Paper Citation Record · LEDGER

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2510.20769.

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

pith.paper-citation-record.v1
2510.20769 v2

Coverage vector

measured 25 of 25 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T08:26:59.915573Z

measured 25 of 25 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

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Reference resolution

25 of 25 outbound references displayed

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Outbound references

Observation e6541ceb-fcdd-48b4-9ac0-402109cd798b · outbound

This paper cites Gfs-powered machine learning weather prediction: A comparative study on training graphcast with noaa’s gdas data for global weather forecasts.Preprint, 2025.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Gfs-powered machine learning weather prediction: A comparative study on training graphcast with noaa’s gdas data for global weather forecasts.Preprint, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:57.233922Z

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Observation 295fe7c0-d4d1-471f-9c54-322758c20aae · outbound

This paper cites an unresolved cited work.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:57.300316Z

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Observation 0a51fc37-b846-4566-9ad3-e778cb922d64 · outbound

This paper cites Fact sheet: Ensem- ble weather forecasting.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Fact sheet: Ensem- ble weather forecasting

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:57.359593Z

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Observation 6fc52804-c92b-45c1-a998-cc8dda74f5f5 · outbound

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

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:57.415214Z

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Observation bd90beab-50f8-457c-934a-da69218b836e · outbound

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

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:57.474123Z

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Observation f17769ee-118b-4d2a-b98c-e5a663bb4602 · outbound

This paper cites Probabilistic weather forecasting with machine learning.Nature, 637(8044):84–90, 2025.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Probabilistic weather forecasting with machine learning.Nature, 637(8044):84–90, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:57.542705Z

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Observation 30abab26-d86d-4ef0-bf8b-0078954e4397 · outbound

This paper cites FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:57.604185Z

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Observation 8f6394d4-8763-4967-bfe9-3f14dc49d1ea · outbound

This paper cites The era5 global reanalysis.Quarterly Journal of the Royal Meteorological Society, 146(730):1999–2049, 2020.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting The era5 global reanalysis.Quarterly Journal of the Royal Meteorological Society, 146(730):1999–2049, 2020

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:57.685263Z

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Observation bc415437-8f32-419d-a0a7-ac8be3db5c82 · outbound

This paper cites Dreary state of precipitation in global models.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Dreary state of precipitation in global models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:57.798530Z

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Observation 47ef305e-ec6f-4e2d-b3f7-70fd4147db82 · outbound

This paper cites The quiet revolution of numerical weather prediction.Nature, 525(7567):47–55, 2015.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting The quiet revolution of numerical weather prediction.Nature, 525(7567):47–55, 2015

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:57.900690Z

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Observation abacfc41-ba0f-4027-b2b5-be48138fd08e · outbound

This paper cites A review of global precipitation data sets: Data sources, estimation, and intercomparisons.Reviews of geophysics, 56(1):79–107, 2018.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting A review of global precipitation data sets: Data sources, estimation, and intercomparisons.Reviews of geophysics, 56(1):79–107, 2018

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:58.004655Z

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Observation 229f7787-a22a-4ec8-9f6d-b7f638df3c7d · outbound

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

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting GenCast: Diffusion-based ensemble forecasting for medium-range weather

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:58.090300Z

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Observation faddd300-552d-48e4-b6f4-f9db2094fae8 · outbound

This paper cites An introduction to multivariate probabilistic forecast evaluation.Energy and AI, 4:100058, 2021.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting An introduction to multivariate probabilistic forecast evaluation.Energy and AI, 4:100058, 2021

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:58.160428Z

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Observation 3d0e8f90-20f9-48d0-a12b-0f8d7ecaced6 · outbound

This paper cites The era5 global reanalysis.Quarterly journal of the royal meteorological society, 146(730):1999–2049, 2020.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting The era5 global reanalysis.Quarterly journal of the royal meteorological society, 146(730):1999–2049, 2020

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:58.303715Z

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Observation ca6b080f-7591-46c4-bea4-9fd0c93055ae · outbound

This paper cites Huffman, David T Bolvin, Dan Braithwaite, Kuolin Hsu, Robert Joyce, Christopher Kidd, Eric J Nelkin, Soroosh Sorooshian, Jackson Tan, and Pingping Xie.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Huffman, David T Bolvin, Dan Braithwaite, Kuolin Hsu, Robert Joyce, Christopher Kidd, Eric J Nelkin, Soroosh Sorooshian, Jackson Tan, and Pingping Xie

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:58.444077Z

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Observation 6e0a6bd4-27b9-4855-89ef-4ceccae6f5bb · outbound

This paper cites Performance of imerg as a function of spatiotemporal scale.Journal of Hydrometeorology, 18(2):307–319, 2017.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Performance of imerg as a function of spatiotemporal scale.Journal of Hydrometeorology, 18(2):307–319, 2017

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:58.609920Z

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Observation 0526b1fc-4227-424a-95dd-6ee7afeae026 · outbound

This paper cites Global forecast system (gfs).

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Global forecast system (gfs)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:58.758444Z

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Observation bdd13732-4f78-494b-af34-bd42c9d48807 · outbound

This paper cites Global ensemble forecast system (gefs).

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Global ensemble forecast system (gefs)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:58.823365Z

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Observation 4188dfea-b2a0-4627-a8bd-e5031f674ea7 · outbound

This paper cites Fuxi: a cascade machine learning forecasting system for 15-day global weather forecast.npj climate and atmospheric science, 6(1):190, 2023.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Fuxi: a cascade machine learning forecasting system for 15-day global weather forecast.npj climate and atmospheric science, 6(1):190, 2023

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:58.959418Z

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Observation 07e1fc77-9fb5-4e29-b948-273847966cdf · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35:10078–10093, 2022.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35:10078–10093, 2022

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:59.067337Z

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Observation 1ff286fb-0df6-4972-bc9f-7523ced68197 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Film: Visual reasoning with a general conditioning layer

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:59.226208Z

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Observation 22da3d8f-fcbe-48a2-bebc-3e456bcc7526 · outbound

This paper cites Gnn-film: Graph neural networks with feature-wise linear modulation.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Gnn-film: Graph neural networks with feature-wise linear modulation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:59.383566Z

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Observation b6279614-64c7-4c9a-be23-774cf1f3a5f1 · outbound

This paper cites Learning skillful medium-range global weather forecasting.Science, 382(6677):1416–1421, 2023.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting Learning skillful medium-range global weather forecasting.Science, 382(6677):1416–1421, 2023

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:59.608969Z

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Observation 265200c5-91dc-4e14-860d-2ff68633e242 · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 24

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Observation e4838ee2-4bf2-4f27-8a83-332962895dc5 · outbound

This paper cites The blue horizontal line denotes the GEFS baseline (0), while the red curves represent the relative BS of the CSU-PCAST model compared with GEFS.

CSU-PCAST: A Dual-Branch Transformer Framework for medium-range ensemble Precipitation Forecasting The blue horizontal line denotes the GEFS baseline (0), while the red curves represent the relative BS of the CSU-PCAST model compared with GEFS

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T08:26:59.915573Z

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