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Paper Citation Record · LEDGER

ACE: A fast, skillful learned global atmospheric model for climate prediction

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2310.02074.

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

pith.paper-citation-record.v1
2310.02074 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

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

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:00:41.658944Z

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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External citation measurements

29
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

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Pith citing papers

Observation 532d56f3-ff55-4109-bbc4-6916a13290b1 · inbound

Learning to generate physical ocean states: Towards hybrid climate modeling cites this paper.

Learning to generate physical ocean states: Towards hybrid climate modeling ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 8

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Observation d0bebc9e-bca6-4a05-b579-8dab0e8f56ac · inbound

LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data cites this paper.

LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 9

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arxiv_id, observed 2026-05-22T14:51:42.847338Z

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Observation 1c3427e8-d82f-4a58-a09f-5dd16d2d7b14 · inbound

Hierarchical Implicit Neural Emulators cites this paper.

Hierarchical Implicit Neural Emulators ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 5

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Observation 5ac10a6c-320c-4c65-b4e9-70999a7f87ee · inbound

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

Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 30

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Observation 216e29f9-1311-43ee-b1fd-8dafc778c36a · 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 ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 11

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Observation f667197d-ecae-4733-b553-979777e836de · inbound

GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate Extremes cites this paper.

GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate Extremes ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 29

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Observation 80a7f216-713e-4a57-bc97-797894ae8964 · inbound

LUCIE-3D: A three-dimensional climate emulator for forced responses cites this paper.

LUCIE-3D: A three-dimensional climate emulator for forced responses ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 14

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

MoWE : A Mixture of Weather Experts cites this paper.

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

Reference 17

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Observation dbd3fdc7-14bc-4add-81d0-7307a159f26f · inbound

The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming cites this paper.

The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 38

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Observation 44ce8f07-3718-4e10-8344-ae0c2e016d36 · 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 ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 39

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arxiv_id, observed 2026-05-16T11:57:50.309299Z

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Observation cab5fae0-a51c-4b6b-a74a-8cb1c060ab2c · 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 ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 37

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arxiv_id, observed 2026-05-15T22:20:22.622919Z

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Observation e9495aae-e15d-489c-9a42-cb6d53ab305c · 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 ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 37

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Observation 2a021991-934c-49c6-a4b2-5c3db4c9de63 · inbound

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

Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 22

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Observation 5dccf0fb-da9e-4010-b3a2-77a0b93e6398 · inbound

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 ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 45

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arxiv_id, observed 2026-05-11T06:20:56.034749Z

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Observation 05d85441-9533-4b50-ae19-a8ffd19ba883 · inbound

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 ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 45

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arxiv_id, observed 2026-05-21T10:34:07.598795Z

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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 ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 44

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Skillful Global Ocean Emulation and the Role of Correlation-Aware Loss cites this paper.

Skillful Global Ocean Emulation and the Role of Correlation-Aware Loss ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 1

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Learning to Emulate Chaos: Adversarial Optimal Transport Regularization cites this paper.

Learning to Emulate Chaos: Adversarial Optimal Transport Regularization ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 51

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Assessing Emulator Design and Training for Modal Aerosol Microphysics Parameterizations in E3SMv2 cites this paper.

Assessing Emulator Design and Training for Modal Aerosol Microphysics Parameterizations in E3SMv2 ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 2

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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 ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 47

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Observation b7756e78-cf3c-4603-8d93-79b24c539278 · inbound

On the Genealogy of Machine Learning Weather Prediction cites this paper.

On the Genealogy of Machine Learning Weather Prediction ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 45

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Observation 5f917c46-d8b3-4675-9aab-a12af27a8e64 · inbound

Hard conservation correctors can hide a degrading model when training autoregressive emulators cites this paper.

Hard conservation correctors can hide a degrading model when training autoregressive emulators ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 12

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Hard conservation correctors can hide a degrading model when training autoregressive emulators cites this paper.

Hard conservation correctors can hide a degrading model when training autoregressive emulators ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 13

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Aircast-Mars: A Mars Foundation Model for Global Weather Forecasting with HEALPix-Aware Convolutions cites this paper.

Aircast-Mars: A Mars Foundation Model for Global Weather Forecasting with HEALPix-Aware Convolutions ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 1

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Spatial Generalization Tests for Machine Learning-based Weather Models to Assess Physical Consistency cites this paper.

Spatial Generalization Tests for Machine Learning-based Weather Models to Assess Physical Consistency ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 11

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