Paper Citation Record · LEDGER

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications

As of 9 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2502.15737.

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

pith.paper-citation-record.v1
2502.15737 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:07:23.022180Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

26 of 26 outbound references displayed

verified exact20
verified fuzzy2
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6dbbae75-490e-4de1-ba80-5c63798996f9 · outbound

This paper cites Counting Vehicles with Deep Learning in Onboard UAV Imagery.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Counting Vehicles with Deep Learning in Onboard UAV Imagery

Reference 1

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:25.878713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 748e2782-9192-49ff-b3ff-a28213128358 · outbound

This paper cites Autonomous Navigation in Drones Using Deep Learning.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Autonomous Navigation in Drones Using Deep Learning

Reference 2

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:25.703174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ea686dc-4fff-4c35-8248-413d7e9d6684 · outbound

This paper cites Learning Vision-Based Flight in Drone Swarms by Imitation.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Learning Vision-Based Flight in Drone Swarms by Imitation

Reference 3

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:25.530510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9510a82f-063e-45cd-9839-d249b2690ece · outbound

This paper cites Profiling Energy Consumption of Deep Neural Networks on NVIDIA Jetson Nano.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Profiling Energy Consumption of Deep Neural Networks on NVIDIA Jetson Nano

Reference 4

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:25.329484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 330941f2-05cc-4a4f-9663-006057eea9d9 · outbound

This paper cites A Self-Learning Strategy for Task Offloading in UAV Networks.IEEE Trans.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications A Self-Learning Strategy for Task Offloading in UAV Networks.IEEE Trans

Reference 5

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:25.136078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 78d0a5dd-a007-430a-9bdb-93f457bf7ae2 · outbound

This paper cites Real-Time Flying Object Detection with YOLOv8.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Real-Time Flying Object Detection with YOLOv8

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T23:07:22.935886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea3269e1-f940-41a3-a053-53368651751c · outbound

This paper cites Ultralytics YOLO, Version 8.0.0.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Ultralytics YOLO, Version 8.0.0

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:07:25.905902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 698ee837-8f7f-4cad-8021-07ecc7377b53 · outbound

This paper cites A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges

Reference 8

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:24.963111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 251da43f-0a2a-4c41-b624-bb338eaeac13 · outbound

This paper cites DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T23:07:22.949512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79fe320c-e3c8-48a1-9b1d-65be2bf8ac71 · outbound

This paper cites An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System

Reference 10

Resolution: verified exact; doi, observed 2026-08-08T23:07:23.136082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a94921f-f558-413e-a375-f3bdea8d3480 · outbound

This paper cites ABM-SpConv-SIMD: Accelerating Convolutional Neural Network Inference for Industrial IoT Applications on Edge Devices.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications ABM-SpConv-SIMD: Accelerating Convolutional Neural Network Inference for Industrial IoT Applications on Edge Devices

Reference 11

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:24.756792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae7a4d37-ebd6-4da4-bb2e-5ef9d3c1a915 · outbound

This paper cites Benchmarking Convolutional Neural Network Inference on Low-Power Edge Devices.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Benchmarking Convolutional Neural Network Inference on Low-Power Edge Devices

Reference 12

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:24.592783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 237e284d-e95b-4b2e-8d9e-d43167d76c69 · outbound

This paper cites DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices

Reference 13

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:24.432950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f7e1e56-a1c2-4ec9-ace4-31cf878b1429 · outbound

This paper cites Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles

Reference 14

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:24.266977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35b09b3d-fdc4-4dbb-9396-f85de1650ddd · outbound

This paper cites A Deep Learning Framework Performance Evaluation to Use YOLO in Nvidia Jetson Platform.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications A Deep Learning Framework Performance Evaluation to Use YOLO in Nvidia Jetson Platform

Reference 15

Resolution: verified exact; doi, observed 2026-08-08T23:07:23.121976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 809ad395-f30e-4b3d-b756-1950bca0eb9c · outbound

This paper cites GCGE-YOLO: Improved YOLOv5s Algorithm for Object Detection in UAV Images.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications GCGE-YOLO: Improved YOLOv5s Algorithm for Object Detection in UAV Images

Reference 16

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:24.083807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d52ea2b-0acc-4657-a8f9-8632a2eb22ec · outbound

This paper cites YOLO-Tiny-attention: An Improved Algorithm for Fault Detection of Wind Turbine Blade.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications YOLO-Tiny-attention: An Improved Algorithm for Fault Detection of Wind Turbine Blade

Reference 17

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:23.908310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d5ceccd5-ddd5-4f2b-9fed-96f82b4f060c · outbound

This paper cites 5G for drone networking.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications 5G for drone networking

Reference 18

Resolution: verified exact; doi, observed 2026-08-08T23:07:23.108004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bd771e9c-7b84-4ae5-8401-dc8fcc7fd64a · outbound

This paper cites Photonics-Assisted Millimeter-Wave Communication System Based on Low-Bit Gaussian Mixture Model Adaptive Vector Quantization.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Photonics-Assisted Millimeter-Wave Communication System Based on Low-Bit Gaussian Mixture Model Adaptive Vector Quantization

Reference 19

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:23.716276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 184ce5f1-4862-4c8a-8034-8f1ea52a97ec · outbound

This paper cites Placement and Allocation of Communications Resources in Slicing-aware Flying Networks.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Placement and Allocation of Communications Resources in Slicing-aware Flying Networks

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-08T23:07:23.550219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9176c904-9e80-4f2e-b8e3-fafb6b3c23cb · outbound

This paper cites Post Training Quantization after Neural Network.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Post Training Quantization after Neural Network

Reference 21

Resolution: malformed identifier; arxiv_id_nonexistent, observed 2026-08-08T23:07:23.529218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0aef0ee6-08d3-4cc0-bac2-5c3d61fce8f3 · outbound

This paper cites Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T23:07:23.004840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4933f3ea-44e6-4247-be27-71fa0729def2 · outbound

This paper cites Unified Scaling-Based Pure-Integer Quantization for Low-Power Accelerator of Complex CNNs.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Unified Scaling-Based Pure-Integer Quantization for Low-Power Accelerator of Complex CNNs

Reference 23

Resolution: verified exact; doi, observed 2026-08-08T23:07:23.078903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bdf64db3-3e49-461c-bccc-df3fe0197879 · outbound

This paper cites Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-08T23:07:23.064450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0998f151-78e7-4d47-b3da-c1abcc052188 · outbound

This paper cites Power-aware Quantization Circuits in Analog In-Memory Computing with STT-MRAM Macro.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications Power-aware Quantization Circuits in Analog In-Memory Computing with STT-MRAM Macro

Reference 25

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T23:07:23.353142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a73a0a4-dae8-4812-90da-07479116871c · outbound

This paper cites A Digital Twin Concept to Prototype Multi-Drone Based Applications.

A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications A Digital Twin Concept to Prototype Multi-Drone Based Applications

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:07:25.892362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.