Paper Citation Record · LEDGER

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere

As of 23 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 5 inbound Pith citation observations for arXiv:2411.10191.

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

pith.paper-citation-record.v1
2411.10191 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:56:32.339450Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:00:55.351282Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-08T07:14:45.212738Z

Reference resolution

46 of 46 outbound references displayed

verified exact2
verified fuzzy15
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94d08ed2-6fa1-42ae-b87c-7453c0b363bb · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:33.160423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 874f8a08-10d2-4f22-94b6-94237541b57b · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:33.144117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation de7a807c-9f2a-45ad-ad78-3534ab61c4e9 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:33.128094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83063e69-3339-4dd1-a47e-aa41043ea7aa · outbound

This paper cites N., Doblas -Reyes, F.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere N., Doblas -Reyes, F

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:33.110773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 697b26fd-5091-479d-809c-5b2b3beb37c1 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:33.093769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40f37271-9ac6-4079-9034-ec1e943f784d · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T19:56:32.151558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e95a87b-2896-4bf1-9544-d043edb42eef · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T19:56:32.156218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb1f584e-1a1f-4f5a-8a60-41cb08c7d1b0 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:33.067908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 11c04579-1f7c-41ae-a50b-720e16181789 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T19:56:32.165745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40f586a3-db2b-4d2b-a70d-28e8f1c57f7c · outbound

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

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere AIFS -- ECMWF's data-driven forecasting system

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T19:56:32.170341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03d5a9f2-5c94-4574-87d4-3b996f86eb31 · outbound

This paper cites & Craig, G.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere & Craig, G

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:33.042249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bac4b615-9f06-4935-98dc-4f3047137aea · outbound

This paper cites Ben et al.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Ben et al

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:33.026643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation faf9056a-2148-489e-81cd-39bd1a9fce6b · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:33.009712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 28b4b270-3eea-4834-b080-540ad8ca0bf3 · outbound

This paper cites Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:56:32.464522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e13e18af-88cf-4f1c-a39b-76d22000c380 · outbound

This paper cites Robustness of AI-based weather forecasts in a changing climate.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Robustness of AI-based weather forecasts in a changing climate

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T19:56:32.194426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcfa10c3-021d-4b03-842e-7f65172e9b7c · outbound

This paper cites Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T19:56:32.199790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cc79cec-0931-4b87-9a59-564609249b15 · outbound

This paper cites Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T19:56:32.205167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70719238-6b3f-4e48-9d09-22c8dc473cc4 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.993935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 51c59356-719b-43cd-81c6-6cb144832d6e · outbound

This paper cites CAS-Canglong: A skillful 3D Transformer model for sub-seasonal to seasonal global sea surface temperature prediction.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere CAS-Canglong: A skillful 3D Transformer model for sub-seasonal to seasonal global sea surface temperature prediction

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:56:32.388203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f5c392c-498c-470a-a422-8d0fe6b3534e · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.978038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 639e1f25-3254-4afc-8ad6-f3e7a036df0c · outbound

This paper cites Seamless prediction of the Earth System: from minutes to months.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Seamless prediction of the Earth System: from minutes to months

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:32.963001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d8acfc0-22bd-4694-89ff-8a1ed0fe0313 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.948280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 93f8bb80-2975-4f35-a61a-50f291402cb4 · outbound

This paper cites G., Yin, Y ., Alves, O.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere G., Yin, Y ., Alves, O

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:32.933440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2a6473bf-5c4f-4864-ab0c-c5c59732a8a8 · outbound

This paper cites & Raftery, A.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere & Raftery, A

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:32.918030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6588fd8f-a8e3-4dc2-bd20-07c6d3f16050 · outbound

This paper cites W., Kumar, A., Peña, M.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere W., Kumar, A., Peña, M

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:32.902880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6def90db-3282-44ca-b891-c19b8947ccc7 · outbound

This paper cites A., Durran, D.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere A., Durran, D

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:32.882678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c7b698b-30ed-4def-b0ac-884069215d53 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.868147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f5d3fad-6608-4444-8f04-4aa11cb28a67 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.853528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0f817c6-972e-4fda-b5d4-c2fae02b0301 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.837876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 06bb5bb1-e36d-4975-b5d2-397ad397d6ad · outbound

This paper cites & Derome, J.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere & Derome, J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:32.821670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fbb85141-9358-45f8-aa2c-f4cb5beb7367 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.806842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 91abc1f5-6afe-4429-9726-fbdd3361a3c8 · outbound

This paper cites Intraseasonal interaction between the Madden–Julian Oscillation and the North Atlantic Oscillation.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Intraseasonal interaction between the Madden–Julian Oscillation and the North Atlantic Oscillation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:32.791258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 26f86a79-ec55-4fa3-ba9b-9d6411bc7945 · outbound

This paper cites To assess NAO prediction skill at subseasonal timescales, we focused on daily NAO index forecasts initialized from each day of December-February36.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere To assess NAO prediction skill at subseasonal timescales, we focused on daily NAO index forecasts initialized from each day of December-February36

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:33.178830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c370482-4131-4df1-a254-233a808b14d1 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.774815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4841a8be-c132-44c1-a06b-4a91bbfbeb03 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.759329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8f363b7d-2a21-480e-b0c4-83d08aad350e · outbound

This paper cites Teleconnections in the geopotential height field during the Northern Hemisphere winter.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Teleconnections in the geopotential height field during the Northern Hemisphere winter

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:32.743646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1400e167-c23d-47e7-acbd-a15a1643fddf · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.727632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 357c1929-70c8-48e0-b93e-12732635e7ac · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.710916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 20113347-79ea-4c70-9270-64e74acf8a05 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T19:56:32.305265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfa81e64-bcd2-456e-b90c-93e1cd7e07e9 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.685216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 76f5236a-a1e5-4a92-bb9c-e4c1bf71f278 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.669180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3605ffca-0881-46e4-8e2a-95d3f3d72bc8 · outbound

This paper cites & Kalnay, E.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere & Kalnay, E

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:32.652242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6614d28a-d430-4a7c-b61a-a5ced4f00906 · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.635683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a808a070-1118-4446-8813-aec92350bc4c · outbound

This paper cites an unresolved cited work.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:56:32.619940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation caa6404d-c7ff-459c-88ab-05f928c461b7 · outbound

This paper cites A scoring system for probability forecasts of ranked categories.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere A scoring system for probability forecasts of ranked categories

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:32.603958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e73cf64-39de-4c51-b1be-55131b1f48d9 · outbound

This paper cites S1A, c urrent deep learning models involve multi -level encoding and decoding, leading to the extraction of features from low -level to high-level spaces.

FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere S1A, c urrent deep learning models involve multi -level encoding and decoding, leading to the extraction of features from low -level to high-level spaces

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:56:32.587725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 05e02605-2c41-407c-b657-9750ffa5637d · inbound

Data-driven global ocean model resolving ocean-atmosphere coupling dynamics cites this paper.

Data-driven global ocean model resolving ocean-atmosphere coupling dynamics FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T11:00:55.351282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708181b6-1cc6-4269-9371-1360eadc38a2 · inbound

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

LUCIE-3D: A three-dimensional climate emulator for forced responses FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T12:00:58.753019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0beef834-e468-4bfa-95b4-c7c2615723e5 · inbound

Earth-o1: A Grid-free Observation-native Atmospheric World Model cites this paper.

Earth-o1: A Grid-free Observation-native Atmospheric World Model FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:51:08.753549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 06921832-654a-4bb5-bfc5-ead487e9eb4f · inbound

AIFS-SUBS: Extending Data-Driven Forecasting to Sub-Seasonal Timescales cites this paper.

AIFS-SUBS: Extending Data-Driven Forecasting to Sub-Seasonal Timescales FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T08:50:01.837338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7c4e080-5f55-4861-ad43-fa3866ce1fdf · inbound

A Definition and Roadmap for World Models cites this paper.

A Definition and Roadmap for World Models FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere

Reference 222

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:14:45.215080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.