Paper Citation Record · LEDGER

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data

As of 20 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2507.21611.

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

pith.paper-citation-record.v1
2507.21611 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:37:27.959611Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy22
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9a131d14-9959-400f-b307-44bb94de442c · outbound

This paper cites Ultralytics YOLO11,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Ultralytics YOLO11,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.200508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e16219dc-f743-450a-aeaa-e1fee31159df · outbound

This paper cites Wind Turbine Images Unsplash.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Wind Turbine Images Unsplash

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.192203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a30622e-c004-40d0-8493-db82b9f2b1bb · outbound

This paper cites Examining the trends of 35 years growth of key wind turbine components,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Examining the trends of 35 years growth of key wind turbine components,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.183326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56690273-5436-41d6-90a3-104a67795fad · outbound

This paper cites Simultaneous Drone Localisation and Wind Turbine Model Fitting During Autonomous Surface Inspection,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Simultaneous Drone Localisation and Wind Turbine Model Fitting During Autonomous Surface Inspection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.174269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0cd18c75-97a6-4eac-9633-74dbe930e0c9 · outbound

This paper cites Wind Turbine Condi- tion Monitoring: State-of-the-Art Review, New Trends, and Future Challenges,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Wind Turbine Condi- tion Monitoring: State-of-the-Art Review, New Trends, and Future Challenges,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.165238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6c9bc8f4-d846-47ee-b211-5c7bc966b08c · outbound

This paper cites Condition monitoring of wind turbines: Techniques and methods,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Condition monitoring of wind turbines: Techniques and methods,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.156086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 30923b4e-6986-45fd-9352-14fa617be374 · outbound

This paper cites Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.147657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5bd611ba-7654-41a9-a19c-e99fe40b1c2d · outbound

This paper cites Stokkeland, A Computer Vision Approach for Autonomous Wind Turbine Inspection using a Multicopter, Mas- ter’s thesis, Institutt for teknisk kybernetikk (2014).

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Stokkeland, A Computer Vision Approach for Autonomous Wind Turbine Inspection using a Multicopter, Mas- ter’s thesis, Institutt for teknisk kybernetikk (2014)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.138681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 956386d4-f65d-45d9-be26-53c9325330d1 · outbound

This paper cites Autonomous visual navigation of Unmanned Aerial Vehicle for wind turbine inspection,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Autonomous visual navigation of Unmanned Aerial Vehicle for wind turbine inspection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.129839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dfc11c32-e598-4e60-887e-2383391e0af4 · outbound

This paper cites Wind Turbine Blade Inspection Based on Unmanned Aerial Vehi- cle(UA V) Visual Systems,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Wind Turbine Blade Inspection Based on Unmanned Aerial Vehi- cle(UA V) Visual Systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.120843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1365fe12-9dc8-4cb0-8209-f7fd0ebd30c4 · outbound

This paper cites Deep Learning vs. Traditional Computer Vision,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Deep Learning vs. Traditional Computer Vision,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.111359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee6c1923-018c-440f-bb27-82f08c5069b9 · outbound

This paper cites Detecting and Positioning of Wind Turbine Blade Tips for UA V-Based Automatic Inspection,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Detecting and Positioning of Wind Turbine Blade Tips for UA V-Based Automatic Inspection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.102439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3fc8ce39-93ce-4897-a57e-1af1cfd0ddf5 · outbound

This paper cites Autonomous Wind Turbine Inspection using a Quadrotor,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Autonomous Wind Turbine Inspection using a Quadrotor,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.092615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e1978250-0c99-48be-8037-d72e266345a7 · outbound

This paper cites Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T12:37:27.930804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e85206-c028-447b-80de-fc3914bfe14b · outbound

This paper cites Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.083108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7387e64-63a4-4774-9199-97a38a4b1718 · outbound

This paper cites Camera-Based Pose Estimation for Fixed-Wing UA Vs During Cooperative Landing Maneuvers,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Camera-Based Pose Estimation for Fixed-Wing UA Vs During Cooperative Landing Maneuvers,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.073825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be2baada-0e42-4cb2-baf9-a81c12f863e7 · outbound

This paper cites Wind Turbine Synthetic Vision,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Wind Turbine Synthetic Vision,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.064236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 43ca1ac4-994d-41e5-a9a7-e1912ac7a8fe · outbound

This paper cites BlenderProc2: A Procedural Pipeline for PhotorealisticRendering,.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data BlenderProc2: A Procedural Pipeline for PhotorealisticRendering,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.054578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51315003-cf13-46fd-8a2e-bea944c2f383 · outbound

This paper cites Blender - a 3D modelling and rendering package.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Blender - a 3D modelling and rendering package

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.044515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68e71c5a-e3e3-40b4-8a40-b3072505fa96 · outbound

This paper cites Landscape Pictures.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Landscape Pictures

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.033929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f6fbfc6d-34b5-4161-9cca-0fce3505ef15 · outbound

This paper cites Wind Turbine Images.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Wind Turbine Images

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.023287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53822ee7-494c-4d7d-823f-0ce8fd12f32f · outbound

This paper cites Object Detection Dataset - Wind Turbines.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Object Detection Dataset - Wind Turbines

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.013042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation abd67e20-acdc-4757-a354-58f62d5ab348 · outbound

This paper cites Adobe Stock Images.

Wind Turbine Feature Detection Using Deep Learning and Synthetic Data Adobe Stock Images

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:37:28.001532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.