Paper Citation Record · LEDGER

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2507.12727.

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

pith.paper-citation-record.v1
2507.12727 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:44:52.407489Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:00:56.890985Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T09:26:02.871000Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy20
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c8eb7386-ce85-4c53-8c11-f07674890a59 · outbound

This paper cites From unmanned systems to autonomous intelligent systems,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery From unmanned systems to autonomous intelligent systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:55.934347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 17f5dc10-c11b-4aae-a374-fdcd462bceee · outbound

This paper cites Rich feature hierarchies for accu- rate object detection and semantic segmentation,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery Rich feature hierarchies for accu- rate object detection and semantic segmentation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:55.811154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1206b3cf-1a81-49b8-a433-90898af080a5 · outbound

This paper cites Microsoft COCO: common objects in context,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery Microsoft COCO: common objects in context,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:55.656346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0df4453a-0a79-413d-9169-1107c87a7f61 · outbound

This paper cites SSD: single shot multibox detector,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery SSD: single shot multibox detector,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:55.464302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 80acf1d0-f6c1-468e-9cb0-1014ae3db6b6 · outbound

This paper cites Faster R-CNN: towards real-time object detection with region proposal networks,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery Faster R-CNN: towards real-time object detection with region proposal networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:55.313629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3330df07-e493-4d4c-9936-7ef029b4cf03 · outbound

This paper cites You only look once: unified, real-time object detection,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery You only look once: unified, real-time object detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:55.068267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65ef1bfb-7f19-42c0-a246-9439e3f007d1 · outbound

This paper cites YOLO9000: better, faster, stronger,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery YOLO9000: better, faster, stronger,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:54.912105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90e4f245-e76b-4421-837c-104438fed829 · outbound

This paper cites YOLOv3: An Incremental Improvement.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery YOLOv3: An Incremental Improvement

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:44:50.958705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84248369-a522-45f7-bedc-86e966a0e23c · outbound

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

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:44:51.107538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ff011dd-84b2-4bfa-865f-1e94e6a9fe06 · outbound

This paper cites You only look once: Unified, real-time object detection,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery You only look once: Unified, real-time object detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:54.703587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 855715d5-598e-4c7e-bcbb-10f9d3d98a25 · outbound

This paper cites YOLOv7: Trainable bag-of- freebies sets new state-of-the-art for real-time object detectors,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery YOLOv7: Trainable bag-of- freebies sets new state-of-the-art for real-time object detectors,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:54.544860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40df2cea-2ae9-4643-ab3a-13122a5035e6 · outbound

This paper cites YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:44:51.317026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9f5517a-b8d1-48ab-94bc-03ea7e8b3124 · outbound

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

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery YOLOv10: Real-Time End-to-End Object Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:44:51.384980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa228afe-b481-4711-853d-fa55f3723b50 · outbound

This paper cites VisDrone-DET2019: The vision meets drone object detection in im- age challenge results,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery VisDrone-DET2019: The vision meets drone object detection in im- age challenge results,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:54.321606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8990748b-bd33-4b83-b066-8a052d022fc5 · outbound

This paper cites ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:54.174230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f159ea26-b35e-4fa2-93c5-09645a1e1bbc · outbound

This paper cites CSPNet: A new backbone that can enhance learning capability of CNN,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery CSPNet: A new backbone that can enhance learning capability of CNN,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:54.028309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c35d71a-7ea3-43f3-aad0-a56582f46692 · outbound

This paper cites EfficientNet: Rethinking model scaling for convolutional neural networks,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery EfficientNet: Rethinking model scaling for convolutional neural networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:53.818117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 457ed109-34ce-476b-95bb-53be8f2cb1f1 · outbound

This paper cites Soft-NMS: improving object detection with one line of code,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery Soft-NMS: improving object detection with one line of code,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:53.649204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 300f7a13-633e-42a7-b849-a98e441f044c · outbound

This paper cites Session Peering Provisioning Framework (SPPF),.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery Session Peering Provisioning Framework (SPPF),

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:53.485032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a3b4b574-8162-4f53-b469-9a317faa7565 · outbound

This paper cites EdgeYOLO: An edge-real-time object detector,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery EdgeYOLO: An edge-real-time object detector,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:53.295699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa06b5b5-ffe9-4a7c-a2bb-1e91a4cf78ff · outbound

This paper cites SSD: Single Shot MultiBox Detector,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery SSD: Single Shot MultiBox Detector,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:53.141337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dcefebbf-7ac3-4279-bdf5-4223fdab5c4f · outbound

This paper cites Object Detection with Deep Learning: A Review.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery Object Detection with Deep Learning: A Review

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:44:52.189005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5445b406-10af-4980-9689-cc27ea04c667 · outbound

This paper cites Perceptual Generative Adversar- ial Networks for Small Object Detection,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery Perceptual Generative Adversar- ial Networks for Small Object Detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:52.990550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 562e0aa4-b2d6-4dd3-8df8-09083892ad7c · outbound

This paper cites The Unmanned Aerial Vehicle Bench- mark: Object Detection and Tracking,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery The Unmanned Aerial Vehicle Bench- mark: Object Detection and Tracking,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:52.800925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 74b4600c-6858-43a8-93e9-bffff595061f · outbound

This paper cites Efficient Non-Maximum Suppression,.

SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery Efficient Non-Maximum Suppression,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:44:52.632402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation f56546ac-1c0e-46de-b8ae-73ae05eedb0f · inbound

DroneScan-YOLO: Redundancy-Aware Lightweight Detection for Tiny Objects in UAV Imagery cites this paper.

DroneScan-YOLO: Redundancy-Aware Lightweight Detection for Tiny Objects in UAV Imagery SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:26:02.874073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.