy2
unresolved8
parse uncertain0
malformed identifier2
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a019bfd0-18e9-48e7-bc31-2aa4384a52f0 · outbound

This paper cites an unresolved cited work.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-06T11:02:10.133108Z

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 bead77b6-0ba3-4c23-b5de-ed1d858ad339 · outbound

This paper cites an unresolved cited work.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection Unresolved cited work

Reference 2

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T11:02:10.505928Z

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 50892d37-d198-4a91-8779-39942491e2f8 · outbound

This paper cites Infrastructures.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection Infrastructures

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:02:10.547481Z

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 71f7e754-1259-4836-b3ab-51944aa13d45 · outbound

This paper cites In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T11:02:09.950305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c8bc28-d5ac-4f52-8163-375c60e8d86c · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vi- sion and Pattern Recognition (CVPR), pp.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection In: Proceedings of the IEEE Conference on Computer Vi- sion and Pattern Recognition (CVPR), pp

Reference 5

Resolution: verified exact; doi, observed 2026-08-06T11:02:10.122871Z

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 16d065bd-f9b1-44bd-afe7-f9e1dd3bad4d · outbound

This paper cites In: Leonardis, A., et al.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection In: Leonardis, A., et al

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:02:10.537397Z

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 62978fb3-04c8-415f-bec2-042f2f5ab66c · outbound

This paper cites an unresolved cited work.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection Unresolved cited work

Reference 7

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T11:02:10.526994Z

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 d8107989-065a-4e01-8bd1-6f0e34691540 · outbound

This paper cites an unresolved cited work.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-08-06T11:02:10.111910Z

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 b90e4107-9cb3-47de-a45c-a2e0674b63b4 · outbound

This paper cites In: Leonardis, A., et al.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection In: Leonardis, A., et al

Reference 9

Resolution: verified exact; doi, observed 2026-08-06T11:02:10.101819Z

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 c65f0203-7bb1-43ca-893f-366b60cade5b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-06T11:02:10.337181Z

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 74d645b9-894e-4cc1-9868-2623836c86ad · outbound

This paper cites IEEE Trans.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection IEEE Trans

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T11:02:09.975965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f7b3a2-88f7-4f12-bb13-5de2c1a27c20 · outbound

This paper cites What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection What is YOLOv8: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T11:02:09.979601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 705cafe3-c970-4088-a425-57fa534fff6c · outbound

This paper cites YOLOv10: Real-Time End-to-End Object Detection.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection YOLOv10: Real-Time End-to-End Object Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T11:02:09.983601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d7e7c4-9dd2-4e5d-8ae9-ff97f3e570fd · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 15

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-06T11:02:10.194243Z

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 a7c5876a-a8a8-4039-bbdc-1f85a7ecae75 · outbound

This paper cites Park, J., Lee, J.-Y., Kweon, I.S.: CBAM: Con- volutional Block Attention Module.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection Park, J., Lee, J.-Y., Kweon, I.S.: CBAM: Con- volutional Block Attention Module

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:02:09.993952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df90c4ea-4260-4f22-8c04-1e7983bcdf4b · outbound

This paper cites an unresolved cited work.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection Unresolved cited work

Reference 17

Resolution: verified exact; doi, observed 2026-08-06T11:02:10.084617Z

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 a9f351ea-d12b-4da1-8107-4fd5ccb80335 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:02:10.000938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65cf6772-96ee-4a87-b394-24d714c869d7 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T11:02:10.004604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a759a656-c1d1-4038-bc52-68f13823cf47 · outbound

This paper cites RDD2022: A multi-national image dataset for automatic Road Damage Detection.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection RDD2022: A multi-national image dataset for automatic Road Damage Detection

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T11:02:10.008281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30908146-4b03-417f-9bcd-2031f0a18e15 · outbound

This paper cites an unresolved cited work.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection Unresolved cited work

Reference 21

Resolution: verified exact; doi, observed 2026-08-06T11:02:10.060656Z

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 3ae361e2-cda3-466a-8850-72fdf3eb6de8 · outbound

This paper cites la/lultimed.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection la/lultimed

Reference 22

Resolution: verified exact; doi, observed 2026-08-06T11:02:10.049625Z

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 2fa455c6-499d-41ba-8114-5370a9e2a80b · outbound

This paper cites an unresolved cited work.

YOLO-ROC: A High-Precision and Ultra-Lightweight Model for Real-Time Road Damage Detection Unresolved cited work

Reference 23

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T11:02:10.516554Z

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.

Pith citing papers

No inbound Pith citation observations are available.