{"as_of":"2026-08-19T13:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:78a87a43d5ddd9e34690bccd8c766224a2feef7dc6a1fdc13b215d39da20421b","coverage":[{"denominator":78,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":78,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:30:18.709793Z","state":"measured"},{"denominator":78,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":78,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2504.15487/citation-record","integrity":"/paper/2504.15487/integrity","json":"/paper/2504.15487/citation-record.json","paper":"/paper/2504.15487"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"record/6563667","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.824112Z","title":"Abernathey, Rochanotes , A","venue":null,"work_id":"3b27e6af-7cf9-424b-953e-9cd5a10e412b","year":2022},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.418636Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:cc1d976c846fa80080fdb0f938c53a93b02d6918a8a57c39c1fc2cee6afe626a","observation_id":"ceb43cdd-4044-4138-b8f7-2e358f79d08d","resolution":{"observed_at":"2026-08-16T11:30:19.830195Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.422823Z","title":"Arakawa and V","venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.422823Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:011a16c7a73942ad037e4d6e8bb507192403c2a3a53249422be2f71af05f9f7b","observation_id":"dcbf2be6-3803-48db-bd39-3cb72f782ebd","resolution":{"observed_at":"2026-08-16T11:30:18.422823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s42254-024-00776-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.034500Z","title":"Bracco, J","venue":null,"work_id":"9109d2a3-ebcc-4f13-a0af-df4f1e9ac4d1","year":2024},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.426533Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:3af1badcfbfd57210ea3de2bfbefa0ffe82123f202a1bd0f1a6f73d685078a98","observation_id":"1fdd7377-c5d1-41b6-9a48-806e3255f49f","resolution":{"observed_at":"2026-08-16T11:30:19.038047Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:20.057736Z","title":"Bracco, J","venue":null,"work_id":"54285c69-ae3c-4c17-9ff4-ff8d4feed44d","year":2025},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.430213Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:7d85874c0d12c3394b3235dc08aacf311752402e640adb55bb87dbc674da0225","observation_id":"3c3ef6f6-a0d4-4c73-b6fe-3356f3bf19bc","resolution":{"observed_at":"2026-08-16T11:30:20.061725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/1.868585","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.023588Z","title":"Carati, S","venue":null,"work_id":"2d4a4ebe-7134-4c8d-9c88-6d23f2fa1419","year":1995},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.433677Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:7e27c1835d0f9235453e9835ba2d892d45efd43b377ef8b97a689493bc71edb8","observation_id":"036ab265-72cc-4cd6-a0bf-1bac93cd4d14","resolution":{"observed_at":"2026-08-16T11:30:19.027278Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07029","last_updated":"2024-12-07T10:52:38Z","snapshot_observed_at":"2026-08-19T03:16:09.888918Z","submitted_at":"2023-04-14T09:49:11Z","title":"Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07029","snapshot_observed_at":"2026-08-16T11:30:18.437205Z","title":"Chattopadhyay and P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.437205Z"},"links":{"cited_paper":"/paper/2304.07029","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:e8a3cd30f8739d1a49bf1f6de0cf1cd82a0d4a555e94b511246cc50bf3fc1b4c","observation_id":"48ca80c9-7852-4a8a-9d63-c58a3e0add0e","resolution":{"observed_at":"2026-08-16T11:30:18.437205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:20.046123Z","title":"Chattopadhyay, A","venue":null,"work_id":"0d2cb12f-9b4f-48e0-8b47-2e273a6b7a09","year":2020},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.441348Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:39827ca74462ac12b0a53da83abf89b08a7e33028d663cc65fdeb16a58502613","observation_id":"7474e196-6310-448c-ba6b-18bf20d57a6f","resolution":{"observed_at":"2026-08-16T11:30:20.050816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:20.033554Z","title":"Chattopadhyay, M","venue":null,"work_id":"d2b4a854-0e23-4c5d-8735-0102a8189fbf","year":2024},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.444831Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:ff7ca4fdcdcb01a3a65047ebb76ed7a33a004071701d53b3197e191d2aa3f5e7","observation_id":"5ec24be5-52ae-4e37-9f91-02c6e4c373f7","resolution":{"observed_at":"2026-08-16T11:30:20.037182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.448606Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.448606Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:c4cd27f5dc4de57664b387e4f99d4010a58441e7c6665d253a0ca288eb3b43ad","observation_id":"7dc3e209-58d4-40cd-84f3-aea55ad4520f","resolution":{"observed_at":"2026-08-16T11:30:18.448606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.11286","last_updated":"2022-07-05T15:59:38Z","snapshot_observed_at":"2026-08-16T17:47:33.170580Z","submitted_at":"2021-10-21T17:14:58Z","title":"One-Shot Transfer Learning of Physics-Informed Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.11286","snapshot_observed_at":"2026-08-16T11:30:18.452213Z","title":"Desai, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.452213Z"},"links":{"cited_paper":"/paper/2110.11286","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:6ede84deb0f9c1d39b289ea115980d27f2b4fb942c410719a473279c0b4a7ad0","observation_id":"294cffa7-0ee8-424a-8437-1a0a561ea104","resolution":{"observed_at":"2026-08-16T11:30:18.452213Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.456082Z","title":"Dipankar, B","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.456082Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:6b6aeaaef1060e384b90de274ef171b8d93a712de2a4771ec6261b5714bc8035","observation_id":"c442e96a-069b-4a62-b55c-3f44e840f53d","resolution":{"observed_at":"2026-08-16T11:30:18.456082Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physrevlett.58.547","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.998688Z","title":null,"venue":null,"work_id":"3cdc7270-b6fc-44d9-b340-739ac05f116e","year":1987},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.459739Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:3499e8a2ea0651413ae7a2a11b6b7ef3f2cb584e1ed45c4f9f7e5dc51a7c00ec","observation_id":"ddc35d3a-95be-4ffd-a2f7-fd9525f2ace0","resolution":{"observed_at":"2026-08-16T11:30:19.002651Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:20.023086Z","title":null,"venue":null,"work_id":"ca31de57-78b4-4cad-8be9-392ecc48408b","year":1973},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.463191Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:8bde01b9a10a9f34558332bc3f7664118007f137763c3feefb1f98cdf9b2e20f","observation_id":"5c85e726-7639-4459-9546-deb7ce5e6ba5","resolution":{"observed_at":"2026-08-16T11:30:20.026737Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.466490Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.466490Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:7da94fd2a9833a1295fe1977b4a8eb71e4e5c33e5937e917af3e3e9def2cf842","observation_id":"d9334f28-5e4b-4385-8f08-839fb775cf7d","resolution":{"observed_at":"2026-08-16T11:30:18.466490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.470186Z","title":"Fox-Kemper and D","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.470186Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:47123ecb56b03d86e783876d3402aebaf9fc3193c272b2f55ec54acd2cc9b775","observation_id":"da2e3d96-0d26-4d24-867d-7042320e26cf","resolution":{"observed_at":"2026-08-16T11:30:18.470186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:20.010554Z","title":"Gallet and R","venue":null,"work_id":"659d72bf-42d2-4ec4-b44f-5d1851211f65","year":2021},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.473601Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:3965953ffbe3ee71bc7e6df82a215c2c09a80bb38425e42b7f3a126ac328f663","observation_id":"c7ccb070-0919-4cca-8456-e0d8e783e65f","resolution":{"observed_at":"2026-08-16T11:30:20.014552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.477356Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.477356Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:ed150c1acfe14a8d45a588deef52e87998301abc2801a0e599ecd02b78acbd75","observation_id":"0df2a1f8-5a2b-42a8-82f0-9dabb83b57af","resolution":{"observed_at":"2026-08-16T11:30:18.477356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.480765Z","title":"Germano, U","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.480765Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:9829301516c6f8e0764e39241f31d957b90f9b0601562927f75ea7b8bb002c10","observation_id":"e8288482-7c35-4a00-81d6-d2b412197e91","resolution":{"observed_at":"2026-08-16T11:30:18.480765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.484268Z","title":"Goswami, C","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.484268Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:df63905f658cd53d99ba698cb5a5dd42be60f7edf1021f2e4de01f278bff2882","observation_id":"0de2a373-e05f-4276-8064-a497cc06a135","resolution":{"observed_at":"2026-08-16T11:30:18.484268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.488248Z","title":"Goswami, K","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.488248Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:a5ed88b3944e851e64d061759de5d13e8644c67f53614c913c616134775b655c","observation_id":"4884c1f6-5852-4e29-aa96-cd64891f3dd1","resolution":{"observed_at":"2026-08-16T11:30:18.488248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.998029Z","title":null,"venue":null,"work_id":"836cbde7-6982-4fcd-8d66-306942b8aacb","year":2024},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.491744Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:7f7e8e9f5121b513858401a12e1d6f4d4cc84b51576684302818182b4a03fe83","observation_id":"764fd4b1-4252-4fd5-ad7f-b510d8ce13a8","resolution":{"observed_at":"2026-08-16T11:30:20.002261Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.495367Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.495367Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:98de2256725a0d6f3ea285a774ec902bc8720b31621f5476fb8f9b6409d8ffcf","observation_id":"b1aa5067-f74c-4a4b-972b-74552ef539b9","resolution":{"observed_at":"2026-08-16T11:30:18.495367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.986278Z","title":null,"venue":null,"work_id":"d715bd13-cdff-4a51-bb75-02f30810a059","year":2023},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.499191Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:36d1376a3ec87e2fcf06b3a91aa306ef8b0d3e3fcf2bd8a8d5d8e3e3e4d820f9","observation_id":"ed4b9a4d-7ad4-4af6-b32d-13abbfbe92dc","resolution":{"observed_at":"2026-08-16T11:30:19.989880Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.973382Z","title":null,"venue":null,"work_id":"03fa4d93-537a-4632-a765-44c0124b5b61","year":null},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.502627Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:26cdf0ea8dda662a7b6f1e44dd67a9da9750ee8ffd68dbcbb2d641b7515d20ef","observation_id":"3556d37b-7610-4e74-b594-b55aa7318794","resolution":{"observed_at":"2026-08-16T11:30:19.977429Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.961460Z","title":null,"venue":null,"work_id":"e85e0ce6-6ec0-4331-9578-59744d828833","year":2023},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.507071Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:da8fa8f9864c0d7f12c56ea0b70d86ba926271730648eff095d3f3c94f72f934","observation_id":"1b4ca09d-5334-45c0-a8e2-bf81115a127b","resolution":{"observed_at":"2026-08-16T11:30:19.965458Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.04985","last_updated":"2025-05-09T19:08:32Z","snapshot_observed_at":"2026-08-18T03:11:19.506853Z","submitted_at":"2024-09-08T05:52:39Z","title":"Online learning of eddy-viscosity and backscattering closures for geophysical turbulence using ensemble Kalman inversion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.04985","snapshot_observed_at":"2026-08-16T11:30:18.510806Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.510806Z"},"links":{"cited_paper":"/paper/2409.04985","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:3fa10df645e1193c4393714432fed2c9aff00fc10f71582f3aa92e7694de2442","observation_id":"c9384253-324f-4deb-ac20-6e2a234b79c4","resolution":{"observed_at":"2026-08-16T11:30:18.510806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00366-022-01633-6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-18T11:03:46.223893Z","title":null,"venue":"Engineering With Computers","work_id":"2cc22b0c-1dac-49f4-b45a-b0c0194389a1","year":2022},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.515026Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:c30bf89c38e51f679310df04d486473609993e6bfe8f7aaece3164505d1d945a","observation_id":"94ca2a7a-4102-4ea8-8969-71e735c73423","resolution":{"observed_at":"2026-08-16T11:30:18.967025Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.518779Z","title":"Haghighat, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.518779Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:067aba14b5ed62723fdabcfc9ba025cd6a761b209677d37769bcf59b38d864cd","observation_id":"33286b87-b182-4b8b-bf84-9dc0d22b9b08","resolution":{"observed_at":"2026-08-16T11:30:18.518779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.949624Z","title":"Hallberg","venue":null,"work_id":"e4f0f24a-9200-48ed-94dc-26f63dfff87d","year":2013},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.522675Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:9dae0d3ab4fa973a76dd40cede8321bbb591f6d4544ebbcb0fa5acbabecb75fd","observation_id":"9d3ab97c-4a70-4447-bb4f-da1fedce7104","resolution":{"observed_at":"2026-08-16T11:30:19.953304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.526117Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.526117Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:f3990f8fbf340df978ccedf326dd0733000949823b58d1e0cbc3589378c0f947","observation_id":"0755b143-49b9-4d11-afcc-182560d689ce","resolution":{"observed_at":"2026-08-16T11:30:18.526117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.529701Z","title":"Hornik, M","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.529701Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:a350029b85073e664d2981923eb80bf32fda321798e1c8a6d2a4b64950e9ba6e","observation_id":"14f09af8-9e8c-40d9-84fc-9498126238c2","resolution":{"observed_at":"2026-08-16T11:30:18.529701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05014","last_updated":"2024-07-07T13:40:20Z","snapshot_observed_at":"2026-08-17T18:50:03.994516Z","submitted_at":"2023-06-08T08:07:54Z","title":"Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges","version":3},"cited_work":{"arxiv_id":"2306.05014","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.05014","snapshot_observed_at":"2026-08-16T11:30:19.433835Z","title":"Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges","venue":"physics.flu-dyn","work_id":"0f81ffb5-9e34-49ac-b806-2d416e2b60cf","year":2023},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.533453Z"},"links":{"cited_paper":"/paper/2306.05014","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:619bd15a7df2e3c9f3ce397d0e35848908343fde28ae7ea7b0afcb60bf2e14c5","observation_id":"a1c4a567-2002-48e9-be0b-2223fb93448b","resolution":{"observed_at":"2026-08-16T11:30:19.438293Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.537663Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.537663Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:5a6659411938afad6a9e127a9d2a2d083ef08cdef0d16c1f005efe29eddc5e77","observation_id":"6d253a90-b7c0-4465-8b89-e4e052e8acee","resolution":{"observed_at":"2026-08-16T11:30:18.537663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.541387Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.541387Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:d9b998d4e6ca7e1222eb8dca0b8034b0a311e6a33fc290bfcc352ff966414559","observation_id":"645d6fa9-a768-4812-99d5-e458ea36904d","resolution":{"observed_at":"2026-08-16T11:30:18.541387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/qj.2713","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-17T11:03:46.409680Z","title":null,"venue":"Quarterly Journal of the Royal Meteorological Society","work_id":"7c9ec652-2d5b-481f-96ec-d11a57a17081","year":2016},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.545086Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:360bda1991ae6769901f49f00233439681631273a7751f0c70402b543bf32171","observation_id":"c09dae17-47ea-41b1-854a-9667f8fb1e77","resolution":{"observed_at":"2026-08-16T11:30:18.935692Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/1.868827","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.920278Z","title":null,"venue":null,"work_id":"388e18e8-4ede-467c-a3f1-d7a8be7ecfb8","year":1996},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.548861Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:27ff986322cfde979d6cba42a744665677dd699b5899e2f54970cbfe526b50d7","observation_id":"07de3142-55a0-4b3d-88d8-07aeb9296be2","resolution":{"observed_at":"2026-08-16T11:30:18.923763Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.euromechflu.2016.06.012","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.910245Z","title":"Khani and M","venue":null,"work_id":"56bf3dd2-497d-4307-8cad-32762c6ba0e9","year":2016},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.552796Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:2c95a80a90a7991e056ee750d9a78137a56a2443d65d3e144a66809e0f7d2840","observation_id":"deb401b4-2510-4f3a-8107-7697c9aafa3a","resolution":{"observed_at":"2026-08-16T11:30:18.913787Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-16T11:30:18.557032Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.557032Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:f8c24bd3c3abd83b29ef9f9f286b97cc9162f469950f8a4e9798bd85914e03a0","observation_id":"f217a6b3-60e3-4785-8ab7-3f3dcf6caac6","resolution":{"observed_at":"2026-08-16T11:30:18.557032Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1063/1.1651484","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.899924Z","title":"Knaepen and P","venue":null,"work_id":"1d5a9180-275b-48c3-a91c-24294d63c06b","year":2004},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.561548Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:67a7beb82d652763f49c967e3127f5345a55d947637f994611e51293ad52592b","observation_id":"517a4a20-f4d0-4872-bfb0-b1b3b6957ae8","resolution":{"observed_at":"2026-08-16T11:30:18.903415Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.00688","last_updated":"2021-02-25T17:53:07Z","snapshot_observed_at":"2026-08-17T03:34:04.423249Z","submitted_at":"2020-03-02T06:29:50Z","title":"Out-of-Distribution Generalization via Risk Extrapolation (REx)","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.00688","snapshot_observed_at":"2026-08-16T11:30:18.565369Z","title":"Krueger, E","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.565369Z"},"links":{"cited_paper":"/paper/2003.00688","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:107960c7cedebbc2ed177b6dc77f41b963dcf0f85dde391bf8cef0ef72d96f3b","observation_id":"37799851-d86e-4f21-8edf-ca36af297ca2","resolution":{"observed_at":"2026-08-16T11:30:18.565369Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.10274","last_updated":"2019-03-25T12:44:35Z","snapshot_observed_at":"2026-08-14T16:57:17.377831Z","submitted_at":"2019-03-25T12:44:35Z","title":"A data-driven approach to precipitation parameterizations using convolutional encoder-decoder neural networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.10274","snapshot_observed_at":"2026-08-16T11:30:18.569970Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.569970Z"},"links":{"cited_paper":"/paper/1903.10274","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:39d1b44a2864615f44332b6553633cae4f2cf3a31c2c309fcbb0d9f9961427a7","observation_id":"c0e81716-b90b-441f-846c-28c54b52c5f4","resolution":{"observed_at":"2026-08-16T11:30:18.569970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1017/s0022112079000045","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.890171Z","title":null,"venue":null,"work_id":"fdfc84bc-0121-4b94-9848-3f9ae3120b54","year":1979},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.574587Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:a235dc35fc3fee89b2ddca37e1c104ec9dbc875e1ec5707c880a1f70ed4e9309","observation_id":"fb3c42c5-f8c9-4779-b65d-a05abc607100","resolution":{"observed_at":"2026-08-16T11:30:18.893459Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.03794","last_updated":"2023-07-29T07:58:37Z","snapshot_observed_at":"2026-08-18T13:35:47.568471Z","submitted_at":"2021-11-06T03:41:34Z","title":"Physics-Informed Neural Operator for Learning Partial Differential Equations","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.03794","snapshot_observed_at":"2026-08-16T11:30:18.578376Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.578376Z"},"links":{"cited_paper":"/paper/2111.03794","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:34863910ae2e0ad0bd6382c5194d1999e6edde5709b59eeeef0f0237d0fdf78a","observation_id":"bb4afd6c-4843-4c61-be48-df761f5dc7b8","resolution":{"observed_at":"2026-08-16T11:30:18.578376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.936065Z","title":null,"venue":null,"work_id":"fa9e2c03-7fb9-4bba-99c7-b302e90ce98c","year":1997},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.582491Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:cd856fb57ceb2aaa6989a96c37aa1e8a66759f148fe9de05148652efc3624349","observation_id":"b4ff4c0a-4200-4a9e-851d-4395a75d0cfa","resolution":{"observed_at":"2026-08-16T11:30:19.941333Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.05058","last_updated":"2025-01-09T08:28:31Z","snapshot_observed_at":"2026-08-14T13:48:20.609489Z","submitted_at":"2025-01-09T08:28:31Z","title":"Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.05058","snapshot_observed_at":"2026-08-16T11:30:18.586119Z","title":"Lupin-Jimenez, M","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.586119Z"},"links":{"cited_paper":"/paper/2501.05058","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:ff01f366f352c85fb0b8e2733de06dd15d9c2e19fe86800f90b46690615d913d","observation_id":"b093f615-08c6-4cdc-889b-0a3c1e19a0b5","resolution":{"observed_at":"2026-08-16T11:30:18.586119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1017/s0022112092002271","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.879140Z","title":null,"venue":null,"work_id":"af264a0e-d1dc-4c86-9224-9892787a94e1","year":1992},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.589837Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:fd81e59da2eb55cf99e4fadd1ccbc0837b4fbc87936f41c7352694e2d735ba02","observation_id":"adf78880-b596-4f30-a673-aaaee102457c","resolution":{"observed_at":"2026-08-16T11:30:18.883252Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.5851","last_updated":"2014-03-06T23:27:18Z","snapshot_observed_at":"2026-08-19T09:54:39.555114Z","submitted_at":"2013-12-20T08:42:21Z","title":"Fast Training of Convolutional Networks through FFTs","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.5851","snapshot_observed_at":"2026-08-16T11:30:18.593351Z","title":"Mathieu, M","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.593351Z"},"links":{"cited_paper":"/paper/1312.5851","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:0fac945831eb9cb07a71ee75ca6ba6d40c863f7fef5138951b72283e7f03ab31","observation_id":"039d4433-1c76-4cdf-86ea-31d9b53cc7bf","resolution":{"observed_at":"2026-08-16T11:30:18.593351Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.11417","last_updated":"2021-08-25T18:16:42Z","snapshot_observed_at":"2026-08-17T12:52:26.028515Z","submitted_at":"2021-08-25T18:16:42Z","title":"Unsupervised Reservoir Computing for Solving Ordinary Differential Equations","version":1},"cited_work":{"arxiv_id":"2108.11417","doi":null,"metadata_source":"pith","pith_arxiv_id":"2108.11417","snapshot_observed_at":"2026-08-16T11:30:19.354513Z","title":"Unsupervised Reservoir Computing for Solving Ordinary Differential Equations","venue":"cs.LG","work_id":"d62ee1cb-746e-46a6-871b-6f7a06117bee","year":2021},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.597227Z"},"links":{"cited_paper":"/paper/2108.11417","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:690e286078284a83e8d5145c17021e1933c9c478853b5e345aec6b4cc9fe922a","observation_id":"fea9ab51-0723-4732-be87-1442f6f2478a","resolution":{"observed_at":"2026-08-16T11:30:19.358749Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.601121Z","title":"Meneveau and J","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.601121Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:21b58700b1d06ccb4956e2a96e8f83f7d7573ac7d6d0146ef0462c765652367f","observation_id":"98a42add-a7b8-4f1c-b32c-8d920d4eaa62","resolution":{"observed_at":"2026-08-16T11:30:18.601121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.924110Z","title":null,"venue":null,"work_id":"07d104e8-c6a7-48b9-bd23-18952605a9a3","year":1971},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.604842Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:4933bc3a7eb9a74310b297d58fa03b805c7338c415aa00702daccca1e10b70cf","observation_id":"fff2264e-38be-44fb-a9a7-aceb3ee4fc56","resolution":{"observed_at":"2026-08-16T11:30:19.928097Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.608732Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.608732Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:194a029dbce5233595a2aefbce225867351d5224df0f4f61089b405a69a942b8","observation_id":"2399bd17-ec20-4601-b126-ea607acd80e1","resolution":{"observed_at":"2026-08-16T11:30:18.608732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.913577Z","title":null,"venue":null,"work_id":"9b6db5f1-057e-47bd-bc4b-77543f4a4ca9","year":2024},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.612950Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:8216ab929277e871d97bfdb0ddc2559a39c075416132989735fdcab87a4bcae9","observation_id":"d0335d48-fa5a-4842-bb1c-97eb827ec63d","resolution":{"observed_at":"2026-08-16T11:30:19.916903Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.617207Z","title":"Piomelli","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.617207Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:b4c08e10e711243e1f357545930941d40f4bf8b940a61a4bca6892920e9b01db","observation_id":"cf5a7002-a8ac-4153-974c-997eb23a00f9","resolution":{"observed_at":"2026-08-16T11:30:18.617207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.902276Z","title":null,"venue":null,"work_id":"46469f18-3d1e-43c8-a743-f8480b418be7","year":2000},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.621186Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:ba32925f40f19937d75d9f516b660d8fa16e9efaef402c03ca7c84a4f4356958","observation_id":"29f847dd-6c06-4c7e-afc6-f3a973d1d171","resolution":{"observed_at":"2026-08-16T11:30:19.906041Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.625051Z","title":"Porta Mana and L","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.625051Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:e879b055227159e28f8819ef1acdeb918fcfda30bd18f382ac4cd0a1791519aa","observation_id":"02217662-2e16-4078-9b2b-312098919a04","resolution":{"observed_at":"2026-08-16T11:30:18.625051Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/2016ms000778","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-17T11:03:46.409680Z","title":null,"venue":"Journal of Advances in Modeling Earth Systems","work_id":"dd511f88-eba8-45c0-8fb7-15ec755c7893","year":2017},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.628926Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:3fd1ec022be0bc61e114c0725858f5969128701baab3e3b94cfe460eba7e39ff","observation_id":"7fdb7eb1-6051-497c-b396-eeaa5f338557","resolution":{"observed_at":"2026-08-16T11:30:18.847412Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.632781Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.632781Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:7c0163a7026fa84e5f5a51a34cf61eb5ab919914dfb5b7e3f13e6a380d96e663","observation_id":"ae331793-8244-44d5-8520-7bbf58902072","resolution":{"observed_at":"2026-08-16T11:30:18.632781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.889906Z","title":null,"venue":null,"work_id":"d5b2ff7a-91c8-436b-a9c4-04011e7e2ef4","year":2023},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.636448Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:9ce535616a4a9c6c3ff8dd9344881c6b4b07fda0f1758785cb1506053cda6a1f","observation_id":"2cbf7bc6-fd02-4269-ae4f-3b949713d0d7","resolution":{"observed_at":"2026-08-16T11:30:19.894527Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.877958Z","title":null,"venue":null,"work_id":"0077643f-c2e2-4128-bbb2-ca99b2f9b70a","year":2005},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.639813Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:dea91a4e9731c7170e069a38ecb63a5943409f15a3520fc8bd6c5c9cf132bb10","observation_id":"9081e0ea-226b-4e2e-88e7-65cf094faf99","resolution":{"observed_at":"2026-08-16T11:30:19.881640Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.865509Z","title":"Sagaut, M","venue":null,"work_id":"e5500655-b250-4c2a-9621-a063a638a406","year":2013},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.643245Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:5b9ee810aa8c90063e72c7092bac24a2580de237ccb463a1420a436e29726a13","observation_id":"92100f77-e3e8-44a6-a927-70d98e531c41","resolution":{"observed_at":"2026-08-16T11:30:19.869457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.renene.2014.12.036","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.826807Z","title":"Sarlak, C","venue":null,"work_id":"94f9d32a-5e3d-4415-ac72-7f483f6abce2","year":2015},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.646537Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:0fe114a61cfa5040a117a77ff3510dbca5617111b59035b61519c5b39ebaf5f4","observation_id":"c6a5538a-37d9-448f-bf37-993d87bba1c7","resolution":{"observed_at":"2026-08-16T11:30:18.830409Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.650747Z","title":"Schneider, S","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.650747Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:5ea7946ad07d628b126120da4471069925b24201ebb42f613129d85518c5bcec","observation_id":"b148233b-658b-4d10-ac31-1056af536162","resolution":{"observed_at":"2026-08-16T11:30:18.650747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.654189Z","title":"Shevchenko and P","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.654189Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:a2678d7729e35268333402397f50c47c9a89e58062fb6365f96658137dab0f60","observation_id":"07304a1a-c287-4c2c-8e14-08f44e9bd29c","resolution":{"observed_at":"2026-08-16T11:30:18.654189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.657479Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.657479Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:53b0683ca2f5e1a050b49e9b04bc454ff180e798fcd64f43ad18bf7eebd99fce","observation_id":"b3850338-6bf9-40d1-acc5-89fecb97c280","resolution":{"observed_at":"2026-08-16T11:30:18.657479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.661091Z","title":"General circulation experiments with the primitive equations: I","venue":null,"work_id":null,"year":1963},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.661091Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:19efa64c526291a7de00a81790224d34995f3af8fed621be2f6feea70c7a4e34","observation_id":"4f9bbb02-c551-49e9-ac8a-59f088ab9af2","resolution":{"observed_at":"2026-08-16T11:30:18.661091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.664729Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.664729Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:2a1ca695a50013efb2ee7971f4e6b6be5525c87038ae332e357dfd00ffac0266","observation_id":"48a2b726-4fc6-476f-97d5-2e8bc5443454","resolution":{"observed_at":"2026-08-16T11:30:18.664729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.853009Z","title":"Subel, A","venue":null,"work_id":"cd086091-5d24-45bf-bfb7-44f86052f027","year":2021},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.668319Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:57ac704c50cc017491d8c616c405de49e64f5e1869355796a80720a96fbf6f36","observation_id":"c1cddaa2-f538-4d59-96df-cce14ea58cb2","resolution":{"observed_at":"2026-08-16T11:30:19.857020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:19.839696Z","title":"Subel, Y","venue":null,"work_id":"0bbc8110-8aa9-4835-bc77-0ef5d25caa55","year":2023},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.671761Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:637be1dabb51ff1a3e5b0d7d4048a0d64f3aaa8eb36a91aa217fbc46151d59bb","observation_id":"da15f1cd-1077-46b4-a49c-23b24f42db36","resolution":{"observed_at":"2026-08-16T11:30:19.844379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00258","last_updated":"2023-06-01T00:32:59Z","snapshot_observed_at":"2026-08-16T15:27:43.204283Z","submitted_at":"2023-06-01T00:32:59Z","title":"Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00258","snapshot_observed_at":"2026-08-16T11:30:18.675102Z","title":"Subramanian, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.675102Z"},"links":{"cited_paper":"/paper/2306.00258","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:802f68f5781a58baa13a0b7ec650492bfc7b6e50a62a85af2328fd0cf10c9f96","observation_id":"f03b7b1f-abc3-409c-9293-a18dcd65632b","resolution":{"observed_at":"2026-08-16T11:30:18.675102Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17078","last_updated":"2023-11-27T22:51:10Z","snapshot_observed_at":"2026-08-16T14:39:50.533890Z","submitted_at":"2023-11-27T22:51:10Z","title":"Data Imbalance, Uncertainty Quantification, and Generalization via Transfer Learning in Data-driven Parameterizations: Lessons from the Emulation of Gravity Wave Momentum Transport in WACCM","version":1},"cited_work":{"arxiv_id":"2311.17078","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.17078","snapshot_observed_at":"2026-08-16T11:30:19.274681Z","title":"Data Imbalance, Uncertainty Quantification, and Generalization via Transfer Learning in Data-driven Parameterizations: Lessons from the Emulation of Gravity Wave Momentum Transport in WACCM","venue":"physics.ao-ph","work_id":"d8047622-2796-437d-ba36-26a5ae6b3834","year":2023},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.679064Z"},"links":{"cited_paper":"/paper/2311.17078","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:5a0a2deb664246dd87f2077da3d38166d76436ef67d32fe554d94af14e755a95","observation_id":"8e4561b1-0ef7-4c00-ae5e-338f499dfa29","resolution":{"observed_at":"2026-08-16T11:30:19.280599Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/2016ms000804","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-17T11:03:46.409680Z","title":null,"venue":"Journal of Advances in Modeling Earth Systems","work_id":"4ab2a991-0276-4e79-83c3-ee2f52fd6e6f","year":2017},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.682664Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:beff5587442d44aac003a99f6765cfdf3be6113b761a8c5a80a8352cc1a92f8c","observation_id":"0170627d-315a-45fc-b73a-5795769602c1","resolution":{"observed_at":"2026-08-16T11:30:18.784163Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/qj.2166","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-17T11:03:46.409680Z","title":"Thuburn, J","venue":"Quarterly Journal of the Royal Meteorological Society","work_id":"516259de-ad6d-4c56-88ca-e5ededb031ac","year":2013},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.686087Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:d3ae601290000d34c0d4cc4b6a78253d51163725d99e55377c199b0e10cb588e","observation_id":"c6d4cc4e-2349-46e4-98d9-601d05956089","resolution":{"observed_at":"2026-08-16T11:30:18.772755Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.692113Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.692113Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:4a83080902c9bfcd000416a5e2ebdfc00c3adb5207d9d6210f271dccb66ac1cb","observation_id":"644d38ee-23fa-4683-8079-d1418197247b","resolution":{"observed_at":"2026-08-16T11:30:18.692113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.04663","last_updated":"2022-12-09T04:37:08Z","snapshot_observed_at":"2026-08-17T15:05:57.687339Z","submitted_at":"2022-12-09T04:37:08Z","title":"Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations","version":1},"cited_work":{"arxiv_id":"2212.04663","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.04663","snapshot_observed_at":"2026-08-16T11:30:19.203691Z","title":"Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations","venue":"cs.LG","work_id":"d740e3a7-2528-4a70-ae2f-364150c0f42d","year":2022},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.695684Z"},"links":{"cited_paper":"/paper/2212.04663","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:ba9398443013d4edb4bd16f7b3f7d64b50a23a06f96d4d353ed47cda9c823bae","observation_id":"1241c999-74ca-483b-ae64-f3a7b5103907","resolution":{"observed_at":"2026-08-16T11:30:19.209379Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1411.1792","last_updated":"2014-11-06T23:09:37Z","snapshot_observed_at":"2026-08-14T23:12:35.177313Z","submitted_at":"2014-11-06T23:09:37Z","title":"How transferable are features in deep neural networks?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1411.1792","snapshot_observed_at":"2026-08-16T11:30:18.699150Z","title":"Yosinski, J","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.699150Z"},"links":{"cited_paper":"/paper/1411.1792","citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:be1e0445b06f1c26d1e05670d985330a4def94cf519fd89e61e30839fd942758","observation_id":"512cdde8-6655-4408-8933-d12850e9c9b6","resolution":{"observed_at":"2026-08-16T11:30:18.699150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.702819Z","title":"Zanna and T","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.702819Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:4074f972012f661faa8a05553d8e04260a0135507b1ec4103ed58bd0ba34ed41","observation_id":"19d75e2b-94a3-48bc-8c1a-6123ad85cb4a","resolution":{"observed_at":"2026-08-16T11:30:18.702819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1103/physreva.43.7049","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.740130Z","title":null,"venue":null,"work_id":"fa1fd83f-da14-4d2f-9e4a-7526dca3b5e0","year":1991},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.706111Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:370fbc893900141534949f972e4c3c5ca61a67fd709925580d35d4c39ed1b3b8","observation_id":"7128dfee-248f-4835-bb9c-773ec753e2f0","resolution":{"observed_at":"2026-08-16T11:30:18.745084Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:30:18.709793Z","title":"Zhuang, Z","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:18.709793Z"},"links":{"citing_paper":"/paper/2504.15487"},"observation_digest":"sha256:8d55db77ef18f515aba717609e9657266b8319821534e81f740f798c2124b59c","observation_id":"c0c900cf-caed-417a-a65a-80298decc4b4","resolution":{"observed_at":"2026-08-16T11:30:18.709793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.15487","last_updated":"2025-04-21T23:42:19Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T07:51:08.562244Z","submitted_at":"2025-04-21T23:42:19Z","title":"Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence"},"reference_resolution":{"displayed":78,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":50,"verified_exact":20,"verified_fuzzy":8},"total_outbound_references":78},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2504.15487."}