Pith. sign in

Paper Citation Record · LEDGER

On the Genealogy of Machine Learning Weather Prediction

As of 20 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.05045.

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

pith.paper-citation-record.v1
2607.05045 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T09:39:11.455360Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

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

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved50
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2190840a-06b5-4e99-b437-8f8b080b73eb · outbound

This paper cites Vivit: A video vision transformer.

On the Genealogy of Machine Learning Weather Prediction Vivit: A video vision transformer

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:a9b400cda73f720c5befa51dfc9c0878eb5e34bf72e56649623a2be098a90fe9

Observation 8300a646-5805-4b11-aba0-a4ad419e8022 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

On the Genealogy of Machine Learning Weather Prediction An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:edab78ff03df449e062616aaa53d170e915618d2629cba6fd0a3cd4c8b637458

Observation 6d16f96f-bab0-4711-98da-dc067e9f3577 · outbound

This paper cites A regional high resolution ai weather model for the prediction of atmospheric rivers and extreme precipitation.npj Climate and Atmospheric Science, 8(1):385, 2025.

On the Genealogy of Machine Learning Weather Prediction A regional high resolution ai weather model for the prediction of atmospheric rivers and extreme precipitation.npj Climate and Atmospheric Science, 8(1):385, 2025

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:8c7e6979fcaca7bdc0ad568953a21f8c855453456bdf290fbfad3b149366dcc4

Observation 565ebec6-a380-458b-a1e3-5efb74cbd7b1 · outbound

This paper cites Atmospheric transport modeling of co2 with neural networks.Journal of Advances in Modeling Earth Systems, 17(2):e2024MS004655, 2025.

On the Genealogy of Machine Learning Weather Prediction Atmospheric transport modeling of co2 with neural networks.Journal of Advances in Modeling Earth Systems, 17(2):e2024MS004655, 2025

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:8b3daf6ce953f7575dc0d55f331feb7170473359de5ed5b4a5ae123e5ae31b89

Observation b0341f16-879d-4ccf-942f-8e4adfe2d553 · outbound

This paper cites Is space-time attention all you need for video understanding? InInternational Conference on Machine Learning (ICML), 2021.

On the Genealogy of Machine Learning Weather Prediction Is space-time attention all you need for video understanding? InInternational Conference on Machine Learning (ICML), 2021

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:39130ef53610aacd2a41ff431ae54e421c095567b0fed3a804da22409fae9d22

Observation 594ce5a1-92d4-45ff-8e33-0052ddfd61b7 · outbound

This paper cites Accurate medium-range global weather forecasting with 3d neural networks.Nature, 619(7970):533– 538, 2023.

On the Genealogy of Machine Learning Weather Prediction Accurate medium-range global weather forecasting with 3d neural networks.Nature, 619(7970):533– 538, 2023

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:4a4da8380071612b8654e9a5e7dc6c705f9331a2ce82a923fe98b6060c324389

Observation 82d63879-9b44-40f0-adba-68156bb6944e · outbound

This paper cites Spherical Fourier neural operators: Learning stable dynamics on the sphere.

On the Genealogy of Machine Learning Weather Prediction Spherical Fourier neural operators: Learning stable dynamics on the sphere

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:ef1d64ed946c9cdad0f6eea106a7d4775ad088f18ebd2c58be967c070b17fe74

Observation 3c8e577d-8ff0-4257-a2c3-d94652daf55d · outbound

This paper cites Springer, 2008.

On the Genealogy of Machine Learning Weather Prediction Springer, 2008

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:8abd6f97f6534fe72571ad487ad67d0c84572b031730cb8621dde36157f2acba

Observation 02d59d23-3dae-44a3-b370-53c76b00ed7a · 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.

On the Genealogy of Machine Learning Weather Prediction Fuxi: A cascade machine learning forecasting system for 15-day global weather forecast.npj climate and atmospheric science, 6(1):190, 2023

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:aedd67b0ffebb71728bfb1f420ca6271631a22cac4fa8aa4601ca816f3c408ab

Observation 5b559b78-d685-4504-8fc0-42c122684267 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

On the Genealogy of Machine Learning Weather Prediction Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:12a72abcfdddea8b180041783939da68b9d6736a3c36cf7d676ff5e9d0d66598

Observation fb451cc0-923c-4357-87ab-b98f3bfe6417 · outbound

This paper cites Impact of model structure and dynamics, version 2.

On the Genealogy of Machine Learning Weather Prediction Impact of model structure and dynamics, version 2

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:f4eb7ff58363eab803984f261d9f9fa58c9538bb36293513720f2c247acbaf4d

Observation bb8ce43c-4f5d-43fb-817b-794989311e0c · outbound

This paper cites Challenges and design choices for global weather and climate models based on machine learning.Geoscientific Model Development, 11(10):3999–4009, 2018.

On the Genealogy of Machine Learning Weather Prediction Challenges and design choices for global weather and climate models based on machine learning.Geoscientific Model Development, 11(10):3999–4009, 2018

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:964a5b81f319164c59b7ba1479c8495480fc0eb6b17a6af2a4b4b669a550f80b

Observation 1e5297e8-4c01-4baa-98db-1703a5c9071c · outbound

This paper cites an unresolved cited work.

On the Genealogy of Machine Learning Weather Prediction Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:5c55d972f79535f45e266cc3875579b77875efe7084b63ad0058a8270558f60d

Observation cf564491-006f-4b58-b871-9ae96858374f · outbound

This paper cites Interactive atmospheric composition emulation for next- generation earth system models.arXiv preprint arXiv:2510.10654, 2025.

On the Genealogy of Machine Learning Weather Prediction Interactive atmospheric composition emulation for next- generation earth system models.arXiv preprint arXiv:2510.10654, 2025

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:aaf15f52d63652855cdf16e589f19829c169c62671022ee1baf87000e2597db6

Observation 013a03e9-297a-4e24-9e53-5ad0363fa137 · outbound

This paper cites Prolongation of smap to spatiotem- porally seamless coverage of continental us using a deep learning neural network.Geophysical Research Letters, 44(21):11–030, 2017.

On the Genealogy of Machine Learning Weather Prediction Prolongation of smap to spatiotem- porally seamless coverage of continental us using a deep learning neural network.Geophysical Research Letters, 44(21):11–030, 2017

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:d66d913cf157366002f7d7986986aac93dd381a30fe3ee3ec98f884e1c3c5771

Observation 07243558-8162-4a41-85ee-6e55c89c1084 · outbound

This paper cites Simvp: Simpler yet better video prediction.

On the Genealogy of Machine Learning Weather Prediction Simvp: Simpler yet better video prediction

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:58d1da056dd7f00d63f50760f079ce869fc59cbb339e81581b3d0914f701b357

Observation ec11045e-5b9c-45ca-b45d-156c132490db · outbound

This paper cites Lucie: A lightweight uncoupled climate emulator with long-term stability and physical consistency.

On the Genealogy of Machine Learning Weather Prediction Lucie: A lightweight uncoupled climate emulator with long-term stability and physical consistency

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:834a1da1fe6c5219a38d9a45fbd70686a5fb9830ea97b50230c68eed60a32ee7

Observation 396528b4-ef40-4929-9cf8-7f0b83e1fb4e · outbound

This paper cites Disentangling physical dynamics from unknown factors for unsupervised video prediction.

On the Genealogy of Machine Learning Weather Prediction Disentangling physical dynamics from unknown factors for unsupervised video prediction

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:14b56921cf29681036726354354d6e9e5a31abd82e2ddad7271cbcd63ce239d0

Observation 19f64287-f09b-43b2-a898-af03473c1dcb · outbound

This paper cites Long short-term memory.Neural computation, 9 (8):1735–1780, 1997.

On the Genealogy of Machine Learning Weather Prediction Long short-term memory.Neural computation, 9 (8):1735–1780, 1997

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:b1d9dbdf35d17c35cdafbe93a1c5e4bad9b8530bad0459608b6fdc869855c984

Observation 213b8dbb-c2c7-4240-a407-84387a635f22 · outbound

This paper cites Cambridge uni- versity press, 2003.

On the Genealogy of Machine Learning Weather Prediction Cambridge uni- versity press, 2003

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:97621d6f53d29ce9d805ad4d7f4d55881c9ce28ca110c92059f44b00a6595813

Observation abbec221-f37f-4983-958a-87f4dfaeb9a2 · outbound

This paper cites Forecasting Global Weather with Graph Neural Networks.

On the Genealogy of Machine Learning Weather Prediction Forecasting Global Weather with Graph Neural Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:ab2866b1c322199111aa33dc0f6fd84b94d3b814d8ffe0800ba989562e319efc

Observation 050aac06-7c4d-4c06-9d76-b79e43d350c6 · outbound

This paper cites Rainfall–runoff modelling using long short-term memory (lstm) networks.Hydrology and Earth System Sciences, 22(11):6005–6022, 2018.

On the Genealogy of Machine Learning Weather Prediction Rainfall–runoff modelling using long short-term memory (lstm) networks.Hydrology and Earth System Sciences, 22(11):6005–6022, 2018

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:f0b239083caae8650208bc98b404c722a837d9853d83cc839d01931196d2e29a

Observation 19c68a5a-bd32-4e85-8f4e-0c9e177012d5 · outbound

This paper cites Recent advances in wavelet analyses: Part 2—amazon, parana, orinoco and congo discharges time scale variability.Journal of Hydrology, 314(1-4):289–311, 2005.

On the Genealogy of Machine Learning Weather Prediction Recent advances in wavelet analyses: Part 2—amazon, parana, orinoco and congo discharges time scale variability.Journal of Hydrology, 314(1-4):289–311, 2005

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:a43154c293cd4c81d0d7677079cba17b4abf3e77b5cc4515e8ab90cbf5a1ec79

Observation ed654b53-0477-4069-8b6c-6465f7fdd6a4 · outbound

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

On the Genealogy of Machine Learning Weather Prediction Learning skillful medium-range global weather forecasting.Science, 382(6677):1416–1421, 2023

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:d9e8bd2c0949bc0ed91cdf02e74c6cbf5dd5f4477bccbabf8845b4c7efa6a2f6

Observation eb526e38-dc44-46c3-89f3-6c3a94db1b1e · outbound

This paper cites AIFS -- ECMWF's data-driven forecasting system.

On the Genealogy of Machine Learning Weather Prediction AIFS -- ECMWF's data-driven forecasting system

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:e845753a56494a162e8b4210525214e010e7c05b06cf264eee69b63a425050c6

Observation b3ca3cdd-2e94-459e-ac64-dbee6a68adce · outbound

This paper cites Self-attention convlstm for spatiotemporal prediction.

On the Genealogy of Machine Learning Weather Prediction Self-attention convlstm for spatiotemporal prediction

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:3ba5304306de33503365ac8dbc98a885fbbb013ad25a730abab195f5c81641d7

Observation c835051b-0c57-4f77-9449-ddc28d9e3e3c · outbound

This paper cites The origins of computer weather prediction and climate modeling.Journal of computational physics, 227(7):3431–3444, 2008.

On the Genealogy of Machine Learning Weather Prediction The origins of computer weather prediction and climate modeling.Journal of computational physics, 227(7):3431–3444, 2008

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:c15c8f9f5c21931ce0c9c80067e3710a145644b4a17a23e749eb8c6601a5b689

Observation 783ae364-73e2-4f8c-9f7d-6f331ee85dba · outbound

This paper cites ClimaX: A foundation model for weather and climate.

On the Genealogy of Machine Learning Weather Prediction ClimaX: A foundation model for weather and climate

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:cb63409552429742d9c3c191c7c213a4872eac7f9a62056096ac0914d12b8320

Observation 40aa7ba1-c0d1-45bd-b060-fc0e947e8c4f · outbound

This paper cites Regional data-driven weather modeling with a global stretched grid.Artificial Intelligence for the Earth Systems, 5(2):250001, 2026.

On the Genealogy of Machine Learning Weather Prediction Regional data-driven weather modeling with a global stretched grid.Artificial Intelligence for the Earth Systems, 5(2):250001, 2026

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:8976ef2a58f945fc045a80808cf6a66a87c4198984c385ed6d28f3c5d71f3f6d

Observation 11f5edb2-868c-4137-a0f9-214b75855a96 · outbound

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

On the Genealogy of Machine Learning Weather Prediction FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:7773536e50f41d16c7dbed1c0bfae333af11c2b88cba762ccd5112d3ab629709

Observation 94d3b048-bfb0-40df-be55-6ef0a7890244 · outbound

This paper cites Skilful precip- itation nowcasting using deep generative models of radar.Nature, 597(7878):672–677, 2021.

On the Genealogy of Machine Learning Weather Prediction Skilful precip- itation nowcasting using deep generative models of radar.Nature, 597(7878):672–677, 2021

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:0d34ed6372a940a0efad8e7bb2655b60c5f49545e74bd42cc7ad906694514336

Observation 6615ea62-79ab-4619-baab-4381db8328c2 · outbound

This paper cites Toward data-driven weather and climate forecasting: Approximating a simple general circulation model with deep learning.Geophysical Research Letters, 45(22):12–616, 2018.

On the Genealogy of Machine Learning Weather Prediction Toward data-driven weather and climate forecasting: Approximating a simple general circulation model with deep learning.Geophysical Research Letters, 45(22):12–616, 2018

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:c395b66da6ff000e54a6c46892d3329183342f2c9e15d7adb7cb56ca92dda8e7

Observation 3c8bc7b7-f997-40f7-9f51-42cc9988023e · outbound

This paper cites Convolutional lstm network: A machine learning approach for precipitation nowcasting.

On the Genealogy of Machine Learning Weather Prediction Convolutional lstm network: A machine learning approach for precipitation nowcasting

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:f8e016211e3837eee9f35db30fbb2c5cc88dcff7959c8a3ca719866ecc87824a

Observation 00c13225-a8e1-4a08-9184-97b5b1d07d52 · outbound

This paper cites Deep learning for precipitation nowcasting: A benchmark and a new model.

On the Genealogy of Machine Learning Weather Prediction Deep learning for precipitation nowcasting: A benchmark and a new model

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:247112bdc5da33728edc551f29a8ecf66bdeeac33a0a4bf174c05b354e6b1d45

Observation 663f6704-8ad2-4f14-adac-76d358a05dcf · outbound

This paper cites Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model.Journal of Hydrology, 394(3-4):486–493, 2010.

On the Genealogy of Machine Learning Weather Prediction Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model.Journal of Hydrology, 394(3-4):486–493, 2010

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:65928bee01e751d6b10eb17d102b71cc3da5c10d62f276ca5bf036de79bed28f

Observation e7a790ae-6937-410a-9786-1a73751392dd · outbound

This paper cites Openstl: A comprehensive benchmark of spatio-temporal predictive learning.

On the Genealogy of Machine Learning Weather Prediction Openstl: A comprehensive benchmark of spatio-temporal predictive learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:e0884ea62d2394724192bd20e274ac95390a8f5e84d1908b4da8e1caab491d86

Observation 00d2af00-5acd-4253-b70a-6a600f53b966 · outbound

This paper cites Learning spatiotemporal features with 3D convolutional networks.

On the Genealogy of Machine Learning Weather Prediction Learning spatiotemporal features with 3D convolutional networks

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:d729c42654d7a7d1841a9041f07ed2159c47c9f8c1ead4ac9536f54b613f97ac

Observation c890359c-8b62-4c53-8ae0-a190989d74eb · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

On the Genealogy of Machine Learning Weather Prediction WaveNet: A Generative Model for Raw Audio

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:0a38a91a3d06f9888340f0fade9b110203ffadd823b58ada90054ec9dda03237

Observation 3feb70ab-3cdf-4abd-a26c-45790fc685ef · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

On the Genealogy of Machine Learning Weather Prediction Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:0797f145355858e224a6f20e7d9677550ae45e7feb21d8febaac846c27e41e6d

Observation bd6d2241-8a64-4c29-a058-40f3edcaf141 · outbound

This paper cites PredRNN: Recurrent neural networks for predictive learning using spatiotemporal lstms.Advances in neural information processing systems, 30, 2017.

On the Genealogy of Machine Learning Weather Prediction PredRNN: Recurrent neural networks for predictive learning using spatiotemporal lstms.Advances in neural information processing systems, 30, 2017

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:304639a14291f803b745dab405a59d86e700b6f06a41e15d755917f9868da3ee

Observation c58c42f4-8c2d-4576-9da7-2dc8e16ff48d · outbound

This paper cites PredRNN++: Towards a resolution of the deep-in-time dilemma in spatiotemporal predictive learning.

On the Genealogy of Machine Learning Weather Prediction PredRNN++: Towards a resolution of the deep-in-time dilemma in spatiotemporal predictive learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:a4a80a2d3c3a431b81e9a0ba801e4c7fbfca2444ddcddbd231b8760a559d8f65

Observation 8f5e4aab-2ad1-4633-9829-6d125599fbb2 · outbound

This paper cites Memory in memory: A predictive neural network for learning higher-order non-stationarity from spatiotemporal dynamics.

On the Genealogy of Machine Learning Weather Prediction Memory in memory: A predictive neural network for learning higher-order non-stationarity from spatiotemporal dynamics

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:3f9df52c49126ab1c9b1038c4168239a8ce5debd32e722adb9f8db6c27afaca1

Observation 2ee8b876-c67e-407a-a116-addecf247c9b · outbound

This paper cites Machine learning for weather and climate are worlds apart.Philo- sophical transactions.

On the Genealogy of Machine Learning Weather Prediction Machine learning for weather and climate are worlds apart.Philo- sophical transactions

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:e43f17ad8367fbf22d34d6841a90bd4e7551b8b2a9e5c9d601a65c14459a0c6b

Observation e1ece126-147c-43bd-970d-3bf4e604d716 · outbound

This paper cites Climatebench v1.

On the Genealogy of Machine Learning Weather Prediction Climatebench v1

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:2474598e6a539248b415c97ef956d5694acfc08eba67e19c56813aee5751a935

Observation b7756e78-cf3c-4603-8d93-79b24c539278 · outbound

This paper cites ACE: A fast, skillful learned global atmospheric model for climate prediction.

On the Genealogy of Machine Learning Weather Prediction ACE: A fast, skillful learned global atmospheric model for climate prediction

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:492da626916311fcd28d0d8f4aec84a8775db11e5041e14fb86e4b0d830840a1

Observation 44ae9e1b-5823-4d29-97b1-6ea56596a000 · outbound

This paper cites Can machines learn to predict weather? using deep learning to predict gridded 500-hpa geopotential height from historical weather data.

On the Genealogy of Machine Learning Weather Prediction Can machines learn to predict weather? using deep learning to predict gridded 500-hpa geopotential height from historical weather data

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:bbb70858e772ef29cb747937bc4c1b5cd5877479deefcabb8f300a211c331542

Observation d044e377-89bf-472c-9031-528416af0cd7 · outbound

This paper cites Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere.Journal of Advances in Modeling Earth Systems, 12(9):e2020MS002109, 2020.

On the Genealogy of Machine Learning Weather Prediction Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere.Journal of Advances in Modeling Earth Systems, 12(9):e2020MS002109, 2020

Reference 47

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:9abe998ff09f836cc55d235ac1c409a62f57227e3dbadf8f6b7b2fdb6a0bf2cc

Observation 4a376123-3a64-4cb0-9375-21e3e2aaa90f · outbound

This paper cites Deep learning for spatiotemporal forecasting in earth system science: a review.International Journal of Digital Earth, 17(1):2391952, 2024.

On the Genealogy of Machine Learning Weather Prediction Deep learning for spatiotemporal forecasting in earth system science: a review.International Journal of Digital Earth, 17(1):2391952, 2024

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:d6dd90a13ded86a3d8bad4d8dc3b78b13c17d49ba91153aa19764b758725994f

Observation 572351e4-7cf2-441c-abf3-10f497cc70aa · outbound

This paper cites Efficient and information-preserving future frame prediction and beyond.

On the Genealogy of Machine Learning Weather Prediction Efficient and information-preserving future frame prediction and beyond

Reference 49

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:560e9f37d016ec238325b739b1f95dc9cd0fa33669855a12cb2e98325290036b

Observation f326fec6-0f0e-4994-84be-40002e62282a · outbound

This paper cites CNN encoder + temporal Transformer.

On the Genealogy of Machine Learning Weather Prediction CNN encoder + temporal Transformer

Reference 50

Resolution
unresolved
no resolver link, observed 2026-07-11T09:39:11.455360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:39:11.455360Z digest=sha256:932dd6afa38502f42740d96f7ad13521cef02fd664a95f0d3f22eede940fa43c

Pith citing papers

No inbound Pith citation observations are available.