Paper Citation Record · LEDGER

GraphCast: Learning skillful medium-range global weather forecasting

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2212.12794.

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

pith.paper-citation-record.v1
2212.12794 v2

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measured 41 of 41 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:42:11.732728Z

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

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170
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs cites this paper.

APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs GraphCast: Learning skillful medium-range global weather forecasting

Reference 2022

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps cites this paper.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps GraphCast: Learning skillful medium-range global weather forecasting

Reference 50

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Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators cites this paper.

Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators GraphCast: Learning skillful medium-range global weather forecasting

Reference 16

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MeshMask: Physics-Based Simulations with Masked Graph Neural Networks cites this paper.

MeshMask: Physics-Based Simulations with Masked Graph Neural Networks GraphCast: Learning skillful medium-range global weather forecasting

Reference 17

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Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis cites this paper.

Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis GraphCast: Learning skillful medium-range global weather forecasting

Reference 43

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Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation cites this paper.

Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation GraphCast: Learning skillful medium-range global weather forecasting

Reference 49

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BARNN: A Bayesian Autoregressive and Recurrent Neural Network cites this paper.

BARNN: A Bayesian Autoregressive and Recurrent Neural Network GraphCast: Learning skillful medium-range global weather forecasting

Reference 28

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Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis cites this paper.

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis GraphCast: Learning skillful medium-range global weather forecasting

Reference 16

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Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction cites this paper.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction GraphCast: Learning skillful medium-range global weather forecasting

Reference 2024

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Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting cites this paper.

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting GraphCast: Learning skillful medium-range global weather forecasting

Reference 14

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Observation 1f045cb5-e433-4919-8e86-18c2208bbf19 · inbound

PEAR: Equal Area Weather Forecasting on the Sphere cites this paper.

PEAR: Equal Area Weather Forecasting on the Sphere GraphCast: Learning skillful medium-range global weather forecasting

Reference 4

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DEF: Diffusion-augmented Ensemble Forecasting cites this paper.

DEF: Diffusion-augmented Ensemble Forecasting GraphCast: Learning skillful medium-range global weather forecasting

Reference 2

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A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling cites this paper.

A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling GraphCast: Learning skillful medium-range global weather forecasting

Reference 30

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Observation a618fe60-d3a1-4bf7-b6cd-f96ba5a27c2a · inbound

LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting cites this paper.

LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting GraphCast: Learning skillful medium-range global weather forecasting

Reference 28

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Skillful joint probabilistic weather forecasting from marginals cites this paper.

Skillful joint probabilistic weather forecasting from marginals GraphCast: Learning skillful medium-range global weather forecasting

Reference 2017

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Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity cites this paper.

Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity GraphCast: Learning skillful medium-range global weather forecasting

Reference 28

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Observation 78eb4bde-8176-4355-9e7b-a27eeaab317f · inbound

On the under-reaching phenomenon in message-passing neural PDE solvers: revisiting the CFL condition cites this paper.

On the under-reaching phenomenon in message-passing neural PDE solvers: revisiting the CFL condition GraphCast: Learning skillful medium-range global weather forecasting

Reference 6

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Observation e6e939d2-57f4-43d1-9582-bd1421f952c4 · inbound

Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency cites this paper.

Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency GraphCast: Learning skillful medium-range global weather forecasting

Reference 2023

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

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

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

Reference 4

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Finetuning AI Foundation Models to Develop Subgrid-Scale Parameterizations: A Case Study on Atmospheric Gravity Waves cites this paper.

Finetuning AI Foundation Models to Develop Subgrid-Scale Parameterizations: A Case Study on Atmospheric Gravity Waves GraphCast: Learning skillful medium-range global weather forecasting

Reference 40

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Physics Priors Offer Useful Accuracy-Carbon Trade-Offs in Spatio-Temporal Forecasting cites this paper.

Physics Priors Offer Useful Accuracy-Carbon Trade-Offs in Spatio-Temporal Forecasting GraphCast: Learning skillful medium-range global weather forecasting

Reference 24

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A robust and stable hybrid neural network/finite element method for 2D flows that generalizes to different geometries cites this paper.

A robust and stable hybrid neural network/finite element method for 2D flows that generalizes to different geometries GraphCast: Learning skillful medium-range global weather forecasting

Reference 37

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Smoothness Errors in Dynamics Models and How to Avoid Them cites this paper.

Smoothness Errors in Dynamics Models and How to Avoid Them GraphCast: Learning skillful medium-range global weather forecasting

Reference 6

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AIFS-COMPO: A Global Data-Driven Atmospheric Composition Forecasting System cites this paper.

AIFS-COMPO: A Global Data-Driven Atmospheric Composition Forecasting System GraphCast: Learning skillful medium-range global weather forecasting

Reference 10

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

Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models GraphCast: Learning skillful medium-range global weather forecasting

Reference 10

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Regimes of Scale in AI Meteorology cites this paper.

Regimes of Scale in AI Meteorology GraphCast: Learning skillful medium-range global weather forecasting

Reference 29

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A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models cites this paper.

A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models GraphCast: Learning skillful medium-range global weather forecasting

Reference 25

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A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models cites this paper.

A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models GraphCast: Learning skillful medium-range global weather forecasting

Reference 25

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A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models cites this paper.

A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models GraphCast: Learning skillful medium-range global weather forecasting

Reference 24

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Heterogeneous Scientific Foundation Model Collaboration cites this paper.

Heterogeneous Scientific Foundation Model Collaboration GraphCast: Learning skillful medium-range global weather forecasting

Reference 24

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WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation cites this paper.

WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation GraphCast: Learning skillful medium-range global weather forecasting

Reference 7

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Physically Viable World Models: A Case for Query-Conditioned Embodied AI cites this paper.

Physically Viable World Models: A Case for Query-Conditioned Embodied AI GraphCast: Learning skillful medium-range global weather forecasting

Reference 45

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PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models cites this paper.

PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models GraphCast: Learning skillful medium-range global weather forecasting

Reference 6

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Sparse probes and murky physics: a case study of interpretability challenges in a foundation model for continuum dynamics cites this paper.

Sparse probes and murky physics: a case study of interpretability challenges in a foundation model for continuum dynamics GraphCast: Learning skillful medium-range global weather forecasting

Reference 19

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Does Aurora Encode Atmospheric Structure? Latent Regime Analysis and Attribution cites this paper.

Does Aurora Encode Atmospheric Structure? Latent Regime Analysis and Attribution GraphCast: Learning skillful medium-range global weather forecasting

Reference 16

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

Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting GraphCast: Learning skillful medium-range global weather forecasting

Reference 17

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Enhancing a high resolution data-driven weather prediction model with surface descriptors cites this paper.

Enhancing a high resolution data-driven weather prediction model with surface descriptors GraphCast: Learning skillful medium-range global weather forecasting

Reference 8

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Exploratory Analysis of Deep Learning Models for Forecasting Meteorological Parameters in the Agricultural Sector cites this paper.

Exploratory Analysis of Deep Learning Models for Forecasting Meteorological Parameters in the Agricultural Sector GraphCast: Learning skillful medium-range global weather forecasting

Reference 15

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The Virtuous Cycle of Quantum-Classical Machine Learning cites this paper.

The Virtuous Cycle of Quantum-Classical Machine Learning GraphCast: Learning skillful medium-range global weather forecasting

Reference 8

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HourGlass: A probabilistic data-driven temporal downscaler for global and regional weather forecasting cites this paper.

HourGlass: A probabilistic data-driven temporal downscaler for global and regional weather forecasting GraphCast: Learning skillful medium-range global weather forecasting

Reference 15

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Structure of System-Specific Hazard Modeling for Physical Infrastructures in a Climate Change Context cites this paper.

Structure of System-Specific Hazard Modeling for Physical Infrastructures in a Climate Change Context GraphCast: Learning skillful medium-range global weather forecasting

Reference 2016

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