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Paper Citation Record · LEDGER

FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2409.07188.

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

pith.paper-citation-record.v1
2409.07188 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:01.485859Z

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

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 54310dee-2059-4372-9f02-9157a5405e00 · inbound

DEF: Diffusion-augmented Ensemble Forecasting cites this paper.

DEF: Diffusion-augmented Ensemble Forecasting FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:01.485859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:01.485859Z digest=sha256:8f09e9cedc8bce0a3ae8a585ca83e52cbfc8c625d0e257a5d254bfc5990a8a17

Observation e6a04c2e-c858-4909-8ef7-c2a1dfe0ecf2 · inbound

FuXi-Air: Urban Air Quality Forecasting Based on Emission-Meteorology-Pollutant multimodal Machine Learning cites this paper.

FuXi-Air: Urban Air Quality Forecasting Based on Emission-Meteorology-Pollutant multimodal Machine Learning FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 54

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unresolved
no resolver link, observed 2026-08-07T05:37:51.394009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:37:51.394009Z digest=sha256:3f35c6dab7267b3cced60d6ad2f9ab099b203d09569c95382adfcbbe7f2935bb

Observation a81ebc99-97f2-4426-9742-02a88c943a84 · inbound

A Geometry-Aware AI Emulator for the Coupled Whole Atmosphere from Earth Surface to the Ionosphere and Thermosphere cites this paper.

A Geometry-Aware AI Emulator for the Coupled Whole Atmosphere from Earth Surface to the Ionosphere and Thermosphere FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 41

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unresolved
no resolver link, observed 2026-08-06T23:12:39.951178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:12:39.951178Z digest=sha256:17456ff315e48acfad7e78fc0e2e65b96c2d0c382a61e53280b6ffd3fb3820bb

Observation bddd513a-e1aa-4f9a-9487-0c9dd6843b56 · inbound

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model cites this paper.

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T17:00:38.808809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:00:38.808809Z digest=sha256:72ab143e52445876a11fcb2b6b73fbc7677909b6fd5d7706747169862a182627

Observation fb2bf4d8-337c-4b88-ac12-a34b221643f4 · inbound

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods cites this paper.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-05T17:52:51.895779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:52:51.895779Z digest=sha256:70c867b3808fbe9dd823b46ed591978a5d567d3ee10f1a57bdb0aa2804e0b97f

Observation c17eef8d-4eed-42da-af5a-d691136bcd9f · inbound

FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts cites this paper.

FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:01:51.914358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T22:01:09.117203Z digest=sha256:9d6ebc7e7e47e0d4b135d0e24f96a0d18b4920a5b7ef92375708e1b6a6a00d3d

Observation 475db211-44f9-4a58-afbb-d29911b4f0fb · inbound

FuXi-Nowcast: Environment-conditioned deep learning for severe convection nowcasting cites this paper.

FuXi-Nowcast: Environment-conditioned deep learning for severe convection nowcasting FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 34

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unresolved
no resolver link, observed 2026-08-03T18:53:08.057078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:53:08.057078Z digest=sha256:4d7be7799f2fbd3a872854765aa2fbae4b904c6a54f0324ce6b98c07b52b615e

Observation 68b3a5c1-9e52-45c3-8f85-1e9d34d1d57f · inbound

GPROF-IR: An Improved Single-Channel Infrared Precipitation Retrieval for Merged Satellite Precipitation Products cites this paper.

GPROF-IR: An Improved Single-Channel Infrared Precipitation Retrieval for Merged Satellite Precipitation Products FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:40:50.715541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T01:39:54.255354Z digest=sha256:126e1f62c4df4f3267a960f03d291477b0e568a40e8e630f9932dd52e09520e8

Observation 8e5fb195-900f-4c42-9eb1-054e441878e8 · inbound

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 FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-14T05:28:17.350967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T05:28:17.350967Z digest=sha256:3128498a20744b13a08b642a8459f6d868e8651c02b0980591c5c2e267c28512

Observation 3ed2e0e9-a80c-4e15-87ed-19cbfbc79011 · inbound

Prithvi-Precip: Integrating Satellite Observations into an Atmospheric AI Foundation Model for Precipitation Forecasting cites this paper.

Prithvi-Precip: Integrating Satellite Observations into an Atmospheric AI Foundation Model for Precipitation Forecasting FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-05T05:02:59.592742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:02:59.592742Z digest=sha256:588ca2ec8d0dd28c48f4b8d0a2b3bfa1650fd2cb0501638b454b320e48166fed