Pith. sign in

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.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

80 of 80 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:20.137946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:20.137946Z digest=sha256:394358d2092b8a274cac5932609ca9ee681b3c6d4fca94fecc6468e5f8b96f57

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:41.437480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:20.216923Z digest=sha256:5d82a1c24d60b178e4db3b0a946c9cc77a2f69240d48e873ba2cb74c837d6f3b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:41.200232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:20.287231Z digest=sha256:f16378aef07b0032b732b5f2d2842a275b8a5c829d5c603639f0551367f6b51f

Observation 78a5b9c0-e682-46a5-bf80-03ae40fa6b3a · 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 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:40.930133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:20.364176Z digest=sha256:60779553bc9dc4b3730aaf94a246152a8656325aecc09e38c1949f9cfc3b6fbb

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:40.556975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:20.463703Z digest=sha256:086769e96054782c4092489e60bf508f698ed701e40456be8220bac2f9c212c1

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:20.550315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:20.550315Z digest=sha256:6379c971f0538f074b6420d25adfc4e1ebe806b4e7df457c230741b68ab028b8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:40.251163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:20.647647Z digest=sha256:e7f4571cf7ec06d0b403ee5544e7a52b3a52e7e0c4249b9e80ed1d6fb6bb2e2e

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:39.947510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:20.749286Z digest=sha256:6ab0a13f4ba579d55147ef304bd8e63f2af9d318b0531f4903ef16a03c21d74e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:39.783078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:20.824576Z digest=sha256:fc4c29bbe72921c374a6feb3b5258d452b53f3d0e606c725806ad91b38edfd23

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:39.602076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:20.918402Z digest=sha256:720eac50cd9db0ce10a89f9d531af55f857e8e38747b0d1a56f2a2f2a5ba0af6

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:39.416721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.019401Z digest=sha256:200a83412a7be7d2ac08b1c5449fb1887a0c464c9faae66099ca241ee1254348

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:39.241795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.099574Z digest=sha256:408735de7f5607c34bcd0ae5451b1c3c4f093458fdf625f9c5772fd5d6e39ccf

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:39.086897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.193431Z digest=sha256:86fa0133549bcb8aeba8c166c97b95fffd33d176aa8ecb1c8a4da1653aa2553d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:38.940981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.275747Z digest=sha256:d823ef9dc6f24b25061a0a7d976f67439947e25ec8b935ac64c9b36572a7482e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:38.750467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.362628Z digest=sha256:3da5abf47edb141b7aa07fb095242f587e3f20bd2a06a0bc0291f1e7f79aa746

Observation bd386b61-3097-4ce2-a9bc-03c2c65a0520 · 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 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:38.567707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.437677Z digest=sha256:59849f6499350f53179e08e4e4b38667a17f56c4d0d4c056d47592e38b36fe8f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:38.362817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.497662Z digest=sha256:8bce50375dcd2aa406ae8c4eb538f0cfaf6f58884331c45682a48bcbaf7327e7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:38.172306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.556101Z digest=sha256:4f715449626960517b0722e3241fa39901edc762131f1d0a883347169ad0010d

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:37.975051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.614845Z digest=sha256:9d352103ab440e9a66ccafcd506eb84d9c06ac6c496e4d3c8903ad01415933b9

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:21.667209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:21.667209Z digest=sha256:4cc86e8a20ae5d446407846073e751583100b1f40ebac88549b03c484b10befc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:37.755583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.721595Z digest=sha256:bebd2b74a01e8340015094aeb874b6381c51d46a83fff3f382c6cf5f1512b1e5

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:21.787544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:21.787544Z digest=sha256:e233c63e60b96472a4fa93d6916576450be086840da1e89293128b846cf8c6cc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:37.597248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.845393Z digest=sha256:bb55431966695bc442fc10972fb34edfa40d53f543ac214b3376a863f05bf59f

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:37.410911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.923772Z digest=sha256:6cb55d8b64f2bb50eab690047d30d7e481ef43a2afb3ce087a719a490859cde4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:37.236131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:21.982450Z digest=sha256:96eff629d9afd51b4bf64426b5ad90aa64b1c7132477b7ebbca7aa4d60dfe534

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:37.055091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.041238Z digest=sha256:41938ad4483658cd22f7fba8d05e84010c9b15e8598149d26945c9b83ad76e17

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:35:36.862135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.113870Z digest=sha256:10dc0b41d9e930429696e2aca90b30ac96d1d8314093ed67118f89cd4acf29c6

Observation 81a36130-90e2-461a-8586-b2f4f81a1741 · outbound

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
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:36.635807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.171629Z digest=sha256:90110ab83ecdc2bab232d8ba20bb2d48f492ae64b26d345360e322ffe6da393a

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
unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.209183Z digest=sha256:812bd20300d2c5e20cb3d3e5d48f038a429285061abf8a5d1f1cd546557e86e5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:36.204318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.266551Z digest=sha256:f1c50e7e86b84456513bc320169ac6ed789963ec6392c62d98e8b6b613f4351d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:35.831289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.326674Z digest=sha256:7542f056b0b399b695ecc9300fa0c28c33f27458ffc44a2f77bb30cda1c66735

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

Resolution
unresolved
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.396699Z digest=sha256:5f1ec795698fa3aa983b6880244c520c9574a5322fd4b491363267d08c45fd92

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:35:35.082634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.469162Z digest=sha256:a692ce25074a5533e9632c0d70487a2fc10174c8a44018a5f160b65797332b43

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.523804Z digest=sha256:7477cb6e38b49ae958c18568180353686b053769f045cd72d70ece7dec842832

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.594337Z digest=sha256:1de8d3bb2d7bd4c5959cf60595fcdf8b06570ad1988d663a13f885e9b3493be7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.663518Z digest=sha256:69feb9a4d356e9f94748ef0ba7579e0a5e197b700c6a963d780f3dcdfcb7fb1a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.716024Z digest=sha256:f694dedd28ff83fc69f5ef3e495c4c07f65c2373d6ee75da3fffbb8ff99603e9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.779835Z digest=sha256:0dadfc8aed838bb229a6bf3110a793a9ca3c40c46bc53d24e57730e3b95e0f04

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: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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.845098Z digest=sha256:a145d399e7b68b43331011923f57b3a062b36883ef9278cb305c8ea48c1f53cc

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:22.910361Z digest=sha256:0efd170a615e132dd5faf60568be9d219b1dda66db294f5c8103f07a57c20e53

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:23.109682Z digest=sha256:d6b81d3f975a662533f56c6398df2dc9725dea7ac5e55aa5d5676afdadc0cb17

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:23.260496Z digest=sha256:2f77a90b4df1110f8b9077071b86010448dd2dd0f9713e8ba10d5b60a9b37015

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: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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:23.552873Z digest=sha256:198273b390721621d3f8fac57017e1364cb41f5dd59d69457367f7f70cc45b63

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:23.728668Z digest=sha256:98230f5fa196a7afd868929c04e5456c89bf55740b6c9e50d32d70b8674f148e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.099530Z digest=sha256:92207f4fff765d2864caac0e47149d8b3a2516b52101bd34f87026ecf2599955

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.222396Z digest=sha256:1c3e6c13cc84ce7debb6fee415194996e7ef2f94625fe75f008b5f34409055fb

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.380229Z digest=sha256:8586c5a321eebcea15b8101bd7421d3543a8be382872be99aaa7bad1949f9118

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.536312Z digest=sha256:b6ea240c1411f2c08dea58e1ad0bf00a17b01764f1adf24839651eaf95797347

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.670573Z digest=sha256:d35e8ea619edbf3e385e86178362100fdb12c6e52a334d0ed07d12689d30018a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:24.796941Z digest=sha256:cb2407d69a19afda8988235665bc26b24ede9c75afff9d3223570a08e34b85f7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.127337Z digest=sha256:24b4db19660d68605484c2c76f11d16adfde54f9649d3f1123d6b3b28bbc2bd7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.410069Z digest=sha256:1f4d30ed4905e6216105d0b6890bf659c6f2e7cfc906c488525fc2978b0b1d4a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.532655Z digest=sha256:17af5468568f21b207b310812026a10747a556c263567b064c538b1cd4cbd65e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.691419Z digest=sha256:0a17e712a147433dbbcfc813cd856499f9a2cc90fd2bab2f04f42ad339a71093

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:25.836991Z digest=sha256:40eb5ba46d61736f23ac9543573de19b6c23986c289b25931d89971208e963f6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.046694Z digest=sha256:40a57eec86bfb5ecce3578a7ff922e8bfbf9d597bf461f9c92113bb21eb04a46

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.123257Z digest=sha256:53cb1dfb31a15b5dc26fa8fcde55b8c56e66dff4a5676f617abe8d8a90a0b216

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.207904Z digest=sha256:49b6ff02a97cd66390608f37fc477f72fc7a4aa078d22a06f8f0da88856334e8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.309543Z digest=sha256:84fd551aa5918e97873dceab733c87c6c7f6d98d96a637a1878027fb6f5ae887

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.414067Z digest=sha256:16ab0fa40454f4a011849ebfb94c97521d804d6d9fb4f104c2d2759d478f2e95

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.585084Z digest=sha256:6cf584dc2e794d7083b3ad694151542c294fcb78c1233adc06a8adced322de06

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.693260Z digest=sha256:eb164988fe1bdddf8eb1ed1662befe69cc1c99c3a4701d39952dd267469d7bf7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.812226Z digest=sha256:de2438ee1a32fd0cbea1eef448d16d9109b70f09971dddfaa30c7118696adc8a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.911062Z digest=sha256:f5e7e3abd5f4c45e473987e427c000da6ac3e632d7211d01039e92aa235798e4

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
raw_fallback, observed 2026-08-07T12:35:29.180229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:26.977344Z digest=sha256:32a185d5a66e2f1e7fb417dff2e92c03e7624abb50aa2d3435ac6eb41e2e1cd2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:27.076028Z digest=sha256:4e825c17bc7e2f654120a46e6ac572df933afc029aee0d5e007f83e6173be247

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=sha256:897a401ffaf01ceba9c45ca3b44cc5e00ba75908a3eef1bfa3be513e164704b7

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=sha256:60e0ca659404592feea3325b17b0494f31500b6eb4f607b65076595f9f1fa6f0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:27.400530Z digest=sha256:60328bbc7284435442c47afd1c7d5ea5efa49369e53e2ad0ef85aed799739aa4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:27.501400Z digest=sha256:3dab08dc57c8268e59b3936c1ab259f464c3aa269c1dcd1703614f74c9f1210b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:27.656688Z digest=sha256:1d7b62d3579b09f3cbdb2d6cd5e5075f319c1ea2cbb7045cddc357b889c3d739

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T12:35:27.763373Z digest=sha256:0e42f465bbf93f92320eb893a5db6481fff9f6b3d2bf9b03630091f32cb29117

Pith citing papers

No inbound Pith citation observations are available.