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Paper Citation Record · LEDGER

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models

As of 14 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2411.10010.

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

pith.paper-citation-record.v1
2411.10010 v2

Coverage vector

measured 44 of 44 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T20:09:09.897484Z

measured 44 of 44 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation bda9a5e5-5b3e-4916-9720-56c8f6686d5d · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 1

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Observation 1ee51c4e-968f-4c9a-ab1b-c707b65c7d4a · outbound

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

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

Reference 2

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Observation b448d9ac-f2ef-46dd-816c-dd98125f58a8 · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 3

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Observation 776cb724-47c3-4654-9ee5-f5cd3225b928 · outbound

This paper cites A Foundation Model for the Earth System.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models A Foundation Model for the Earth System

Reference 4

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source=arxiv_source observed=2026-08-12T20:09:09.724363Z digest=sha256:78daf70f90d52112cd79790b8aed67f8639ff03204c04ad5dbc2a2a08c0bd4e5

Observation d98b556b-7670-46ea-a6e0-156a847bbf37 · outbound

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

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

Reference 5

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Observation 79cd6682-18b4-4451-9498-ef255ecd7030 · outbound

This paper cites Milton, M.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Milton, M

Reference 6

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Observation a6ef15eb-bb27-4af2-a643-94741f759585 · outbound

This paper cites Reinhart, and J.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Reinhart, and J

Reference 7

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Observation 6650b3ff-c575-4de9-8937-d05cdc9949ab · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 8

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Observation cacee5b3-15a2-4980-a25c-6eb04185ca5e · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 9

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Observation 3b6a6614-1ae4-4f5e-9034-0724d5b9a704 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 10

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Observation 561214b5-b98d-4350-a89d-2dd32a759744 · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 11

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Observation f3f78580-38d6-4dfb-8f44-46a4efda7f36 · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 12

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Observation 4ac7fd27-e80f-4e7f-a8fb-d89df9ce9e5c · outbound

This paper cites European Centre for Medium-Range Weather Forecasts.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models European Centre for Medium-Range Weather Forecasts

Reference 13

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Observation e965e317-cfe8-4c33-bc6d-ff31976939ab · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 14

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Observation 91e81ce5-5b0c-4be3-aacd-1a8e98e2b957 · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-12T20:09:09.785501Z digest=sha256:dfc684a8b70fa532deeb0865d06a83a08df902751782ccd62f4f4eb4d77df1ab

Observation 793b3a43-5a88-43f0-a2c8-9b33e7faa3ed · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 16

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Observation 58f5e7bb-bd8c-4d87-a9dc-fef04fdc1070 · outbound

This paper cites FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting

Reference 17

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Observation 674deaf8-22c1-415e-8924-f6cf35b22361 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Denoising Diffusion Probabilistic Models

Reference 18

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Observation 70385672-e622-4051-b1f8-2f318c388aaf · outbound

This paper cites International Civil Aviation Organization, 16pp.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models International Civil Aviation Organization, 16pp

Reference 19

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Observation 4a088570-17ca-42d5-8c0c-c9fc2655f088 · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 20

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Observation 06f539b5-6e70-409e-a95f-f6da02db8831 · outbound

This paper cites Report of Numerical Prediction Division, 64, 248 pp (in Japanese).

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Report of Numerical Prediction Division, 64, 248 pp (in Japanese)

Reference 21

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Observation 44f43f41-5aae-4887-8e0b-ed5530ac48f2 · outbound

This paper cites Japan Meteorological Agency, 143pp.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Japan Meteorological Agency, 143pp

Reference 22

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Observation ab7f3e9c-eeb2-4b56-a45a-0039aad04b56 · outbound

This paper cites Japan Meteorological Agency, 262pp.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Japan Meteorological Agency, 262pp

Reference 23

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Observation 642c4c0b-71d1-40f4-9c65-0877b1cceb27 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Adam: A Method for Stochastic Optimization

Reference 24

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Observation 9a3cb690-9ddc-48e9-a6fe-1465dd9f466c · outbound

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

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models GraphCast: Learning skillful medium-range global weather forecasting

Reference 25

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Observation 0024121d-f803-4bf0-a599-c2363951d140 · outbound

This paper cites AIFS -- ECMWF's data-driven forecasting system.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models AIFS -- ECMWF's data-driven forecasting system

Reference 26

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Observation 345d1e0a-474c-418b-b55e-cd332c735a67 · outbound

This paper cites Bengio, and G.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Bengio, and G

Reference 27

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Observation 27087c90-b023-4bbe-9a0b-11cece98e119 · outbound

This paper cites Tantet, R.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Tantet, R

Reference 28

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Observation c73940ec-5a03-4644-a224-1eb3bc3e18e1 · outbound

This paper cites J., 1997: A Convexity Principle for Interacting Gases.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models J., 1997: A Convexity Principle for Interacting Gases

Reference 29

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Observation cb1ff268-128f-4692-bd72-644105363f94 · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 30

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Observation d4c1b0ff-9dc3-40ab-99a6-2d57c1661c1a · outbound

This paper cites [Available at https://vlab.noaa.gov/ web/gfs/documentation.].

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models [Available at https://vlab.noaa.gov/ web/gfs/documentation.]

Reference 31

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:09:09.842883Z digest=sha256:dd204515de1f60f8a4e7a7dba6bc4322e83bdd69c307e1bff29bccabb4517e19

Observation dce09922-e660-450a-8bd2-6cfa34e125aa · outbound

This paper cites Fukuda, 2019: Advancement of Tropical Cyclone Track Forecasts.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Fukuda, 2019: Advancement of Tropical Cyclone Track Forecasts

Reference 32

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source=arxiv_source observed=2026-08-12T20:09:09.846349Z digest=sha256:a2a63b57ff0a8f130dc41c2925158288fa1547dd3a759ac4d2eba8deddc4daeb

Observation fb98c655-1257-484d-814a-1d2592a00b9c · outbound

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

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 33

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Observation 3de76272-5fc6-4abe-b3a9-d5910b8d6147 · outbound

This paper cites Computational Optimal Transport.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Computational Optimal Transport

Reference 34

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Observation c79b23c3-43ef-4f79-a815-6a00089ec7d6 · outbound

This paper cites GenCast: Diffusion-based ensemble forecasting for medium-range weather.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models GenCast: Diffusion-based ensemble forecasting for medium-range weather

Reference 35

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Observation 1842e2d8-b53b-41ff-8d7c-1fa7011ff15d · outbound

This paper cites Comparison of Model Output Statistics and Neural Networks to Postprocess Wind Gusts.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Comparison of Model Output Statistics and Neural Networks to Postprocess Wind Gusts

Reference 36

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This paper cites Benjamin, E.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Benjamin, E

Reference 37

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Observation ab9c29f3-121f-471c-8c96-443d6584f084 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 38

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Observation 3fddf866-510c-4e28-8d4c-9625133f4c64 · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 39

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Observation 268ce4cf-ea4e-45bc-9825-fca3ed837fbd · outbound

This paper cites Generative Modeling by Estimating Gradients of the Data Distribution.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Generative Modeling by Estimating Gradients of the Data Distribution

Reference 40

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Observation 0893345f-85bf-4519-b44f-fcc95f6ed169 · outbound

This paper cites an unresolved cited work.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Unresolved cited work

Reference 41

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Observation f38ea3a9-e1b2-453d-8ff0-0e0eb195d42d · outbound

This paper cites Attention Is All You Need.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Attention Is All You Need

Reference 42

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Observation 9c85b2d1-5fd5-41aa-a88e-30f7a48990e7 · outbound

This paper cites L., and J.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models L., and J

Reference 43

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Observation d595f240-f893-4ed8-b2e2-470e704a6942 · outbound

This paper cites Bulletin nº, 62, 11–15.

DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models Bulletin nº, 62, 11–15

Reference 44

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Pith citing papers

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