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Paper Citation Record · LEDGER

FRED: The Florence RGB-Event Drone Dataset

As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 3 inbound Pith citation observations for arXiv:2506.05163.

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

pith.paper-citation-record.v1
2506.05163 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:00.799513Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:31:05.724892Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:34:01.383846Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab993029-fbac-4762-b4be-52533d28add7 · outbound

This paper cites Drone detection approach based on radio-frequency using convolutional neural network.

FRED: The Florence RGB-Event Drone Dataset Drone detection approach based on radio-frequency using convolutional neural network

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T10:28:01.083832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.713867Z digest=sha256:58fefd84324e7906cf93ead4ce93d98460adf07faae308826f503aba3961cf6f

Observation c88ad693-baf4-4d37-9079-20bf335b0667 · outbound

This paper cites Neuromorphic event-based facial expression recognition.

FRED: The Florence RGB-Event Drone Dataset Neuromorphic event-based facial expression recognition

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T10:28:01.073558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.717485Z digest=sha256:3e61848f5a71bc253633ec1434bbad9b4f9e902c8efde456c664228bacfbd9bb

Observation af098aee-2b7b-43ec-af26-bf3d8523cb9b · outbound

This paper cites Evaluating multiple object tracking performance: the clear mot metrics.

FRED: The Florence RGB-Event Drone Dataset Evaluating multiple object tracking performance: the clear mot metrics

Reference 3

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unresolved
no resolver link, observed 2026-08-07T10:28:00.720509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:00.720509Z digest=sha256:56630dfab6573202abd9845ad95c84c32eed09ffdad49cab732d3cf8d8fa6ddf

Observation 312248d0-5554-4c84-997c-5ca6c2fbb6c2 · outbound

This paper cites Davison, Jörg Conradt, Kostas Daniilidis, and Davide Scaramuzza.

FRED: The Florence RGB-Event Drone Dataset Davison, Jörg Conradt, Kostas Daniilidis, and Davide Scaramuzza

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T10:28:01.058509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.723760Z digest=sha256:6bc74a1323b91a82174a54b53a339be4abefcaa97f5048e2c6adae7190d2fcda

Observation f85ae826-a720-4c7d-8002-595e6c602a09 · outbound

This paper cites Recurrent vision transformers for object detection with event cameras.

FRED: The Florence RGB-Event Drone Dataset Recurrent vision transformers for object detection with event cameras

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T10:28:01.048679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.726817Z digest=sha256:2b2564c2422b718efbfb44b3bc5d7518006a4476debef597bdc09394fd600e6b

Observation e009418b-e9b5-4a80-8011-561f6cf8a48c · outbound

This paper cites Long short-term memory.Neural computation, 9(8):1735–1780, 1997.

FRED: The Florence RGB-Event Drone Dataset Long short-term memory.Neural computation, 9(8):1735–1780, 1997

Reference 6

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no resolver link, observed 2026-08-07T10:28:00.730304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:00.730304Z digest=sha256:cb8fa5306e372208e54ae19f418d3367e8c8602f9244ebddcc07de62cb026850

Observation fa2ff4fa-dc72-4321-b806-e892114d8c4f · outbound

This paper cites Temporal binary represen- tation for event-based action recognition.

FRED: The Florence RGB-Event Drone Dataset Temporal binary represen- tation for event-based action recognition

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T10:28:01.032908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.733530Z digest=sha256:ee146e1af54047e1ab51f67c0c9d358493b1a771a508a0bc225d2f63bb9b4b63

Observation c37e025d-5456-4a18-b3fb-4b78b67a3226 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

FRED: The Florence RGB-Event Drone Dataset YOLOv11: An Overview of the Key Architectural Enhancements

Reference 8

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no resolver link, observed 2026-08-07T10:28:00.736392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:00.736392Z digest=sha256:10f31964c67b1f3a2a2c727ac27a04b684be301a43cd3c397a4688314587d381

Observation 663aaf31-f682-4fe3-aa7a-977b239fdfd5 · outbound

This paper cites Microsoft coco: Common objects in context.

FRED: The Florence RGB-Event Drone Dataset Microsoft coco: Common objects in context

Reference 9

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no resolver link, observed 2026-08-07T10:28:00.739785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:00.739785Z digest=sha256:518602cd66ed47e28c4176759d93d69133d227d77bbf1a3989a78da1b4404f4f

Observation f5b133c8-514e-445a-921e-dad37acbbe3e · outbound

This paper cites Drone detection using a low-power neuromorphic virtual tripwire.

FRED: The Florence RGB-Event Drone Dataset Drone detection using a low-power neuromorphic virtual tripwire

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:28:01.015946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.742503Z digest=sha256:f24afa1796d0422ce3a45a39b9299282f160890910aeceabf9b6d733e59f75f4

Observation 2c334003-b428-46b4-aaac-758631933f93 · outbound

This paper cites Ev-flying: an event-based dataset for in-the-wild recognition of flying objects.

FRED: The Florence RGB-Event Drone Dataset Ev-flying: an event-based dataset for in-the-wild recognition of flying objects

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-07T10:28:01.006146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.745355Z digest=sha256:5cf798aa68e1fa186eb23a61a4978c735e22016dd403ad60f705537c66fc4bc3

Observation 47275191-d98b-471e-9dcb-25185cecd543 · outbound

This paper cites Neuromorphic drone detection: an event-rgb multimodal approach.

FRED: The Florence RGB-Event Drone Dataset Neuromorphic drone detection: an event-rgb multimodal approach

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:28:00.997874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.748328Z digest=sha256:6a7aeb2eb3d7d31077daa82e1cc9ef5a508082fc354ad8db92b7bb19fc37300c

Observation 66598b07-4c6a-4070-b499-9d7186baf9b0 · outbound

This paper cites Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors.

FRED: The Florence RGB-Event Drone Dataset Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors

Reference 13

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no resolver link, observed 2026-08-07T10:28:00.751424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:00.751424Z digest=sha256:83d9c6704d0aa3beceb37cd1ec240acb1a1bb970c2e46d5bad67f05b321dadfa

Observation 1827de7f-8217-42af-b102-80f47e2ef234 · outbound

This paper cites Towards real-time fast unmanned aerial vehicle detection using dynamic vision sensors.

FRED: The Florence RGB-Event Drone Dataset Towards real-time fast unmanned aerial vehicle detection using dynamic vision sensors

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:28:00.989831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.754550Z digest=sha256:5a7ae6ddb07a7c4f51a687174c83e3f8d00a92f03e35f015ec2d832495d75ccb

Observation 1037e094-3573-4ce7-8164-1cdf79718624 · outbound

This paper cites Dual view fusion detection method for event camera detection of unmanned aerial vehicles, 2024.

FRED: The Florence RGB-Event Drone Dataset Dual view fusion detection method for event camera detection of unmanned aerial vehicles, 2024

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:28:00.980127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.757235Z digest=sha256:7f5a7bddf2f3f6554e9de219235ce85ad732eb868b527f0386bc4249001ae783

Observation e8103d40-a36f-4934-b01e-2bae728cb176 · outbound

This paper cites Learning to detect objects with a 1 megapixel event camera.

FRED: The Florence RGB-Event Drone Dataset Learning to detect objects with a 1 megapixel event camera

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:28:00.970773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.759681Z digest=sha256:75f0241875f0af7a49e573ce515beac318adbb2d5bb1a158ca0f40664ee1abf1

Observation 230fe4fb-1c0b-4a3d-b7cb-667cf498416e · outbound

This paper cites Learning to detect objects with a 1 megapixel event camera.Advances in Neural Information Processing Systems, 33:16639–16652, 2020.

FRED: The Florence RGB-Event Drone Dataset Learning to detect objects with a 1 megapixel event camera.Advances in Neural Information Processing Systems, 33:16639–16652, 2020

Reference 17

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no resolver link, observed 2026-08-07T10:28:00.762216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:00.762216Z digest=sha256:fe48687161fcea2dbd08eb45d1186c7a6abcf19bd8697366ac487756fd0f4ae7

Observation ea4f6b1b-27cc-48fa-96aa-e3f7d1e73eff · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

FRED: The Florence RGB-Event Drone Dataset Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 18

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no resolver link, observed 2026-08-07T10:28:00.764751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:00.764751Z digest=sha256:a46347b566b552d98ee40a71c009885ca90b702bddaa35cbeec0c271097aef6e

Observation f317b521-c933-4884-9235-a1ffb4c5a6e2 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017.

FRED: The Florence RGB-Event Drone Dataset Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017

Reference 19

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no resolver link, observed 2026-08-07T10:28:00.767355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:00.767355Z digest=sha256:f224cbb5dddeff8cca219f1a813a0056069bff957da0c38d2729bef5f3b084d3

Observation c5d83786-b564-475d-af9a-8a1bb1601afb · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.Advances in neural information processing systems, 28, 2015.

FRED: The Florence RGB-Event Drone Dataset Faster r-cnn: Towards real-time object detection with region proposal networks.Advances in neural information processing systems, 28, 2015

Reference 20

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no resolver link, observed 2026-08-07T10:28:00.769744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:00.769744Z digest=sha256:a3ab1ef3c937f58dfff321b36ba720f1b3ac4ed2c543fc8e5c42c3ccd6bbec53

Observation 01cce10d-3636-47c1-ad54-fcf922890f8d · outbound

This paper cites Drone virtual fence using a neuromorphic camera.

FRED: The Florence RGB-Event Drone Dataset Drone virtual fence using a neuromorphic camera

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:28:00.937485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.772294Z digest=sha256:83100702d1a9e564d21fb77e0ce2751eacc268d5d87eedbfe33b218c214d0c66

Observation e30e789f-435e-4c98-bab3-87c1da1be9c7 · outbound

This paper cites Drone virtual fence using a neuromorphic camera.

FRED: The Florence RGB-Event Drone Dataset Drone virtual fence using a neuromorphic camera

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:28:00.928096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.775010Z digest=sha256:98e07c837699be2f45bda10c1c01beae376c39e75998bdad709bcd461a104659

Observation ef055b79-6e7a-4e24-9370-56798571223f · outbound

This paper cites A virtual fence for drones: Efficiently detecting propeller blades with a dvxplorer event camera.

FRED: The Florence RGB-Event Drone Dataset A virtual fence for drones: Efficiently detecting propeller blades with a dvxplorer event camera

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T10:28:00.918870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.777661Z digest=sha256:623ee6dd2f848432accb18c5d24d0293390a0cfbf32f9e6770bec6783d6c15fa

Observation 17f0eab5-988e-47ba-a70a-22f0e6f04bb8 · outbound

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

FRED: The Florence RGB-Event Drone Dataset Real-time drone detection and tracking with visible, thermal and acoustic sensors

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:28:00.904199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.783182Z digest=sha256:0c713cf3c651d1fc1850fd631df45f77ca6b9387d1f0a9198d22e377ddbd2fe3

Observation 7cebfa26-90e7-496c-bcac-88c150a48911 · outbound

This paper cites Mann, Alessandro Renzaglia, and Christian Laugier.

FRED: The Florence RGB-Event Drone Dataset Mann, Alessandro Renzaglia, and Christian Laugier

Reference 25

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raw_fallback, observed 2026-08-07T10:28:00.895471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.785827Z digest=sha256:59e3d0e9beda539f352d2a27b56cb3ac280a252216a23662b6cf16a68115fab2

Observation 2adc24c3-3cb3-4396-a4f1-856a4e68a464 · outbound

This paper cites Visevent: Reliable object tracking via collaboration of frame and event flows.IEEE Transactions on Cybernetics, 2023.

FRED: The Florence RGB-Event Drone Dataset Visevent: Reliable object tracking via collaboration of frame and event flows.IEEE Transactions on Cybernetics, 2023

Reference 26

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raw_fallback, observed 2026-08-07T10:28:00.886885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.788383Z digest=sha256:390fab42469bb9b086bbf89cbf6ff7d0a0b8fc45bdfbfd36cb9a663124d19fae

Observation 07518cf6-238d-4985-aee5-d7a4c9357d6a · outbound

This paper cites Event stream-based visual object tracking: A high-resolution benchmark dataset and a novel baseline.

FRED: The Florence RGB-Event Drone Dataset Event stream-based visual object tracking: A high-resolution benchmark dataset and a novel baseline

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:28:00.877720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.790966Z digest=sha256:294a2cd953a4ebbea7815ded6a7e0b25b1d96f0e384bf4e8db9a5e10ebbb6636

Observation 0c6da886-4946-4819-83fe-53f6ae31ea44 · outbound

This paper cites Wang, Peiqi Duan, Oliver Cossairt, Aggelos Katsaggelos, Tiejun Huang, and Boxin Shi.

FRED: The Florence RGB-Event Drone Dataset Wang, Peiqi Duan, Oliver Cossairt, Aggelos Katsaggelos, Tiejun Huang, and Boxin Shi

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:28:00.869309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.793813Z digest=sha256:ca0616fb40813539eb1f476dbca189df2446f6cc611067172210ac4ff5b3ea9b

Observation 6ea27734-2d00-4d00-90af-52549282995c · outbound

This paper cites Bytetrack: Multi-object tracking by associating every detection box.

FRED: The Florence RGB-Event Drone Dataset Bytetrack: Multi-object tracking by associating every detection box

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T10:28:00.861363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.796546Z digest=sha256:131ae481748813f35ab3512e0600ec1122ff4607fdf589b7e6adbc5cd24ba33a

Observation 8edf6b9d-0053-4007-abcc-b5df8ebddcf8 · outbound

This paper cites Detrs beat yolos on real-time object detection.

FRED: The Florence RGB-Event Drone Dataset Detrs beat yolos on real-time object detection

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:28:00.851879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:28:00.799513Z digest=sha256:e01df67ce62af6ba029bff3456a3ce83842a0dc58cd831767cdfd1412c9b6ff8

Observation 668b1ee3-a267-4607-a4af-f3e4ac56d339 · outbound

This paper cites an unresolved cited work.

FRED: The Florence RGB-Event Drone Dataset Unresolved cited work

Reference 2022

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unresolved
no resolver link, observed 2026-08-07T10:28:00.780403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:00.780403Z digest=sha256:34376b840d0929a7cb23ddd4637aa8fe5c9b2850b7cccb09645c867d2c4ae14d

Pith citing papers

Observation 4a585afd-89aa-4970-8224-5cd25136729a · inbound

Frequency-domain Event-based Imaging for Selective Surveillance cites this paper.

Frequency-domain Event-based Imaging for Selective Surveillance FRED: The Florence RGB-Event Drone Dataset

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-19T15:47:38.867927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T15:43:57.558173Z digest=sha256:93e85ff015b14c0c65f63fce2ef1623f8f00ad56413c5f170eb47baf126de58e

Observation 4f081310-fc28-42c7-86a8-9fb983f11f0e · inbound

LRDDv3: High-Resolution Long-Range Drone Detection Dataset with Range Information and Thermal Data cites this paper.

LRDDv3: High-Resolution Long-Range Drone Detection Dataset with Range Information and Thermal Data FRED: The Florence RGB-Event Drone Dataset

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:34:01.386421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T22:33:32.370179Z digest=sha256:f43c19c93a72bfc3885d4f6ff52e2853791ce458620ceb3a136abe97a89e03aa

Observation c09ccff4-9ae7-4973-a7b6-2e688241b541 · inbound

SkyEV: RGB-Event UAV detection and tracking dataset and baseline cites this paper.

SkyEV: RGB-Event UAV detection and tracking dataset and baseline FRED: The Florence RGB-Event Drone Dataset

Reference 29

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unresolved
no resolver link, observed 2026-08-01T14:31:05.724892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:31:05.724892Z digest=sha256:9b3d56d73f84b5de591b367c8b263fc0cc6ec05d843ca144b2cdcd33bab70dd9