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Paper Citation Record · LEDGER

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting

As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2507.18378.

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

pith.paper-citation-record.v1
2507.18378 v1

Coverage vector

measured 45 of 45 reference resolution

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T01:37:34.642691Z

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

Source: arxiv_reference, observed 2026-05-14T01:38:35.628802Z

Reference resolution

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation d3aa33d5-caad-4700-9464-3b8292ddc712 · outbound

This paper cites Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings

Reference 1

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This paper cites AROME-MetCoOp: A nordic convective-scale operational weather prediction model.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting AROME-MetCoOp: A nordic convective-scale operational weather prediction model

Reference 2

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This paper cites High resolution regional re-analysis ensemble for Austria.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting High resolution regional re-analysis ensemble for Austria

Reference 3

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Observation 8730539c-4e94-436e-9f09-0cf73ad33255 · outbound

This paper cites The HARMONIE–AROME Model Configuration in the ALADIN–HIRLAM NWP System.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting The HARMONIE–AROME Model Configuration in the ALADIN–HIRLAM NWP System

Reference 4

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Observation ba82a16c-8cef-4779-97cb-4135671e08b4 · outbound

This paper cites Accurate medium-range global weather forecasting with 3D neural networks.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Accurate medium-range global weather forecasting with 3D neural networks

Reference 5

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This paper cites A foundation model for the Earth system.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting A foundation model for the Earth system

Reference 6

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Observation e1b830d6-1337-473c-b938-433ba1f83e5c · outbound

This paper cites The Rise of Data-Driven Weather Forecasting: A First Statistical Assess- ment of Machine Learning–Based Weather Forecasts in an Operational-Like Context.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting The Rise of Data-Driven Weather Forecasting: A First Statistical Assess- ment of Machine Learning–Based Weather Forecasts in an Operational-Like Context

Reference 7

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This paper cites Developments in MLflow: A System to Accelerate the Machine Learning Life- cycle.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Developments in MLflow: A System to Accelerate the Machine Learning Life- cycle

Reference 8

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Unresolved cited work

Reference 9

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This paper cites FuXi: a cascade machine learning forecasting system for 15-day global weather forecast.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting FuXi: a cascade machine learning forecasting system for 15-day global weather forecast

Reference 10

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This paper cites Dramsch et al.Introducing Anemoi: a new collaborative framework for ML weather forecasting.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Dramsch et al.Introducing Anemoi: a new collaborative framework for ML weather forecasting

Reference 11

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This paper cites Challenges and design choices for global weather and climate models based on machine learning.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Challenges and design choices for global weather and climate models based on machine learning

Reference 12

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Unresolved cited work

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Unresolved cited work

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This paper cites Could Machine Learning Break the Convection Parameterization Deadlock?.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Could Machine Learning Break the Convection Parameterization Deadlock?

Reference 15

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Unresolved cited work

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting The ERA5 global reanalysis

Reference 17

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Regional climate downscaling over Europe : perspectives from the EURO- CORDEX community

Reference 18

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Forecasting Global Weather with Graph Neural Networks

Reference 19

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Learning skillful medium-range global weather forecasting

Reference 20

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting AIFS -- ECMWF's data-driven forecasting system

Reference 21

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Decoupled Weight Decay Regularization

Reference 23

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting A Neural Network for Tornado Prediction Based on Doppler Radar-Derived Attributes

Reference 24

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting A Neural Network Short-Term Forecast of Significant Thunderstorms

Reference 25

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Unresolved cited work

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Regional data-driven weather modeling with a global stretched-grid

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting GPT-4 Technical Report

Reference 29

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Graph-based Neural Weather Prediction for Limited Area Modeling

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting GenCast: Diffusion-based ensemble forecasting for medium-range weather

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting 2024-2025

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Data-Driven Medium-Range Weather Prediction With a Resnet Pretrained on Climate Simulations: A New Model for WeatherBench

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A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting CERRA, the Copernicus European Regional Reanalysis system

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This paper cites Potential and Limitations of Machine Learning for Modeling Warm- Rain Cloud Microphysical Processes.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Potential and Limitations of Machine Learning for Modeling Warm- Rain Cloud Microphysical Processes

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Observation 7fb2df0e-cf9b-4596-b7a9-52e798890a91 · outbound

This paper cites The AROME-France convective-scale operational model.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting The AROME-France convective-scale operational model

Reference 37

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Observation e92b700b-ed29-4c69-ac3d-59a7288d8907 · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 38

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Observation aab5e7b4-0442-42a5-b112-80c1693b4c25 · outbound

This paper cites Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function

Reference 39

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Observation 01349327-e1d3-4164-aa72-a41bbe0da2c3 · outbound

This paper cites The ALADIN System and its canonical model configurations AROME CY41T1 and ALARO CY40T1.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting The ALADIN System and its canonical model configurations AROME CY41T1 and ALARO CY40T1

Reference 40

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Observation fae79c75-5afb-4385-855e-d71eec87aa46 · outbound

This paper cites Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500-hPa Geopotential Height From Historical Weather Data.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500-hPa Geopotential Height From Historical Weather Data

Reference 42

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Observation efff6072-ff70-4ae0-b4da-261a2259d687 · outbound

This paper cites an unresolved cited work.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Unresolved cited work

Reference 43

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Source-reported events for the cited work

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Observation ebf972cd-caf6-44eb-ad41-30bc0ba4a6ff · outbound

This paper cites ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast

Reference 45

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Observation 2f245a88-9dab-4e74-9c6f-6f07d6f8e3ee · outbound

This paper cites FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting

Reference 2024

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Observation 7ec89a5e-9a27-4690-a797-8ab2710d773c · outbound

This paper cites Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion.

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion

Reference 2025

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Pith citing papers

Observation 6e81ff82-3962-4b23-8a39-a8b35ac47485 · inbound

Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models cites this paper.

Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting

Reference 19

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