Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T03:35:16.450001Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.03279.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T03:35:16.450001Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation dcf210da-5572-436b-a0d4-7405bdc739f1 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model by Lewis F
Reference 1
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Observation 45e267ff-8b13-49a9-9941-8b5b090ea2bc · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Maier and Graeme C
Reference 2
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Observation dd650f56-51f0-4dbe-a0ee-6d9f24ceeb38 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Papagiannaki, K
Reference 3
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Observation 855327c7-1016-4d02-abd9-b20018a2ee81 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Olatunji, Eyitayo Adeoye, Tien-Chien Jen, and Daniel M
Reference 4
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Observation 354fa125-c176-41d7-a3f0-1db0d5a13cf6 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model A description of the advanced research wrf version 3, 06 2008
Reference 5
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Observation 9210d936-db15-4495-9cbe-61e7c18970a4 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Skamarock, Joseph B
Reference 6
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Observation 3cc82a02-7b27-4550-85f2-66f3a71d73a7 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Unresolved cited work
Reference 7
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Observation ecb08d05-c5de-40d2-a97e-9d108501748a · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Bruinsma, Tom R
Reference 8
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Observation bb1e5c07-d76d-47e8-8fcc-a74471f1dbf0 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Learning skillful medium-range global weather forecasting
Reference 9
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Observation 4a69d694-0178-450c-92b3-ea929ec21e55 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model A foundation model for the earth system
Reference 10
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Observation 4b35ebd9-7f3f-41d6-a41e-047dcdd74343 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Reference 11
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Observation c563b93e-3d5c-43de-8b6b-96f0d1fa7162 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Unresolved cited work
Reference 12
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Observation 53083a6b-b449-4039-9f0e-bcd810b6d2b4 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Unresolved cited work
Reference 13
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Observation 4f20f405-2f51-44b4-ad88-042afad311ca · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Unresolved cited work
Reference 14
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Observation 844d7b11-0373-4122-a64a-46873d764687 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Yinglong-weather: Ai-based limited area models for forecasting of non-precipitation surface meteorological vari- ables, 2025
Reference 15
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Observation 26e03c32-a2ec-4cb9-a5db-ad0512da8711 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Diffusion-lam: Proba- bilistic limited area weather forecasting with diffusion, 2025
Reference 16
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Observation a53aba49-0da9-4ca0-aa0b-b56e08391dc0 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Building machine learning limited area models: Kilometer-scale weather forecasting in realistic settings, 2025
Reference 17
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Observation 03f4b2dd-192c-4cb7-8d70-5c6c4111f674 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Efficient localized adaptation of neural weather forecasting: A case study in the MENA region, 2024
Reference 18
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Observation 0451cbe0-3e25-4f27-95d5-9cebbe5d37e9 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Unresolved cited work
Reference 19
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Observation 51512cb3-6216-4c4e-916a-b103e9f48aab · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Dowell, Curtis R
Reference 20
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Observation 0b865c25-1aa7-4eba-bc4b-c4a362f1db99 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Challenges and design choices for global weather and climate models based on machine learning.Geoscientific Model Development, 11(10):3999–4009, 2018
Reference 21
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Observation a112c417-e0c1-46ea-9516-78a259671272 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Can machines learn to predict weather? using deep learning to predict gridded 500-hpa geopotential height from historical weather data
Reference 22
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Observation 7eaf53b3-f897-4aa9-906c-0aaa6a41231b · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere.Journal of Advances in Modeling Earth Systems, 12(9):e2020MS002109, 2020
Reference 23
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Observation ee6c7175-5dd0-4521-9f9c-91a6d5740851 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model The graph neural network model.IEEE Transactions on Neural Networks, 2008
Reference 24
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Observation ed15c2cd-21c3-4d03-85a4-c93d2a90a7c2 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Attention is all you need
Reference 25
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Observation b475b8cb-7c3a-4df3-a352-99ea741b0dd6 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast
Reference 26
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Observation 49a26299-f5bb-4ff9-8b7b-cccd3b659327 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model ClimaX: A foundation model for weather and climate
Reference 27
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Observation 76cb6bdd-a47c-4103-a195-8d152dde734f · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Graph-based neural weather prediction for limited area modeling, 2023
Reference 28
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Observation 2666c3da-f9c2-48e1-8169-0f8fb95a5350 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Regional data-driven weather modeling with a global stretched-grid, 2024
Reference 29
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Observation 0e7b9f2d-d63e-48aa-be2f-5cbfeefeca90 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Overview and meteorological validation of the wind integration national dataset toolkit
Reference 30
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Observation 819cbcf3-7ca8-46f4-85f3-97f2da049097 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Service change notice 22- 68: Correction of the specification of elevation of the great lakes in the high resolution rapid re- fresh (hrrr)
Reference 31
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Observation 79f3fb1c-edd0-409d-a326-4e9618ade275 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Era5 hourly data on single levels from 1940 to present
Reference 32
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Observation 5027ada1-e282-44ae-b605-b5098c7c3ba6 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model The era5 global reanalysis.Quarterly journal of the royal meteorological society, 146(730):1999–2049, 2020
Reference 33
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Observation 3cb06008-2bde-4006-b341-c9f0601130f4 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Accelerating the super-resolution convolu- tional neural network
Reference 34
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Observation 1a968a4b-923e-4ae6-a9a8-bdc94a7194d4 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Photo-realistic single image super-resolution using a generative adversarial network
Reference 35
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Observation 04582a2e-da64-44db-b553-e2b198aff1be · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Fast-srgan
Reference 36
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Observation f710e079-4f72-436f-baff-16db800003e5 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Kilometer-scale convection allowing model emulation using generative diffusion modeling, 2024
Reference 37
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Observation 1a79cfe5-3389-491e-88ab-c0a4ae8016e2 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model First lessons learnt from metop
Reference 38
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Observation 19d3e40c-2dca-4947-84f9-338ede7f6476 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Era5: Data documentation – observations
Reference 39
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Observation fe477865-13b9-4d96-af30-0d897a8d743c · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Esa hands over control of the metop-b weather satel- lite to eumetsat
Reference 40
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Observation d80bf6bb-23a3-4ecc-8743-0f1b05ef9a95 · outbound
From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model Danra: The kilometer-scale danish regional atmospheric reanalysis, 2025
Reference 41
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No inbound Pith citation observations are available.