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Paper Citation Record · LEDGER

EfficientNetV2: Smaller Models and Faster Training

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2104.00298.

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

pith.paper-citation-record.v1
2104.00298 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:13:23.857289Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

1133
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1d54c69c-9ab8-4296-8259-a9b74766b456 · inbound

TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation cites this paper.

TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation EfficientNetV2: Smaller Models and Faster Training

Reference 49

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Observation e42e7059-3c70-48ee-8c82-387cf5e0f38e · inbound

Image Forgery Localization via Guided Noise and Multi-Scale Feature Aggregation cites this paper.

Image Forgery Localization via Guided Noise and Multi-Scale Feature Aggregation EfficientNetV2: Smaller Models and Faster Training

Reference 11

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Observation 203a89db-665e-4b81-8f3d-54db5c924ded · inbound

PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation cites this paper.

PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation EfficientNetV2: Smaller Models and Faster Training

Reference 61

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Observation 41743e72-554e-4797-8c6e-8b818da9bc50 · inbound

MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data cites this paper.

MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data EfficientNetV2: Smaller Models and Faster Training

Reference 83

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Observation 1711c75d-b9c0-4a01-a96c-614ffe492889 · inbound

From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption cites this paper.

From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption EfficientNetV2: Smaller Models and Faster Training

Reference 45

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Observation 03a8c4cb-b465-4ad4-a67c-24a668635494 · inbound

Scalable Whole Slide Image Representation Using K-Mean Clustering and Fisher Vector Aggregation cites this paper.

Scalable Whole Slide Image Representation Using K-Mean Clustering and Fisher Vector Aggregation EfficientNetV2: Smaller Models and Faster Training

Reference 15

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Observation 3de22eb3-24a4-4eff-8d68-e4fe8e7e823f · inbound

Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images cites this paper.

Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images EfficientNetV2: Smaller Models and Faster Training

Reference 22

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Observation b396912e-7a3d-4a69-bf50-25f1cf43abac · inbound

StruM: Structured Mixed Precision for Efficient Deep Learning Hardware Codesign cites this paper.

StruM: Structured Mixed Precision for Efficient Deep Learning Hardware Codesign EfficientNetV2: Smaller Models and Faster Training

Reference 5

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Observation 00a93310-c33a-4965-b385-318882a09e24 · inbound

Kolmogorov-Arnold Fourier Networks cites this paper.

Kolmogorov-Arnold Fourier Networks EfficientNetV2: Smaller Models and Faster Training

Reference 23

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Observation 5537b63d-342e-4506-bf55-674b3b5ffff7 · inbound

Vision-Language Models for Edge Networks: A Comprehensive Survey cites this paper.

Vision-Language Models for Edge Networks: A Comprehensive Survey EfficientNetV2: Smaller Models and Faster Training

Reference 16

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Observation 7db232a6-5dd5-442e-b531-2ad530f4d1b8 · inbound

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images cites this paper.

Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images EfficientNetV2: Smaller Models and Faster Training

Reference 19

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Observation 173cc746-d159-4b12-b1c4-0d13f6ef0ad5 · inbound

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method cites this paper.

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method EfficientNetV2: Smaller Models and Faster Training

Reference 12

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Observation 16340daa-e2be-4f96-b20e-cf644f51a53d · inbound

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception cites this paper.

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception EfficientNetV2: Smaller Models and Faster Training

Reference 34

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Observation 64e90de0-2da6-438f-b538-66bbe434a421 · inbound

Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images cites this paper.

Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images EfficientNetV2: Smaller Models and Faster Training

Reference 22

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Observation 5a5ca558-fb7f-4e22-89d5-8d19b13e1b10 · inbound

Analysis of Hyperparameter Optimization Effects on Lightweight Deep Models for Real-Time Image Classification cites this paper.

Analysis of Hyperparameter Optimization Effects on Lightweight Deep Models for Real-Time Image Classification EfficientNetV2: Smaller Models and Faster Training

Reference 9

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arxiv_id, observed 2026-05-19T02:41:59.846447Z

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Observation 1e4496f4-70f1-4cd2-ab1c-2ca998b2b319 · inbound

Image Recognition with Vision and Language Embeddings of VLMs cites this paper.

Image Recognition with Vision and Language Embeddings of VLMs EfficientNetV2: Smaller Models and Faster Training

Reference 2021

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Observation d6ea1a99-e98a-4343-b199-e34a45013092 · inbound

Scalable deep fusion of spaceborne lidar and synthetic aperture radar for global forest structural complexity mapping cites this paper.

Scalable deep fusion of spaceborne lidar and synthetic aperture radar for global forest structural complexity mapping EfficientNetV2: Smaller Models and Faster Training

Reference 41

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Observation 9ff2b9d9-f63e-4788-9580-31cd748679f5 · inbound

Descriptor: Parasitoid Wasps and Associated Hymenoptera Dataset (DAPWH) cites this paper.

Descriptor: Parasitoid Wasps and Associated Hymenoptera Dataset (DAPWH) EfficientNetV2: Smaller Models and Faster Training

Reference 34

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Observation 17f03da3-f2ae-4a4b-9fa0-521a4bf4b288 · inbound

PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction cites this paper.

PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction EfficientNetV2: Smaller Models and Faster Training

Reference 17

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Observation de41d1b0-8a7a-4878-b0fb-38e8f538aa62 · inbound

Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT cites this paper.

Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT EfficientNetV2: Smaller Models and Faster Training

Reference 36

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Observation bcd388ae-9b68-4649-b75f-6059d954283d · inbound

Validation of an AI-based end-to-end model for prostate pathology using long-term archived routine samples cites this paper.

Validation of an AI-based end-to-end model for prostate pathology using long-term archived routine samples EfficientNetV2: Smaller Models and Faster Training

Reference 32

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Observation 6c9f89bf-55d7-4676-91ef-2ca4cf5dd11e · inbound

When Does Sparse MoE Help in Vision? The Role of Backbone Compute Leverage in Sparse Routing cites this paper.

When Does Sparse MoE Help in Vision? The Role of Backbone Compute Leverage in Sparse Routing EfficientNetV2: Smaller Models and Faster Training

Reference 44

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Observation 4f1ded5e-37df-4e7c-a3d9-281e5c5cba8d · inbound

StableGrad: Backward Scale Control without Batch Normalization cites this paper.

StableGrad: Backward Scale Control without Batch Normalization EfficientNetV2: Smaller Models and Faster Training

Reference 14

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Joint Instance Segmentation and Geometric Attribute Regression for Roof Structures in Aerial Imagery cites this paper.

Joint Instance Segmentation and Geometric Attribute Regression for Roof Structures in Aerial Imagery EfficientNetV2: Smaller Models and Faster Training

Reference 17

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ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment cites this paper.

ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment EfficientNetV2: Smaller Models and Faster Training

Reference 42

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In-Context Learning for Wound Classification with Small Multimodal Language Models cites this paper.

In-Context Learning for Wound Classification with Small Multimodal Language Models EfficientNetV2: Smaller Models and Faster Training

Reference 68

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Exploring Budgeted Image Classification with Content-Sensitive Resource Allocation cites this paper.

Exploring Budgeted Image Classification with Content-Sensitive Resource Allocation EfficientNetV2: Smaller Models and Faster Training

Reference 20

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PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps cites this paper.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps EfficientNetV2: Smaller Models and Faster Training

Reference 9

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