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Paper Citation Record · LEDGER

A ConvNet for the 2020s

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 73 inbound Pith citation observations for arXiv:2201.03545.

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

pith.paper-citation-record.v1
2201.03545 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 73 of 73 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:11:15.000111Z

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

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External citation measurements

178
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 17d25f8e-eab0-4a41-b006-85c3d4cf062c · inbound

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks cites this paper.

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks A ConvNet for the 2020s

Reference 96

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arxiv_id, observed 2026-05-13T22:46:10.025076Z

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The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases A ConvNet for the 2020s

Reference 236

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WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images cites this paper.

WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images A ConvNet for the 2020s

Reference 40

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Observation 21d534b9-509c-428a-bac6-cc16bc079f0b · inbound

Introducing Milabench: Benchmarking Accelerators for AI cites this paper.

Introducing Milabench: Benchmarking Accelerators for AI A ConvNet for the 2020s

Reference 18

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Observation 335921f9-c7fe-4b73-be88-25a1eef5093d · inbound

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification cites this paper.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification A ConvNet for the 2020s

Reference 45

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Observation 9ca60266-d840-44bb-8678-27ade01131d0 · inbound

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach cites this paper.

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach A ConvNet for the 2020s

Reference 57

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Observation ad6bee63-5947-4902-a78c-3b2fc30fbc01 · inbound

Image Generation Diversity Issues and How to Tame Them cites this paper.

Image Generation Diversity Issues and How to Tame Them A ConvNet for the 2020s

Reference 29

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Observation 99d1fb14-e9c7-4dfd-af3d-a5c9306f4b5c · inbound

From Audio Deepfake Detection to AI-Generated Music Detection -- A Pathway and Overview cites this paper.

From Audio Deepfake Detection to AI-Generated Music Detection -- A Pathway and Overview A ConvNet for the 2020s

Reference 74

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Observation a04f393b-913f-407c-84ee-091702763074 · inbound

Ranking-aware adapter for text-driven image ordering with CLIP cites this paper.

Ranking-aware adapter for text-driven image ordering with CLIP A ConvNet for the 2020s

Reference 32

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Observation fe9fa969-caf9-499f-993b-3977a3980de6 · inbound

Err on the Side of Texture: Texture Bias on Real Data cites this paper.

Err on the Side of Texture: Texture Bias on Real Data A ConvNet for the 2020s

Reference 27

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Observation 76960844-ef52-4fcf-838d-7897aeaff9a5 · inbound

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing cites this paper.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing A ConvNet for the 2020s

Reference 76

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Observation eb4d7cdc-9883-4219-984f-4945968d2fab · inbound

ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation cites this paper.

ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation A ConvNet for the 2020s

Reference 30

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Observation b48caef7-ddfb-45d7-b744-e6ae75fb226f · inbound

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey cites this paper.

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey A ConvNet for the 2020s

Reference 272

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Observation ec86c907-b158-4732-a2f0-d70052d5dea1 · inbound

Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries cites this paper.

Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries A ConvNet for the 2020s

Reference 46

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Observation 25503855-c274-4ec1-a51b-5c8984e15991 · inbound

Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation cites this paper.

Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation A ConvNet for the 2020s

Reference 80

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Observation 657e7e0d-c32a-4efe-bd54-f9c02a317ccd · inbound

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction cites this paper.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction A ConvNet for the 2020s

Reference 19

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Observation 5099359b-d2c1-46e7-8b54-7c7085cde81f · 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 A ConvNet for the 2020s

Reference 13

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Approximate Message Passing for Bayesian Neural Networks cites this paper.

Approximate Message Passing for Bayesian Neural Networks A ConvNet for the 2020s

Reference 14

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Observation faf122d7-ddba-449c-a021-0ce0c4c6b4f9 · inbound

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling cites this paper.

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling A ConvNet for the 2020s

Reference 17

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Observation a9ef7989-9973-487f-b4e9-f3495ef344ab · inbound

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection cites this paper.

DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security Inspection A ConvNet for the 2020s

Reference 35

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Observation b9dac5e2-0918-403a-9e46-c53c17004c7b · inbound

DiffEx: Explaining a Classifier with Diffusion Models to Identify Microscopic Cellular Variations cites this paper.

DiffEx: Explaining a Classifier with Diffusion Models to Identify Microscopic Cellular Variations A ConvNet for the 2020s

Reference 34

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Observation b8a5d268-69cd-4e51-ad13-c4edfa28e134 · inbound

Thoughts on Objectives of Sparse and Hierarchical Masked Image Model cites this paper.

Thoughts on Objectives of Sparse and Hierarchical Masked Image Model A ConvNet for the 2020s

Reference 11

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Observation 7923eccb-8790-434e-917a-b6462101f1df · inbound

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment cites this paper.

Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment A ConvNet for the 2020s

Reference 23

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Observation dfbc3def-e85b-4a64-9556-d82efa799f81 · 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 A ConvNet for the 2020s

Reference 14

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Observation 510b10e2-07fe-4037-b339-f970f122ad57 · inbound

A Survey on Training-free Open-Vocabulary Semantic Segmentation cites this paper.

A Survey on Training-free Open-Vocabulary Semantic Segmentation A ConvNet for the 2020s

Reference 36

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Observation b5f2145f-e440-45f8-8c5e-b66943120abd · inbound

CASE: Contrastive Activation for Saliency Estimation cites this paper.

CASE: Contrastive Activation for Saliency Estimation A ConvNet for the 2020s

Reference 22

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Observation b6edb404-f1fb-49bb-849e-f4ad07166f14 · inbound

Predicting Genetic Mutations from Single-Cell Bone Marrow Images in Acute Myeloid Leukemia Using Noise-Robust Deep Learning Models cites this paper.

Predicting Genetic Mutations from Single-Cell Bone Marrow Images in Acute Myeloid Leukemia Using Noise-Robust Deep Learning Models A ConvNet for the 2020s

Reference 13

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Observation 7d51d0cf-dc00-484c-85be-c0ec0416e7d1 · inbound

Advancing Image-Based Grapevine Variety Classification with a New Benchmark and Evaluation of Masked Autoencoders cites this paper.

Advancing Image-Based Grapevine Variety Classification with a New Benchmark and Evaluation of Masked Autoencoders A ConvNet for the 2020s

Reference 60

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Observation 6d87b6c0-6800-4d39-b1c9-10a92d3a2a24 · inbound

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography cites this paper.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography A ConvNet for the 2020s

Reference 9

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Observation 1d315bc2-e21a-4d04-a218-6cf078e7ed76 · inbound

SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds from RGB Images for 2D Classification cites this paper.

SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds from RGB Images for 2D Classification A ConvNet for the 2020s

Reference 41

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Observation 9d771b6d-f481-40e7-84cf-b33cb4af27b5 · inbound

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

StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception A ConvNet for the 2020s

Reference 27

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Observation 110c084c-b95a-4607-8725-ee33d2b66475 · inbound

Bridging the gap in FER: addressing age bias in deep learning cites this paper.

Bridging the gap in FER: addressing age bias in deep learning A ConvNet for the 2020s

Reference 42

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Observation a3f9a9b3-2050-48a3-95dd-049d355a7008 · inbound

First-of-its-kind AI model for bioacoustic detection using a lightweight associative memory Hopfield neural network cites this paper.

First-of-its-kind AI model for bioacoustic detection using a lightweight associative memory Hopfield neural network A ConvNet for the 2020s

Reference 35

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Observation 29b0d897-e7ea-4173-ba9d-1012a8c0de57 · inbound

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale cites this paper.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale A ConvNet for the 2020s

Reference 33

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Observation 2c488006-6da8-4211-ac33-343461458fbf · inbound

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure cites this paper.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure A ConvNet for the 2020s

Reference 61

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Observation 3f0b1c43-b696-485f-97a8-c2cd5e75cfd0 · inbound

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks cites this paper.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks A ConvNet for the 2020s

Reference 38

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Observation eb06d2d1-ccbc-4a20-996d-efdc68ac2bcd · inbound

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing cites this paper.

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing A ConvNet for the 2020s

Reference 81

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Observation c82c90a5-5095-46a8-85c4-87af003664ea · inbound

Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification cites this paper.

Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification A ConvNet for the 2020s

Reference 23

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Observation 439311cc-71c4-444c-bed9-040cf4646e45 · inbound

Classifying Mitotic Figures in the MIDOG25 Challenge with Deep Ensemble Learning and Rule Based Refinement cites this paper.

Classifying Mitotic Figures in the MIDOG25 Challenge with Deep Ensemble Learning and Rule Based Refinement A ConvNet for the 2020s

Reference 12

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source=pdf_text observed=2026-08-05T14:45:53.673996Z digest=sha256:8548d3a70a8e19fdf672372ffd1bd5d9bd1a3fce47d025db69fd3a7f74bad09d

Observation 25be2599-90ca-45f2-9fac-322f77c9ab93 · inbound

REVELIO -- Universal Multimodal Task Load Estimation for Cross-Domain Generalization cites this paper.

REVELIO -- Universal Multimodal Task Load Estimation for Cross-Domain Generalization A ConvNet for the 2020s

Reference 25

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source=pdf_text observed=2026-08-05T12:24:26.353023Z digest=sha256:6b44e739fa8e00f72de6ffa723074f01a5a35d0c181bd830bde9585f880ee321

Observation 60c2dacc-899b-48ec-b402-0f8dd76514a6 · inbound

Revisiting Simple Baselines for In-The-Wild Deepfake Detection cites this paper.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection A ConvNet for the 2020s

Reference 14

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Observation 4a8c0f3a-8a1a-4d24-8a3a-4dc8521aa18f · inbound

Khana: A Comprehensive Indian Cuisine Dataset cites this paper.

Khana: A Comprehensive Indian Cuisine Dataset A ConvNet for the 2020s

Reference 16

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Observation bc31fdd0-e459-4c15-95f7-cc720853ae47 · inbound

HLGFA: High-Low Resolution Guided Feature Alignment for Unsupervised Anomaly Detection cites this paper.

HLGFA: High-Low Resolution Guided Feature Alignment for Unsupervised Anomaly Detection A ConvNet for the 2020s

Reference 12

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 54be3cdb-b1ad-412f-8948-62f1591afa58 · inbound

Model soups need only one ingredient cites this paper.

Model soups need only one ingredient A ConvNet for the 2020s

Reference 2022

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source=pdf_text observed=2026-08-03T02:51:55.440595Z digest=sha256:ab1fd817dd505de6891e7e53f9b9e4c7ed8053d3a5ffef24e06438117d45e159

Observation e2fa6f20-5524-48eb-bb0b-99a0ea6d4540 · inbound

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

Descriptor: Parasitoid Wasps and Associated Hymenoptera Dataset (DAPWH) A ConvNet for the 2020s

Reference 35

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arxiv_id, observed 2026-05-15T20:50:17.391033Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9f8ebb29-5e1e-41b9-bf62-e6a8e388f0bb · inbound

Geographically-Weighted Weakly Supervised Bayesian High-Resolution Transformer for 200m Resolution Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data cites this paper.

Geographically-Weighted Weakly Supervised Bayesian High-Resolution Transformer for 200m Resolution Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data A ConvNet for the 2020s

Reference 39

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Observation db7b5099-6f42-4fb5-99ac-df697ff1b283 · inbound

NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results cites this paper.

NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results A ConvNet for the 2020s

Reference 47

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arxiv_id, observed 2026-05-11T08:26:01.877624Z

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Observation 98bf2743-f6ea-435e-ba60-5b61b2b8e019 · inbound

NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results cites this paper.

NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results A ConvNet for the 2020s

Reference 47

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arxiv_id, observed 2026-05-14T21:27:59.823871Z

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Observation a9c6ad38-07c9-41d5-b551-1730212a4408 · inbound

Towards Real-Time ECG and EMG Modeling on $\mu$NPUs cites this paper.

Towards Real-Time ECG and EMG Modeling on $\mu$NPUs A ConvNet for the 2020s

Reference 33

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arxiv_id, observed 2026-05-10T06:01:13.519407Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 90cb6202-70ab-474a-a514-73359034531e · inbound

Only Brains Align with Brains: Cross-Region Alignment Patterns Expose Limits of Normative Models cites this paper.

Only Brains Align with Brains: Cross-Region Alignment Patterns Expose Limits of Normative Models A ConvNet for the 2020s

Reference 41

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arxiv_id, observed 2026-05-11T18:56:07.556663Z

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Observation 1c85eb31-f50c-4904-9058-a57776ab5401 · inbound

Generative diffusion models for spatiotemporal influenza forecasting cites this paper.

Generative diffusion models for spatiotemporal influenza forecasting A ConvNet for the 2020s

Reference 12

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arxiv_id, observed 2026-05-09T00:09:29.491623Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation de7b82c2-a009-45c5-b337-da841777c053 · inbound

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation cites this paper.

Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation A ConvNet for the 2020s

Reference 18

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verified exact
arxiv_id, observed 2026-05-12T08:46:25.634533Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2793abd3-ef87-4572-810a-fad63eeb79be · inbound

A Novel Graph-Regulated Disentangling Mamba Model with Sparse Tokens for Enhanced Tree Species Classification from MODIS Time Series cites this paper.

A Novel Graph-Regulated Disentangling Mamba Model with Sparse Tokens for Enhanced Tree Species Classification from MODIS Time Series A ConvNet for the 2020s

Reference 78

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arxiv_id, observed 2026-05-09T21:48:37.038855Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 54ebab35-7450-4a65-8f07-0c74e2e26e04 · inbound

AIMIP Phase 1: systematic evaluations of AI weather and climate models cites this paper.

AIMIP Phase 1: systematic evaluations of AI weather and climate models A ConvNet for the 2020s

Reference 22

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arxiv_id, observed 2026-05-20T23:09:12.365161Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bff39c7d-bdb2-4c12-b5b4-1667410bcdbe · inbound

AIMIP Phase 1: systematic evaluations of AI weather and climate models cites this paper.

AIMIP Phase 1: systematic evaluations of AI weather and climate models A ConvNet for the 2020s

Reference 22

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Observation cde1fa1c-fd0f-4a84-87bd-4347bb661f17 · inbound

AIMIP Phase 1: systematic evaluations of AI weather and climate models cites this paper.

AIMIP Phase 1: systematic evaluations of AI weather and climate models A ConvNet for the 2020s

Reference 22

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Observation df0210fc-678a-4010-8bba-05e55f90c12e · inbound

Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMs cites this paper.

Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMs A ConvNet for the 2020s

Reference 24

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arxiv_id, observed 2026-05-13T07:27:29.666150Z

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Observation 369cb43c-dab6-4411-b311-ab2af1fbcd07 · inbound

Generating synthetic computed tomography for radiotherapy: SynthRAD2025 challenge report cites this paper.

Generating synthetic computed tomography for radiotherapy: SynthRAD2025 challenge report A ConvNet for the 2020s

Reference 47

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arxiv_id, observed 2026-05-14T18:17:35.190295Z

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Observation 79b4ccc7-d078-403b-9e64-70e957da8e2c · inbound

Physics-informed convolutional neural networks for fluid flow through porous media cites this paper.

Physics-informed convolutional neural networks for fluid flow through porous media A ConvNet for the 2020s

Reference 25

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arxiv_id, observed 2026-05-21T08:24:03.522222Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 01eaec12-0e37-4a6c-8434-5df976e30860 · inbound

Hist2Style: Histogram-Guided Stylization with Bilateral Grids cites this paper.

Hist2Style: Histogram-Guided Stylization with Bilateral Grids A ConvNet for the 2020s

Reference 31

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arxiv_id, observed 2026-07-01T22:26:17.663163Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7ac24bb5-4567-4a58-babf-fe11e7cd616d · inbound

SPADE: Sketch-guided Path Planning Augmented with Diffusion Experts cites this paper.

SPADE: Sketch-guided Path Planning Augmented with Diffusion Experts A ConvNet for the 2020s

Reference 12

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arxiv_id, observed 2026-07-02T03:16:34.503050Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ad595387-7614-4c1e-8553-5cd5f2b29f19 · inbound

Spiral arms across cosmic time: JWST measurements of the pitch angles of spiral galaxies at $z<3.5$ cites this paper.

Spiral arms across cosmic time: JWST measurements of the pitch angles of spiral galaxies at $z<3.5$ A ConvNet for the 2020s

Reference 55

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arxiv_id, observed 2026-06-27T12:30:55.070520Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f963b167-fb0c-4087-8d15-af3c27863af8 · inbound

TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living cites this paper.

TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living A ConvNet for the 2020s

Reference 84

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arxiv_id, observed 2026-07-04T03:09:30.198638Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c7cecaa6-c869-4f75-87b0-adc22814f2d7 · inbound

Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI cites this paper.

Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI A ConvNet for the 2020s

Reference 51

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arxiv_id, observed 2026-07-04T13:09:50.655080Z

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Observation 0c814418-d099-4089-9edd-1f8c864f30e8 · inbound

ScaleAware-JEPA: Latent Representation for Discovery in Multiscale Physical Fields cites this paper.

ScaleAware-JEPA: Latent Representation for Discovery in Multiscale Physical Fields A ConvNet for the 2020s

Reference 62

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arxiv_id, observed 2026-06-30T08:04:28.631742Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6dda23b5-3bfe-4769-a12c-c8061311bc06 · inbound

LETT-NeXt: A Lightweight RECIST-Guided Model for 3D CT Lesion Segmentation cites this paper.

LETT-NeXt: A Lightweight RECIST-Guided Model for 3D CT Lesion Segmentation A ConvNet for the 2020s

Reference 17

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arxiv_id, observed 2026-06-30T06:54:20.427932Z

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Observation 8506bd27-ce87-4289-9bc3-61334ad0294c · inbound

Leveraging Multimodality for Real-Time Classification of Transients and Variables found by the Zwicky Transient Facility cites this paper.

Leveraging Multimodality for Real-Time Classification of Transients and Variables found by the Zwicky Transient Facility A ConvNet for the 2020s

Reference 56

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arxiv_id, observed 2026-07-02T17:07:12.037722Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 982ff3da-c32d-4859-ad33-6c28703c644d · inbound

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System cites this paper.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System A ConvNet for the 2020s

Reference 30

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Observation 18656830-ad78-4286-b6d1-5b1b818c44ec · inbound

C3DIR: A Deep Learning 3-Dimensional Cloud Property Retrieval Scheme for Passive Satellite Imagers cites this paper.

C3DIR: A Deep Learning 3-Dimensional Cloud Property Retrieval Scheme for Passive Satellite Imagers A ConvNet for the 2020s

Reference 52

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source=arxiv_source observed=2026-08-01T19:37:04.190732Z digest=sha256:8603af1f0383b1d2e9b30eaeb8b155952d63a0204a4aec5d8d2135b2e79f9a73

Observation c89745b7-2163-4248-913c-8946aac223c8 · inbound

ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling cites this paper.

ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling A ConvNet for the 2020s

Reference 36

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source=pdf_text observed=2026-08-01T12:48:17.176805Z digest=sha256:02a22d2f766299fe70ba49a05de9a60b5a7083a494ce838ffd6bcb2ce0845a62

Observation f6db68fc-7cb5-49bf-bb70-9c6d183484dc · inbound

Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning cites this paper.

Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning A ConvNet for the 2020s

Reference 33

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Observation de8564f3-9817-43c8-b185-e4f8ba04dc1d · inbound

Small, Bias-Free, Blind and Convolutional Denoiser: A compact ConvNeXt U-Net for blind Gaussian color-image denoising cites this paper.

Small, Bias-Free, Blind and Convolutional Denoiser: A compact ConvNeXt U-Net for blind Gaussian color-image denoising A ConvNet for the 2020s

Reference 5

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source=arxiv_source observed=2026-08-01T05:16:02.196682Z digest=sha256:eff8efaf8bf363de67f774ea14c6b04bffb3f2c1f656a11a8e236f614caabd34

Observation dc4c7987-b6e1-41e3-836e-38f18e285193 · inbound

A Controlled Visual-Backbone Benchmark for Multimodal Short-Term Solar Irradiance Forecasting cites this paper.

A Controlled Visual-Backbone Benchmark for Multimodal Short-Term Solar Irradiance Forecasting A ConvNet for the 2020s

Reference 1

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Source-reported events for the cited work

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