Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:32:21.965465Z
Paper Citation Record · LEDGER
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series
As of 10 August 2026, this Paper Citation Record lists 100 of 118 outbound references and 0 inbound Pith citation observations for arXiv:2608.04706.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
100 of 118 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fe035e70-3542-41e3-a685-3dd74cc4a32d · outbound
This paper cites Wong and Christian Thomas and Patrick Halpin , keywords =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Wong and Christian Thomas and Patrick Halpin , keywords =
Reference 1
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Observation 0ef12f4e-d0b3-4b82-92ff-32c8dc73011b · outbound
This paper cites Soviet Physics Doklady , volume=.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Soviet Physics Doklady , volume=
Reference 3
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This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 4
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Observation 3db2ccdd-4792-4936-a43c-0a6899124bc8 · outbound
This paper cites and Haberland, Matt and Reddy, Tyler and Cournapeau, David and Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and Bright, Jonathan and.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series and Haberland, Matt and Reddy, Tyler and Cournapeau, David and Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and Bright, Jonathan and
Reference 5
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Observation f69c4c04-9f72-4832-b3f9-9eed3eed7b0a · outbound
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Earth System Science Data , VOLUME =
Reference 6
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Observation 2f8662c5-2113-438f-b377-cbf89586e264 · outbound
This paper cites 2017 , note =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series 2017 , note =
Reference 7
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Observation 20af7974-b8f1-40a7-b4b1-e1215f22b148 · outbound
This paper cites Sensors , VOLUME =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Sensors , VOLUME =
Reference 8
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Observation 912f8d87-b21f-449e-8ae8-b5e96a47208b · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 9
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Observation 0753222a-2fc9-4a57-85a3-159831e28f76 · outbound
This paper cites Entropy , VOLUME =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Entropy , VOLUME =
Reference 10
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Unavailable: canonical work link unavailable.
Observation e3a2b6d6-fbe3-4674-931d-9a63e02955bf · outbound
This paper cites International Journal of Remote Sensing , volume =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series International Journal of Remote Sensing , volume =
Reference 13
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Observation ca896c47-eb2d-4c2e-b0f0-74c6502ff2f2 · outbound
This paper cites GIScience & Remote Sensing , volume =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series GIScience & Remote Sensing , volume =
Reference 14
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Observation 8f17ae5c-2228-4665-b3d5-ac320f0dd5b1 · outbound
This paper cites Remote Sensing , VOLUME =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Remote Sensing , VOLUME =
Reference 16
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Observation 997725ee-528f-45df-829a-6fb4a4e1a4f1 · outbound
This paper cites Extraction of Offshore Wind Turbines in China by Combining Multispectral and SAR Image Data , year=.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Extraction of Offshore Wind Turbines in China by Combining Multispectral and SAR Image Data , year=
Reference 17
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Unavailable: canonical work link unavailable.
Observation 0beeb2be-6737-446c-be56-44177b5d4fdc · outbound
This paper cites LandTrendr — Temporal segmentation algorithms , journal =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series LandTrendr — Temporal segmentation algorithms , journal =
Reference 19
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Observation b9f079d0-e85c-4659-9178-0537425233ac · outbound
This paper cites Geo-spatial Information Science , volume =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Geo-spatial Information Science , volume =
Reference 21
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Observation 489b51a5-aaf5-4266-8f8a-47b400c0ecac · outbound
This paper cites and Matos-Carvalho, João P.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series and Matos-Carvalho, João P
Reference 22
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Observation aa6447e4-8c11-4c4d-b0a9-5616827c7380 · outbound
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Energies , VOLUME =
Reference 23
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Observation 1d3a15fa-1ab6-4a7d-a2c4-debf0ea09303 · outbound
This paper cites Remote Sensing , VOLUME =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Remote Sensing , VOLUME =
Reference 24
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Observation 8a01bd6d-469d-429e-b787-107ea516cd1e · outbound
This paper cites Automatic extraction of offshore platforms using time-series Landsat-8 Operational Land Imager data , journal =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Automatic extraction of offshore platforms using time-series Landsat-8 Operational Land Imager data , journal =
Reference 27
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Observation d6721851-cb48-42ce-9201-6014ef188f58 · outbound
This paper cites 2023 , issn =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series 2023 , issn =
Reference 29
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Observation a04246a7-f281-441c-ae9b-3a1389d53b49 · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 30
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Source-reported events for the cited work
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Observation b5b0adbb-2f77-42e6-b27b-1b531d1c4925 · outbound
This paper cites 2023 , issn =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series 2023 , issn =
Reference 31
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Observation 01e1ced0-2ea1-48bf-b2de-f450c5cbcf7d · outbound
This paper cites 2024 , issn =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series 2024 , issn =
Reference 32
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Observation ce2a5942-3587-4f49-9ad0-87ba98a9cf68 · outbound
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series 2025 , issn =
Reference 33
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Observation 575c4f5e-fa02-462d-b0f6-1caa5179713b · outbound
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series GMES Sentinel-1 mission , journal =
Reference 34
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Observation 1d5cc88f-bb67-46ac-97d5-ede7ff7590ab · outbound
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series and Porchetta, S
Reference 36
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series 2024 , issn =
Reference 37
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Observation 195720f8-7df9-4b94-bb37-c9d64c6fc15a · outbound
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series 2025 , issn =
Reference 38
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Observation 5d75ae6f-1c98-4b13-aaea-80b30db2355f · outbound
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series 2022 , issn =
Reference 39
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , year=
Reference 40
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series YOLOv10: Real-Time End-to-End Object Detection
Reference 41
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Journal of Renewable and Sustainable Energy , volume =
Reference 42
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Emergence of floating offshore wind energy: Technology and industry , journal =
Reference 43
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
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Observation a3051db0-b436-4f16-ac4d-172c4598483e · outbound
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series An innovative platform for exploring the Earth , howpublished =
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series and Bachofer, F
Reference 50
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series and Kuenzer, C
Reference 51
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series doi:10.5281/zenodo.18735421 , url =
Reference 52
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on , pages=
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Soft Computing and Pattern Recognition (SoCPaR), 2014 6th International Conference of , pages=
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Advanced Data Mining and Applications: 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings 12 , pages=
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Unavailable: canonical work link unavailable.
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Unavailable: canonical work link unavailable.
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series 2025 , howpublished =
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series The Journal of Supercomputing , year =
Reference 62
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series A Review of Deep Learning Models for Time Series Prediction , year=
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series LSTM can Solve Hard Long Time Lag Problems , url =
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Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series 1990 , issn =
Reference 70
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb22c92d-ef28-40d4-9dcf-15eb7c0ac29e · outbound
This paper cites and Kaiser, Lukasz and Polosukhin, Illia , title =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series and Kaiser, Lukasz and Polosukhin, Illia , title =
Reference 71
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f2c6776-ec6a-4e7a-a884-5c9ebb81489e · outbound
This paper cites and Paliwal, K.K.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series and Paliwal, K.K
Reference 73
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9073276e-d209-4677-8136-6c03d1706775 · outbound
This paper cites Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) , year =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) , year =
Reference 74
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af6bc176-9085-4f77-824b-d96fde685536 · outbound
This paper cites 2018 , howpublished =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series 2018 , howpublished =
Reference 75
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation db6889e1-2b68-4bda-be57-8a1fc0193327 · outbound
This paper cites Language Models are Few-Shot Learners , url =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Language Models are Few-Shot Learners , url =
Reference 76
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17c83a85-b9c8-462e-89d2-1fbee978f3b6 · outbound
This paper cites Learning Complex, Extended Sequences Using the Principle of History Compression , year=.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Learning Complex, Extended Sequences Using the Principle of History Compression , year=
Reference 78
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d60df56c-8e15-4a47-a655-27b9466fc22e · outbound
This paper cites 2024 , eprint =.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series 2024 , eprint =
Reference 82
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b43e5baa-94c9-4e30-b3f5-e39498208323 · outbound
This paper cites Akhtar, B.
Reference 95
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 270fd56b-cda7-44d6-bced-f0107ded8bf5 · outbound
This paper cites Brown, B.
Reference 96
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9d72cc4e-f50c-4319-a2f6-0bb0e54cd7a6 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 97
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d3c134d-d846-4102-8536-c581c717cfca · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 98
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84a1ae47-43e2-471a-9b87-8c22faac4772 · outbound
This paper cites Djath and J.
Reference 99
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b3c774a0-1ab2-484d-8dcb-e28eeef46e0a · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 100
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a6f8153-02b4-460e-801c-58b2821da6f8 · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 101
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6251649e-4951-48ea-af9f-bd14275dd804 · outbound
This paper cites EnBW he dreiht: First wind turbine installed.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series EnBW he dreiht: First wind turbine installed
Reference 102
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- raw_fallback, observed 2026-08-06T18:32:32.595659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ddaec2f2-895f-4148-b5cd-050d97fc9bf3 · outbound
This paper cites An eu strategy to harness the potential of offshore renewable energy for a climate neutral future.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series An eu strategy to harness the potential of offshore renewable energy for a climate neutral future
Reference 103
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 93719d8b-7164-4677-8c63-d6aa404f4050 · outbound
This paper cites Union of the esri country shapefile and the exclusive economic zones (version 4).
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Union of the esri country shapefile and the exclusive economic zones (version 4)
Reference 104
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d2f06a21-54d9-4139-83f8-826433248ff9 · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 105
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cca61b37-e0fc-4e66-9300-717429445bbb · outbound
This paper cites Download data | global energy monitor.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Download data | global energy monitor
Reference 106
- Resolution
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- raw_fallback, observed 2026-08-06T18:32:32.084248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a9c9da44-2331-42b6-aaf8-ca456f6fda56 · outbound
This paper cites Graves and J.
Reference 107
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c048305-e0f3-40c7-b929-bec9af6519e9 · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 108
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0de55ba7-3338-4f9a-98a0-53e5a65f1f68 · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 109
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 08cbddd8-8019-429b-9aec-7eeb456d087c · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 110
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- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 03efa657-038a-41bf-87f9-d44eb8792889 · outbound
This paper cites Hochreiter and J.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Hochreiter and J
Reference 111
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- raw_fallback, observed 2026-08-06T18:32:31.874066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 25ef6b67-572a-4d45-93e6-e8fb2f17d618 · outbound
This paper cites Hochreiter and J.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Hochreiter and J
Reference 112
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10f4eb81-7f2e-4f35-a640-7b7af671fadd · outbound
This paper cites Hoeser and C.
Reference 113
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c4fb4440-0677-4141-a8a1-c7237d502c06 · outbound
This paper cites Hoeser, S.
Reference 114
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- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2e1e1f3c-da79-4af3-8013-ca789b7c5a9f · outbound
This paper cites Hoeser, F.
Reference 115
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a8f3458-dc4d-4170-b79f-456f1454db90 · outbound
This paper cites Howard and S.
Reference 116
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Source-reported events for the cited work
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Observation 973d2d40-dacf-4e46-a3cc-c822239cc80c · outbound
This paper cites Ismail Fawaz, G.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Ismail Fawaz, G
Reference 117
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Observation bab33724-6734-4763-a763-a0c94913e1c2 · outbound
This paper cites Lai, C.-Y.
Reference 118
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0adee4d-9439-41f8-915b-fb8584c92d33 · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 119
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 47acd1d2-5806-44c0-a68d-bee48d60a889 · outbound
This paper cites Lin and Y.
Reference 120
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e87fba3a-8138-4bc2-b1a2-3f55eac7d601 · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 121
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- raw_fallback, observed 2026-08-06T18:32:30.392175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fb61407d-08fe-4159-926a-0b2e4bfb6128 · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 122
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- raw_fallback, observed 2026-08-06T18:32:29.761669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b0943437-c151-4da5-9ef7-43f79323fc14 · outbound
This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series SGDR: Stochastic Gradient Descent with Warm Restarts
Reference 123
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- unresolved
- no resolver link, observed 2026-08-06T18:32:21.268061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc6c6e81-8db5-4a49-9284-ead496dc9f5e · outbound
This paper cites Decoupled Weight Decay Regularization.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Decoupled Weight Decay Regularization
Reference 124
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:21.357168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4397a144-8404-4993-9f04-6a3a28adff06 · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 125
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-06T18:32:25.803218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 51c61768-ba40-4ece-954a-3734d3f1d414 · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 126
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- verified exact
- doi, observed 2026-08-06T18:32:23.772512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2da1a8fb-dc63-4e96-9ef6-2213a92792be · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 127
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 640dc354-dff5-4579-a985-5430769512b9 · outbound
This paper cites an unresolved cited work.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Unresolved cited work
Reference 128
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- raw_fallback, observed 2026-08-06T18:32:26.492079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c22ac76c-e6a1-4b83-8a26-5657eb67c293 · outbound
This paper cites Radford, K.
Reference 129
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- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:31.537432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 807d39ec-c838-4672-bb94-08d6f7250c75 · outbound
This paper cites Rußwurm and M.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Rußwurm and M
Reference 130
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- no resolver link, observed 2026-08-06T18:32:21.799391Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eaefdc9f-a184-49d1-8ba0-83acdb67892a · outbound
This paper cites Schmidhuber.
Reference 131
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b307fb0b-8882-42db-a3af-eb2bee733a2b · outbound
This paper cites Schuster and K.
Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series Schuster and K
Reference 132
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- no resolver link, observed 2026-08-06T18:32:21.965465Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.