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Paper Citation Record · LEDGER

Real-Time Flying Object Detection with YOLOv8

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2305.09972.

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

pith.paper-citation-record.v1
2305.09972 v2

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measured 0 of 0 reference resolution

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measured 41 of 41 standing notices

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

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:49:46.419476Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-06-29T07:53:13.319218Z

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Outbound references

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Pith citing papers

Observation e0f31221-2757-4b92-b480-45f7e10a9416 · inbound

XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images cites this paper.

XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images Real-Time Flying Object Detection with YOLOv8

Reference 37

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arxiv_id, observed 2026-05-24T00:33:40.152168Z

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

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Observation e6521c23-5552-460c-9901-7e9263ebeee8 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey Real-Time Flying Object Detection with YOLOv8

Reference 212

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arxiv_id, observed 2026-05-19T11:08:27.763270Z

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Observation 3eef9eaf-2945-4d83-94c4-a24a39af43ca · inbound

UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation cites this paper.

UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation Real-Time Flying Object Detection with YOLOv8

Reference 51

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Observation 1e6e1fc4-de58-49b9-87c4-fa33ddf70d12 · inbound

Class-wise Autoencoders Measure Classification Difficulty And Detect Label Mistakes cites this paper.

Class-wise Autoencoders Measure Classification Difficulty And Detect Label Mistakes Real-Time Flying Object Detection with YOLOv8

Reference 35

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Observation 783940e5-adac-4311-89ec-03f17893ae13 · inbound

NBM: an Open Dataset for the Acoustic Monitoring of Nocturnal Migratory Birds in Europe cites this paper.

NBM: an Open Dataset for the Acoustic Monitoring of Nocturnal Migratory Birds in Europe Real-Time Flying Object Detection with YOLOv8

Reference 55

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Observation 862216d7-957f-4e7b-8cdd-f943854a1581 · inbound

GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities cites this paper.

GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities Real-Time Flying Object Detection with YOLOv8

Reference 30

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Observation 4adaa176-ce60-462a-b188-b99e1ce4b375 · inbound

Multimodal Contextualized Support for Enhancing Video Retrieval System cites this paper.

Multimodal Contextualized Support for Enhancing Video Retrieval System Real-Time Flying Object Detection with YOLOv8

Reference 12

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arxiv_id, observed 2026-05-23T07:15:28.456241Z

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Observation 5d758e81-3be2-4853-881d-1c3cf994a5f3 · inbound

Learning from Massive Human Videos for Universal Humanoid Pose Control cites this paper.

Learning from Massive Human Videos for Universal Humanoid Pose Control Real-Time Flying Object Detection with YOLOv8

Reference 50

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Observation c52b45b0-3b45-45dc-b73f-ee6519cd5537 · inbound

SafeCFG: Controlling Harmful Features with Dynamic Safe Guidance for Safe Generation cites this paper.

SafeCFG: Controlling Harmful Features with Dynamic Safe Guidance for Safe Generation Real-Time Flying Object Detection with YOLOv8

Reference 26

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Observation ce8521ec-156d-4a36-a35b-cac900f83482 · inbound

On the Benefits of Instance Decomposition in Video Prediction Models cites this paper.

On the Benefits of Instance Decomposition in Video Prediction Models Real-Time Flying Object Detection with YOLOv8

Reference 38

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Observation d5dc0ce3-5e04-48bd-af08-86f7759548a5 · inbound

Investigating Market Strength Prediction with CNNs on Candlestick Chart Images cites this paper.

Investigating Market Strength Prediction with CNNs on Candlestick Chart Images Real-Time Flying Object Detection with YOLOv8

Reference 3

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Observation 0b0075f4-5301-4f30-8764-7e3908838999 · inbound

Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection cites this paper.

Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection Real-Time Flying Object Detection with YOLOv8

Reference 25

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Observation 200ca902-8323-42a3-a804-d6279b9e6c54 · inbound

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance cites this paper.

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance Real-Time Flying Object Detection with YOLOv8

Reference 55

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

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

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

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Observation 5ef40894-a7b1-440a-8a16-bb0430074d27 · inbound

An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval cites this paper.

An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval Real-Time Flying Object Detection with YOLOv8

Reference 36

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arxiv_id, observed 2026-05-22T23:02:13.666260Z

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

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Observation 80132652-28ab-41f2-8c75-f570bea308b4 · inbound

UFO2: The Desktop AgentOS cites this paper.

UFO2: The Desktop AgentOS Real-Time Flying Object Detection with YOLOv8

Reference 32

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Observation 6ed6709e-4578-451c-954b-ef75815d6282 · inbound

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving cites this paper.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Real-Time Flying Object Detection with YOLOv8

Reference 5

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Observation 00ba336f-325e-47e1-b8fc-ab8b6e3f9043 · inbound

A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond cites this paper.

A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond Real-Time Flying Object Detection with YOLOv8

Reference 57

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Observation 21774c4b-2a19-4983-9b66-c23d0a4e57d5 · inbound

MSFNet-CPD: Multi-Scale Cross-Modal Fusion Network for Crop Pest Detection cites this paper.

MSFNet-CPD: Multi-Scale Cross-Modal Fusion Network for Crop Pest Detection Real-Time Flying Object Detection with YOLOv8

Reference 30

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Observation 5217b75b-4a25-4670-8fec-586e437b18f9 · inbound

The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review cites this paper.

The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review Real-Time Flying Object Detection with YOLOv8

Reference 65

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Observation 16e492b8-655a-489b-a218-eed4f2b4b3fd · inbound

Task-Adaptive Semantic Communications with Controllable Diffusion-based Data Regeneration cites this paper.

Task-Adaptive Semantic Communications with Controllable Diffusion-based Data Regeneration Real-Time Flying Object Detection with YOLOv8

Reference 26

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Observation cf67ad79-ec39-408a-a284-40dc521b0389 · inbound

IPENS:Interactive Unsupervised Framework for Rapid Plant Phenotyping Extraction via NeRF-SAM2 Fusion cites this paper.

IPENS:Interactive Unsupervised Framework for Rapid Plant Phenotyping Extraction via NeRF-SAM2 Fusion Real-Time Flying Object Detection with YOLOv8

Reference 19

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Observation 9f32f2fb-bf94-4701-b5a8-121875ea6229 · inbound

Single-beam driven rotational manipulation for high-resolution 3D cellular morphology reconstruction cites this paper.

Single-beam driven rotational manipulation for high-resolution 3D cellular morphology reconstruction Real-Time Flying Object Detection with YOLOv8

Reference 17

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Observation a36537c3-5943-4ebd-b931-1ee68ca5da78 · inbound

GUIPilot: A Consistency-based Mobile GUI Testing Approach for Detecting Application-specific Bugs cites this paper.

GUIPilot: A Consistency-based Mobile GUI Testing Approach for Detecting Application-specific Bugs Real-Time Flying Object Detection with YOLOv8

Reference 58

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Observation ac389202-cccb-4778-a83f-1163c7d33c51 · inbound

AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns cites this paper.

AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns Real-Time Flying Object Detection with YOLOv8

Reference 49

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arxiv_id, observed 2026-05-22T01:20:52.235243Z

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Observation 243bbacb-383d-42bd-a619-e7a9dc5e63be · inbound

Understanding Trade offs When Conditioning Synthetic Data cites this paper.

Understanding Trade offs When Conditioning Synthetic Data Real-Time Flying Object Detection with YOLOv8

Reference 49

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Observation 1bed4dee-3972-4944-a7e4-65461141bebf · inbound

What's Making That Sound Right Now? Video-centric Audio-Visual Localization cites this paper.

What's Making That Sound Right Now? Video-centric Audio-Visual Localization Real-Time Flying Object Detection with YOLOv8

Reference 28

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Observation 0abc495e-2095-4ac0-8bc6-19687cd7d1cc · inbound

FantasyPortrait: Enhancing Multi-Character Portrait Animation with Expression-Augmented Diffusion Transformers cites this paper.

FantasyPortrait: Enhancing Multi-Character Portrait Animation with Expression-Augmented Diffusion Transformers Real-Time Flying Object Detection with YOLOv8

Reference 39

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Observation 24d603b8-a645-4931-8abb-d3d4135f50c2 · inbound

Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives cites this paper.

Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives Real-Time Flying Object Detection with YOLOv8

Reference 37

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Observation fce8af78-2943-4918-90c4-2e93ec202f85 · inbound

Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision cites this paper.

Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision Real-Time Flying Object Detection with YOLOv8

Reference 44

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Observation ab46fe66-5045-49db-b95d-4849affdb3a4 · inbound

An Analysis of Layer-Freezing Strategies for Enhanced Transfer Learning in YOLO Architectures cites this paper.

An Analysis of Layer-Freezing Strategies for Enhanced Transfer Learning in YOLO Architectures Real-Time Flying Object Detection with YOLOv8

Reference 1

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Observation 8923ba2a-21f4-4627-ae21-a8c722d6e32b · inbound

Reading Radio from Camera: Visually-Grounded, Lightweight, and Interpretable RSSI Prediction cites this paper.

Reading Radio from Camera: Visually-Grounded, Lightweight, and Interpretable RSSI Prediction Real-Time Flying Object Detection with YOLOv8

Reference 20

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Observation d11a0923-62c7-4f4e-9430-97867791eb14 · inbound

AnatomicalNets: A Multi-Structure Segmentation and Contour-Based Distance Estimation Pipeline for Clinically Grounded Lung Cancer T-Staging cites this paper.

AnatomicalNets: A Multi-Structure Segmentation and Contour-Based Distance Estimation Pipeline for Clinically Grounded Lung Cancer T-Staging Real-Time Flying Object Detection with YOLOv8

Reference 26

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arxiv_id, observed 2026-05-17T05:44:07.212836Z

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

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Observation 196d0041-ef38-4a70-9b9c-b76345215e04 · inbound

WildfireVLM: AI-powered Analysis for Early Wildfire Detection and Risk Assessment Using Satellite Imagery cites this paper.

WildfireVLM: AI-powered Analysis for Early Wildfire Detection and Risk Assessment Using Satellite Imagery Real-Time Flying Object Detection with YOLOv8

Reference 32

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arxiv_id, observed 2026-05-16T05:17:22.470344Z

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

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Observation ab3e4ff7-fd06-446b-912b-9769e153b789 · inbound

Positioning radiata pine branches requiring pruning by drone stereo vision cites this paper.

Positioning radiata pine branches requiring pruning by drone stereo vision Real-Time Flying Object Detection with YOLOv8

Reference 6

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arxiv_id, observed 2026-05-11T09:50:58.828849Z

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

source=pdf_text observed=2026-05-10T15:49:22.284066Z digest=sha256:dda8b74cbd823f29236e8ad14c8180d30dec12d79c6d5ada09b96eabc350393c

Observation d50c2e70-cb09-407a-8c5e-3be307711cf0 · inbound

Low-Cost Stereo Vision for Robust 3D Positioning of Thin Radiata Pine Branches in Autonomous Drone Pruning cites this paper.

Low-Cost Stereo Vision for Robust 3D Positioning of Thin Radiata Pine Branches in Autonomous Drone Pruning Real-Time Flying Object Detection with YOLOv8

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:36:27.080413Z

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=arxiv_source observed=2026-05-12T00:52:29.958435Z digest=sha256:4de75b9c2942e11883fbfcc09731c24e4ab617d8fe9ec0e81febb85215dd75c4

Observation f8420a56-2473-43bd-a09d-ba11f27bb5e0 · inbound

HyDRA Scorpion: A Cost-effective and Modular ROV for Real-Time Underwater Inspection, Intervention, and Object Detection cites this paper.

HyDRA Scorpion: A Cost-effective and Modular ROV for Real-Time Underwater Inspection, Intervention, and Object Detection Real-Time Flying Object Detection with YOLOv8

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:51:17.934621Z

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=2026-05-12T02:48:11.126363Z digest=sha256:0df67c4b886cda40be61a54990168fcfb4f2af6a3221ec7c2364b8a2cf28f74a

Observation 0852845a-41ea-4811-98fa-91514ec3645e · inbound

On-Device Generative AI for GDPR-Compliant Visual Monitoring: Natural Language Alerts from Local Object Detection cites this paper.

On-Device Generative AI for GDPR-Compliant Visual Monitoring: Natural Language Alerts from Local Object Detection Real-Time Flying Object Detection with YOLOv8

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:53:13.320870Z

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=2026-06-29T07:51:13.367200Z digest=sha256:cf010f631617ed276407978b64f039e7bb6c84bd296e8dc15240130d88a54e92

Observation 3ca96aef-c4c4-4f94-9578-f6968f56ec7d · inbound

T-CLIP: Enabling Thermal Perception for Contrastive Language-Image Pretraining cites this paper.

T-CLIP: Enabling Thermal Perception for Contrastive Language-Image Pretraining Real-Time Flying Object Detection with YOLOv8

Reference 77

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T19:52:35.086764Z

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=arxiv_source observed=2026-06-28T18:53:10.978631Z digest=sha256:3d3b1e5485cf2dcb36b3b88406b129407f75f1d885a125df498072f21318e4bd

Observation 99a39684-4e80-458f-9afe-9ba5bfd274dd · inbound

Assessing the Benefits of Combining Advanced Deep Learning Techniques for Post-Disaster Building Damage Assessment from UAV Imagery cites this paper.

Assessing the Benefits of Combining Advanced Deep Learning Techniques for Post-Disaster Building Damage Assessment from UAV Imagery Real-Time Flying Object Detection with YOLOv8

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T18:33:58.151909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:33:58.151909Z digest=sha256:e1c289d40a50e8ea9eaa32b5ece19266ff50315e201bcb4eadfc1ceb6dce226a

Observation 25ef9ada-07fd-45ed-966d-b379d485baf3 · inbound

Suppress and Diversify: Refining Robust Pathways for Corruption Robustness cites this paper.

Suppress and Diversify: Refining Robust Pathways for Corruption Robustness Real-Time Flying Object Detection with YOLOv8

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:09.939117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:05:09.939117Z digest=sha256:599c1a6a5293dbece92543db81771d2070c7b591b0b16c139ca27e0786206f4f