Paper Citation Record · LEDGER

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts

As of 15 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2412.13957.

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

pith.paper-citation-record.v1
2412.13957 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:42:50.083977Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b411c01-f5fb-4aa2-a0d7-3421cf1a204b · outbound

This paper cites Al-Dabbous, S.

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Al-Dabbous, S

Reference 1

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Source-reported events for the cited work

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Observation 2696b014-7f32-487e-bb12-3c5b8300978a · outbound

This paper cites URL https://confluence.ecmwf.int/display/ CKB/ERA5%3A+data+documentation, known issues with analysed near surface winds and their diurnal cycle, Accessed: 2024-12-05.

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts URL https://confluence.ecmwf.int/display/ CKB/ERA5%3A+data+documentation, known issues with analysed near surface winds and their diurnal cycle, Accessed: 2024-12-05

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:42:50.423303Z

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Observation a19b4bb1-9a85-487e-a1b8-8e551aaf2a51 · outbound

This paper cites Dueben, P.

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Dueben, P

Reference 4

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Source-reported events for the cited work

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Observation 1d1e3aff-229e-4e79-81e3-aea67292c2f4 · outbound

This paper cites Messori, 2021: Ensemble methods for neural network-based weather forecasts.

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Messori, 2021: Ensemble methods for neural network-based weather forecasts

Reference 11

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Source-reported events for the cited work

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Observation d6b5c639-2207-4a63-8b51-6c0783ca0194 · outbound

This paper cites The rise of data-driven weather forecasting.

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts The rise of data-driven weather forecasting

Reference 27

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Source-reported events for the cited work

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Observation 879ee669-826a-47cf-aeb4-8bdbbb86867e · outbound

This paper cites an unresolved cited work.

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Unresolved cited work

Reference 30

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4f1cca24-bb70-44a6-ad68-d701118af8d5 · outbound

This paper cites Journal of Pharmaceutical Analysis , 101081.

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Journal of Pharmaceutical Analysis , 101081

Reference 70

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Source-reported events for the cited work

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Observation 4d500200-e4ad-46f1-853b-04b04e959216 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Gaussian Error Linear Units (GELUs)

Reference 92

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Source-reported events for the cited work

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Observation e2512c20-7f28-46d9-bdda-183c57c88702 · outbound

This paper cites Lerch, 2022: Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison.

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Lerch, 2022: Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:42:50.358099Z

Source-reported events for the cited work

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Observation daafe39e-0604-45af-9fb6-46a89faf4e94 · outbound

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

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts GraphCast: Learning skillful medium-range global weather forecasting

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-11T12:42:50.040054Z

Source-reported events for the cited work

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Observation 8baa3da6-5f58-4349-80a5-144bfa1b52a4 · outbound

This paper cites Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth System Models.

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth System Models

Reference 162

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Source-reported events for the cited work

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Observation 54b607cc-0f82-4039-ab78-5df41055e250 · outbound

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

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 301

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Source-reported events for the cited work

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Observation 22de71ce-8b2d-4f8a-a3ba-42cccaf30dc1 · outbound

This paper cites an unresolved cited work.

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Unresolved cited work

Reference 412

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Source-reported events for the cited work

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Observation 75e95fc8-0035-4d3d-adcd-0b16f0c03b53 · outbound

This paper cites Zhang, and M.

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Zhang, and M

Reference 735

Resolution: verified exact; doi, observed 2026-08-11T12:42:50.127241Z

Source-reported events for the cited work

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Observation 20c20bae-da08-4de9-8cab-6bdfe446056e · outbound

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

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

Reference 987

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b042df3-625e-41ec-895f-f1e5453393dc · outbound

This paper cites Lerch, 2018: Neural networks for postprocessing ensemble weather fore- casts.

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Lerch, 2018: Neural networks for postprocessing ensemble weather fore- casts

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:42:50.392013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.