Paper Citation Record · LEDGER

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2412.13394.

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pith.paper-citation-record.v1
2412.13394 v2

Coverage vector

measured 40 of 40 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation dc4d8b4b-19d3-49af-9c8d-2d638ea8b3e5 · outbound

This paper cites Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:16:37.925556Z

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Observation 54d963a5-bc57-4068-a70d-87a6de811f9c · outbound

This paper cites Detecting out-of- distribution earth observation images with diffusion models,.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Detecting out-of- distribution earth observation images with diffusion models,

Reference 2

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Observation 1c86da82-8678-4a9a-9645-0e83d83562ce · outbound

This paper cites Hybrid dnn-dirichlet anomaly detection and ranking: Case of burned areas discovery.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Hybrid dnn-dirichlet anomaly detection and ranking: Case of burned areas discovery

Reference 3

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Observation a8abf0ca-d141-4430-8acd-c7b3aaf11d8a · outbound

This paper cites Extremely simple activation shaping for out- of-distribution detection.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Extremely simple activation shaping for out- of-distribution detection

Reference 4

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Observation 47d5ee47-c2ad-4708-a82a-94baa2029a5e · outbound

This paper cites Nng-mix: Improving semi-supervised anomaly detection with pseudo-anomaly generation.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Nng-mix: Improving semi-supervised anomaly detection with pseudo-anomaly generation

Reference 5

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Observation 287c1ae9-81b5-4a14-ab15-909f23c7db68 · outbound

This paper cites Out-of-distribution detection in satellite image classification, 2021.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Out-of-distribution detection in satellite image classification, 2021

Reference 6

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Observation bf9c6c6e-8405-4a82-89b6-d04aa310bd0e · outbound

This paper cites Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification

Reference 7

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Observation 7acf6f94-c910-43c3-844c-754a05da529e · outbound

This paper cites Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression

Reference 8

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Observation 141a57af-f6c0-4efd-b7fb-9dd5bea8e3f3 · outbound

This paper cites On calibration of modern neural networks.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation On calibration of modern neural networks

Reference 9

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Observation bef92047-439f-4f8a-82d2-de6dc9c07bb4 · outbound

This paper cites xbd: A dataset for assessing building dam- age from satellite imagery, 2019.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation xbd: A dataset for assessing building dam- age from satellite imagery, 2019

Reference 10

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Observation 831fe72c-197a-499f-ab39-720a19b588d9 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level per- formance on imagenet classification.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Delving deep into rectifiers: Surpassing human-level per- formance on imagenet classification

Reference 11

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Observation 6f639be1-5a32-402f-b3b0-aa74922791e6 · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification, 2019.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification, 2019

Reference 12

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Observation ec5d28fd-cc8a-4052-bf0e-17cc394116fe · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 13

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Observation 76afa5b8-90c9-440a-a3c4-8cd61444ca46 · outbound

This paper cites Lavista Ferres, and Jennifer Marcus.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Lavista Ferres, and Jennifer Marcus

Reference 14

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Observation 554a87df-41a9-4de6-840f-8c297622e51a · outbound

This paper cites How accurate are existing land cover maps for agri- culture in sub-saharan africa? Scientific Data, 11(1):486,.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation How accurate are existing land cover maps for agri- culture in sub-saharan africa? Scientific Data, 11(1):486,

Reference 15

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Observation 42144403-1467-4822-98ab-c587b1041f0f · outbound

This paper cites Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels

Reference 16

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Observation 18dae45c-b0ad-44d2-9c8d-9983a2e6e155 · outbound

This paper cites Wilds: A benchmark of in-the- wild distribution shifts.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Wilds: A benchmark of in-the- wild distribution shifts

Reference 17

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Observation ebb0df30-1f66-4c28-a5b6-c58d460a8098 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Imagenet classification with deep convolutional neural net- works

Reference 18

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Observation d3460271-9a4b-4e98-b303-aab7f963d46b · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks, 2018.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation A simple unified framework for detecting out-of-distribution samples and adversarial attacks, 2018

Reference 19

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Observation 56405eab-2979-4bbe-9ee0-f1a71398c7ee · outbound

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Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Unresolved cited work

Reference 20

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Observation 2a9aed33-9048-46b5-b9de-59ffd0f85f61 · outbound

This paper cites Owens, and Yixuan Li.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Owens, and Yixuan Li

Reference 21

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Observation 4b3d04fb-0239-4c88-820b-4070e356577b · outbound

This paper cites Owens, and Yixuan Li.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Owens, and Yixuan Li

Reference 22

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Observation b1834192-c621-4a5e-ba28-6f9881384419 · outbound

This paper cites Revisiting the calibration of modern neu- ral networks, 2021.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Revisiting the calibration of modern neu- ral networks, 2021

Reference 23

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Observation f09594ff-27ed-4a4b-8715-06b5e8f5b11c · outbound

This paper cites Deep neural networks are easily fooled: High confidence predictions for unrecognizable images.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

Reference 24

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Observation 6c3f1ec4-a842-46f8-8b5b-73801e8c6af7 · outbound

This paper cites Detection of out- of-distribution samples using binary neuron activation pat- terns, 2023.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Detection of out- of-distribution samples using binary neuron activation pat- terns, 2023

Reference 25

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Observation cd84784e-c568-47d8-941d-d0c1e6bae4a6 · outbound

This paper cites Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Mission Critical -- Satellite Data is a Distinct Modality in Machine Learning

Reference 26

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Observation a8a9b7dd-634c-4fd1-b633-e2b0d5072564 · outbound

This paper cites Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space

Reference 27

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Observation 295c7b94-ee3a-4bb3-aca2-1346f3af746d · outbound

This paper cites mi- crosoft/planetarycomputer: October 2022, 2022.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation mi- crosoft/planetarycomputer: October 2022, 2022

Reference 28

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Observation ee4bd21f-a5a0-4dd7-a0f4-3b3d1669c87d · outbound

This paper cites Dice: Leveraging sparsification for out-of-distribution detection, 2022.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Dice: Leveraging sparsification for out-of-distribution detection, 2022

Reference 29

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Observation fce9b020-cd42-410e-8a41-fede678f6209 · outbound

This paper cites React: Out-of- distribution detection with rectified activations, 2021.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation React: Out-of- distribution detection with rectified activations, 2021

Reference 30

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Observation 5955aeb1-65bd-440f-8fa8-fbaaf560db7a · outbound

This paper cites Intriguing properties of neural networks.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Intriguing properties of neural networks

Reference 31

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This paper cites In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness

Reference 32

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Observation 179bca33-69be-42d9-a7fc-e0a3dd462981 · outbound

This paper cites EuroSAT EuroSAT [12] is a scene classification dataset derived from Sentinel-2 satellite images, covering various loca- tions across Europe.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation EuroSAT EuroSAT [12] is a scene classification dataset derived from Sentinel-2 satellite images, covering various loca- tions across Europe

Reference 34

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Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Unresolved cited work

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Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Unresolved cited work

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Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Unresolved cited work

Reference 37

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Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Unresolved cited work

Reference 38

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Observation c660b613-ebca-4961-8d35-d4d4a225af93 · outbound

This paper cites We summarize the OOD detection performance across all experiments on the EuroSAT and xBD datasets un- der different downsampling methods in Table 6, using the FPR95 metric.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation We summarize the OOD detection performance across all experiments on the EuroSAT and xBD datasets un- der different downsampling methods in Table 6, using the FPR95 metric

Reference 39

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Observation b09e3a60-5dd2-4b08-bcf1-cff64d973692 · outbound

This paper cites The model f trains on 9 classes (excludingForest) and tests on Forest.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation The model f trains on 9 classes (excludingForest) and tests on Forest

Reference 40

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Observation 3bbc542c-890e-46c6-96b9-7d8ba3e61186 · outbound

This paper cites Next, we evaluate the impact of various design choices, including layer selec- tion, downsampling methods, classifiers, and surrogate la- bel assignment hyperparameters.

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Next, we evaluate the impact of various design choices, including layer selec- tion, downsampling methods, classifiers, and surrogate la- bel assignment hyperparameters

Reference 2020

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