Paper Citation Record · LEDGER

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2412.04931.

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

pith.paper-citation-record.v1
2412.04931 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:13:30.981810Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy24
unresolved10
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b429925-a437-46a6-bc3e-e7542f42f868 · outbound

This paper cites https://www.flir.in/oem/ adas/adas-dataset-form (2018).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection https://www.flir.in/oem/ adas/adas-dataset-form (2018)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:32.158579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ae59ece-2859-4135-afc4-e77314dde6b9 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:30.293639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c29cea9c-38be-42f8-b51a-2cc7518aed18 · outbound

This paper cites In: European conference on computer vision.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: European conference on computer vision

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:32.125841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 28d739ba-3e48-4d91-8488-db443b215c11 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:30.309596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5c991e2-f286-4523-a02b-aeba3300c741 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 59(11), 9813–9824 (2021).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection IEEE Transactions on Geoscience and Remote Sensing 59(11), 9813–9824 (2021)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:32.104594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a6da5dd9-417c-4e4c-a85f-4546cc437003 · outbound

This paper cites Infor- mation Fusion50, 148–157 (2019).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Infor- mation Fusion50, 148–157 (2019)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:32.060299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 426d36bb-e7f6-41db-9efa-590239d51bac · outbound

This paper cites IEEE Geoscience and Remote Sensing Letters 19, 1–5 (2022).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection IEEE Geoscience and Remote Sensing Letters 19, 1–5 (2022)

Reference 7

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T21:13:31.196094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c980f134-d44f-4f12-a3f2-50d5aca8a25a · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:30.337963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab8b6f2-2819-4747-afdf-378608522110 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:30.341539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a41e9053-8f2e-4ac9-9da3-0632ef5450ac · outbound

This paper cites In: Proceedings of the IEEE/CVF international con- ference on computer vision.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: Proceedings of the IEEE/CVF international con- ference on computer vision

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.842528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 558fafc8-eed4-4cd5-b382-6d1fabffe5e8 · outbound

This paper cites https://doi.org/10.5281/ zenodo.3908559, https://github.com/ultralytics/yolov5.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection https://doi.org/10.5281/ zenodo.3908559, https://github.com/ultralytics/yolov5

Reference 11

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T21:13:31.793746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7af1c365-d4e2-4d99-8477-1c1ce2d8f751 · outbound

This paper cites https://github.com/ultralytics/ultralytics (2024).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection https://github.com/ultralytics/ultralytics (2024)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.778089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2a3e1dc9-9bb3-4dda-ba0e-51b147428d59 · outbound

This paper cites In: European conference on computer vision.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: European conference on computer vision

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.764749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7ff8fc36-f145-43f9-bc53-4a14119b9b97 · outbound

This paper cites Pattern Recognition85, 161–171 (2019).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Pattern Recognition85, 161–171 (2019)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.750659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d97b40a5-a59c-4024-93f4-1f960ba23dcd · outbound

This paper cites Multispectral Deep Neural Networks for Pedestrian Detection.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Multispectral Deep Neural Networks for Pedestrian Detection

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:30.392003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 121a3eaa-e65c-4bb1-931e-0d6c4f00083b · outbound

This paper cites In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:30.513574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed1d86b2-4ddb-4ac8-b869-bf974dd461c5 · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology32(1), 105–119 (2021).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection IEEE Transactions on Circuits and Systems for Video Technology32(1), 105–119 (2021)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:30.655762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad7e94c6-4117-46ca-b420-5771d111804f · outbound

This paper cites an unresolved cited work.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:30.705864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7450ccf0-527f-48f9-9b39-580f4300cb97 · outbound

This paper cites IEEE/CAA Journal of Automatica Sinica9(7), 1200–1217 (2022).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection IEEE/CAA Journal of Automatica Sinica9(7), 1200–1217 (2022)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.718419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 054af88d-1282-45f8-b2e2-e2a143a15918 · outbound

This paper cites Pattern Recognition80, 143–155 (2018).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Pattern Recognition80, 143–155 (2018)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.706443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 97267956-9feb-4636-84fd-7a0b8123e884 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.657315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0501228f-4091-4e42-bfca-1cf15f84d466 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.551043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dd6b150a-66f1-4fd5-88fb-35eb53908b05 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.537869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9314e92a-11c0-4eed-a92a-74bb1b81ae34 · outbound

This paper cites In: Proceedings of the 30th ACM International Conference on Multimedia.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: Proceedings of the 30th ACM International Conference on Multimedia

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.525776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e0f6ad26-370e-4948-8263-795eccebf7e6 · outbound

This paper cites Information Fusion 82, 28–42 (2022).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Information Fusion 82, 28–42 (2022)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.491963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6a1e41ba-45f7-4fd5-adcd-0509da9bcaeb · outbound

This paper cites Information Fusion 83, 79–92 (2022).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Information Fusion 83, 79–92 (2022)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.453080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fbf1269b-9020-4065-89e4-ebda0219bd7c · outbound

This paper cites Data in brief15, 249–251 (2017).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Data in brief15, 249–251 (2017)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.411472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 67f3180c-c374-4c2a-ac85-dbcc0ec89735 · outbound

This paper cites Advances in neural information pro- cessing systems 30 (2017).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Advances in neural information pro- cessing systems 30 (2017)

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:30.748180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1053fda8-c128-43a5-90bb-d4856a440279 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.390131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a07891d8-eeaf-4753-b628-c32cce41f722 · outbound

This paper cites Information Fusion98, 101828 (2023).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Information Fusion98, 101828 (2023)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.377868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a0b96c78-a32f-46df-ae43-8700c3bc3f49 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 44(1), 502–518 (2020).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection IEEE Transactions on Pattern Analysis and Machine Intelligence 44(1), 502–518 (2020)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.364170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 255483e7-ee34-4e1b-80f4-9c989f1a1253 · outbound

This paper cites In: proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (2020).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (2020)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.348560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a81cf830-18bd-4c98-b4bf-48ec4b4e65c7 · outbound

This paper cites In- formation Fusion50, 20–29 (2019).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In- formation Fusion50, 20–29 (2019)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.334331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1c8b16cc-75cb-4ba4-a279-7f3a09a9fdb3 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing59(5), 4481–4492 (2020).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection IEEE Transactions on Geoscience and Remote Sensing59(5), 4481–4492 (2020)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.320338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ed760e5-08da-4197-add4-822fc0a55034 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR).

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:13:31.307551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a5995215-0920-4427-9b94-fa4e90e470e7 · outbound

This paper cites Probabilistic two-stage detection.

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection Probabilistic two-stage detection

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T21:13:30.981810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.