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 10 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.