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Paper Citation Record · LEDGER

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast

As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2505.04396.

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

pith.paper-citation-record.v1
2505.04396 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

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measured 44 of 44 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

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc99726c-4572-4733-a14b-7e8c2cf31f10 · outbound

This paper cites Ember, United Kingdom (2024) 23.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Ember, United Kingdom (2024) 23

Reference 1

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Observation bebadd9d-0335-46f5-95f7-605509ef260f · outbound

This paper cites Applied Energy 355, 122331 (2024).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Applied Energy 355, 122331 (2024)

Reference 2

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Observation e55e1873-2c2e-4280-8980-56350cfffdd3 · outbound

This paper cites Engineering Science & Technology Journal 5(7), 2379–2401 (2024).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Engineering Science & Technology Journal 5(7), 2379–2401 (2024)

Reference 3

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Observation 65dd2d77-0254-4474-af77-ecd1ea225569 · outbound

This paper cites Nature Reviews Electrical Engineering 1(1), 53–66 (2024).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Nature Reviews Electrical Engineering 1(1), 53–66 (2024)

Reference 4

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Observation 3499cd44-1027-441d-8d9c-133e4e468f64 · outbound

This paper cites Scientific Reports 14(1), 7254 (2024).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Scientific Reports 14(1), 7254 (2024)

Reference 5

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Observation 4962afb9-a008-43ce-9ed4-67f07d8ce190 · outbound

This paper cites Nature Energy (2024).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Nature Energy (2024)

Reference 6

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Observation ef90b30c-1a93-44d2-b5f3-2678be93cf30 · outbound

This paper cites : Overcoming the disconnect between energy system and climate modeling.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast : Overcoming the disconnect between energy system and climate modeling

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9efc1261-635b-4e40-aae7-f6f41b0a41b1 · outbound

This paper cites Journal of computational physics227(7), 3641–3666 (2008).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Journal of computational physics227(7), 3641–3666 (2008)

Reference 8

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Source-reported events for the cited work

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Observation ed9ec275-4224-4207-bfc9-3dbf8357acc6 · outbound

This paper cites Journal of Advances in Modeling Earth Systems 12(4), 2019–001945 (2020).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Journal of Advances in Modeling Earth Systems 12(4), 2019–001945 (2020)

Reference 9

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Observation 0ca8969a-1bb1-4fc4-a84d-4ffbc4382bc5 · outbound

This paper cites Quarterly Journal of the Royal Meteorological Society 148(745), 1623–1643 (2022).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Quarterly Journal of the Royal Meteorological Society 148(745), 1623–1643 (2022)

Reference 10

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Observation f7df5ed7-bb82-4b3f-b7b9-9edaf1e53439 · outbound

This paper cites Journal of Geophysical Research: Atmospheres 113(D9) (2008).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Journal of Geophysical Research: Atmospheres 113(D9) (2008)

Reference 11

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Observation 2f97ac26-f02f-481f-a448-3cb51a8fae8d · outbound

This paper cites Progress in Earth and Planetary Science 6(1), 1–17 (2019).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Progress in Earth and Planetary Science 6(1), 1–17 (2019)

Reference 12

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Observation 2478af8e-49bd-4f62-b005-5d709973fc3f · outbound

This paper cites Cambridge University Press, ??? (2007).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Cambridge University Press, ??? (2007)

Reference 13

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Observation 01152479-f78c-48d8-889e-932a8db4bd8f · outbound

This paper cites an unresolved cited work.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d4de54bb-8c89-4e5a-b05c-a5fd07a2ef42 · outbound

This paper cites Quarterly Journal of the Royal Meteorological Society 148(744), 1368–1388 (2022).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Quarterly Journal of the Royal Meteorological Society 148(744), 1368–1388 (2022)

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation af643ef7-07f9-43ae-9e57-56b86c6425db · outbound

This paper cites Geophysical Research Letters 40(18), 4922–4926 (2013).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Geophysical Research Letters 40(18), 4922–4926 (2013)

Reference 16

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Source-reported events for the cited work

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Observation 3a30edae-33a5-46cd-8462-77f9fcbe9f4a · outbound

This paper cites Proceedings of the national academy of sciences115(39), 9684–9689 (2018).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Proceedings of the national academy of sciences115(39), 9684–9689 (2018)

Reference 17

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Observation 9301d8d0-9e44-42fb-8b97-8dd7b74f6bd2 · outbound

This paper cites Journal of computational physics 227(7), 3515–3539 (2008).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Journal of computational physics 227(7), 3515–3539 (2008)

Reference 18

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Observation 34a5c501-da31-4811-bda9-6dca0836c579 · outbound

This paper cites Bulletin of the American Meteorological Society 83(1), 73–84 (2002).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Bulletin of the American Meteorological Society 83(1), 73–84 (2002)

Reference 19

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Observation 2d0e3e7f-8ad3-400b-b329-64795ccdd124 · outbound

This paper cites Current Climate Change Reports 5, 172–184 (2019).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Current Climate Change Reports 5, 172–184 (2019)

Reference 20

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Observation b0bb330d-e1d7-499b-88c2-fc8f871658c7 · outbound

This paper cites Nature Energy, 1–13 (2024).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Nature Energy, 1–13 (2024)

Reference 21

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 15ea1435-948f-4b84-9da3-02ad23d6ef5c · outbound

This paper cites IEEE Signal Processing Magazine 34(4), 18–42 (2017).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast IEEE Signal Processing Magazine 34(4), 18–42 (2017)

Reference 22

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Observation e2c5ab33-e32d-45c1-86b1-c42a2b3ed645 · outbound

This paper cites Water Resources Research 55(3), 2301–2321 (2019).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Water Resources Research 55(3), 2301–2321 (2019)

Reference 23

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Observation b5015537-35fb-44a8-9ad6-3682d27da259 · outbound

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Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d15af12e-a002-4cb2-ba9b-af8d9ae22f4c · outbound

This paper cites Journal of Advances in Modeling Earth Systems 13(10), 2021–002509 (2021).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Journal of Advances in Modeling Earth Systems 13(10), 2021–002509 (2021)

Reference 25

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Observation dd92a504-f0fd-4f1c-86a9-fd483f6ef6ac · outbound

This paper cites an unresolved cited work.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Unresolved cited work

Reference 26

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Observation 2fca662d-5bbc-454f-99fc-aafa12d95a61 · outbound

This paper cites Advances in neural information processing systems 33, 6840–6851 (2020).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Advances in neural information processing systems 33, 6840–6851 (2020)

Reference 27

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Unavailable: canonical work link unavailable.

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Observation 6983eb02-1c1a-4163-a55a-62e6084cb2c4 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Score-Based Generative Modeling through Stochastic Differential Equations

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 57a26cf6-03e6-47dc-8d03-6d2935fcb85f · outbound

This paper cites Solving Inverse Problems in Medical Imaging with Score-Based Generative Models.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 29

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 647eacd0-f1ee-4437-b25e-901720b0ceff · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast In: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 30

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1d468fb0-6993-4615-bef0-d8621f4c67f1 · outbound

This paper cites In: 2023 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast In: 2023 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp

Reference 31

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Observation e1acb523-0abc-45ec-829f-81103107cb11 · outbound

This paper cites GAMM-Mitteilungen, 202470004 (2024).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast GAMM-Mitteilungen, 202470004 (2024)

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 96da58d3-15b4-4e4b-bc80-6cb63c78feec · outbound

This paper cites Physical Review Fluids 6(3), 034402 (2021).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Physical Review Fluids 6(3), 034402 (2021)

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0d114e17-1157-4045-932e-580fd880cac0 · outbound

This paper cites In: 2013 IEEE Global Conference on Signal and Information Processing, pp.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast In: 2013 IEEE Global Conference on Signal and Information Processing, pp

Reference 34

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Source-reported events for the cited work

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Observation ef53392b-ef63-458d-bb32-d5192f92a11b · outbound

This paper cites Authorea Preprints (2023).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Authorea Preprints (2023)

Reference 35

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Observation 9c4ab8f8-74c8-46f3-bf7a-fd18a57c28e7 · outbound

This paper cites : A description of the advanced research wrf version 3.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast : A description of the advanced research wrf version 3

Reference 36

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Observation 714823c7-567e-4f16-962c-4dd985e1e216 · outbound

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

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Quarterly Journal of the Royal Meteorological Society 146(730), 1999–2049 (2020)

Reference 37

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Observation 5ff932bc-28d5-4a9f-b6f7-07dc35e7cf12 · outbound

This paper cites Journal of Geophysical Research: Machine Learning and Computation 2(1), 2024–000260 (2025) https://doi.org/10.1029/2024JH000260.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Journal of Geophysical Research: Machine Learning and Computation 2(1), 2024–000260 (2025) https://doi.org/10.1029/2024JH000260

Reference 38

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Observation 5753d897-fd7a-4902-b003-5a74b5ca1fca · outbound

This paper cites Generative assimilation and prediction for weather and climate.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Generative assimilation and prediction for weather and climate

Reference 39

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Observation 030deaf6-774c-49f9-b9c1-866f550cf9cc · outbound

This paper cites Applied Energy304, 117766 (2021).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Applied Energy304, 117766 (2021)

Reference 40

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2d4bbcf6-7d73-4f41-8e77-24e7d6c4aa51 · outbound

This paper cites Bulletin of the American Meteorological Society 98(8), 1717–1737 (2017).

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Bulletin of the American Meteorological Society 98(8), 1717–1737 (2017)

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b3470fb1-8318-4586-ad39-7f7a120a29cd · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 42

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Observation ce3b3f38-1b35-4c89-ab8c-63804fa3971f · outbound

This paper cites In: Medical Image Computing and Computer-assisted intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18, pp.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast In: Medical Image Computing and Computer-assisted intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18, pp

Reference 43

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Observation 71490c64-851d-4976-954b-35ff7c559ab5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast Adam: A Method for Stochastic Optimization

Reference 44

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unresolved
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Pith citing papers

No inbound Pith citation observations are available.