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Paper Citation Record · LEDGER

Real-Time Flying Object Detection with YOLOv8

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:09.466280Z

measured 0 of 1 external citation measurements

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

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

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T22:59:36.542774Z digest=sha256:e0eea45f71ee964b57a201636d82cfbe58a7b8bba9008eb4b27cc5de56532b62

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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no resolver link, observed 2026-08-07T05:40:13.475523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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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no resolver link, observed 2026-08-06T20:39:23.835177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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no resolver link, observed 2026-08-06T19:47:28.600083Z

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Unavailable: canonical work link unavailable.

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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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no resolver link, observed 2026-08-06T16:39:37.217551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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unresolved
no resolver link, observed 2026-08-06T20:20:31.256161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:20:31.256161Z digest=sha256:6eba89c9f85cace1b964f16dc0bf17884b535908e5ff6644416eee46b3b88a9d

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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unresolved
no resolver link, observed 2026-08-06T13:12:06.289673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:12:06.289673Z digest=sha256:3b8123e8da6e4304b80b485f9d9425b5e581ad6c80d2b0ef8f9ab4509739c3aa

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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unresolved
no resolver link, observed 2026-08-05T05:27:54.128484Z

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Unavailable: canonical work link unavailable.

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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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unresolved
no resolver link, observed 2026-08-04T07:26:17.278083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:26:17.278083Z digest=sha256:6d7d724a3d8ecd1a3e9f27ec7f31dd0e3065b7323d62b57735b8752a4713bfc4

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T05:43:25.681635Z digest=sha256:9ffd086dde50a3624317fe03cdc3faaa69201c9703e278a7e317acb133e936b2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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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verified exact
arxiv_id, observed 2026-05-11T09:50:58.828849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T00:52:29.958435Z digest=sha256:d6f337ae64f826f4851bf304497f8c330a5fa70010bb271702c3daa768fc5fdc

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:48:11.126363Z digest=sha256:acc78145a174948ba780bb4ff86effc109d4ac764864a803353016cbd7045090

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T07:51:13.367200Z digest=sha256:1eee0eac143cc3ce39658ebc9f534314ac9953e3280a58256ff34a23de827380

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T18:53:10.978631Z digest=sha256:40b99288a175bd0677b7c5b12301988fdc12afc1e7a52a160f2b5767dc51e702

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:33:58.151909Z digest=sha256:edef8e8075bc897b4dab570ac1c5e55930e5cb625ca6099b506167017fb62487