Paper Citation Record · LEDGER

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation

As of 20 July 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2605.10297.

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

pith.paper-citation-record.v1
2605.10297 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:38:32.869200Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-20T06:30:07.809122+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T08:50:01.837338Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T12:15:01.025339Z

Reference resolution

36 of 36 outbound references displayed

verified exact5
verified fuzzy31
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0da62cae-712c-4ad2-b3fa-2e2d71360023 · outbound

This paper cites Potential Applications of Subseasonal-to-seasonal (S2S) Predictions.Meteorological applications, 24:315–325.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Potential Applications of Subseasonal-to-seasonal (S2S) Predictions.Meteorological applications, 24:315–325

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.022275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 9ef49f02-82e4-44b4-bbc4-51f7c080f048 · outbound

This paper cites The Subseasonal Experi- ment (SubX): A Multimodel Subseasonal Prediction Experiment.Bulletin of the American Meteorological Society, 100:2043–2060.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation The Subseasonal Experi- ment (SubX): A Multimodel Subseasonal Prediction Experiment.Bulletin of the American Meteorological Society, 100:2043–2060

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.019205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation e211cb20-93c9-4bf9-8f1b-5df09ce42659 · outbound

This paper cites Sub- seasonal Forecasts of Demand and Wind Power and Solar Power Generation for 28 European Countries.Earth System Science Data, 13:2259–2274.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Sub- seasonal Forecasts of Demand and Wind Power and Solar Power Generation for 28 European Countries.Earth System Science Data, 13:2259–2274

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.016136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 826ed076-bf06-40ca-b318-2fce2e105661 · outbound

This paper cites Advances in the Application and Utility of Subseasonal-to-seasonal Predictions.Bulletin of the American Meteorological Society, 103:E1448–E1472.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Advances in the Application and Utility of Subseasonal-to-seasonal Predictions.Bulletin of the American Meteorological Society, 103:E1448–E1472

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.013332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 762b423d-7a2f-4c90-bf38-4e3a186805aa · outbound

This paper cites Advances in the subseasonal prediction of extreme events: Relevant case studies across the globe.Bulletin of the American Meteorological Society, 103:E1473–E1501.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Advances in the subseasonal prediction of extreme events: Relevant case studies across the globe.Bulletin of the American Meteorological Society, 103:E1473–E1501

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.070975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 80500e05-b232-4c08-82c4-8c60a255821d · outbound

This paper cites Forced and Free Variations of Weather and Climate.Journal of Atmospheric Sciences, 36:1367–1376.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Forced and Free Variations of Weather and Climate.Journal of Atmospheric Sciences, 36:1367–1376

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.083182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 42087d5c-06ce-4d45-8a24-8ab8a8402e45 · outbound

This paper cites Progress in Subseasonal to Seasonal Pre- diction through a Joint Weather and Climate Community Effort.Npj Climate and Atmospheric Science, 1:4.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Progress in Subseasonal to Seasonal Pre- diction through a Joint Weather and Climate Community Effort.Npj Climate and Atmospheric Science, 1:4

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.080611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation a8c34aa2-eb42-45fd-9020-13e0dfc57743 · outbound

This paper cites A machine learning model that outperforms conventional global subseasonal forecast models.Nature Communications, 15(1):6425.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation A machine learning model that outperforms conventional global subseasonal forecast models.Nature Communications, 15(1):6425

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.086126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 8aa3555d-3f9a-4b6d-8c3d-a497239ae81a · outbound

This paper cites A comparison of the ECMWF, MSC, and NCEP global ensemble prediction systems.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation A comparison of the ECMWF, MSC, and NCEP global ensemble prediction systems

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.074584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation bdcb06ba-2246-48ed-a90e-31e37b41e523 · outbound

This paper cites Ensemble Forecasting.Journal of Computational Physics, 227:3515–3539.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Ensemble Forecasting.Journal of Computational Physics, 227:3515–3539

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.088404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 6cac38fe-8a51-4920-91a4-7b4842b40eb1 · outbound

This paper cites Sub-seasonal Forecasting with a Large Ensemble of Deep-learning Weather Prediction Models.Journal of Advances in Modeling Earth Systems, 13:e2021MS002502.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Sub-seasonal Forecasting with a Large Ensemble of Deep-learning Weather Prediction Models.Journal of Advances in Modeling Earth Systems, 13:e2021MS002502

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.077825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 9ffe6470-7325-478d-af99-f4360c9fe786 · outbound

This paper cites Ensemble size versus bias correction effects in subseasonal-to-seasonal (s2s) forecasts.Geoscience Letters, 10:37.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Ensemble size versus bias correction effects in subseasonal-to-seasonal (s2s) forecasts.Geoscience Letters, 10:37

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.065397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation dd4395c6-ce9c-4234-857d-68d15813fcbe · outbound

This paper cites an unresolved cited work.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Unresolved cited work

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.093061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation af743a3f-a6f8-4715-a412-9d9ce4f91437 · outbound

This paper cites The ERA5 Global Reanalysis.Quarterly journal of the royal meteorological society, 146:1999–2049.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation The ERA5 Global Reanalysis.Quarterly journal of the royal meteorological society, 146:1999–2049

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.095417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 18900ea0-69e0-4356-b7e1-7b1aa1a8f824 · outbound

This paper cites Fuxi-ens: A machine learning model for efficient and accurate ensemble weather prediction.Science Advances, 11:eadu2854.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Fuxi-ens: A machine learning model for efficient and accurate ensemble weather prediction.Science Advances, 11:eadu2854

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.090974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 9baedda4-c163-441e-b8d7-971547645040 · outbound

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

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:04:51.544820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 650ba0bf-c7ed-4e7e-b44b-bfa3e3aac710 · outbound

This paper cites Accurate medium-range global weather forecasting with 3d neural networks.Nature, 619:533–538.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Accurate medium-range global weather forecasting with 3d neural networks.Nature, 619:533–538

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.062414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 41bc6767-96bb-4617-bc00-bc1e8eea251a · outbound

This paper cites Learning Skillful Medium-range Global Weather Forecasting.Science, 382(6677):1416–1421.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Learning Skillful Medium-range Global Weather Forecasting.Science, 382(6677):1416–1421

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.010247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 41547237-e092-4763-8527-a49c9d59dd36 · outbound

This paper cites Fengwu: Pushing the skillful global medium-range weather forecast beyond 10 days lead.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Fengwu: Pushing the skillful global medium-range weather forecast beyond 10 days lead

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:26.100242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation dfe28d7b-0052-475d-84a9-3eb8e0b610e5 · 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.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Fuxi: A cascade machine learning forecasting system for 15-day global weather forecast.npj climate and atmospheric science, 6(1):190

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.054167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation e2233113-7f9b-4907-82d7-1eb4d5257cd4 · outbound

This paper cites Neural general circulation models for weather and climate.Nature, 632(8027):1060–1066.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Neural general circulation models for weather and climate.Nature, 632(8027):1060–1066

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.056916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation a85b4498-085f-4911-bef0-1f95b8e480e7 · outbound

This paper cites FuXi-RTM: A Physics-Guided Pre- diction Framework with Radiative Transfer Modeling.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation FuXi-RTM: A Physics-Guided Pre- diction Framework with Radiative Transfer Modeling

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.059432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 3823e61e-231a-46ce-8d7c-6c241a2da7f3 · outbound

This paper cites CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:26.087769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 5d035eb4-d4fa-4322-8048-78b69bd3b29b · outbound

This paper cites Equivariant and Invariant Message Passing for Global Subseasonal-to-seasonal Forecasting.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Equivariant and Invariant Message Passing for Global Subseasonal-to-seasonal Forecasting

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.051668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation b7432477-b3f8-4303-8bff-f05256328f78 · outbound

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

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Probabilistic weather forecasting with machine learning.Nature, 637:84–90

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.068006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation d9cfde7f-64de-4ded-a2fe-f51540164ac1 · outbound

This paper cites Generative emula- tion of weather forecast ensembles with diffusion models.Science Advances, 10(13):eadk4489.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Generative emula- tion of weather forecast ensembles with diffusion models.Science Advances, 10(13):eadk4489

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.025263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 46611def-02a9-4e85-b76d-a040ebe47a88 · outbound

This paper cites Calibrated probabilistic forecasting using ensemble model output statistics and minimum crps estimation.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Calibrated probabilistic forecasting using ensemble model output statistics and minimum crps estimation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.037232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 76ec3b35-75c1-458e-9f09-d10ac52bc717 · outbound

This paper cites Using bayesian model averaging to calibrate forecast ensembles.Monthly weather review, 133(5):1155– 1174.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Using bayesian model averaging to calibrate forecast ensembles.Monthly weather review, 133(5):1155– 1174

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.040561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 0764388c-daab-4fae-9db5-e645346433bd · outbound

This paper cites Calibrated Ensemble Forecasts using Quantile Regression Forests and Ensemble Model Output Statistics.Monthly Weather Review, 144(6):2375–2393.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Calibrated Ensemble Forecasts using Quantile Regression Forests and Ensemble Model Output Statistics.Monthly Weather Review, 144(6):2375–2393

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.034523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 70c5cb2f-7044-4aaa-96aa-392d4a2997c4 · outbound

This paper cites Neural Networks for Postprocessing Ensemble Weather Forecasts.Monthly Weather Review, 146:3885–3900.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Neural Networks for Postprocessing Ensemble Weather Forecasts.Monthly Weather Review, 146:3885–3900

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.031747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 0a0a5e7a-c242-4230-b1a8-06bfb6a2b237 · outbound

This paper cites Ensemble Postprocessing using Quantile Function Regression based on Neural Networks and Bernstein Polynomials.Monthly Weather Review, 148:403–414.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Ensemble Postprocessing using Quantile Function Regression based on Neural Networks and Bernstein Polynomials.Monthly Weather Review, 148:403–414

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.043654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation ecce23bf-ab46-4a6c-aa89-eb786e7c2644 · outbound

This paper cites Using artificial neural networks for generating probabilistic subseasonal precipitation forecasts over california.Monthly Weather Review, 148(8):3489–3506.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Using artificial neural networks for generating probabilistic subseasonal precipitation forecasts over california.Monthly Weather Review, 148(8):3489–3506

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.046375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 90619ec8-e2e2-47cc-9a7c-398fb2580338 · outbound

This paper cites MetNet: A Neural Weather Model for Precipitation Forecasting.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation MetNet: A Neural Weather Model for Precipitation Forecasting

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:26.096256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation d8a1c0dd-e31d-4fe9-a25b-07089d822dc3 · outbound

This paper cites Deep learning for twelve hour precipitation forecasts.Nature communications, 13(1):5145.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation Deep learning for twelve hour precipitation forecasts.Nature communications, 13(1):5145

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.028873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation ed197804-4f87-404e-b4b5-1f95e15adfcc · outbound

This paper cites The ai weather quest: an international competition for sub-seasonal forecasting with ai.Machine Learning: Earth, 1:010701.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation The ai weather quest: an international competition for sub-seasonal forecasting with ai.Machine Learning: Earth, 1:010701

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T14:06:38.048780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Observation 655dcdd3-bbe4-4b57-abb9-a328c230bf7b · outbound

This paper cites A foundation model for the earth system.Nature, 641:1180–1187.

QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation A foundation model for the earth system.Nature, 641:1180–1187

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:26.103707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

Pith citing papers

Observation 719edee5-3d2b-419f-9afd-28dcfbc9a1cd · inbound

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

AIFS-SUBS: Extending Data-Driven Forecasting to Sub-Seasonal Timescales QuantWeather: Quantile-Aware Probabilistic Forecasting for Subseasonal Precipitation

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T08:57:58.322917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.