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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 18 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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Source-reported events for the cited work

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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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Observation 4d267286-c209-44fd-aca0-d6c3e5a80b51 · 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 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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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 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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Source-reported events for the cited work

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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

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 24

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Source-reported events for the cited work

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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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Observation 377a4d63-aa94-488d-bffa-3f33002779b8 · outbound

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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Source-reported events for the cited work

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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 2026-08-18T06:34:40.430872+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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raw_fallback, observed 2026-08-07T12:35:35.408994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.523804Z digest=sha256:0f038f87309595b4ec10459114527762dec6b072ac2910b3d0c688c19a3307e7

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.594337Z digest=sha256:905fec663c5b6a30de7444105a60b94b82ba88e7d103927f1f175712f1d0b5d1

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.663518Z digest=sha256:be631d55aeb93a8c4451cfd98e926356c3c697dbd247e87720c5a154c3b74b00

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.716024Z digest=sha256:5f7f16a2eb355836c354c6efda0152c593b4b1a3ffff7cef2f5e785df9fea8dd

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.779835Z digest=sha256:283e41e7519fc1f5fbe773dd68c10cc0b84fc28bbd17d9fd8d2942fe138159bc

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

Resolution
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=sha256:580ad1f231a993f670cb05b65000c59a34a76b4da8208b213168db174f798af8

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.845098Z digest=sha256:7ff593cd0d9b573f483bcb6fb0893a5bc5066c00a860f1961aa434a281c63e41

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.910361Z digest=sha256:06591fb749cdabf77d767c0fd58efbe2e979ad407fbf93255315095dd5e26aaa

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=sha256:477a4383bc85c9aca646cf36c357e3f166200d5f4445dd21370d4ce24c5ecfa6

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:23.109682Z digest=sha256:20c07b2731b3bfcca8c9b1a5f40b5a37fd250c4a62904232bc6e83eac56d8aac

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:23.260496Z digest=sha256:8361199f29e3bc68e572b95b5cecf5f5f6693410354f95da3a82b0043d6f67c8

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

Resolution
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=sha256:3d4d1f03207036069f3cb3bce7b9ccccb925c737cb79b55ee8b94b88f8096d6e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:23.552873Z digest=sha256:fec0bf6730b0af2aba9c43595c244ee38c5f8ebe09ee4bef451c8740ddd7b68f

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:23.728668Z digest=sha256:1f6aee958183fc36f22ef7288aef1999048309de824ec5cd725b78fcc1e7c76d

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:ee80af36e7ed2738a68aa063e39b748a87ee7becea05ec5414c3a645d9d40070

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.099530Z digest=sha256:2647a7c73e957750729af442f035d999a810c0e569eb8940bfa619b02701e245

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.222396Z digest=sha256:ff1139b8408f7941020f8d0ed9cc9675a7ee1295825938b96c1af7a21440638f

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.380229Z digest=sha256:eaf1bd5ea8016cee1c922106e6ccd5d37102050ff6f0776df94f3767d4e63bba

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.536312Z digest=sha256:c0dbc00e70c1e27002b16cc6d81584cee1bd5c46d6ee0cab63b274ba2c5890ca

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.670573Z digest=sha256:9aa76772c370f537c53886d74eda5e2935f753a1e8c5aef0d1904befadc513fa

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.796941Z digest=sha256:83c24ef1ca3a98001f8cae7c871f1864f61a72ec7500b4649cddb33757aa4d04

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=sha256:4119fefa5355f08b657c2ffdca3d240d9181a08cff45555b958e7af5faf1f3f7

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.127337Z digest=sha256:60426a51f4afb2ee3c5101964b8bd46dc037874fff3fe5dc67d6b6f458dbe823

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=sha256:74d3176207d4c5cf7f8b90ea15716d7e85e30963a8c0bfe025ba57b27ce4cb05

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.410069Z digest=sha256:d530ee79711acfceb8dc9b755283607237db980b700c9e18223ba06b052020cb

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.532655Z digest=sha256:208da4c8d207b53a5a857729d8ccc2583ae6a8319f0beb379e2eb05f113e9d62

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.691419Z digest=sha256:ea6aa72a577c2734d5e0016f3f1d58db5c779c76cb70ae185e6a3400970447c3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.836991Z digest=sha256:2b4454df4bfd008e644d2c40eb956c2d76e10759e286435e2cc5da252b5021c4

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=sha256:84bec703549bb9f244a8d50fdc1713656144f6a8ad8ee4af9e8a6206d996459d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.046694Z digest=sha256:4af52e046f0aeaaf7c6b1d4119e540d6765ee329fc584675445d14190aed3c82

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.123257Z digest=sha256:25a723c026b31c0dad8988f501a8a028020551136b4b8cf86ccad248a017f0c5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.207904Z digest=sha256:130112a7cd85377d12edff161b789ade253eca5508ab010f0dd80d8a2b063909

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.309543Z digest=sha256:25456e7c1bf643bfe278b9d3d109d1ee4b074d1981276926b613b1a51f72f24b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.414067Z digest=sha256:98708c4da07fbe65b3e0fc8324442f3b01f5673edde7a24661590ea2571a752e

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:b6e9f375a4a9687088c36b0889d198df6575503e82ceca215832fb4f5e2e758b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.585084Z digest=sha256:75c9c2e182d991787b1d4fd98856e7d348fdbe9976b84f0630eeb4f2e5bc5903

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:29.880309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f7cf638c-956b-4c01-91d2-f5b02d7f6040 · 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 71

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:29.663283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.812226Z digest=sha256:e9edd3bb60e5f1a58feca6bc726f1a2780e7b45f639320b44f743e5e44caab0b

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
unresolved
raw_fallback, observed 2026-08-07T12:35:29.422409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.911062Z digest=sha256:3f26ef248fd524927799a921dcd3bcaa40fb949833864d3e30fbf1df8e935426

Observation 7df57ad3-e0e3-4483-8a4e-36cdbac504ff · outbound

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 31d60f9c-1db4-487d-a102-45e2d4b35c9e · 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 74

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:28.980841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:27.076028Z digest=sha256:771b2bd661263ea36a7b3bcaabf9ff678b8ce8f637d014558e10c9591c89dbc8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:27.189830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:27.189830Z digest=sha256:c53a215a7d34919e48cadfadcff586cdb54b525b5fc9dd4c973448a7a72310c3

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:27.320816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:27.320816Z digest=sha256:8e48a118fbab39d251a69ef1f29dd1823a88d2407a1f69ad29b9ac9c98a5062d

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
raw_fallback, observed 2026-08-07T12:35:28.813779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:27.400530Z digest=sha256:b651b71812d79d82182ef3bf3730867647035d05aadb2275014e100d20468c10

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:28.599052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:27.501400Z digest=sha256:52adc6db167a8911320ead48e642daf95c646c8f681143c414ef720e82819dd3

Observation fd03f1f6-6fbe-4ff6-b498-abec052968f4 · 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 79

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:28.401782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:27.656688Z digest=sha256:18ecc5409533dda2233fb61a95e4f42d99dbd42f766d3d0570ef5f2797c92099

Observation 417e07b8-98a1-4eac-97be-8ff261107bed · 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 80

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:28.143952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:27.763373Z digest=sha256:3f8a27338f8f757f18c5a9103e1f74d2389b281828f3f4e9d04d47ce067122db

Pith citing papers

No inbound Pith citation observations are available.