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Paper Citation Record · LEDGER

MoWE : A Mixture of Weather Experts

As of 6 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2509.09052.

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

pith.paper-citation-record.v1
2509.09052 v1

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measured 31 of 31 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T19:49:23.414137Z

measured 32 of 32 standing notices

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Source: paper_references, paper_reference_links, observed 2026-06-28T15:56:05.072203Z

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Source: arxiv_reference, observed 2026-07-01T21:56:16.242220Z

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31 of 31 outbound references displayed

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Outbound references

Observation 7d80d333-a84d-4168-8346-c8a2c8a84374 · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

MoWE : A Mixture of Weather Experts FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 1

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Observation 5d49480c-2032-4dca-aed6-b65516ff4514 · outbound

This paper cites Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast.

MoWE : A Mixture of Weather Experts Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

Reference 2

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Observation b3ae20a5-04f5-4823-89d7-b2d23ae628df · outbound

This paper cites Learning skillful medium-range global weather forecasting.Science, 382(6677):1416–1421, 2023.

MoWE : A Mixture of Weather Experts Learning skillful medium-range global weather forecasting.Science, 382(6677):1416–1421, 2023

Reference 3

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Observation 0b699aaa-b457-4bfe-9145-49072b3d5d9b · outbound

This paper cites A foundation model for the earth system.Nature, pages 1–8, 2025.

MoWE : A Mixture of Weather Experts A foundation model for the earth system.Nature, pages 1–8, 2025

Reference 4

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Observation 750245aa-cdd4-410d-a1ae-629fcfcea583 · outbound

This paper cites Scaling transformers for skillful and reliable medium-range weather forecasting.

MoWE : A Mixture of Weather Experts Scaling transformers for skillful and reliable medium-range weather forecasting

Reference 5

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source=pdf_text observed=2026-08-04T19:49:23.307164Z digest=sha256:afbd0adddd6fc78171a4e7fb2c8b9df63404c49f1f1de9e15588b257ec0d6521

Observation db03cdea-26de-43ea-adc2-b81938d8e725 · outbound

This paper cites Fengwu: Pushing the skillful global medium-range weather forecast beyond 10 days lead.

MoWE : A Mixture of Weather Experts Fengwu: Pushing the skillful global medium-range weather forecast beyond 10 days lead

Reference 6

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Observation 9282c624-de79-48d8-88fd-3c1861385c0e · outbound

This paper cites Fuxi: a cascade machine learning forecasting system for 15-day global weather forecast.npj climate and atmospheric science, 6(1):190, 2023.

MoWE : A Mixture of Weather Experts Fuxi: a cascade machine learning forecasting system for 15-day global weather forecast.npj climate and atmospheric science, 6(1):190, 2023

Reference 7

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Observation 2a1d2966-1aa6-4625-8576-8ecf0c33832a · outbound

This paper cites Neural general circulation models for weather and climate.Nature, 632(8027):1060–1066, 2024.

MoWE : A Mixture of Weather Experts Neural general circulation models for weather and climate.Nature, 632(8027):1060–1066, 2024

Reference 8

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Observation 09f72d8a-69dc-4cec-93ee-c67f002b2caa · outbound

This paper cites GenCast: Diffusion-based ensemble forecasting for medium-range weather.

MoWE : A Mixture of Weather Experts GenCast: Diffusion-based ensemble forecasting for medium-range weather

Reference 9

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Observation f2a7473d-ce7e-43d0-b140-95739eaf21cf · outbound

This paper cites AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score.

MoWE : A Mixture of Weather Experts AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score

Reference 10

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Observation 2af550da-7c23-4674-9bfa-9e585edada55 · outbound

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

MoWE : A Mixture of Weather Experts FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 11

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Observation aeb543be-99c1-46cc-8f1c-8c8335735ec6 · outbound

This paper cites Analyzing and exploring training recipes for large-scale transformer-based weather prediction.Artificial Intelligence for the Earth Systems, 4(2):240061, 2025.

MoWE : A Mixture of Weather Experts Analyzing and exploring training recipes for large-scale transformer-based weather prediction.Artificial Intelligence for the Earth Systems, 4(2):240061, 2025

Reference 12

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Observation 10b5d26b-a0ab-41c1-993d-77c9e76be47f · outbound

This paper cites Weatherbench 2: A benchmark for the next generation of data-driven global weather models.Journal of Advances in Modeling Earth Systems, 16(6):e2023MS004019, 2024.

MoWE : A Mixture of Weather Experts Weatherbench 2: A benchmark for the next generation of data-driven global weather models.Journal of Advances in Modeling Earth Systems, 16(6):e2023MS004019, 2024

Reference 13

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Observation 77c45f1f-6f38-4cda-9a59-d96de43c561f · outbound

This paper cites On some limitations of current machine learning weather prediction models.Geophysical Research Letters, 51(12):e2023GL107377, 2024.

MoWE : A Mixture of Weather Experts On some limitations of current machine learning weather prediction models.Geophysical Research Letters, 51(12):e2023GL107377, 2024

Reference 14

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Observation 3e3df99c-109a-4c15-b237-8bee27b23374 · outbound

This paper cites an unresolved cited work.

MoWE : A Mixture of Weather Experts Unresolved cited work

Reference 15

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Observation 97980ca8-d1a4-446f-9015-56f390a4133a · outbound

This paper cites Advancing parsimonious deep learning weather prediction using the healpix mesh.Journal of Advances in Modeling Earth Systems, 16(8):e2023MS004021, 2024.

MoWE : A Mixture of Weather Experts Advancing parsimonious deep learning weather prediction using the healpix mesh.Journal of Advances in Modeling Earth Systems, 16(8):e2023MS004021, 2024

Reference 16

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Observation 3c716c08-2430-4f46-8981-b16294d5b4c8 · outbound

This paper cites ACE: A fast, skillful learned global atmospheric model for climate prediction.

MoWE : A Mixture of Weather Experts ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 17

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Observation 06934b9d-72e3-407c-835c-c99b419d5266 · outbound

This paper cites Towards Stability of Autoregressive Neural Operators.

MoWE : A Mixture of Weather Experts Towards Stability of Autoregressive Neural Operators

Reference 18

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Observation 8111c27b-17be-46c7-ab32-d6f7502e6e8a · outbound

This paper cites A practical probabilistic benchmark for ai weather models.Geophysical Research Letters, 52(7):e2024GL113656, 2025.

MoWE : A Mixture of Weather Experts A practical probabilistic benchmark for ai weather models.Geophysical Research Letters, 52(7):e2024GL113656, 2025

Reference 19

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Observation 4d75b4f3-bcd3-43f2-b2e4-7589cd316565 · outbound

This paper cites Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators.

MoWE : A Mixture of Weather Experts Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators

Reference 20

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Observation 476d7c1f-461f-4124-b14b-0e46cfd50596 · outbound

This paper cites Skillful joint probabilistic weather forecasting from marginals.

MoWE : A Mixture of Weather Experts Skillful joint probabilistic weather forecasting from marginals

Reference 21

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Observation 903c0803-59ec-4160-88e3-e709c7cfcd35 · outbound

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MoWE : A Mixture of Weather Experts Unresolved cited work

Reference 22

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Observation ebdae76a-4f06-4be5-911b-206255e0b3a5 · outbound

This paper cites Predictability limit of the 2021 pacific northwest heatwave from deep- learning sensitivity analysis.Geophysical Research Letters, 51(19):e2024GL110651, 2024.

MoWE : A Mixture of Weather Experts Predictability limit of the 2021 pacific northwest heatwave from deep- learning sensitivity analysis.Geophysical Research Letters, 51(19):e2024GL110651, 2024

Reference 23

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Observation f9e8ff77-b1c9-410c-8cd6-4f0117523032 · outbound

This paper cites European Centre for Medium Range Weather Forecasts, 2018.

MoWE : A Mixture of Weather Experts European Centre for Medium Range Weather Forecasts, 2018

Reference 24

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MoWE : A Mixture of Weather Experts Unresolved cited work

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Observation 0e936f36-bbfb-4d2e-9f86-d86e32a41c44 · outbound

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MoWE : A Mixture of Weather Experts Unresolved cited work

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Observation 3009001f-e6e3-4617-9583-1a7880688b81 · outbound

This paper cites Evaluation of five global ai models for predicting weather in eastern asia and western pacific.npj Climate and Atmospheric Science, 7(1):221, 2024.

MoWE : A Mixture of Weather Experts Evaluation of five global ai models for predicting weather in eastern asia and western pacific.npj Climate and Atmospheric Science, 7(1):221, 2024

Reference 27

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Observation 0a2542f7-7a8c-4339-8a49-128ddaee9e33 · outbound

This paper cites Piggycast: Improving weather prediction.

MoWE : A Mixture of Weather Experts Piggycast: Improving weather prediction

Reference 28

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Observation ddb6151f-ba28-45e2-9064-a78d67a4f8f0 · outbound

This paper cites Scalable diffusion models with transformers.

MoWE : A Mixture of Weather Experts Scalable diffusion models with transformers

Reference 29

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Observation c43a484a-d0e7-41ae-bb1a-a2f1a75fc739 · outbound

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

MoWE : A Mixture of Weather Experts An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 30

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This paper cites Perceiver IO: A General Architecture for Structured Inputs & Outputs.

MoWE : A Mixture of Weather Experts Perceiver IO: A General Architecture for Structured Inputs & Outputs

Reference 31

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Pith citing papers

Observation f74fcc5d-4e52-4bf2-b42a-e1e28653ce2f · inbound

AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret cites this paper.

AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret MoWE : A Mixture of Weather Experts

Reference 11

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