Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:00:00.918024Z
Paper Citation Record · LEDGER
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
As of 19 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 34 inbound Pith citation observations for arXiv:2507.12144.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:43:31.753318Z
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
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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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
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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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
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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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
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
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Source-reported events for the cited work
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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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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 424bb24d-fbde-4033-b33a-37a3295aae7c · outbound
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29b0d897-e7ea-4173-ba9d-1012a8c0de57 · outbound
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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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a10a8d8-926c-4138-8561-1174287c6ed9 · outbound
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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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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Unavailable: canonical work link unavailable.
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This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models.
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Reference 37
- Resolution
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Source-reported events for the cited work
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Observation 862658ad-00b6-480e-9cda-7122a3a096e7 · outbound
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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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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale The ERA5 global reanalysis
Reference 40
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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This paper cites Data-driven ensemble forecasting with the aifs.
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Data-driven ensemble forecasting with the aifs
Reference 41
- Resolution
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Source-reported events for the cited work
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Observation 76c8ddf1-c9a2-42c3-aa04-af7ed44a4bb3 · outbound
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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Consistency Models
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29ff35ea-006a-4568-8542-c957c0a8c231 · outbound
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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Generative Adversarial Networks
Reference 43
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Driscoll and D.M
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8dfb347-0d1a-4982-9f66-3621af4a8f60 · outbound
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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
- Resolution
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Source-reported events for the cited work
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Observation 1bc30af0-43b1-46bd-a6ed-3dce3611757f · outbound
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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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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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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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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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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Source-reported events for the cited work
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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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c676b2a-ab4a-4f6b-ad4b-223d101e76f9 · outbound
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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Efficient Generalized Spherical CNNs
Reference 50
- Resolution
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Source-reported events for the cited work
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Observation 274fdb8f-bbdc-43ac-a0c6-0ebf6d9cb6d9 · outbound
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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Giraldo, J.S
Reference 51
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f896227a-421c-4b8c-b882-ba95fdb77d33 · 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 52
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42000e8b-8e9e-45eb-97fa-f50973b82482 · outbound
This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale U-Net: Convolutional Networks for Biomedical Image Segmentation
Reference 53
- Resolution
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Reference 54
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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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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Martin, Kenneth L
Reference 56
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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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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Going deeper with Image Transformers
Reference 59
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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
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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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Unavailable: canonical work link unavailable.
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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Alias-Free Generative Adversarial Networks
Reference 62
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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Abaza, F
Reference 63
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Unavailable: canonical work link unavailable.
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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Strictly Proper Scoring Rules, Prediction, and Estimation,
Reference 64
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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
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Unavailable: canonical work link unavailable.
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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Unavailable: canonical work link unavailable.
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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
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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
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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Hunt, and Edward Ott
Reference 69
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Unavailable: canonical work link unavailable.
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Reference 70
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Unavailable: canonical work link unavailable.
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FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Tulloch and K
Reference 71
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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
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Unavailable: canonical work link unavailable.
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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
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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
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Source-reported events for the cited work
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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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Unavailable: canonical work link unavailable.
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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
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Unavailable: canonical work link unavailable.
Observation dd5b7146-e542-4a8c-b42d-1cfbe23252fa · outbound
This paper cites an unresolved cited work.
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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
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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
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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
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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
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Observation 0a0780b6-fb5e-4a34-bb89-8a8588136195 · inbound
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SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
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Observation 41d769e4-600e-4c68-b2ab-1d1fe029b366 · inbound
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Observation 19e5d73c-9523-4c59-bbe5-3479724ce059 · inbound
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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
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Observation f1bfa33c-4426-4494-88e2-01e912808321 · inbound
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Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
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Observation 20be7e6b-429f-4f41-869e-dac0cbb98b60 · inbound
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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
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Towards Scaling Law Analysis For Spatiotemporal Weather Data FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
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Observation 7568fdbb-9c90-4fa3-91d8-4717ada9c1d5 · inbound
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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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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
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Cast3: Translating numerical weather prediction principles into data-driven forecasting FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
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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
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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
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ShardTensor: Domain Parallelism for Scientific Machine Learning FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
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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
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Observation b6b53254-1427-4691-855a-1d5f291c2177 · inbound
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Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
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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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Samudra 2: Scaling Ocean Emulators across Resolutions FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
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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
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Fourier Neural Operators with rank-1 lattice points and hyperbolic cross FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
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Reliability of Probabilistic Emulation of Physical Systems FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
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Observation 8c69cfc1-2a30-47ed-bee9-4f83a2057df6 · inbound
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Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d6760aef-02ec-4586-b510-e4c31b27d031 · inbound
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Decision-Aware Training for Sample-Based Generative Models FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
Reference 1
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- arxiv_id, observed 2026-07-02T15:27:04.728028Z
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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
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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
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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
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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
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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
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DLESyM-Ocean: A Deep Learning Probabilistic Global Model for Simulating Present-Day Upper Ocean and Sea Ice cites this paper.
DLESyM-Ocean: A Deep Learning Probabilistic Global Model for Simulating Present-Day Upper Ocean and Sea Ice FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
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