Paper Citation Record · LEDGER

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation

As of 12 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2501.15389.

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

pith.paper-citation-record.v1
2501.15389 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:22:52.355538Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:48:26.910138Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:02:36.502788Z

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy34
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6833ad23-8dd6-40d4-b61e-3bd8230cd182 · outbound

This paper cites Remote control: Debiasing remote sensing predictions for causal inference,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Remote control: Debiasing remote sensing predictions for causal inference,

Reference 1

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Observation ddb84fd8-65ad-49b3-9e39-8e941a24558a · outbound

This paper cites Bird distribution modelling using remote sensing and citizen science data,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Bird distribution modelling using remote sensing and citizen science data,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:22:53.145988Z

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Observation 6fd38c13-6b24-4b6a-9b2e-28035f670fa6 · outbound

This paper cites UCloudNet: A Residual U-Net with Deep Super- vision for Cloud Image Segmentation,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation UCloudNet: A Residual U-Net with Deep Super- vision for Cloud Image Segmentation,

Reference 3

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Observation 2589e7f3-089e-417b-a3f3-68ff71237f55 · outbound

This paper cites Day- ahead Forecasts of Air Temperature,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Day- ahead Forecasts of Air Temperature,

Reference 4

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Observation 2145a460-38b7-4640-8e55-4b9625b67299 · outbound

This paper cites Estimating heating loads in alaska using remote sensing and machine learning meth- ods,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Estimating heating loads in alaska using remote sensing and machine learning meth- ods,

Reference 5

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Observation f32dc92b-bf8d-45ed-a4ac-bab81ecc0391 · outbound

This paper cites Es- timation of air pollution with remote sensing data: Re- vealing greenhouse gas emissions from space,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Es- timation of air pollution with remote sensing data: Re- vealing greenhouse gas emissions from space,

Reference 6

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Observation fe53e823-8a4f-405a-87ee-b65c7c86edb8 · outbound

This paper cites Employing deep learning to quantify power plant greenhouse gas emissions via remote sensing data,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Employing deep learning to quantify power plant greenhouse gas emissions via remote sensing data,

Reference 7

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Observation c6453ce0-4e41-4d1a-9df5-0318119fbbe7 · outbound

This paper cites Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering,

Reference 8

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Observation c25ab8fa-8895-40ea-8056-e6b0742aaca0 · outbound

This paper cites Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Real-Time Localization and Bimodal Point Pattern Analysis of Palms Using UAV Imagery

Reference 9

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Observation 832f3332-5081-49b0-8d11-1e6c9308dc0f · outbound

This paper cites Leveraging domain adaptation for low-resource geospatial machine learning,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Leveraging domain adaptation for low-resource geospatial machine learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:22:53.007717Z

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Observation 5e72ca77-9505-4653-9a05-4c622ef77462 · outbound

This paper cites Toward foundation models for earth monitoring: Proposal for a climate change benchmark,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Toward foundation models for earth monitoring: Proposal for a climate change benchmark,

Reference 11

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Observation 8cc19fd9-d506-454b-8740-848aba1fc4be · outbound

This paper cites Deep learning in remote sensing scene classification: a data augmenta- tion enhanced convolutional neural network framework,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Deep learning in remote sensing scene classification: a data augmenta- tion enhanced convolutional neural network framework,

Reference 12

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Observation 7d8e703c-f3cf-461a-82e1-7d71decae464 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Improved Regularization of Convolutional Neural Networks with Cutout

Reference 13

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Observation 9bb57a26-9a3e-474d-a54c-879db38c723e · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Cutmix: Regularization strategy to train strong classifiers with localizable features,

Reference 14

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Observation f01e6883-ef5b-48c2-aa50-7ae4fd30907b · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Fully convolutional networks for semantic segmentation,

Reference 15

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Observation bf6d6b38-fb2a-4fb4-96fe-8722ed66926c · outbound

This paper cites U-net: Con- volutional networks for biomedical image segmentation,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation U-net: Con- volutional networks for biomedical image segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:22:52.911580Z

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Observation 393a9af4-4481-42a9-96af-fd410cd284c2 · outbound

This paper cites Encoder-decoder with atrous separable convo- lution for semantic image segmentation,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Encoder-decoder with atrous separable convo- lution for semantic image segmentation,

Reference 17

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Observation eca3457b-4d9e-45cb-8630-174e978852ea · outbound

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CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Unresolved cited work

Reference 18

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Observation 8612d67e-e514-4e43-9b22-7fa428172a28 · outbound

This paper cites Attention is all you need,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Attention is all you need,

Reference 19

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Observation 85103a16-b397-450d-9d3b-6a17757cd23b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 20

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Observation 2cfa32a6-20a1-4ede-a22f-63b50cd265d2 · outbound

This paper cites Aeri- alformer: Multi-resolution transformer for aerial image segmentation,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Aeri- alformer: Multi-resolution transformer for aerial image segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:22:52.847115Z

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Observation 59691e6e-ac0e-469a-8062-cd77930698ee · outbound

This paper cites RSI-Mix: Data Augmentation Method for Remote Sensing Image Classification,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation RSI-Mix: Data Augmentation Method for Remote Sensing Image Classification,

Reference 22

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Observation 98fc10b1-3055-4c60-8bdd-0194208dfdff · outbound

This paper cites Synthetic Data Augmentation for Earth Ob- servation Object Detection Tasks,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Synthetic Data Augmentation for Earth Ob- servation Object Detection Tasks,

Reference 23

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Observation 330480f6-0d59-47b8-abcd-38ee6948508c · outbound

This paper cites AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation,

Reference 24

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Observation b9b0b30d-1c7b-42a4-bc67-442eee60694f · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 25

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Observation 60782a16-6134-4609-a0db-e8ade9bea987 · outbound

This paper cites 2d semantic labeling contest - potsdam,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation 2d semantic labeling contest - potsdam,

Reference 26

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Observation 1696d794-0409-499a-831e-00c459e51350 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 27

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Observation 7bc4f129-1771-49a8-a716-2af9b35bca7b · outbound

This paper cites AMDCNet: An attentional multi-directional convolutional network for stereo matching,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation AMDCNet: An attentional multi-directional convolutional network for stereo matching,

Reference 28

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Observation a1e0c43d-6812-46a4-b96d-cf001db524b4 · outbound

This paper cites Stereo Matching Based on Visual Sensitive Information,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Stereo Matching Based on Visual Sensitive Information,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:22:52.725482Z

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Observation 6236aea8-a640-4937-a6d4-0d22221900d2 · outbound

This paper cites DMCNet: Diversified model combination network for understanding engagement from video screengrabs,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation DMCNet: Diversified model combination network for understanding engagement from video screengrabs,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:22:52.709806Z

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Observation 3a2653d9-591a-4482-b672-19e47b80ee1d · outbound

This paper cites VGRISys: A Vision-Guided Robotic Intelligent System for Autonomous Instrument Calibration*,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation VGRISys: A Vision-Guided Robotic Intelligent System for Autonomous Instrument Calibration*,

Reference 31

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Observation a352e06d-8e17-4deb-af6b-41e8ea4dbe32 · outbound

This paper cites AbHE: All Attention-Based Homography Estimation,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation AbHE: All Attention-Based Homography Estimation,

Reference 32

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Observation 52268878-087b-4833-a477-03ae665f3b78 · outbound

This paper cites Fanuc manipulation: A dataset for learning- based manipulation with fanuc mate 200id robot,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Fanuc manipulation: A dataset for learning- based manipulation with fanuc mate 200id robot,

Reference 33

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Observation 52603d04-59c3-46c8-b002-b46f2dcbc93f · outbound

This paper cites AirShot: Efficient Few-Shot Detection for Autonomous Exploration.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation AirShot: Efficient Few-Shot Detection for Autonomous Exploration

Reference 34

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Observation 41c9d8b6-4d85-4476-a308-41dfcc399bb9 · outbound

This paper cites ONLS: OPTIMAL NOISE LEVEL SEARCH IN DIFFUSION AUTOENCODERS WITHOUT FINE- TUNING,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation ONLS: OPTIMAL NOISE LEVEL SEARCH IN DIFFUSION AUTOENCODERS WITHOUT FINE- TUNING,

Reference 35

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Observation 7cc02e5d-871e-44c8-b6b4-ccbdfe6704f8 · outbound

This paper cites SYGNet: A SVD-YOLO based GhostNet for Real- time Driving Scene Parsing,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation SYGNet: A SVD-YOLO based GhostNet for Real- time Driving Scene Parsing,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:22:52.622992Z

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Observation 83501ca7-0cc7-4fa9-a684-de6217c83e52 · outbound

This paper cites DAANet: Dual Attention Aggregating Network for Salient Object Detection,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation DAANet: Dual Attention Aggregating Network for Salient Object Detection,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:22:52.604125Z

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Observation c3a0da97-b808-48f8-9df1-6507df6126dc · outbound

This paper cites CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post- decoder Refinement,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post- decoder Refinement,

Reference 38

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Observation d0cff0a2-669a-4106-9336-47d9821b5962 · outbound

This paper cites Optimized Hard Exudate Detection with Supervised Contrastive Learning,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Optimized Hard Exudate Detection with Supervised Contrastive Learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:22:52.573029Z

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Observation 8d9a0f68-13a1-482a-93ad-6ed916555bdd · outbound

This paper cites Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Accurate detection and instance segmentation of unstained living adherent cells in differential interference contrast images,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:22:52.557030Z

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Observation 82d7dcd8-3988-4931-8376-6ccad52ed2ae · outbound

This paper cites AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation,.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation,

Reference 41

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Observation 7eaf0d5c-5cc1-48e5-82e5-bb17745ffb2f · outbound

This paper cites MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation

Reference 42

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Observation f481fd9e-144f-4c6c-8185-b7728c86247d · outbound

This paper cites Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation.

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation

Reference 43

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Pith citing papers

Observation bc9d964f-d6cd-4343-b721-b8251fc106a8 · inbound

RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction cites this paper.

RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation

Reference 19

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Observation 1b929d2d-b094-4594-b215-a5ce0af36bb7 · inbound

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting cites this paper.

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:02:36.584843Z

Source-reported events for the cited work

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