Paper Citation Record · LEDGER

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method

As of 4 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2605.20963.

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

pith.paper-citation-record.v1
2605.20963 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T05:07:17.315094Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

43 of 43 outbound references displayed

verified exact3
verified fuzzy40
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8156da44-577c-4899-a750-87bdd95c076e · outbound

This paper cites Detection and tracking meet drones challenge.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Detection and tracking meet drones challenge

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.281144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 93074df2-b3a6-4250-884e-ddadad94c54f · outbound

This paper cites Anti-uav410: A thermal infrared benchmarkandcustomizedschemefortrackingdronesinthewild.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Anti-uav410: A thermal infrared benchmarkandcustomizedschemefortrackingdronesinthewild

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.294636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6045f04c-8dd8-41d0-9b63-1c5621937841 · outbound

This paper cites Webuav-3m: A benchmark for unveiling the power of million-scale deep uav tracking.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Webuav-3m: A benchmark for unveiling the power of million-scale deep uav tracking

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.300521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 48661ecb-9d5d-4a5c-a162-41877de0986e · outbound

This paper cites Overview on autonomous aircraft technology and its application to low-altitude economy.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Overview on autonomous aircraft technology and its application to low-altitude economy

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.284753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b01c5480-18ce-40b1-852b-ffcf9037857a · outbound

This paper cites ATRNet-STAR: A large dataset and benchmark towards remote sensing object recognition in the wild.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method ATRNet-STAR: A large dataset and benchmark towards remote sensing object recognition in the wild

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.302618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e2f56b7e-262d-4e41-8323-1e88e999af93 · outbound

This paper cites Rgb-t object tracking: Benchmark and baseline.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Rgb-t object tracking: Benchmark and baseline

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.290350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9134a9f6-1ad6-4342-9810-71cd6ff492e6 · outbound

This paper cites Visible-thermal uav tracking: A large- scale benchmark and new baseline.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Visible-thermal uav tracking: A large- scale benchmark and new baseline

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.286623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e14deff0-c0e5-4cd0-ad9f-324776c72a57 · outbound

This paper cites Anti-uav: A large-scale benchmark for vision-based uav tracking.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Anti-uav: A large-scale benchmark for vision-based uav tracking

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.306495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 65b6a16a-5a04-4443-9ea7-375b4d3554f5 · outbound

This paper cites Material based object tracking in hyperspectral videos.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Material based object tracking in hyperspectral videos

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.298458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fe01b772-6810-421f-9a1c-be55a1db4c6c · outbound

This paper cites Unsupervised deep hyperspectral video target tracking and high spectral-spatial-temporal resolution (h 3) benchmark dataset.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Unsupervised deep hyperspectral video target tracking and high spectral-spatial-temporal resolution (h 3) benchmark dataset

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.292468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3cfc4608-4103-4567-828f-3674066455ef · outbound

This paper cites Must: The first dataset and unified framework for multispectral uav single object tracking.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Must: The first dataset and unified framework for multispectral uav single object tracking

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.288546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4e6b18f0-39bf-4a53-bf6c-33531e6d75b5 · outbound

This paper cites A benchmark and simulator for uav tracking.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method A benchmark and simulator for uav tracking

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.282923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 47b69eb0-7182-41c9-b704-b6c848a6a9d8 · outbound

This paper cites Visualobjecttrackingforunmannedaerialvehicles:Abenchmark and new motion models.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Visualobjecttrackingforunmannedaerialvehicles:Abenchmark and new motion models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.296590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 632bafff-d017-4784-92b4-0cccbabcca84 · outbound

This paper cites Visdrone-det2021: The vision meets drone object detection challenge results.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Visdrone-det2021: The vision meets drone object detection challenge results

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.304558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7954d6a8-4adf-40b6-953f-0e060ad9c7b4 · outbound

This paper cites The unmanned aerial vehicle benchmark: Object detection and tracking.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method The unmanned aerial vehicle benchmark: Object detection and tracking

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.273285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 93265ef1-182b-475a-b60e-f64971197d67 · outbound

This paper cites Learningsocialetiquette:Human trajectory understanding in crowded scenes.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Learningsocialetiquette:Human trajectory understanding in crowded scenes

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.275448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 22ee9bf3-83c5-4092-b939-a50ef2e886f7 · outbound

This paper cites Adaptive inattentional framework for video object detection with reward-conditional training.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Adaptive inattentional framework for video object detection with reward-conditional training

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.267007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e67c84db-9384-42e9-b37b-29b5be4c3259 · outbound

This paper cites Tju-dhd: A diverse high-resolution dataset for object detection.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Tju-dhd: A diverse high-resolution dataset for object detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.268867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1d81baa4-d118-4109-a967-ba3c9c064964 · outbound

This paper cites Multispectralpedestriandetection: Benchmark dataset and baseline.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Multispectralpedestriandetection: Benchmark dataset and baseline

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.265122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 03d0ae52-5995-45ad-b6d4-14a97de75484 · outbound

This paper cites Multispectral fusion for object detection with cyclic fuse-and-refine blocks.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Multispectral fusion for object detection with cyclic fuse-and-refine blocks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.261327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3971a881-641e-46d0-9437-b20d34714541 · outbound

This paper cites Llvip: A visible-infrared paired dataset for low-light vision.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Llvip: A visible-infrared paired dataset for low-light vision

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.263221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aae049b6-67fa-42ee-be0d-686ddec6bb03 · outbound

This paper cites Lasher: A large-scale high- diversity benchmark for rgbt tracking.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Lasher: A large-scale high- diversity benchmark for rgbt tracking

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.271144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f951014e-e0f5-4704-9031-a44632e3191a · outbound

This paper cites Visible-thermaltinyobjectdetection:Abenchmarkdatasetandbaselines.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Visible-thermaltinyobjectdetection:Abenchmarkdatasetandbaselines

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.277249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6b23a09b-d680-48c2-85f8-58bc358fe077 · outbound

This paper cites Vehicle detection in aerial imagery: A small target detection benchmark.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Vehicle detection in aerial imagery: A small target detection benchmark

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.253944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3f553e37-b218-4710-9c80-ad78a01f6ed7 · outbound

This paper cites Semi-supervised hyperspectral object detection challenge results-pbvs 2022.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Semi-supervised hyperspectral object detection challenge results-pbvs 2022

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.255731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0f948375-c14c-447f-a538-dd5bc08a726f · outbound

This paper cites Figvcl: Fine-grained benchmark and method for video copy localization.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Figvcl: Fine-grained benchmark and method for video copy localization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.259530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d832231b-0dfd-48d8-9f6a-3a4fb640032f · outbound

This paper cites Advances in multimodal adaptation and generalization: From traditional approaches to foundation models.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Advances in multimodal adaptation and generalization: From traditional approaches to foundation models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.248433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 901c4bc6-0998-4547-9702-43c203f56e96 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.252124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9c3e7db2-330f-4ff5-961f-a28f989d9d76 · outbound

This paper cites Fully convolutional one-stage object detection.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Fully convolutional one-stage object detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.250357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5dc8e8f1-4282-4491-a513-0da291705d95 · outbound

This paper cites Motion and appearance decoupling representation for event cameras.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Motion and appearance decoupling representation for event cameras

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.257698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ffaae3fb-cad9-4e86-8fa9-5a7ee866eb0e · outbound

This paper cites Objects as Points.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Objects as Points

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:09:38.474095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c09c8114-7b0c-48fd-b48f-8eae59dec24a · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:09:38.479969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cedbb3e2-05a0-4799-9a04-db9fb5dec802 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:09:38.477015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1048fb7b-0306-4019-8151-c4f16841285c · outbound

This paper cites Slicingaidedhyperinferenceandfine-tuning for small object detection.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Slicingaidedhyperinferenceandfine-tuning for small object detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.233447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1dd4815b-b39d-49b5-85ff-ecbf7bd88571 · outbound

This paper cites Parameter-inverted image pyramid networks for visual perception and multimodal understanding.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Parameter-inverted image pyramid networks for visual perception and multimodal understanding

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.230935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation baa0e547-eac5-4087-8234-fb7520710382 · outbound

This paper cites Direction-coded temporal u-shape module for multiframe infrared small target detection.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Direction-coded temporal u-shape module for multiframe infrared small target detection

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.237199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1980e843-13d3-4dac-8ef4-08378feb835c · outbound

This paper cites Specdetr: A transformer-based hyperspectral point object detection network.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Specdetr: A transformer-based hyperspectral point object detection network

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.242949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 46536c5d-74a1-4b0f-86a7-866550053ac3 · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Cascade r-cnn: Delving into high quality object detection

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.239146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6fcc4bb6-6a8b-4931-81e3-8a801513cf5b · outbound

This paper cites Tood: Task-aligned one-stage object detection.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Tood: Task-aligned one-stage object detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.240924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6523f7c1-3ebd-4aff-83de-0965fe3bad61 · outbound

This paper cites Ultralytics YOLO.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Ultralytics YOLO

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.235323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation efa23e78-4a36-4ea1-b976-86295f35b121 · outbound

This paper cites Yolov9: Learning what you want to learn using programmable gradient information.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Yolov9: Learning what you want to learn using programmable gradient information

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.244815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c976d9c2-5891-47bf-8273-71341f0999d9 · outbound

This paper cites Anchordetr:Querydesignfortransformer-based detector.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Anchordetr:Querydesignfortransformer-based detector

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.246668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b673493c-abdb-44a9-8274-d7508b49ab54 · outbound

This paper cites Oriented tiny object detection: A dataset, benchmark, and dynamic unbiased learning.

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method Oriented tiny object detection: A dataset, benchmark, and dynamic unbiased learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T05:09:39.279121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.