Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T05:45:05.365008Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2509.05019.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T05:45:05.365008Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8a226849-d0c0-484a-8e5c-4a5a464c15a6 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Cnn-based methods for offline arabic handwriting recognition: A review,
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Observation c9482dda-9dda-4ef9-8fb5-b39a9c70102d · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A steerable directional local profile technique for extraction of handwritten arabic text lines,
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deepahr: a deep neural network approach for recognizing arabic handwritten recognition,
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Advancing arabic handwriting recognition with convolutional and recurrent neural network ensembles,
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Conv-vit fusion for improved handwritten arabic character classifica- tion,
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Automatic speech recognition using advanced deep learning approaches: A survey,
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition An innovative deep anomaly detection of building energy consumption using energy time-series images,
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Face mask detection in smart cities using deep and transfer learning: Lessons learned from the covid-19 pandemic,
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Observation 9d91eeb3-48db-467e-a7f2-36d90f2f6bb5 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Winograd transform-based fast detection of heart disease using ecg signals and chest x-ray images,
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Observation 99ec0733-d8d7-4ceb-be84-2776493c8510 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition PaLI: A Jointly-Scaled Multilingual Language-Image Model
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Observation 0163c443-6e58-4dce-bd00-d9e31354a8fb · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Scaling Vision Transformers
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Observation 115217cd-7e9b-4e28-963f-f83081ed658d · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization,
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Observation 239053ea-8d3d-4e28-bb35-ba359d23bb9b · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review,
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Observation 80fb5f36-1604-475e-a359-314b1c2ceee6 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A survey on deep transfer learning,
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Observation cbaaa4e7-4f30-4510-a3dc-be49c963446b · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A survey of transfer learning,
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Observation 725d4749-1cc0-4875-b587-1db4890649e6 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep visual social distancing monitor- ing to combat covid-19: A comprehensive survey,
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Observation 74c62935-b282-4ffa-9e3d-0b92020ba435 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Handwritten amharic character recognition through transfer learning: Integrating cnn models and machine learning classifiers,
Reference 17
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Observation a03fb808-366c-41cc-a730-d2a2a5ac82c1 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Handwritten arabic character recognition: Comparison of conventional machine learning and deep learning approaches,
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Observation 665b265d-9393-4793-a87d-d7674e972e65 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep convolutional neural networks transfer learning comparison on arabic handwriting recognition system,
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Observation c48db6ee-0ad8-4474-8631-b2ad4b2e870d · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Offline arabic handwritten word recognition: A transfer learning approach,
Reference 20
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Observation 65130eb4-2de1-4b93-ae89-0ef3b6bdd6cf · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Investigation on deep learning for off-line handwritten arabic character recognition,
Reference 21
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Ocr-nets: Variants of pre-trained cnn for urdu handwritten character recognition via transfer learning,
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Observation 9e4c2a28-1723-41bd-9651-94d2294f5e04 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Arabic handwritten characters recognition using convolutional neural network,
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Observation 69565e57-2e54-4a63-aa1a-8f88c455f606 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Arabic handwriting recognition system using convolutional neural network,
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Observation 3587c779-7cf7-4a97-b805-3b7be8639bdf · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A comprehensive isolated farsi/arabic character database for handwritten ocr research,
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Observation 2140cea5-a40c-489f-998b-8776a0343617 · outbound
Reference 26
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Observation fc0221af-9602-4ba8-ae34-987540baf72c · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep learning for visual understanding: A review,
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Observation 45654850-e41b-41ba-9ecb-46ce1a393941 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Cnn based common approach to handwritten character recognition of multiple scripts,
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Observation dbf4953a-a686-4edf-9478-2640ce12fb18 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteristics and transfer learning,
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Observation 51b67aaf-84b3-43e6-ae70-4b587b38e6c4 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Image character recognition using deep convolutional neural network learned from different languages,
Reference 30
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Observation 7680705f-785f-4e39-b4ae-3bf5b26f88c1 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Breathai: Transfer learning- based thermal imaging for automated breathing pattern recognition,
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Observation 8fe9ec0e-bd6e-463a-95a4-27371278d4f2 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Exploring 2d representation and transfer learning techniques for indoor localization,
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Observation c1be788f-9829-45f6-ac07-ce8cfe47f396 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Federated and transfer learning for cancer detection based on image analysis,
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Observation fe0f9675-bb74-41cc-a3e9-eccb21177059 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Advancing 3d point cloud understanding through deep transfer learning: A comprehensive survey,
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Observation 856bf6db-afcd-4239-a2bd-2582f0b11147 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Review of deep learning: concepts, cnn architectures, challenges, applications, future directions,
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Observation e54ec6ce-92f6-44d7-b727-683be401fac3 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Learning transferable features with deep adaptation networks,
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Observation 0496dc91-d175-41d0-af5e-3162ed796f61 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep transfer learning with joint adaptation networks,
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Observation f0eb54ac-6685-4c44-9847-8d113e2a3519 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Simultaneous deep transfer across domains and tasks,
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Label efficient learning of transferable representations across domains and tasks,
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Observation 33c19215-d153-4185-aafd-3f51c99ae4bc · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A unified framework for metric transfer learning,
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Observation f718e32d-ccec-47f8-ba7b-3d00154f0a09 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Ensemble transfer learning algorithm,
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Observation b95f4950-f903-4b98-96cf-6305d08e1c97 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Unsuper- vised transfer learning via multi-scale convolutional sparse coding for biomedical applications,
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Observation 50c3cd3d-764d-4df4-87ed-2ac3e0256f48 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition How transferable are features in deep neural networks?,
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Observation 123f8359-01c7-4b31-8e6b-2462946a2863 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Transfer learning to improve arabic handwriting text recognition
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Observation 7928a123-9940-4523-bbc5-de8c6e71793b · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A new arabic handwritten character recognition deep learning system (ahcr-dls),
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Handwritten arabic character recognition for children writing using convolutional neu- ral network and stroke identification,
Reference 46
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Observation 20fd9cd9-6ccd-4e2e-81aa-0c054b7ff4ca · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition An enhanced artificial learning framework for moving object detection in challenging video scenes,
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Coatnet: Marrying convolution and attention for all data sizes,
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Observation 278bd726-7b8c-4b0a-846a-645fce831256 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Davit: Dual attention vision transformers,
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Squeezenet: Alexnet-level accuracy with 50x fewer parameters and <0.5mb model size,
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Searching for mobilenetv3,
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Observation db2fdc43-07cc-41d0-8e57-3c3df6d3278f · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Mnasnet: Platform-aware neural architecture search for mobile,
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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Shufflenet v2: Practical guidelines for efficient cnn architecture design,
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Observation 07057d69-77c6-4949-94b4-cc6af331cee8 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Shufflenet: An extremely efficient convolutional neural network for mobile devices,
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Observation 00430eb0-3464-459f-9df6-2d5437c7da4b · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Mobilenets: Efficient convo- lutional neural networks for mobile vision applications,
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Observation e9ee7c0e-edfc-495c-a404-41a95f81f990 · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Mo- bilenetv2: Inverted residuals and linear bottlenecks,
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Observation 4502db40-c3ec-4502-97bf-f7248b5d323c · outbound
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Hyperband: A novel bandit-based approach to hyperparameter opti- mization,
Reference 57
Source-reported events for the cited work
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No inbound Pith citation observations are available.