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Paper Citation Record · LEDGER

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification

As of 17 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.16273.

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

pith.paper-citation-record.v1
2607.16273 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:10:53.505697Z

measured 23 of 23 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

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

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Reference resolution

23 of 23 outbound references displayed

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External citation measurements

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Outbound references

Observation 29682a93-b3e7-43e8-bc73-d1257b2714d8 · outbound

This paper cites Study and design of rot ational and translational with low illumination based face imag e recognition,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification Study and design of rot ational and translational with low illumination based face imag e recognition,

Reference 1

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doi, observed 2026-08-02T08:13:30.312750Z

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Observation 7ec741d1-1cda-41bd-a63b-099cb7fb22f7 · outbound

This paper cites An Optimized Hybrid CNN- AlexNet Framework for Real-Time Crime Activity and Suspicious Object Detection,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification An Optimized Hybrid CNN- AlexNet Framework for Real-Time Crime Activity and Suspicious Object Detection,

Reference 2

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Observation eef3534c-d183-4c62-896b-5b27a8fc125d · outbound

This paper cites A Comprehensive Exploration: A ttention Mechanisms in Facial Emotion Recognition,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification A Comprehensive Exploration: A ttention Mechanisms in Facial Emotion Recognition,

Reference 3

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Observation f62e36b5-bc74-4108-b9b7-e78a046823e4 · outbound

This paper cites A Bro ad Study of Pre- training for Domain Generalization and Adaptation,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification A Bro ad Study of Pre- training for Domain Generalization and Adaptation,

Reference 4

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Observation 332a0297-06fc-49ed-935a-b99354155510 · outbound

This paper cites S phereFace Revived: Unifying Hyperspherical Face Recognition,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification S phereFace Revived: Unifying Hyperspherical Face Recognition,

Reference 5

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Observation f3568cfc-a228-40b7-adb9-4f5e88a6c132 · outbound

This paper cites A Comprehensive Review of Face Detection Techniques for Occluded Faces: Methods, Datasets, and Open Challen ges,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification A Comprehensive Review of Face Detection Techniques for Occluded Faces: Methods, Datasets, and Open Challen ges,

Reference 6

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Observation ae95cf0a-ebe7-4e54-99cd-317354147401 · outbound

This paper cites Sohail, S.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification Sohail, S

Reference 7

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doi, observed 2026-08-02T08:13:30.022888Z

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Observation 2b959b32-3a34-4220-8ac4-3c06fbd03506 · outbound

This paper cites Impact Analysis of Different Effective Loss Functi ons by Using Deep Convolutional Neural Network for Face Recognition,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification Impact Analysis of Different Effective Loss Functi ons by Using Deep Convolutional Neural Network for Face Recognition,

Reference 8

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Observation 09062f45-951e-44e8-a56d-cbfc01bf0e85 · outbound

This paper cites A Comparative Review and Performance Benchmarking of Face Recognition Models,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification A Comparative Review and Performance Benchmarking of Face Recognition Models,

Reference 9

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Observation 83278521-e2fe-45d6-b77f-1b147086eda9 · outbound

This paper cites Conv-MTD: A CNN Based Multi-Label Medic al Tubes Detection and Classification Model to Facilitate Re source-Constrained Point-of-Care Devices,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification Conv-MTD: A CNN Based Multi-Label Medic al Tubes Detection and Classification Model to Facilitate Re source-Constrained Point-of-Care Devices,

Reference 10

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Observation dd5cd01f-3308-4ced-912b-477712748b6c · outbound

This paper cites D eep Learning- Based Brain Tumour Detection: A Comparative Study o f ResNet50, AlexNet, and SqueezeNet,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification D eep Learning- Based Brain Tumour Detection: A Comparative Study o f ResNet50, AlexNet, and SqueezeNet,

Reference 11

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Observation 448c66a0-b7c2-4c2d-a126-e320a8e9163a · outbound

This paper cites A lightwe ight CNN-based algorithm and implementation on embedded system for real-time face recognition,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification A lightwe ight CNN-based algorithm and implementation on embedded system for real-time face recognition,

Reference 12

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b01e9e5a-2700-4714-bf23-aa17aeaf5d52 · outbound

This paper cites FD REnet: Face Detection and Recognition Pipeline,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification FD REnet: Face Detection and Recognition Pipeline,

Reference 13

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Observation a90d088f-2e46-493e-a300-37cd296ada9a · outbound

This paper cites A survey on face da ta augmentation for the training of deep neural networks,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification A survey on face da ta augmentation for the training of deep neural networks,

Reference 14

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Observation 216637ab-3754-49e1-8e64-97152702de18 · outbound

This paper cites Hybri d CNN-BiLSTM Architecture with Transfer Learning and Fine-Tuning for Efficient Deepfake Video Detection on Celeb-Df v2,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification Hybri d CNN-BiLSTM Architecture with Transfer Learning and Fine-Tuning for Efficient Deepfake Video Detection on Celeb-Df v2,

Reference 15

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Observation e03d0711-7052-4f64-903a-0d45ae7a6d4e · outbound

This paper cites IoT-MFaceNet: Internet-of-Thin gs-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Lear ning Implementations on a Raspberry Pi-400,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification IoT-MFaceNet: Internet-of-Thin gs-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Lear ning Implementations on a Raspberry Pi-400,

Reference 16

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Observation 506b2107-ff55-41fc-9dfe-8afaf31eb163 · outbound

This paper cites AI-powered Forensic Science - E videnceOptimizer: Leveraging Hybrid Ensembled Models,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification AI-powered Forensic Science - E videnceOptimizer: Leveraging Hybrid Ensembled Models,

Reference 17

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Observation b513c5c2-71c9-4063-a2f0-23f96adc3789 · outbound

This paper cites Yolov7-pcbam: enhancing steel surface defect detection via partial convolution and attent ion mechanism,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification Yolov7-pcbam: enhancing steel surface defect detection via partial convolution and attent ion mechanism,

Reference 18

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Observation 1b82357c-7165-4d5c-b255-b4ce877e2104 · outbound

This paper cites Advances in Face Recognition: A Comprehensive Review of Feat ure Extraction and Dataset Evaluation,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification Advances in Face Recognition: A Comprehensive Review of Feat ure Extraction and Dataset Evaluation,

Reference 19

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Observation c8b1e328-b299-4124-ae18-ed3fae0e9e4f · outbound

This paper cites Learning to Align from Scratch,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification Learning to Align from Scratch,

Reference 20

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Observation 56716c19-35d1-4b0f-ac5a-82a016e1aa5a · outbound

This paper cites LFW Dataset – Machine Learning Datasets.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification LFW Dataset – Machine Learning Datasets

Reference 21

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Observation f6f8cdaf-dc9f-4835-9de8-40f29e2810d7 · outbound

This paper cites SCface – surveil lance cameras face database,.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification SCface – surveil lance cameras face database,

Reference 22

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Observation 4244baa5-7088-4e08-bf93-75c54da7fb61 · outbound

This paper cites SCface - Surveillance Cameras Face Database.

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification SCface - Surveillance Cameras Face Database

Reference 23

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Pith citing papers

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