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Paper Citation Record · LEDGER

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System

As of 8 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2505.24429.

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

pith.paper-citation-record.v1
2505.24429 v2

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:27.763373Z

measured 80 of 80 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

80 of 80 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d2933b5-10fb-4d37-9f43-563bafa3099f · outbound

This paper cites write newline.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System write newline

Reference 1

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Observation c183cf1a-7b22-49f5-bbbd-cb1f66e7a287 · outbound

This paper cites P., Samuels, B.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System P., Samuels, B

Reference 2

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Observation c2545256-9862-4aec-bef3-95fc5b7a15df · outbound

This paper cites D., Álvarez Salgado, X.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System D., Álvarez Salgado, X

Reference 3

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This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 4

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Observation 7034e3d0-0635-4417-bee0-7e10ed9c7e8f · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 5

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Observation cae30689-8e0f-48ec-a15f-0e0f6a57d97c · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Relational inductive biases, deep learning, and graph networks

Reference 6

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Observation 8b27d3fb-c082-4033-b58c-fdc64c909782 · outbound

This paper cites W., Pascanu, R., Lai, M., Rezende, D., and Kavukcuoglu, K.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System W., Pascanu, R., Lai, M., Rezende, D., and Kavukcuoglu, K

Reference 7

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Observation 6f8611ed-adc7-4c0c-bc65-860dee31ae63 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 8

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Observation a4e848ed-ee98-421a-90d8-5701fdd95258 · outbound

This paper cites J., Lefèbvre, M., Traon, P.-Y.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System J., Lefèbvre, M., Traon, P.-Y

Reference 9

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This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 10

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Observation 8f99d468-c7cf-4198-8485-327201a636d9 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 11

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Observation 1c83d530-200f-4788-be57-e0530328faf3 · outbound

This paper cites L., Cheung, W.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System L., Cheung, W

Reference 12

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Observation 786b6b9a-5d32-4649-a3f7-76812fd3cbd2 · outbound

This paper cites P., Lucic, A., Stanley, M., Brandstetter, J., Garvan, P., Riechert, M., Weyn, J., Dong, H., Vaughan, A., Gupta, J.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System P., Lucic, A., Stanley, M., Brandstetter, J., Garvan, P., Riechert, M., Weyn, J., Dong, H., Vaughan, A., Gupta, J

Reference 13

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Observation 3abc4761-ef01-4419-a6d6-02c0b8614c82 · outbound

This paper cites B., Clare, M.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System B., Clare, M

Reference 14

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Source-reported events for the cited work

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Observation 5c1e464f-44b7-4d4d-973f-3d3870bddb1f · outbound

This paper cites and Verron, J.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System and Verron, J

Reference 15

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Observation bd386b61-3097-4ce2-a9bc-03c2c65a0520 · outbound

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Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 16

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Observation 48a04122-5102-4b47-bc5c-0c94b45d73c5 · outbound

This paper cites P., Cazenave, A., Champollion, N., Dieng, H., Llovel, W., Forsberg, R., von Schuckmann, K., and Wada, Y.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System P., Cazenave, A., Champollion, N., Dieng, H., Llovel, W., Forsberg, R., von Schuckmann, K., and Wada, Y

Reference 17

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Observation 4c0d40e3-474d-4e44-8fe0-e6268cf9941d · outbound

This paper cites B., and He, R.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System B., and He, R

Reference 18

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Observation 688188ef-d710-41f4-ad63-b28c78e0cdc8 · outbound

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Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation cbca5ea0-fe42-481c-9206-8ca0c9755c64 · outbound

This paper cites Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution

Reference 20

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Observation bd249e8e-5a60-45a8-b14c-716ba48f93d3 · outbound

This paper cites European North West Shelf/Iberia Biscay Irish seas - high resolution l4 sea surface temperature reprocessed.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System European North West Shelf/Iberia Biscay Irish seas - high resolution l4 sea surface temperature reprocessed

Reference 21

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Observation 31080582-a2fb-4378-b109-f96d34119308 · outbound

This paper cites ArchesWeather: An efficient AI weather forecasting model at 1.5{\deg} resolution.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System ArchesWeather: An efficient AI weather forecasting model at 1.5{\deg} resolution

Reference 22

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Source-reported events for the cited work

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Observation 3b92e3f9-e74d-497a-9cc7-0a4f4f43bce7 · outbound

This paper cites E., Hanna, E., and Bigg, G.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System E., Hanna, E., and Bigg, G

Reference 23

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Observation 512e6111-fa36-445d-b9ec-94476e00ec62 · outbound

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Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 24

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Observation 685257b2-166b-4040-8386-4d5326656f38 · outbound

This paper cites P., Uppala, S.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System P., Uppala, S

Reference 25

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This paper cites P., Roberts, M.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System P., Roberts, M

Reference 26

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Observation a68ab485-c55f-4730-b9a9-0eb0742c673a · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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This paper cites N., Rodríguez-Santana, \'A ., Naveira-Garabato, A.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System N., Rodríguez-Santana, \'A ., Naveira-Garabato, A

Reference 28

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Source-reported events for the cited work

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Observation 70636565-2a44-4f29-82e9-4131d5c690e4 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-07T12:35:36.414661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a0f9ae7e-f82a-4d8d-9f86-a2026223d135 · outbound

This paper cites G., Ziemann, D., Kolber, Z., and Bienfang, P.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System G., Ziemann, D., Kolber, Z., and Bienfang, P

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e790290f-c947-4182-a935-3b32bf81e9c5 · outbound

This paper cites L., Chune, S.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System L., Chune, S

Reference 31

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Source-reported events for the cited work

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Observation e45317d2-6208-4544-8f40-9ff72f155748 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4e7ee666-d2a7-4f2a-a9c7-507e464e949d · outbound

This paper cites and Schmidhuber, J.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System and Schmidhuber, J

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 55ecba14-59ed-44b6-8364-0a579acaff5b · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 34

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unresolved
raw_fallback, observed 2026-08-07T12:35:34.794956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.523804Z digest=sha256:a08e92d92d9e25062b0d9cb32cde123fe039f15acacdc177badd9143714f6178

Observation b30cd778-7a1d-48f8-9f35-839133ca8daa · outbound

This paper cites K., Koutník, J., Steunebrink, B.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System K., Koutník, J., Steunebrink, B

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T12:35:34.602114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.594337Z digest=sha256:9eb02ce6eff144f6a3d96af53f1f61a09ca6d01d5179a6608f6ee54e5c9f2c7a

Observation a617957a-3e18-4472-b9ca-01b7cb84fd58 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-07T12:35:34.498880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.663518Z digest=sha256:9df3ec5c75c7c170bd80a1b2eb7834fdc73ce4634bfdfd3c37ef3fe383e06863

Observation 12ef72a5-da83-4d8b-84c0-3ab96ba972aa · outbound

This paper cites and Czaja, A.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System and Czaja, A

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:34.318443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.716024Z digest=sha256:91be9f9a26be139c8bcb87c8f35413b210190187b40af603dac414e528bd72ff

Observation acf6554c-ef47-4bdc-8afb-428e262c7cad · outbound

This paper cites and Schmidhuber, J.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System and Schmidhuber, J

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:34.086907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.779835Z digest=sha256:97e62753f71d1196a11d1ba0d252169d1cd2d587902cbb768d1fa36bb6b19d35

Observation 127cf025-8bfb-490e-9a76-a6d375ae0ed1 · outbound

This paper cites Regional Ocean Forecasting with Hierarchical Graph Neural Networks.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Regional Ocean Forecasting with Hierarchical Graph Neural Networks

Reference 39

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unresolved
no resolver link, observed 2026-08-07T12:35:22.788099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:22.788099Z digest=sha256:a1b9b0f8828a6b11ce88d5ba5dc0ecb8e41e52e71c97e1091421e655f32d10c3

Observation b7692ca3-7b12-4178-8fc2-b2971f3c32ef · outbound

This paper cites and Hamman, J.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System and Hamman, J

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:33.936685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.845098Z digest=sha256:0ce07df546df3e4a14b867416f51080720313152f7f397692b46f902fc23d48d

Observation d9eceab3-873a-42fc-a8f5-167b773dd0f1 · outbound

This paper cites G., Charly, R., Tony, C., Charles-Emmanuel, T., Florent, G., Giovanni, R., Mounir, B., Yann, D., and Pierre-Yves, L.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System G., Charly, R., Tony, C., Charles-Emmanuel, T., Florent, G., Giovanni, R., Mounir, B., Yann, D., and Pierre-Yves, L

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-07T12:35:33.784557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.910361Z digest=sha256:8f292e739c9cb05fd2cdcea880355ce4a6ac100e07e50bc8924ce12258d1b326

Observation f5593bf4-6d9b-418f-997d-6cb45f79dbb2 · outbound

This paper cites Forecasting Global Weather with Graph Neural Networks.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Forecasting Global Weather with Graph Neural Networks

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:22.994007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:22.994007Z digest=sha256:e1bae1bf2ad537396f805798fd0fdaa96fc8faa73e63c5dbe88d5c4da81e8fc9

Observation ae7d0d83-0636-4ba4-8ac0-9a76c646077a · outbound

This paper cites o wer, M., Lottes, J., Rasp, S., D \.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System o wer, M., Lottes, J., Rasp, S., D \

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:33.597605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:23.109682Z digest=sha256:aadc93c567ef5493e9f42354621c3ccdb36252f6a01aa3c6d3fb8f2fa06a4be0

Observation da3efa26-dcb3-4fca-98c1-83ca560e6cff · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:33.451742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:23.260496Z digest=sha256:8ba8433fdd58a35801e0c9b083693a3c63253e060782d2d28e5be4510ff0ea98

Observation 04b19eb3-1d91-4cf4-a770-7a665e45385d · outbound

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

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System AIFS -- ECMWF's data-driven forecasting system

Reference 45

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unresolved
no resolver link, observed 2026-08-07T12:35:23.396559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:23.396559Z digest=sha256:ad6abaedf661c8fd25e5de835bc3356bde600f39107523c7796c78e3c54b35b5

Observation 95ecc7dd-a09d-4c95-800e-ce437230b7df · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:33.330945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:23.552873Z digest=sha256:60a966b304bdd468997869b6cd10b30c122834a9826dd0d4aa040d0cb5f9cb61

Observation 82fcf4d4-0061-4810-85cc-f2e8a41b91cd · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:33.139615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:23.728668Z digest=sha256:017226e7986b10ea88fb5f7ec4e4ca37841b6314f352830a1fb2bf3d53f9babd

Observation c40b65cd-af5e-4413-a82f-02f26d6d0156 · outbound

This paper cites PyTorch Distributed: Experiences on Accelerating Data Parallel Training.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System PyTorch Distributed: Experiences on Accelerating Data Parallel Training

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:23.912647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:23.912647Z digest=sha256:22a4cf2afcc8f236c88e7aa6f487b1993eafbad4b406ea37cde533d08e8eb843

Observation d5db828e-6ed9-469f-8982-9bc3c23833e7 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:33.004184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.099530Z digest=sha256:72c6c011da891b070333b2a3474e55f0b4cc1e25523da6cdc761a50d1d96d8c3

Observation ea12c49f-7f1f-41fb-a573-9e415a255470 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:32.851283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.222396Z digest=sha256:b1677a96bf44a87f3cc53f102eb0981c9f566eccddf35a2e72679c86884cfc72

Observation 69d20e9e-6e93-47d8-acc1-955b661044c6 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:32.682491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.380229Z digest=sha256:29717aace3ca03a1f262c997b72d523b769e8df66d3ac00ab51e2f653d4355c8

Observation e040b3e2-6487-44aa-a8c8-c545fe8c477f · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:32.473461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.536312Z digest=sha256:02367d499a7febadef34b8e84199bdef9561670087c26aa68625970edb152a00

Observation 5bbcab70-8668-4427-bd83-4e174f79a6f0 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:32.292068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.670573Z digest=sha256:b7627bb27a47d2291eb2f905624048bd6d71fb0b8fe43b4bf58aa3669aecd03a

Observation 7350d44a-e8fa-419a-8b55-45b40dcda931 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:32.080623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.796941Z digest=sha256:772c87036edda5b7e8bba0a88cba1efd56c2554f0601e2a9dde5baf7db86da38

Observation 99fa6bba-51b3-484b-91c5-ba8ee1a3ddcf · outbound

This paper cites Graph-based Neural Weather Prediction for Limited Area Modeling.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Graph-based Neural Weather Prediction for Limited Area Modeling

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:24.964260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:24.964260Z digest=sha256:193f12a4bea176e761cb16100f1f83e3fd0b729f414b4971f600bd2844f7af60

Observation 0f0a1d74-55c7-4fed-a664-4c1a7894d953 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:31.792852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.127337Z digest=sha256:eb7e1f7e05f2cacb312463143454112137705938b070816e3156bf054fbc0d57

Observation 1a2ee893-78d5-4015-b3f4-3204b93fc321 · outbound

This paper cites Learning Mesh-Based Simulation with Graph Networks.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Learning Mesh-Based Simulation with Graph Networks

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:25.285521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:25.285521Z digest=sha256:ece929af534e8ba5d86c7e638edd544a7aabca502f37785cd0e2d0ca42cbb7bb

Observation f68944c5-1763-4250-8d2f-969ecf76e757 · outbound

This paper cites and Autret, E.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System and Autret, E

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:31.631439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.410069Z digest=sha256:eb3b5fb68c91598208ed1a0221fe4ff69282088e27e982fe2cd24317385b2245

Observation 66204d39-dff4-42be-a152-facd0d991e9f · outbound

This paper cites R., El-Kadi, A., Masters, D., Ewalds, T., Stott, J., Mohamed, S., Battaglia, P.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System R., El-Kadi, A., Masters, D., Ewalds, T., Stott, J., Mohamed, S., Battaglia, P

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:31.495448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.532655Z digest=sha256:71ea781988e2a979b982c52c4c4806634e3236be10e5af738b1f2b47c5dbf4b4

Observation c86048ac-50fa-4b2b-a552-7156426fe166 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:31.346004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.691419Z digest=sha256:6aab223c80ea3e59a1c5ad61719f03645dcac76feac8a0ddd0b6db7feb0e7ec4

Observation d3791a08-7710-4405-b3dd-4a23d7a086f4 · outbound

This paper cites D., Scher, S., Weyn, J.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System D., Scher, S., Weyn, J

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:31.175280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.836991Z digest=sha256:8381059a2c28be7b3a0b165e0391e61cf38bff3dddfb3907971b22ddf400e897

Observation 68e09e40-3842-465c-86e2-aa94aa1c28b5 · outbound

This paper cites WeatherBench 2: A benchmark for the next generation of data-driven global weather models.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:25.944667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:25.944667Z digest=sha256:b973f08fa7769bcafa356504311e86b3fbca5902ced148743c313b21ba2c8b04

Observation b11c0463-39b6-46ed-981c-50079d65882d · outbound

This paper cites H., Guinehut, S., and Larnicol, G.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System H., Guinehut, S., and Larnicol, G

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:31.014645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.046694Z digest=sha256:da480c13f0f538f30f7aa2ed0dcf654603dfe9d632ce2cf0df7255d41c0530cc

Observation 83e777f5-c1c4-4c37-9ca7-ca4f5ae42652 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:30.826467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.123257Z digest=sha256:ad79978e57b896044e195cbe81d25a207cefd5ca1970c3df7fe2a009ee952de3

Observation 2cf2bb2a-192f-46df-b127-83fd230566ae · outbound

This paper cites C., Pelegrí, J.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System C., Pelegrí, J

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:30.617077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.207904Z digest=sha256:8ba5547341960fdd70b0d8e1c61d8decd1f18472616430a4c6f67abd4e0b5997

Observation 0e18c0d0-d362-4f50-8586-e1185c75d2b8 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:30.420092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.309543Z digest=sha256:5dcfe58200923355f4b94078260689d3190cfd1294a986226d146e46091bea72

Observation f9def90d-3926-4458-a16c-0c1b96c596a7 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:30.261130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.414067Z digest=sha256:7b813307b633bcb561a5e008bd657c9b8d8e72c07be5e37db48ee7dc845aa42e

Observation 73314edf-1311-4b1f-9b94-e35fa23d68c6 · outbound

This paper cites Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:26.515521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:26.515521Z digest=sha256:147fb87c8bb4a4af2d97c6442f93536d8b603a144c351124359e5d5e41652503

Observation 7713cb39-32e3-43bf-930e-fa7721eccfe9 · outbound

This paper cites L., Chassignet, E.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System L., Chassignet, E

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:30.054745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.585084Z digest=sha256:008693cf5d6e316d1db6cc787553cc49183ef0cbc6a5b0f39413ae81272c8175

Observation 59bf276e-eee9-4e4e-9af6-5d5ee1006493 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 70

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This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 71

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 992a0c76-be4d-4366-bf7a-caaf83a7b2ac · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 72

Resolution
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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This paper cites weather of the ocean.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System weather of the ocean

Reference 73

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This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 74

Resolution
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Observation 5ed2cc04-944a-4459-b2f7-a05285e26be2 · outbound

This paper cites XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System XiHe: A Data-Driven Model for Global Ocean Eddy-Resolving Forecasting

Reference 75

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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 258045c9-24ce-4562-9866-25793be09c46 · outbound

This paper cites Visual Interaction Networks.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Visual Interaction Networks

Reference 76

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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 e2288afe-37b7-44c6-bf7c-f67e3e762f8d · outbound

This paper cites S., Bakun, A., and McLain, D.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System S., Bakun, A., and McLain, D

Reference 77

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 79419b70-cb36-4e5b-a14f-595eae65f873 · outbound

This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 78

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 79

Resolution
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This paper cites an unresolved cited work.

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System Unresolved cited work

Reference 80

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

No inbound Pith citation observations are available.