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Paper Citation Record · LEDGER

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector

As of 18 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2509.09859.

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

pith.paper-citation-record.v1
2509.09859 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:37:32.614409Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4837893c-892a-47b0-b600-2931a5edddb9 · outbound

This paper cites A review of yolo algorithm developments,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector A review of yolo algorithm developments,

Reference 1

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Observation 883cc5c5-7efb-4fbb-a7df-85775a905d36 · outbound

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

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 2

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source=pdf_text observed=2026-08-04T18:37:32.460742Z digest=sha256:5706322e4d13692cd8d4ecbbd12b3ee290214c93db41a96bd14be7699f18d607

Observation cb05fb2a-6794-4014-b85f-292ba1522490 · outbound

This paper cites End-to-end object detection with transformers,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector End-to-end object detection with transformers,

Reference 3

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source=pdf_text observed=2026-08-04T18:37:32.465292Z digest=sha256:8abccfe3371921c5f79f1f61757e8afe347615defa969ea9d52afdeb1c70569b

Observation 85ea4f26-2654-4139-a5a7-079c9a879089 · outbound

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

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 4

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source=pdf_text observed=2026-08-04T18:37:32.469955Z digest=sha256:93de42ae2cfd06752e1ba92d64527e87421c234d38a8882f16d6bdaf2286fd00

Observation 895967cb-113d-4c6e-a830-278daa28c004 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector nuscenes: A multimodal dataset for autonomous driving,

Reference 5

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source=pdf_text observed=2026-08-04T18:37:32.475328Z digest=sha256:5139986c1d6cd252aadb3119a827d2e9c82c97f55988a62252c37734731945f8

Observation de441e91-53b3-4cbc-947d-98fc74a5e4c5 · outbound

This paper cites Seeing through fog without seeing fog: Deep multi- modal sensor fusion in unseen adverse weather,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Seeing through fog without seeing fog: Deep multi- modal sensor fusion in unseen adverse weather,

Reference 6

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Observation 6ccb9806-7052-4793-9677-66a7e9d4e67f · outbound

This paper cites St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning,

Reference 7

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source=pdf_text observed=2026-08-04T18:37:32.484695Z digest=sha256:3187cb31d72f618b4a99c99e784164bfd1f9391201bad3c526e98e726f5e2b31

Observation 5d3c63ac-b8cb-4b02-a601-baa5c3f5768c · outbound

This paper cites Robust target recognition and tracking of self-driving cars with radar and camera information fusion under severe weather conditions,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Robust target recognition and tracking of self-driving cars with radar and camera information fusion under severe weather conditions,

Reference 8

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Observation b65d9a40-af39-4384-9a80-f0bf7a418426 · outbound

This paper cites A survey of motion planning and control techniques for self-driving urban vehicles,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector A survey of motion planning and control techniques for self-driving urban vehicles,

Reference 9

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Observation bbb626ca-e405-4064-ac31-19d0992ca69e · outbound

This paper cites A planning and control system for self-driving racing vehicles,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector A planning and control system for self-driving racing vehicles,

Reference 10

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Observation 694c3e93-92b7-40c3-9389-2a58fadf6c9a · outbound

This paper cites Futr3d: A unified sensor fusion framework for 3d detection,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Futr3d: A unified sensor fusion framework for 3d detection,

Reference 11

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source=pdf_text observed=2026-08-04T18:37:32.501930Z digest=sha256:4233691dc99c7a75176cfa4b55d79ea825ab0401ba4c93a4d1afa729e03c6709

Observation 7185c3ee-97c5-47c1-9336-5141e58abba8 · outbound

This paper cites Mt-detr: Robust end-to-end multimodal detection with confidence fusion,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Mt-detr: Robust end-to-end multimodal detection with confidence fusion,

Reference 12

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Observation 5200c768-1fe9-424d-a71c-47580f298af8 · outbound

This paper cites Drone Detection and Tracking with YOLO and a Rule-based Method.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Drone Detection and Tracking with YOLO and a Rule-based Method

Reference 13

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source=pdf_text observed=2026-08-04T18:37:32.510633Z digest=sha256:8b276d98a7e723f903250623b78889594e3d889b4f2a15f54375ceaff01e2695

Observation 094aeb1d-5b45-4874-8839-5316aaa4ac57 · outbound

This paper cites Yolo-drone: an optimized yolov8 network for tiny uav object detection,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Yolo-drone: an optimized yolov8 network for tiny uav object detection,

Reference 14

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Observation d1216105-7385-484d-bf8a-6c0f04826f97 · outbound

This paper cites Dronet: Efficient convolutional neural network detector for real-time uav applications,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Dronet: Efficient convolutional neural network detector for real-time uav applications,

Reference 15

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Observation 8b8d288c-645b-4eaa-adb0-ea28a8d52c92 · outbound

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

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector The unmanned aerial vehicle benchmark: Object detection and tracking,

Reference 16

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Observation d3db7e5f-e271-4bb0-883a-1e0179ba3ccf · outbound

This paper cites Yolc: You only look clusters for tiny object detection in aerial images,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Yolc: You only look clusters for tiny object detection in aerial images,

Reference 17

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Observation 8adb02d2-c164-45e8-8152-748746a81f8f · outbound

This paper cites The drone-vs-bird detection grand challenge at icassp 2023: A review of methods and results,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector The drone-vs-bird detection grand challenge at icassp 2023: A review of methods and results,

Reference 18

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Observation 2ccb4b7c-4d89-495b-8d1f-06065b27314e · outbound

This paper cites Deep residual learning for image recognition,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Deep residual learning for image recognition,

Reference 19

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Observation b5709727-e2f6-419e-b94c-c4b217ebf614 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 20

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Observation 61e9fd3d-3910-439d-b3d0-d48d78331207 · outbound

This paper cites Microsoft coco: Common objects in context,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Microsoft coco: Common objects in context,

Reference 21

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Observation 5040f29c-e436-427f-a883-d11fc514ed08 · outbound

This paper cites Real-time drone detection and tracking with visible, thermal and acoustic sensors,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Real-time drone detection and tracking with visible, thermal and acoustic sensors,

Reference 22

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Observation bdbe4ace-6999-4a8a-a2a4-1c38107c9261 · outbound

This paper cites A new approach to linear filtering and prediction problems,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector A new approach to linear filtering and prediction problems,

Reference 23

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Observation 6a5885c9-fe74-4831-8bfb-223868ab5637 · outbound

This paper cites Enkf data-driven reduced order assimilation system,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Enkf data-driven reduced order assimilation system,

Reference 24

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Observation ca300148-fdd4-4c55-9923-52618b63a5bb · outbound

This paper cites Mfcc in audio signal processing for voice disorder: a review,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Mfcc in audio signal processing for voice disorder: a review,

Reference 25

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Observation 8d047f82-4cc1-46b3-a252-cf07a67b2d48 · outbound

This paper cites Drone detection and tracking system based on fused acoustical and optical approaches,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Drone detection and tracking system based on fused acoustical and optical approaches,

Reference 26

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Observation c798f332-3be5-446e-890b-c13d8d953a7f · outbound

This paper cites Mdetr-modulated detection for end-to-end multi-modal understanding,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Mdetr-modulated detection for end-to-end multi-modal understanding,

Reference 27

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Observation b9c271ff-b92b-4049-8391-19cbc9c97dac · outbound

This paper cites Mmaud: A comprehensive multi-modal anti-uav dataset for modern miniature drone threats,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Mmaud: A comprehensive multi-modal anti-uav dataset for modern miniature drone threats,

Reference 28

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Observation 6bd986d1-42e7-4bc0-a5f3-2f1d8f090a55 · outbound

This paper cites Fast r-cnn,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Fast r-cnn,

Reference 29

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Observation 9828985c-b732-443b-ab91-ef0316ebe9c2 · outbound

This paper cites Attention is all you need,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Attention is all you need,

Reference 30

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Observation 631574c6-a4e6-4aa9-b9ca-da3ef5d30903 · outbound

This paper cites Feature pyramid networks for object detection,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Feature pyramid networks for object detection,

Reference 31

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Observation 77b61e31-6bd1-4fc1-af57-c80f20ae0f61 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 32

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Observation d076fa7e-3f65-4732-82f9-cae50e6d8413 · outbound

This paper cites Mixed precision training,.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Mixed precision training,

Reference 33

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Observation c1a45a1b-1341-4c6e-ac3d-39f64a0cde40 · outbound

This paper cites We perform this analysis over the testing datasets.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector We perform this analysis over the testing datasets

Reference 36

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Observation 8e24d724-415e-497b-9d1e-56762e1dba07 · outbound

This paper cites First we had to re-sample the audio segments to 16kHz to match the sampling rate of the audio samples used for training the foundation model.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector First we had to re-sample the audio segments to 16kHz to match the sampling rate of the audio samples used for training the foundation model

Reference 37

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Observation 95f26a6c-6ca6-4fd6-be95-0696502e61a3 · outbound

This paper cites Mixed Precision Training.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector Mixed Precision Training

Reference 2018

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Observation 258f120f-7c92-47a4-b12a-1db1ca7c8500 · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.

WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 2020

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no resolver link, observed 2026-08-04T18:37:32.595178Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T18:37:32.595178Z digest=sha256:3f7a034a28029cfbefe7d6a1eb2b9cc38599788ca5911cd44c0c99a473b58065

Pith citing papers

No inbound Pith citation observations are available.