Paper Citation Record · LEDGER

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

As of 15 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 33 inbound Pith citation observations for arXiv:2507.12144.

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

pith.paper-citation-record.v1
2507.12144 v2

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:00:00.918024Z

measured 110 of 110 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:05:23.195543Z

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

Reference resolution

77 of 77 outbound references displayed

verified exact8
verified fuzzy10
unresolved57
parse uncertain1
malformed identifier0
metadata mismatch1

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation bc497943-7cb0-45d5-b6f9-b9f08f48259a · outbound

This paper cites The origins of computer weather prediction and climate modeling.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale The origins of computer weather prediction and climate modeling

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:52.131023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ab05eaf-979f-455a-872d-76ee8f2f636a · outbound

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

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:52.232578Z

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Observation f878a74b-457e-487c-b1b1-34fabf6997f0 · outbound

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

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:52.311396Z

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Observation 4f144221-0fc6-4879-8e8b-476109c4d303 · outbound

This paper cites GraphCast: Learning skillful medium-range global weather forecasting.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale GraphCast: Learning skillful medium-range global weather forecasting

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:52.373738Z

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Observation 6a82485d-46bc-4bda-9282-12234a5a12eb · outbound

This paper cites FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:52.421793Z

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Observation 6d0ab8ce-4850-4dba-8715-0166615babec · outbound

This paper cites Andersson, Andrew El-Kadi, Dominic Masters, Timo Ewalds, Jacklynn Stott, Shakir Mohamed, Peter Battaglia, Remi Lam, and Matthew Willson.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Andersson, Andrew El-Kadi, Dominic Masters, Timo Ewalds, Jacklynn Stott, Shakir Mohamed, Peter Battaglia, Remi Lam, and Matthew Willson

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:52.516104Z

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Observation 87221701-690e-4493-b3b2-35db1ec02ce0 · outbound

This paper cites Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:52.591003Z

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Observation d40f2914-c5b7-41b8-a690-a7cdeb94b8cb · outbound

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

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators

Reference 8

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Observation 2e58cce1-4b8a-4bd6-a1d3-7d0742edbbb5 · outbound

This paper cites Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:52.775313Z

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Observation 1a6e3ef7-74e7-4dff-90af-e2013ac943bb · outbound

This paper cites Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:52.863009Z

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Observation 216e29f9-1311-43ee-b1fd-8dafc778c36a · outbound

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

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 11

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Observation dd880aef-7a57-4d07-bbc4-6befa65bf902 · outbound

This paper cites Durran, Raul A.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Durran, Raul A

Reference 12

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Observation 58d52592-bcfa-43d3-be81-6205ec73c9d5 · outbound

This paper cites LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles

Reference 13

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Observation 04f2b457-e992-4f34-8d5c-bf663b0683f3 · outbound

This paper cites Espinosa, Raul Moreno, and Matthias Karlbauer.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Espinosa, Raul Moreno, and Matthias Karlbauer

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:53.134871Z

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Observation 5271a4ae-975f-484c-96e4-4a33d6b09f4d · outbound

This paper cites Dynamical errors in machine learning forecasts.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Dynamical errors in machine learning forecasts

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:00:04.464472Z

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Observation 264c11f5-bc70-48fe-94d7-52d3c9c0228e · outbound

This paper cites Brenner, and Stephan Hoyer.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Brenner, and Stephan Hoyer

Reference 16

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Observation 640f1a80-975e-45d1-8a12-9ed1992bf7b9 · outbound

This paper cites WeatherBench 2: A benchmark for the next generation of data-driven global weather models.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:53.383038Z

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Observation ba9dd0b2-bba1-4e9e-b023-c353be26e0d0 · outbound

This paper cites A Practical Probabilistic Benchmark for AI Weather Models.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale A Practical Probabilistic Benchmark for AI Weather Models

Reference 18

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Observation df29ac88-deed-4a98-a6bf-335f1ac7ac0b · outbound

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

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function

Reference 19

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Observation b8e80ecf-5ef5-4ab6-8af6-1e09525b715d · outbound

This paper cites AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning, 8.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning, 8

Reference 20

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Observation 182da92b-1a08-47cd-9361-8d924aac3d0e · outbound

This paper cites Continuous Ensemble Weather Forecasting with Diffusion models.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Continuous Ensemble Weather Forecasting with Diffusion models

Reference 21

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Observation e2ccab6f-00d9-4398-9b5e-01a206352268 · outbound

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

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score

Reference 22

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Observation 0b0633f8-17bd-43bb-9dce-742f07b66708 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Denoising Diffusion Probabilistic Models

Reference 23

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Observation 7734ff84-170b-41fd-9c9e-0bb52dfa24be · outbound

This paper cites Strictly Proper Scoring Rules, Prediction, and Estimation.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Strictly Proper Scoring Rules, Prediction, and Estimation

Reference 24

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Observation dbd4121d-e8d7-41d5-b0da-c547ef9be1eb · outbound

This paper cites Lecture notes in computational science and engineering ; 80.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Lecture notes in computational science and engineering ; 80

Reference 25

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Observation 369a6a77-f21c-4c9e-9d27-3f5c18b522bd · outbound

This paper cites Attention Is All You Need.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Attention Is All You Need

Reference 26

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Observation 5c784080-ed1f-4276-a5a7-baf6ceb0c4a8 · outbound

This paper cites Learning Mesh-Based Simulation with Graph Networks.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Learning Mesh-Based Simulation with Graph Networks

Reference 27

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Observation fefad0c6-7a34-4c4b-861b-129a5c4d9b73 · outbound

This paper cites Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei

Reference 28

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Observation 1a86ace6-d611-4c3d-b250-1458835b4454 · outbound

This paper cites Evaluation of ecmwf forecasts.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Evaluation of ecmwf forecasts

Reference 29

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Observation f5dfe865-95e4-4743-92ae-53187f77cef8 · outbound

This paper cites Stochastic Parametrization and Model Uncertainty.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Stochastic Parametrization and Model Uncertainty

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:06.550170Z

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Observation bf5df1d0-089e-4e35-b3c5-0f7b20a3654a · outbound

This paper cites Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions

Reference 31

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This paper cites Neural Operators with Localized Integral and Differential Kernels.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Neural Operators with Localized Integral and Differential Kernels

Reference 32

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This paper cites A ConvNet for the 2020s.

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

Reference 33

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This paper cites Gaussian Error Linear Units (GELUs).

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Gaussian Error Linear Units (GELUs)

Reference 34

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This paper cites Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training

Reference 35

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This paper cites DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters

Reference 36

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Reference 37

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale GPT-4 Technical Report

Reference 38

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale The Llama 3 Herd of Models

Reference 39

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale The ERA5 global reanalysis

Reference 40

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Data-driven ensemble forecasting with the aifs

Reference 41

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Consistency Models

Reference 42

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Generative Adversarial Networks

Reference 43

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Driscoll and D.M

Reference 44

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale A novel sampling theorem on the sphere

Reference 45

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale A method for numerical integration on an automatic computer

Reference 46

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Golub and John H

Reference 47

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Group Equivariant Convolutional Networks

Reference 48

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Efficient spherical harmonic transforms aimed at pseudospectral numerical simulations

Reference 49

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Efficient Generalized Spherical CNNs

Reference 50

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This paper cites Giraldo, J.S.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Giraldo, J.S

Reference 51

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Observation f896227a-421c-4b8c-b882-ba95fdb77d33 · outbound

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Unresolved cited work

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale U-Net: Convolutional Networks for Biomedical Image Segmentation

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Unresolved cited work

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This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 55

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This paper cites Martin, Kenneth L.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Martin, Kenneth L

Reference 56

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

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Accurate medium-range global weather forecasting with 3D neural networks

Reference 57

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Reference 58

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Observation 2d6c3655-e81a-438e-8190-19fa5ae0c927 · outbound

This paper cites Going deeper with Image Transformers.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Going deeper with Image Transformers

Reference 59

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This paper cites Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification, 2 2015.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification, 2 2015

Reference 60

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This paper cites Exploring the design space of deep-learning-based weather forecasting systems.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Exploring the design space of deep-learning-based weather forecasting systems

Reference 61

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Observation fba1c469-5495-4d16-bf33-192bb60e493a · outbound

This paper cites Alias-Free Generative Adversarial Networks.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Alias-Free Generative Adversarial Networks

Reference 62

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This paper cites Abaza, F.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Abaza, F

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:59.679038Z

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Observation d857d19b-252f-454d-864e-df067bda0ede · outbound

This paper cites Strictly Proper Scoring Rules, Prediction, and Estimation,.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Strictly Proper Scoring Rules, Prediction, and Estimation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:05.744501Z

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Observation 6f43b533-17d4-421c-ad52-dba8b8767eb3 · outbound

This paper cites Estimation of the Continuous Ranked Probability Score with Limited Information and Applications to Ensemble Weather Forecasts.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Estimation of the Continuous Ranked Probability Score with Limited Information and Applications to Ensemble Weather Forecasts

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:59.894614Z

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Observation e75cf15d-e79b-42ee-89ce-695c0e3d5a32 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Adam: A Method for Stochastic Optimization

Reference 66

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Observation c7d5a9da-f2eb-4c73-9628-cd342a5dff9a · outbound

This paper cites Data Assimilation in the Geosciences - An overview on methods, issues and perspectives.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Data Assimilation in the Geosciences - An overview on methods, issues and perspectives

Reference 67

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Observation 8e5f19cc-4884-4100-a3c2-7f6aec7f273e · outbound

This paper cites Neural Networks for Postprocessing Ensemble Weather Forecasts.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Neural Networks for Postprocessing Ensemble Weather Forecasts

Reference 68

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Observation aab5cc29-b785-42d3-a174-4c5dc925357e · outbound

This paper cites Hunt, and Edward Ott.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Hunt, and Edward Ott

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:00.349182Z

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Observation 98021306-0880-461b-8733-02c950aa44ea · outbound

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Unresolved cited work

Reference 70

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Observation 8a1f3687-9226-4133-be33-a60d141032f4 · outbound

This paper cites Tulloch and K.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Tulloch and K

Reference 71

Resolution: verified exact; doi, observed 2026-08-06T17:00:01.140646Z

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Observation 4e24fffa-1619-4b9f-9573-6c54fe2df0b6 · outbound

This paper cites Pytorch fsdp: Experiences on scaling fully sharded data parallel.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Pytorch fsdp: Experiences on scaling fully sharded data parallel

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:00.724799Z

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Observation e1415413-9556-4af2-9efd-ee47e388416c · outbound

This paper cites 6Further detail on the simultaneous model- and data-parallelism are provided in Appendix G.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale 6Further detail on the simultaneous model- and data-parallelism are provided in Appendix G

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:05.461849Z

Source-reported events for the cited work

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Observation 635ead96-5f68-43d1-97fd-e43b2371995c · outbound

This paper cites A notable exception is 2 meter temperature t2m, where we observe better performance with GenCast.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale A notable exception is 2 meter temperature t2m, where we observe better performance with GenCast

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:05.154757Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b59de00f-bb21-49ce-8c16-56fd043ce336 · outbound

This paper cites Scaling Laws for Neural Language Models.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Scaling Laws for Neural Language Models

Reference 2020

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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:53.720865Z

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Observation dd5b7146-e542-4a8c-b42d-1cfbe23252fa · outbound

This paper cites an unresolved cited work.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Unresolved cited work

Reference 2024

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Pith citing papers

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MoWE : A Mixture of Weather Experts cites this paper.

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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CRPS-LAM: Probabilistic Regional Weather Forecasting with Continuous Ranked Probability Score cites this paper.

CRPS-LAM: Probabilistic Regional Weather Forecasting with Continuous Ranked Probability Score FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 4

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Observation 0e354c1d-0958-4ba1-b2d0-23e3b08cdc32 · inbound

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts cites this paper.

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 20

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Observation d1a627e8-c971-4d91-8b4a-ac01886a93ee · inbound

Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems cites this paper.

Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:22:36.064871Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0a0780b6-fb5e-4a34-bb89-8a8588136195 · inbound

SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints cites this paper.

SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T03:37:13.746216Z

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Observation 41d769e4-600e-4c68-b2ab-1d1fe029b366 · inbound

Physics constraints and response validation in discrete-time reduced-order modeling: from idealized turbulent systems to climate dynamics cites this paper.

Physics constraints and response validation in discrete-time reduced-order modeling: from idealized turbulent systems to climate dynamics FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T22:20:21.977262Z

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Observation 19e5d73c-9523-4c59-bbe5-3479724ce059 · inbound

Physics constraints and response validation in discrete-time reduced-order modeling: from idealized turbulent systems to climate dynamics cites this paper.

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T06:07:12.799654Z

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Observation f1bfa33c-4426-4494-88e2-01e912808321 · inbound

Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators cites this paper.

Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:16:37.744434Z

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Observation 20be7e6b-429f-4f41-869e-dac0cbb98b60 · inbound

The Rise of AI in Weather and Climate Information and its Impact on Global Inequality cites this paper.

The Rise of AI in Weather and Climate Information and its Impact on Global Inequality FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T18:44:34.475494Z

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Observation 5bc1f32e-47b2-48f9-9d96-94b2bd263f2a · inbound

Towards Scaling Law Analysis For Spatiotemporal Weather Data cites this paper.

Towards Scaling Law Analysis For Spatiotemporal Weather Data FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:40:50.756697Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7568fdbb-9c90-4fa3-91d8-4717ada9c1d5 · inbound

U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster cites this paper.

U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

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Resolution: verified exact; arxiv_id, observed 2026-05-10T20:45:46.907866Z

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Observation 30edef11-2d85-41e2-91e9-d149f3471155 · inbound

Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting cites this paper.

Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:31:06.376370Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 58861d64-dc3a-48d0-94a6-9592e44021e1 · inbound

Cast3: Translating numerical weather prediction principles into data-driven forecasting cites this paper.

Cast3: Translating numerical weather prediction principles into data-driven forecasting FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-08T19:34:04.613644Z

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Observation bc8379d1-69ea-4fbf-957f-9606f7c00c68 · inbound

One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators cites this paper.

One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 8

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c1f496e-facb-443a-8526-13518c026c12 · inbound

One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators cites this paper.

One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d5b5de0f-7a39-4052-bb1b-c1d2935950a8 · inbound

ShardTensor: Domain Parallelism for Scientific Machine Learning cites this paper.

ShardTensor: Domain Parallelism for Scientific Machine Learning FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T03:07:09.097681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c3f08017-3f49-44b5-8756-8c7911326fb2 · inbound

Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting cites this paper.

Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T14:47:36.375735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6b53254-1427-4691-855a-1d5f291c2177 · inbound

Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting cites this paper.

Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T20:55:04.225478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5cd1430d-4e0c-42a3-af0c-b6e3073c95c3 · inbound

The physics of AI weather models cites this paper.

The physics of AI weather models FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-25T02:25:14.360685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6cbc4e25-3a5b-4724-a31f-3d7ebed64b06 · inbound

The Perception-Physics Paradox: Probing Scientific Alignment with TC-Bench cites this paper.

The Perception-Physics Paradox: Probing Scientific Alignment with TC-Bench FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

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Resolution: verified exact; arxiv_id, observed 2026-06-30T13:24:40.599262Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4d348bea-3f32-40ac-9076-da9610b1fe9a · inbound

Samudra 2: Scaling Ocean Emulators across Resolutions cites this paper.

Samudra 2: Scaling Ocean Emulators across Resolutions FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T23:44:02.636728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2fe665a4-dead-4b22-9b57-9ecee58b907b · inbound

Disentangling the effects of sea surface temperature and CO$_2$ in global machine learned weather-climate emulators cites this paper.

Disentangling the effects of sea surface temperature and CO$_2$ in global machine learned weather-climate emulators FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

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Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T19:31:10.531191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c30d5aac-4df6-4e9b-b43b-956045459242 · inbound

Physics-Guided Dual Decoding and Spectral Supervision for Global 3D Hydrometeor Prediction cites this paper.

Physics-Guided Dual Decoding and Spectral Supervision for Global 3D Hydrometeor Prediction FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:57:26.404783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c7581244-0704-4adb-8beb-35795f9eedea · inbound

Fourier Neural Operators with rank-1 lattice points and hyperbolic cross cites this paper.

Fourier Neural Operators with rank-1 lattice points and hyperbolic cross FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:57:28.347270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d858d9d-2b14-4311-a5e7-460d153ba7db · inbound

Reliability of Probabilistic Emulation of Physical Systems cites this paper.

Reliability of Probabilistic Emulation of Physical Systems FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:38:19.249365Z

Source-reported events for the cited work

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Observation 8c69cfc1-2a30-47ed-bee9-4f83a2057df6 · inbound

Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting cites this paper.

Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T15:49:57.731948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eb18b824-272f-4399-8bec-0eeb3794f9a7 · inbound

Deep learning model emulators for marine biogeochemistry forecasting from days to decades cites this paper.

Deep learning model emulators for marine biogeochemistry forecasting from days to decades FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:49:56.245648Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6760aef-02ec-4586-b510-e4c31b27d031 · inbound

Decision-Aware Training for Sample-Based Generative Models cites this paper.

Decision-Aware Training for Sample-Based Generative Models FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:27:04.728028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 02872c00-be3e-43a1-9689-5a776b7f04f0 · inbound

From Observation to Insight: Mechanistic World Models and the Quest for Autonomous Discovery cites this paper.

From Observation to Insight: Mechanistic World Models and the Quest for Autonomous Discovery FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T06:34:26.333530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c64500d-28d7-4fc9-804e-58c3f6d2eca3 · inbound

Orca: Neural Operators for Causal Reasoning in Continuous Time cites this paper.

Orca: Neural Operators for Causal Reasoning in Continuous Time FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T00:04:47.256781Z

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Observation 2f11e6d6-a580-410d-bfed-66cf61be8f45 · inbound

Weather Emulators at the Frontier of Heat Extremes Predictability cites this paper.

Weather Emulators at the Frontier of Heat Extremes Predictability FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-31T14:18:23.981077Z

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Observation 7b62630b-77f6-4874-b0bd-3df69e4c56d3 · inbound

Timestep-Conditioned Transformers for Global Weather Forecasting cites this paper.

Timestep-Conditioned Transformers for Global Weather Forecasting FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:44:11.802505Z

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Observation 157c3b4f-fa1e-44a3-adfa-fb89d03cd404 · inbound

Evaluating Explainable AI Methods for Geoscientific Regression: Insights from Applications and the Lorenz-63 System cites this paper.

Evaluating Explainable AI Methods for Geoscientific Regression: Insights from Applications and the Lorenz-63 System FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale

Reference 232

Resolution: unresolved; no resolver link, observed 2026-08-10T05:05:23.195543Z

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