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Paper Citation Record · LEDGER

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition

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.

pith.paper-citation-record.v1
2509.05019 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

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measured 57 of 57 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation 8a226849-d0c0-484a-8e5c-4a5a464c15a6 · outbound

This paper cites Cnn-based methods for offline arabic handwriting recognition: A review,.

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,

Reference 1

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This paper cites A steerable directional local profile technique for extraction of handwritten arabic text lines,.

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,

Reference 2

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Observation 64599906-db11-474c-be79-fc3f92bdb5a0 · outbound

This paper cites Deepahr: a deep neural network approach for recognizing arabic handwritten recognition,.

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,

Reference 3

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Observation 6c3524ff-cfd6-4d83-969d-eb3643135395 · outbound

This paper cites Advancing arabic handwriting recognition with convolutional and recurrent neural network ensembles,.

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,

Reference 4

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Observation e0e59324-b828-4251-a193-b133ded5619e · outbound

This paper cites Conv-vit fusion for improved handwritten arabic character classifica- tion,.

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,

Reference 5

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This paper cites Automatic speech recognition using advanced deep learning approaches: A survey,.

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,

Reference 6

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Observation 926bb4c2-a882-45a1-b800-653fbc5e08c0 · outbound

This paper cites An innovative deep anomaly detection of building energy consumption using energy time-series images,.

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,

Reference 7

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Observation 5669d3c3-ad83-48b7-afc7-7b881ecc4e9c · outbound

This paper cites Face mask detection in smart cities using deep and transfer learning: Lessons learned from the covid-19 pandemic,.

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,

Reference 8

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This paper cites Winograd transform-based fast detection of heart disease using ecg signals and chest x-ray images,.

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,

Reference 9

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Observation 99ec0733-d8d7-4ceb-be84-2776493c8510 · outbound

This paper cites PaLI: A Jointly-Scaled Multilingual Language-Image Model.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition PaLI: A Jointly-Scaled Multilingual Language-Image Model

Reference 10

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Observation 0163c443-6e58-4dce-bd00-d9e31354a8fb · outbound

This paper cites Scaling Vision Transformers.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Scaling Vision Transformers

Reference 11

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Observation 115217cd-7e9b-4e28-963f-f83081ed658d · outbound

This paper cites Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization,.

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,

Reference 12

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This paper cites Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review,.

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,

Reference 13

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Observation 80fb5f36-1604-475e-a359-314b1c2ceee6 · outbound

This paper cites A survey on deep transfer learning,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A survey on deep transfer learning,

Reference 14

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Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A survey of transfer learning,

Reference 15

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Observation 725d4749-1cc0-4875-b587-1db4890649e6 · outbound

This paper cites Deep visual social distancing monitor- ing to combat covid-19: A comprehensive survey,.

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,

Reference 16

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Observation 74c62935-b282-4ffa-9e3d-0b92020ba435 · outbound

This paper cites Handwritten amharic character recognition through transfer learning: Integrating cnn models and machine learning classifiers,.

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

This paper cites Handwritten arabic character recognition: Comparison of conventional machine learning and deep learning approaches,.

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,

Reference 18

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This paper cites Deep convolutional neural networks transfer learning comparison on arabic handwriting recognition system,.

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,

Reference 19

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Observation c48db6ee-0ad8-4474-8631-b2ad4b2e870d · outbound

This paper cites Offline arabic handwritten word recognition: A transfer learning approach,.

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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This paper cites Investigation on deep learning for off-line handwritten arabic character recognition,.

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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This paper cites Ocr-nets: Variants of pre-trained cnn for urdu handwritten character recognition via transfer learning,.

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,

Reference 22

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This paper cites Arabic handwritten characters recognition using convolutional neural network,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Arabic handwritten characters recognition using convolutional neural network,

Reference 23

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Observation 69565e57-2e54-4a63-aa1a-8f88c455f606 · outbound

This paper cites Arabic handwriting recognition system using convolutional neural network,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Arabic handwriting recognition system using convolutional neural network,

Reference 24

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Observation 3587c779-7cf7-4a97-b805-3b7be8639bdf · outbound

This paper cites A comprehensive isolated farsi/arabic character database for handwritten ocr research,.

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,

Reference 25

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This paper cites El Khayati, I.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition El Khayati, I

Reference 26

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This paper cites Deep learning for visual understanding: A review,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep learning for visual understanding: A review,

Reference 27

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This paper cites Cnn based common approach to handwritten character recognition of multiple scripts,.

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,

Reference 28

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This paper cites Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteristics and transfer learning,.

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,

Reference 29

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This paper cites Image character recognition using deep convolutional neural network learned from different languages,.

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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This paper cites Breathai: Transfer learning- based thermal imaging for automated breathing pattern recognition,.

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,

Reference 31

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This paper cites Exploring 2d representation and transfer learning techniques for indoor localization,.

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,

Reference 32

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Observation c1be788f-9829-45f6-ac07-ce8cfe47f396 · outbound

This paper cites Federated and transfer learning for cancer detection based on image analysis,.

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,

Reference 33

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Observation fe0f9675-bb74-41cc-a3e9-eccb21177059 · outbound

This paper cites Advancing 3d point cloud understanding through deep transfer learning: A comprehensive survey,.

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,

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 856bf6db-afcd-4239-a2bd-2582f0b11147 · outbound

This paper cites Review of deep learning: concepts, cnn architectures, challenges, applications, future directions,.

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,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:08.168871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e54ec6ce-92f6-44d7-b727-683be401fac3 · outbound

This paper cites Learning transferable features with deep adaptation networks,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Learning transferable features with deep adaptation networks,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:08.026929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:04.163691Z digest=sha256:9f4141bb1b5e2fde613e830b19429f00e121fba4d2ad803eed3aef2a6baed515

Observation 0496dc91-d175-41d0-af5e-3162ed796f61 · outbound

This paper cites Deep transfer learning with joint adaptation networks,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Deep transfer learning with joint adaptation networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:07.851454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:04.223436Z digest=sha256:d1710fb6d654f71b64bb783c4aec4dbe1be16b5bd6bc3703c11de83a720ded7f

Observation f0eb54ac-6685-4c44-9847-8d113e2a3519 · outbound

This paper cites Simultaneous deep transfer across domains and tasks,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Simultaneous deep transfer across domains and tasks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:07.664197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:04.267307Z digest=sha256:52e8e1d6f1b9942f182e628fbbf45f1825541401da9d9d600ff62a44d89ef560

Observation 47a52107-5e13-46aa-b9db-193a156e5831 · outbound

This paper cites Label efficient learning of transferable representations across domains and tasks,.

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,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:07.493650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 33c19215-d153-4185-aafd-3f51c99ae4bc · outbound

This paper cites A unified framework for metric transfer learning,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition A unified framework for metric transfer learning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:07.309946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:04.385421Z digest=sha256:f2bfb4dbd0f21e3ceda51d0acd31474ccd5a8fc8216908a108b934acbd404972

Observation f718e32d-ccec-47f8-ba7b-3d00154f0a09 · outbound

This paper cites Ensemble transfer learning algorithm,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Ensemble transfer learning algorithm,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:07.225486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:04.483130Z digest=sha256:318e9bdab630a1bc78fbcd3c5b4d4335ee8bd7473e6c8d87f95fc51c7098a667

Observation b95f4950-f903-4b98-96cf-6305d08e1c97 · outbound

This paper cites Unsuper- vised transfer learning via multi-scale convolutional sparse coding for biomedical applications,.

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,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:07.088536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:04.547242Z digest=sha256:2e4f2f55333f80e535f2f0385d02f8a54acab0d8e02fe9fb3dcad8ee776cba7d

Observation 50c3cd3d-764d-4df4-87ed-2ac3e0256f48 · outbound

This paper cites How transferable are features in deep neural networks?,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition How transferable are features in deep neural networks?,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:06.957966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:04.582559Z digest=sha256:ceed1a348e8776912e5f3cde93a8657bfe177813a38efe1feea8a0ab59dd1b97

Observation 123f8359-01c7-4b31-8e6b-2462946a2863 · outbound

This paper cites Transfer learning to improve arabic handwriting text recognition.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Transfer learning to improve arabic handwriting text recognition

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:06.810725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:04.628038Z digest=sha256:d641c8da6fef619799bc9b89da993151b65e4cc290159b478450802943953028

Observation 7928a123-9940-4523-bbc5-de8c6e71793b · outbound

This paper cites A new arabic handwritten character recognition deep learning system (ahcr-dls),.

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),

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:06.663430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:04.661823Z digest=sha256:89b1e48689ccfedbdfd1c90d2b6eaaefadf82dc00c43f476ba003aec43ce2f04

Observation 9e6f5a93-8bc2-43f8-be15-3c96538ecdb2 · outbound

This paper cites Handwritten arabic character recognition for children writing using convolutional neu- ral network and stroke identification,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:06.498067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:04.708760Z digest=sha256:02efab858cffd8213f11cdba2be0a06eb776754df7c55f8cf421607176887d36

Observation 20fd9cd9-6ccd-4e2e-81aa-0c054b7ff4ca · outbound

This paper cites An enhanced artificial learning framework for moving object detection in challenging video scenes,.

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,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:06.394440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:04.782883Z digest=sha256:76ec4d33d2adfe2075719b20fb4a6bb82eb643508ae7f8560b0202fb3118ae00

Observation a73b8e69-51a9-43a9-ae54-85a752f45f07 · outbound

This paper cites Coatnet: Marrying convolution and attention for all data sizes,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Coatnet: Marrying convolution and attention for all data sizes,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:04.848870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 278bd726-7b8c-4b0a-846a-645fce831256 · outbound

This paper cites Davit: Dual attention vision transformers,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Davit: Dual attention vision transformers,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:06.241073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 842b3f10-1c8e-46cc-9756-bc351912026e · outbound

This paper cites Squeezenet: Alexnet-level accuracy with 50x fewer parameters and <0.5mb model size,.

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,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:05.038030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:05.038030Z digest=sha256:53679827c3344f9341b6b56b90ba0198a97f69db9cb3733fabe8989b31f251c2

Observation 6796ac64-3e6c-493f-955e-444fa71e0e63 · outbound

This paper cites Searching for mobilenetv3,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Searching for mobilenetv3,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:05.096298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:05.096298Z digest=sha256:9c930897042b292f332e39161ade8904e63731a10f5bbece0160fb36535f69c8

Observation db2fdc43-07cc-41d0-8e57-3c3df6d3278f · outbound

This paper cites Mnasnet: Platform-aware neural architecture search for mobile,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Mnasnet: Platform-aware neural architecture search for mobile,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:05.138362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:05.138362Z digest=sha256:612c97fad3eb8ff3a07e206b7cbc5e92e8b476a241f2986ea03b9c50f468112c

Observation d1040189-486a-401f-805d-ee02cc1c46ff · outbound

This paper cites Shufflenet v2: Practical guidelines for efficient cnn architecture design,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Shufflenet v2: Practical guidelines for efficient cnn architecture design,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:06.050240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:05.179843Z digest=sha256:da169740f7859131711c1c99f1bccca3e298f1b7b269040b235903ecc8c60b08

Observation 07057d69-77c6-4949-94b4-cc6af331cee8 · outbound

This paper cites Shufflenet: An extremely efficient convolutional neural network for mobile devices,.

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,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:05.916642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 00430eb0-3464-459f-9df6-2d5437c7da4b · outbound

This paper cites Mobilenets: Efficient convo- lutional neural networks for mobile vision applications,.

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,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:05.747034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:05.280637Z digest=sha256:99f1e4a01cc0699417f3b493016dacce318f88b8e758ec54198d4715612a570a

Observation e9ee7c0e-edfc-495c-a404-41a95f81f990 · outbound

This paper cites Mo- bilenetv2: Inverted residuals and linear bottlenecks,.

Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition Mo- bilenetv2: Inverted residuals and linear bottlenecks,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:45:05.592312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T05:45:05.312887Z digest=sha256:3a9c8663ed42999a505a5ef5275c4b4ed35cfaf8cc0fe8692048675b9db6dbfe

Observation 4502db40-c3ec-4502-97bf-f7248b5d323c · outbound

This paper cites Hyperband: A novel bandit-based approach to hyperparameter opti- mization,.

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

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:05.365008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:45:05.365008Z digest=sha256:b8a52d3cf6478be4b77a4bab4fe5166a35d937e281a664f07a6ddfec6179b428

Pith citing papers

No inbound Pith citation observations are available.