{"as_of":"2026-08-09T06:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:992912725abba9a0a37df38b976dbde097806e1f3786500ec1d051471f9df398","coverage":[{"denominator":85,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":85,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:32:04.154725Z","state":"measured"},{"denominator":85,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":85,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2506.13963/citation-record","integrity":"/paper/2506.13963/integrity","json":"/paper/2506.13963/citation-record.json","paper":"/paper/2506.13963"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:31:58.162050Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.162050Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:344625f7141fe368536e94ba387712959d19bedb82b1a12665b214e894f39af3","observation_id":"00c0968e-3584-40dd-85cc-36e5dfe2821f","resolution":{"observed_at":"2026-08-07T00:31:58.162050Z","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":"2026-08-07T00:31:58.218413Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.218413Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:68090942da29c56ccdd616a128be06f1c6e70a62909afccaaf60bdb63aaabfd1","observation_id":"d784d5f8-954d-44e3-9a2b-c21a854b4790","resolution":{"observed_at":"2026-08-07T00:31:58.218413Z","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":"10.1016/j.envint.2012.06.003","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.607990Z","title":"R., and Tong, S","venue":null,"work_id":"626e0a1d-e006-4140-abcf-cf6bb5a13a60","year":2012},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.273974Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:f175847eb821ac672f159a0ecd59086a3848c1fa2d78c7542b1c94847d5dedba","observation_id":"82baecf4-d9ce-4221-b02c-50e7817fe630","resolution":{"observed_at":"2026-08-07T00:32:08.611134Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.wasec.2018.09.002","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.597348Z","title":"Socio-economic impacts of flooding: A review of the empirical literature","venue":null,"work_id":"026ace45-7925-45f9-b562-7ca25caae1da","year":2018},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.324675Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:3ca1f4f3bc87e1531e8fb7fd246ff1b16444261f6b449ee34b602e7c03b798ab","observation_id":"fe3bc989-29d9-413d-b7c6-62ff6989089c","resolution":{"observed_at":"2026-08-07T00:32:08.600828Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:31:58.387524Z","title":"R., Judi, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.387524Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:de207977d56956f79a7813bc82ca3e93859d51b901fda17b29ae0c58e58ff97c","observation_id":"e701fdd5-125c-4899-99ef-f70a9de6fbda","resolution":{"observed_at":"2026-08-07T00:31:58.387524Z","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":"2026-08-07T00:31:58.457600Z","title":"Accurate medium-range global weather forecasting with 3D neural networks","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.457600Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:e826d74e0c2d74ca306b21c73530863510bc0a2ba8747b64ae3524ef19de5542","observation_id":"5f004494-929d-4b6f-aadb-8d29a954733a","resolution":{"observed_at":"2026-08-07T00:31:58.457600Z","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":"10.1016/j.jfineco.2021.11.006","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.570521Z","title":"B., Gallagher, E","venue":null,"work_id":"d990403a-c17b-4fcd-9119-42ac4901e2e4","year":2022},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.540022Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:6b7a7de65d1a56dda3c613c10d1c6ef361e884b1cd305537dcd3ffa2d1858bd2","observation_id":"a2d047df-b3fd-471f-8796-0b620068672c","resolution":{"observed_at":"2026-08-07T00:32:08.574332Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:31:58.623560Z","title":"J., Sobie, S","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.623560Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:d7430ced481f43853c70f28119985c4e6ab3b9293aa6529fcf1c356d186706c4","observation_id":"57075e58-a39c-460f-9eb7-4cf99e77616a","resolution":{"observed_at":"2026-08-07T00:31:58.623560Z","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":"2026-08-07T00:31:58.678996Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.678996Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:c16af819f0859dd4a04f11dbeddc5428cf8c60219abdfc6295dff6a067e1dda7","observation_id":"393fc082-feb8-445d-b897-b785750a25e3","resolution":{"observed_at":"2026-08-07T00:31:58.678996Z","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":"books/9781482","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:09.033338Z","title":"E., Bright, E","venue":null,"work_id":"9cbf10a8-e314-4761-8fb7-5fb3862e0cd2","year":2000},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.738934Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:1285ab9b70477bbf1b72c1b7be5016412eed1f0ae701b50a68779a73274060b9","observation_id":"45b0be90-318e-448c-80ca-4c9c70dceab5","resolution":{"observed_at":"2026-08-07T00:32:09.054121Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/jas-d-10-05024.1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.551356Z","title":"and Rotunno, R","venue":null,"work_id":"2fb13cd9-fcb1-4833-8b69-828fe1501b98","year":2011},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.790685Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:eeda9175418b37e051493a5fe22f8d52c91de90e62db9d94a88e9bc8c85f1229","observation_id":"06857311-21e1-467c-a4fa-320a071ccfe9","resolution":{"observed_at":"2026-08-07T00:32:08.555058Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:31:58.852419Z","title":"Land Cover CCI Product User Guide Version 2","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.852419Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:caea916bead1d609dab6522fb60a9f6924d6b135f8e59f558a14a6e7e7b3a68e","observation_id":"c820d9ed-6b19-4d4e-bbfd-3e888bd97c82","resolution":{"observed_at":"2026-08-07T00:31:58.852419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.04818","last_updated":"2024-03-07T13:19:38Z","snapshot_observed_at":"2026-07-06T17:41:14.805521Z","submitted_at":"2024-03-07T13:19:38Z","title":"Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy","version":1},"cited_work":{"arxiv_id":"2403.04818","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.04818","snapshot_observed_at":"2026-08-07T00:32:08.844802Z","title":"Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy","venue":"cs.LG","work_id":"c2d4a1cf-5ae2-4ed6-9b8c-2a4793334968","year":2024},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.907948Z"},"links":{"cited_paper":"/paper/2403.04818","citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:ef560c10dff74c8428c78e2f8f8856d9abff3ced948235cb9c282a3ee11dc6c0","observation_id":"38329588-e602-48f6-a2f8-63118dd420aa","resolution":{"observed_at":"2026-08-07T00:32:08.878743Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41558-021-01272-7","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.537481Z","title":"Tropical cyclone climatology change greatly exacerbates US extreme rainfall–surge hazard","venue":null,"work_id":"c23f448d-f221-4043-b03d-7d5c9104ce1e","year":2022},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.966948Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:dbf63d07bea4f039a7c0ab4e3c7dfb98e5681f4ede6d979699e0d9d38a89749d","observation_id":"de9f29bb-1a3e-4713-994a-c293913b7df0","resolution":{"observed_at":"2026-08-07T00:32:08.541990Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-07T06:34:20.709725+00:00","source":"paper_reference_links","state":"open"},"event_date":"2022-03-14","event_type":"correction","notice_doi":"10.1038/s41558-022-01341-5","provenance":{"observed_at":"2026-07-11T03:06:59.396422+00:00","source":"crossref","source_record_id":"10.1038/s41558-022-01341-5->10.1038/s41558-021-01272-7:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/ijerph16183256","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.524321Z","title":"Flood- and Weather - Damaged Homes and Mental Health : An Analysis Using England ’s Mental Health Survey","venue":null,"work_id":"63925a00-379c-4f01-9dd9-050eea7239cf","year":2019},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:58.984817Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:01f0c156919500b73d9349738d194a430143a4f34d5849dc4d9164387730935f","observation_id":"2ca5765f-1f89-4ddc-935a-c4d898321f5a","resolution":{"observed_at":"2026-08-07T00:32:08.528188Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11069-016-2193-4","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.512942Z","title":"R., Spaulding, M","venue":null,"work_id":"38b4750a-45a1-4573-a58f-bf9ee555e935","year":2016},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.053765Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:070c0add369bacce4875a3c86c1c2d5231323fb615f95568dfe21ed64bfc4f50","observation_id":"251b2bd2-3e9a-47e4-a789-230b7102e646","resolution":{"observed_at":"2026-08-07T00:32:08.516430Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s42854-020-00014-w","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.500408Z","title":"J., and McPhearson, T","venue":null,"work_id":"3c4726ff-5ed5-4a0e-be16-45a938b85ca8","year":2020},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.130656Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:80951bafc1343e12ed394ab99589a30c5ced9d6a6241e989052a0dc565647c4c","observation_id":"899e0b5e-f2d1-479e-9db4-6207ffe959e8","resolution":{"observed_at":"2026-08-07T00:32:08.503966Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:31:59.195996Z","title":"and Schmidhuber, J","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.195996Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:aa805e636dfc54c0814035d78e876d8ac4ee18ec9b3848a24f1decc6d61c4f91","observation_id":"314156d8-591f-4b78-8ddf-3caf8e7816d3","resolution":{"observed_at":"2026-08-07T00:31:59.195996Z","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":"10.1175/2008mwr2395.1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.488437Z","title":"A Revised Hurricane Pressure – Wind Model","venue":null,"work_id":"824f189d-d4ff-495a-99de-d5bb3dd679cb","year":2008},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.277049Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:446f2c7cb2ccf550985ec85866fa7f6d4fb117e61fc1f185c69d99dde2904e8e","observation_id":"bc9fd25e-2160-4a36-a91f-d7b11f2c6674","resolution":{"observed_at":"2026-08-07T00:32:08.491970Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/2008jpo3727.1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.477571Z","title":"L., Resio, D","venue":null,"work_id":"f0433dda-7007-4616-be4b-d152eb4b4d53","year":2003},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.362152Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:f22e659377cbb56cc79c350dba6a0cd887557719783c64ed5058166ec3bcf377","observation_id":"bd0c2d24-716c-4343-937d-b6dda42427a4","resolution":{"observed_at":"2026-08-07T00:32:08.481160Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:31:59.401075Z","title":"R., Lee, C.-Y., Mandli, K","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.401075Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:cf8029b14d1ff157397fd35b7cad4086453a4ce9f5ba604965b7c80789455e8d","observation_id":"b00218a2-7f3d-451b-85ad-cb269dffd221","resolution":{"observed_at":"2026-08-07T00:31:59.401075Z","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":"10.1175/bams-d-17-0184.1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.459187Z","title":"J., Bowen, S","venue":null,"work_id":"ddb31407-9dac-4f9c-a87b-e747dd53e6e3","year":2018},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.449872Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:a647e58c57008d910118bb78862687b8cd6525ea42a2fb48d1193c0067d0ff7b","observation_id":"14d5ec52-f532-46bd-9061-4f6b3dd5baf8","resolution":{"observed_at":"2026-08-07T00:32:08.462996Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:31:59.507700Z","title":"R., Kruk, M","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.507700Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:294f200c75412640348753d78d4cd176c905c6a59bad0c3a8396dea3716fa745","observation_id":"6ad774c6-78bc-4b14-9891-3785a8f881b4","resolution":{"observed_at":"2026-08-07T00:31:59.507700Z","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":"2026-08-07T00:31:59.537904Z","title":"R., Diamond, H","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.537904Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:190f1acf658d4969c4bcc1f25b598ad51ab1a68c8ce7d0d5ca47f03bd1ccfa17","observation_id":"4cd83851-8203-4484-9a76-01bfc280c882","resolution":{"observed_at":"2026-08-07T00:31:59.537904Z","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":"2026-08-07T00:31:59.597993Z","title":"J., Chan, J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.597993Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:3f2d444265961d944dff6214ae29813ea3ba3d6bf31650412dc90eeea595cc68","observation_id":"79985557-9060-467d-bada-55cd4e178484","resolution":{"observed_at":"2026-08-07T00:31:59.597993Z","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":"2026-08-07T00:31:59.670798Z","title":"P., and Hoyer, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.670798Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:a08c75b1363a59c909dab201b9424db33587c7668d5f18b7488ea1b20cfedca9","observation_id":"e2c1c921-a994-4dee-98ec-9c72e83b1614","resolution":{"observed_at":"2026-08-07T00:31:59.670798Z","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":"10.1002/2014ef000239","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T00:03:56.115653Z","title":"E., Horton, R","venue":"Earth s Future","work_id":"2c51f19f-1e58-4e2e-8516-0e6a22a28006","year":2014},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.734678Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:561b84365461045658badb68405a44d5a5dc48c5f389e2fffa5fd4e908496eca","observation_id":"b323ee5e-d787-4f26-a227-f683224e8f41","resolution":{"observed_at":"2026-08-07T00:32:08.428839Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:31:59.784642Z","title":"Learning skillful medium-range global weather forecasting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.784642Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:5565db5b009eaa88aab74da7035523532cc87a704b1053a8292d3ec94c4265a4","observation_id":"4fe5f237-e840-4a5f-a751-d0118dc95a32","resolution":{"observed_at":"2026-08-07T00:31:59.784642Z","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":"2026-08-07T00:31:59.851377Z","title":"L., Bensi, M","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.851377Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:9fa6c4c51b1b63f808740abea8f98eec765088c52ddd166f4ff0bbb650663455","observation_id":"c82982c8-09e8-498c-8c8c-4f20972d1551","resolution":{"observed_at":"2026-08-07T00:31:59.851377Z","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":"10.1016/j.oceaneng.2005.04.012","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.405849Z","title":"Neural network prediction of a storm surge","venue":null,"work_id":"21c21afe-6c89-47d8-a84b-a4e0bdbbefcf","year":2006},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.909382Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:6a6cc279145577ed292eeddf095be031c1b8bdbebbf4329a1d663930f8e0e8b1","observation_id":"81e7658e-04c1-4ed5-8451-05fae03f0b7e","resolution":{"observed_at":"2026-08-07T00:32:08.410077Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s43247-024-01887-6","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.394741Z","title":"Berg, L., and Judi, D","venue":null,"work_id":"b10c27f6-4b47-4c4c-bc26-759876ce7ec2","year":2024},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T00:31:59.966415Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:07dec7b4410b1a14902b5d0be8389cb78b159fdeceaa242ba269547aabea7eca","observation_id":"7dbc304e-d457-4940-9e52-093b3d54e0cc","resolution":{"observed_at":"2026-08-07T00:32:08.398064Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/nclimate2801","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.375061Z","title":"M., Horton, R","venue":null,"work_id":"399521f1-32d3-4936-b06a-0ac59b81dc71","year":2015},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.027459Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:692cff48c125800487419e0e1bed483f3b2b86fef54dfbe5aba56e8dc6704844","observation_id":"11a60c3d-29d5-430d-9abb-8e2b0c84bc7b","resolution":{"observed_at":"2026-08-07T00:32:08.386754Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:00.070431Z","title":"W., Lin, N., Oppenheimer, M., and Lai, C.-Y","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.070431Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:3fff270ddffe1d8bf432492fa4805278c89e489660be098d8abc75a3200a789d","observation_id":"c775e825-8a97-4898-a37a-d11daff5bcdd","resolution":{"observed_at":"2026-08-07T00:32:00.070431Z","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":"2026-08-07T00:32:09.412056Z","title":"A., Westerink, J","venue":null,"work_id":"7828a684-a154-49e5-9f90-bf9ba052222a","year":1992},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.122864Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:60e5c2175ca36984d34dba5bdfd0a7be4576fc0243b222c906b59cda87e8f1cf","observation_id":"cd2d8602-90ac-45e5-bde4-a0075f84a9c3","resolution":{"observed_at":"2026-08-07T00:32:09.415303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/fld.1650121002","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.195515Z","title":null,"venue":null,"work_id":"979bdfbe-2b27-4454-90d3-feb824bb15f8","year":1991},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.166265Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:2510005515b924166506da00e56ac541f897f69974e928c276cf2d3ae1508d8b","observation_id":"60081594-eb24-4bf3-af36-69a2b0d45400","resolution":{"observed_at":"2026-08-07T00:32:08.307905Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/ijerph13080775","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:08.052264Z","title":"W., Grineski, S","venue":null,"work_id":"949079d2-ba31-4f80-83d5-4f1198173f71","year":2016},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.223095Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:4e2b6fd4097b4b6088aa5731d889e158efc885dddcf5ba415a23cdb40a9e0120","observation_id":"5ecc1284-d056-47f5-b1b3-40751f0b4d01","resolution":{"observed_at":"2026-08-07T00:32:08.118435Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:09.401013Z","title":null,"venue":null,"work_id":"177a73ab-5f02-41a5-b319-84c1aa804e6d","year":2015},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.263030Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:3b923b15be8a0237848f29fe2bfecb7f22cb9e1ecce31d9327d5bcb3a4c2d582","observation_id":"b0a9fc02-a004-4271-85a7-79003dbecd8c","resolution":{"observed_at":"2026-08-07T00:32:09.404921Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.4018/jagr.2013070104","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:07.892927Z","title":null,"venue":null,"work_id":"cbbbce30-a328-428b-a019-840d087c2b25","year":2013},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.299846Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:874d0223ef0aaeed51e9b1789b84a1d87a4ace0c2078e05cdb04f3c14a1c6ace","observation_id":"440fe679-97ce-491d-bb9b-331ecbffadc5","resolution":{"observed_at":"2026-08-07T00:32:07.922282Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:00.360845Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.360845Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:721c77f3814642604582b9f2ba6e07b30de3cad8e004173ed19232488aa47920","observation_id":"b6317697-1b6d-47bf-81b0-d7b6a34adb50","resolution":{"observed_at":"2026-08-07T00:32:00.360845Z","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":"2026-08-07T00:32:09.389714Z","title":"A Data - Driven Storm Surge Analysis for the U","venue":null,"work_id":"420c6d67-b00b-4dbd-b2bb-209b33ad1f2f","year":2014},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.400081Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:28471f9b03a432accfcefdf999873cd4da40dafef4a8dea23bf20158c5bf6fdc","observation_id":"f985d068-203e-4116-b76f-2bbe2157a44e","resolution":{"observed_at":"2026-08-07T00:32:09.393809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10584-014-1304-z","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:07.681095Z","title":"E., Emanuel, K., Ravela, S., Ludwig, L., Kirshen, P., Bosma, K., and Martinich, J","venue":null,"work_id":"81cee097-9a7b-4c10-abbe-c2b9f40cba92","year":2015},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.433001Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:bd97a141e50777d113c07ab4d8f328dc79866a5d67b08dd1719a610ec61a4b6a","observation_id":"e51f82c6-6921-4856-97b1-5519f1210d86","resolution":{"observed_at":"2026-08-07T00:32:07.752956Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/2008jamc1907.1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:07.454304Z","title":null,"venue":null,"work_id":"231367f7-b580-4e57-8b64-36ba5709fcbd","year":2009},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.471596Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:2c1c2b035d12a1f458725b2a46556d90f576902e00fff2fea8dfb74973ae837c","observation_id":"ac12a64e-0e68-41b2-959d-ef949073aa4e","resolution":{"observed_at":"2026-08-07T00:32:07.611407Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.08458","last_updated":"2015-12-02T18:06:03Z","snapshot_observed_at":"2026-07-06T04:37:52.737823Z","submitted_at":"2015-11-26T17:45:01Z","title":"An Introduction to Convolutional Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.08458","snapshot_observed_at":"2026-08-07T00:32:00.523590Z","title":"and Nash, R","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.523590Z"},"links":{"cited_paper":"/paper/1511.08458","citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:09bd30fcac4a138bf0eaec895e47459b21a2a7a058d49dc98296cdf6249590db","observation_id":"9a22e095-43f7-4bc0-a333-75d808546878","resolution":{"observed_at":"2026-08-07T00:32:00.523590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.11214","last_updated":"2022-02-22T22:19:35Z","snapshot_observed_at":"2026-08-02T21:09:07.860947Z","submitted_at":"2022-02-22T22:19:35Z","title":"FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.11214","snapshot_observed_at":"2026-08-07T00:32:00.571578Z","title":"FourCastNet : A Global Data -driven High -resolution Weather Model using Adaptive Fourier Neural Operators , February 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.571578Z"},"links":{"cited_paper":"/paper/2202.11214","citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:e110b7562ffd166e91760abdeaa4b0493178426c5a2538dc6949e4cc35f6c9cc","observation_id":"42130d70-7fe7-4d9e-8760-014b80e14dc6","resolution":{"observed_at":"2026-08-07T00:32:00.571578Z","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/s1049023x1200129x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:07.344993Z","title":"Flood- Related Work Disruption and Poor Health Outcomes Among University Students","venue":null,"work_id":"4c0d9f6e-a22f-4e4a-90a2-d931d75c1e30","year":2012},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.627045Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:304dc398ceea3886c58c4194779d38fe97641934a4817a120297439865d9c26a","observation_id":"d587cf73-f3cc-4ac3-867c-a093a63c99bd","resolution":{"observed_at":"2026-08-07T00:32:07.416384Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.15796","last_updated":"2024-05-01T16:30:43Z","snapshot_observed_at":"2026-08-09T01:23:31.714737Z","submitted_at":"2023-12-25T19:30:06Z","title":"GenCast: Diffusion-based ensemble forecasting for medium-range weather","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.15796","snapshot_observed_at":"2026-08-07T00:32:00.709735Z","title":"R., El-Kadi, A., Masters, D., Ewalds, T., Stott, J., Mohamed, S., Battaglia, P., Lam, R., and Willson, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.709735Z"},"links":{"cited_paper":"/paper/2312.15796","citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:0c3ded108a9bab1203cd25c90cfc99d2f8cc93c96fb0cfe3aa6bea0b31ad1cd4","observation_id":"9f83a266-8953-432a-a928-c996bce07f5c","resolution":{"observed_at":"2026-08-07T00:32:00.709735Z","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":"10.5194/gmd-14-1125-2021","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:07.234027Z","title":"J., Wirasaet, D., Roberts, K","venue":null,"work_id":"7d93fa94-7fb5-4be3-8dc9-7e4322c9975d","year":2021},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.773671Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:7ed8d8db15f8ee896c8c90966018c71c6a99041c8cfd12c876664a3520961ed9","observation_id":"e3a8b58c-d4c3-44c5-8a2c-a9bcb6c60f5f","resolution":{"observed_at":"2026-08-07T00:32:07.272113Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jenvman.2018.11.039","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:07.120913Z","title":"Disparities of population exposed to flood hazards in the United States","venue":null,"work_id":"64c25c30-ccca-4155-8ed5-c30cb3d17eba","year":2019},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.853418Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:dda0e9b98396695a1417807a248254f214efb21f26a821b84baeadd18aa9c723","observation_id":"a898793b-cd3c-48a6-8565-f52623b2267e","resolution":{"observed_at":"2026-08-07T00:32:07.202423Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/bams-d-12-00074.1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:06.999033Z","title":null,"venue":null,"work_id":"1340b295-59a9-47b0-bce1-84ea327fc363","year":2014},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.900785Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:85909517df75ddcf4e056bc0ae9d02d4133914c5d7db0a31d5a405d15c4adf58","observation_id":"17a22c81-0827-4990-9b1d-0e36ddc94835","resolution":{"observed_at":"2026-08-07T00:32:07.060255Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1748-9326/adad85","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:06.876496Z","title":"R., Balaguru, K., Staid, A., Xu, W., and Judi, D","venue":null,"work_id":"5ef6ecd1-1860-49f5-9a90-f890dd7d0a63","year":2025},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:00.958127Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:39668b14f2720f540e8e22f5d5e6ac54f91f6b64434e9978dbadea03b08abd24","observation_id":"ed1aefab-fd5a-4ccf-bd68-f09022c75572","resolution":{"observed_at":"2026-08-07T00:32:06.907475Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:09.379515Z","title":"and Van Banning, G","venue":null,"work_id":"af0b01be-9ff0-4808-8d74-0f34a0eee8e2","year":1995},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:01.021439Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:1a6673462d01c088f436dd0bda57884048d9bd200ba68b631133813cdd98e800","observation_id":"86edc979-8d0e-4158-8caa-45e582f19911","resolution":{"observed_at":"2026-08-07T00:32:09.382849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:09.369468Z","title":null,"venue":null,"work_id":"9e2933bc-264f-4573-983a-038e27d9b3d7","year":2022},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:01.083099Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:f777b3f4e718ae4862f34ae8dd405d9dee4a22c95cf477ec353bcf0ec8e8a62d","observation_id":"c9f29d1c-01ae-457b-b5fc-c022ca273c03","resolution":{"observed_at":"2026-08-07T00:32:09.372879Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00500-019-03775-0","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:06.735274Z","title":"and Bhaskaran, P","venue":null,"work_id":"2d54f9de-6cf8-46d9-a6c0-30bd4a12c38c","year":2019},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:01.157139Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:90c8fadb36385d79df497fbf4448b01d181a6a9f245ba843b21ad65240cb15cb","observation_id":"daf96aeb-3fca-4c62-96ca-584be23e68fa","resolution":{"observed_at":"2026-08-07T00:32:06.810428Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:01.213404Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:01.213404Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:f0139489dd6ce6abc92028589030ab12e35fe3ccba588c222ab9ef7e98425c9c","observation_id":"6177d877-7052-4dec-bc7e-048bfc6050fe","resolution":{"observed_at":"2026-08-07T00:32:01.213404Z","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/s41467-022-31056-2","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:06.625527Z","title":"T., Noy, I., Wehner, M","venue":null,"work_id":"9c11041c-9215-485b-aab6-b9c11941a2a1","year":2022},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:01.287683Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:e60b88b90592bdd4236132b49342ad8f56bbbd61c55298d64e6b582fdd28f886","observation_id":"9bd338ac-6267-42ac-bf70-d6b59bb4e0aa","resolution":{"observed_at":"2026-08-07T00:32:06.678239Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1097/dmp.0b013e3180691856","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:06.457823Z","title":"U., Grew, D., Chin, K., Kadetz, P., Greenough, P","venue":null,"work_id":"fc11a891-1ca8-4e14-966c-247055a85520","year":2007},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:01.353124Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:8f17dc8ab4439c2b10eae1a889255589f4af8063131e2cb7be4a576eecfc5f31","observation_id":"8733ecd7-0743-47e1-b918-1ba8ad8f834d","resolution":{"observed_at":"2026-08-07T00:32:06.548433Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1748-9326/7/1/014033","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:06.324336Z","title":"H., Ziemlinski, R., Weiss, J","venue":null,"work_id":"2aac918a-30b7-4ffc-9cc3-84aa7b638d1b","year":2012},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:01.438928Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:f8e0f1682e0f912bc56eea67cc9135903fcd4be025afbe97aad624cf5609c028","observation_id":"bd3e9be6-4584-4c83-b11f-16be684c9edb","resolution":{"observed_at":"2026-08-07T00:32:06.358695Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s1385-1101(03)00024-8","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:06.165072Z","title":"Forecast of storm surge by means of artificial neural network","venue":null,"work_id":"0148b8e6-d40d-4e39-83be-8b5b76af60ad","year":2003},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:01.550698Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:31f1b4e3aee99b0e41c5679dfb6651bcbc7fe2f690bcce918f09a310aef4da8e","observation_id":"861cbb84-f651-4c75-93d6-d665445b7723","resolution":{"observed_at":"2026-08-07T00:32:06.219862Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5194/nhess-19-973-2019","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:06.030761Z","title":"T., Schuerch, M., Wolff, C., Spencer, T., Merkens, J","venue":null,"work_id":"5fa65ba5-38af-448d-a4f0-2488f8abc1ed","year":2019},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:01.641924Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:619f362f187c8fb8bbc8c724b199e2a3e8e0164a0187cab3b29c9eb40ee870d6","observation_id":"c43f790c-989d-4cdb-9555-8e29c6aa8508","resolution":{"observed_at":"2026-08-07T00:32:06.121615Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:09.359253Z","title":"Flooded House or Underwater Mortgage ? The Macrofinancial Implications of Climate Change and Adaptation , March 2023","venue":null,"work_id":"24ff957d-e785-400f-8fe1-bfc1cdc92672","year":2023},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:01.767970Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:87d379f543faff1bb724770a69c501dc88ff80e04c1e1891bb8c2cef020ea1fa","observation_id":"bb70a566-f673-4b55-8c20-1c5e47d34ca0","resolution":{"observed_at":"2026-08-07T00:32:09.362823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2139/ssrn.4396481","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:05.936169Z","title":"Surge of Inequality : How Different Neighborhoods React to Flooding","venue":null,"work_id":"cb0293d9-14ba-4c07-a313-801f200675fc","year":2023},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:01.896855Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:6c9f185f490bc1a3dae877b05e13ff3dbf25fb9508fd45ebfa95f71039adc1d6","observation_id":"7bdfe4d4-4b24-4112-8d59-8ef5215386b6","resolution":{"observed_at":"2026-08-07T00:32:05.969219Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11852-020-00735-x","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:05.784565Z","title":null,"venue":null,"work_id":"a860322a-9885-4a24-9b99-0e43a45a2df7","year":2020},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:02.005002Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:494f7a87d4de156794a748625f76a43b82f6b9723ba427f6229f51f76ccd7367","observation_id":"ccd0ffed-e95f-4a6a-8750-b40683d9646e","resolution":{"observed_at":"2026-08-07T00:32:05.858782Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:09.348767Z","title":"WMO Atlas of Mortality and Economic Losses from Weather , Climate and Water Extremes (1970–2019) , volume WMO-No","venue":null,"work_id":"279013b7-d451-482b-a864-f46b0eaa0a97","year":1970},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:02.139369Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:df20401a27c3a48c64d1cebd55f9f7993eba4bf01f8c9b64d4892fb45a5b90ae","observation_id":"eff4b861-a42d-4966-86e2-765b82de08da","resolution":{"observed_at":"2026-08-07T00:32:09.352574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:02.248686Z","title":"Developing a deep learning-based storm surge forecasting model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:02.248686Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:513c2c324eb5857e9776b0b525e4ae609571828706f11ef7ecac5dcd95962f2c","observation_id":"40c4dfa9-c92f-42a7-81df-86efb7efe321","resolution":{"observed_at":"2026-08-07T00:32:02.248686Z","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":"10.1175/waf-d-20-0104.1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:05.665492Z","title":"Deep Learning Experiments for Tropical Cyclone Intensity Forecasts","venue":null,"work_id":"c6a99a38-3705-484f-b046-af2eeaa2db86","year":2021},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:02.350777Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:fb382e340d3fb6e4f9e51121c2c068e832135e72ff0853651ff35893fc295dea","observation_id":"6b0b9a1c-25cf-4233-b758-bf506c4ce590","resolution":{"observed_at":"2026-08-07T00:32:05.729002Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41597-024-02952-7","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:05.573990Z","title":"R., Rice, J., Leung, L","venue":null,"work_id":"f87821d0-99f3-402c-81d6-9581d873acb6","year":2024},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:02.415513Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:2366baa8170bc727ecaf2beed06348b1407a1b81b60a3292e18fb2329f547e82","observation_id":"db5ff9c4-c19a-4ae0-bec7-3d2b43407842","resolution":{"observed_at":"2026-08-07T00:32:05.608926Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-07T06:19:06.285048+00:00","source":"paper_reference_links","state":"open"},"event_date":"2024-02-06","event_type":"correction","notice_doi":"10.1038/s41597-024-03040-6","provenance":{"observed_at":"2026-07-11T02:59:48.822144+00:00","source":"crossref","source_record_id":"10.1038/s41597-024-03040-6->10.1038/s41597-024-02952-7:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/rs8050366","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:05.439391Z","title":"P., Avtar, R., Kraines, S., Yamamuro, M., Lindberg, F., and Grimmond, C","venue":null,"work_id":"b95c2952-59fe-40ff-a9a9-2677fed1c05c","year":2016},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:02.505260Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:f66c1c5988b548f0393983940867d522b0e5eeae623542b6901a84187eb82f88","observation_id":"5f164f62-1219-4607-ac95-d6d1872f7bfe","resolution":{"observed_at":"2026-08-07T00:32:05.490923Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.regsciurbeco.2016.06.005","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:05.268467Z","title":"Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis","venue":null,"work_id":"dd13161c-2b4d-4118-8ce2-32060274597e","year":2016},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:02.633888Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:3ed82506fb74b223a06ea90e41bcce316d6ca153c01d6a3b805791a73716660f","observation_id":"0b49bb35-6e86-4f6b-bf02-bd92e7c26280","resolution":{"observed_at":"2026-08-07T00:32:05.356455Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01572","last_updated":"2024-04-02T02:07:13Z","snapshot_observed_at":"2026-07-06T17:54:19.921202Z","submitted_at":"2024-04-02T02:07:13Z","title":"Tropical cyclone genesis potential using a ventilated potential intensity","version":1},"cited_work":{"arxiv_id":"2404.01572","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.01572","snapshot_observed_at":"2026-08-07T00:32:08.642080Z","title":"Tropical cyclone genesis potential using a ventilated potential intensity","venue":"physics.ao-ph","work_id":"2b077eb9-8e5b-4d7d-b165-2138f63c1520","year":2024},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:02.739723Z"},"links":{"cited_paper":"/paper/2404.01572","citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:1f3bb730f0303595eaa0459a9751f1dff4bd1321d608ef727a47784919c0d7f0","observation_id":"c09fe9e8-cb31-4d31-ba41-c332a3ffc0d4","resolution":{"observed_at":"2026-08-07T00:32:08.646044Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2112/jcoastres-d-09-00076.1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:05.161805Z","title":"An Estimate of the U","venue":null,"work_id":"d378103d-bd9b-4e73-b904-4f78b93b3d78","year":2010},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:02.812200Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:38bada02201a91c82a91dd19df786f00d6c388dd4a1af78d0f53fcfd8dab5d12","observation_id":"601be80d-5b52-4bf1-a0ef-08414991a9c6","resolution":{"observed_at":"2026-08-07T00:32:05.198372Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:09.338639Z","title":null,"venue":null,"work_id":"f198167d-6b00-440e-b6de-f0476cc208a2","year":2010},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:02.917504Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:20efd4eea20b997d45c1dd5ac20b0daebfaf7c119fe80669c10642748de92b5d","observation_id":"aa0d00b3-f533-4f27-b921-97dd581d50e5","resolution":{"observed_at":"2026-08-07T00:32:09.342029Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/2011mwr3611.1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:09.327961Z","title":"C., Westerink, J","venue":null,"work_id":"19b55e46-d3c8-4f01-b860-5f00857e8bfa","year":2008},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:03.017126Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:d07867ac88e62eb6eecd926857392b23beee81cc6e7d75bcdc26a9cbfa4947a2","observation_id":"0745ad68-3ee4-434b-a4be-1aa63ab01700","resolution":{"observed_at":"2026-08-07T00:32:09.331536Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/bams-87-3-299","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:04.985054Z","title":"A Statistical Deterministic Approach to Hurricane Risk Assessment","venue":null,"work_id":"424dd517-ed66-45df-a3c2-c81418928e8d","year":2006},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:03.088734Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:a5449ccc90116f9abb0e5549db663551bfc1a0b7a0bde3c1d9323e65bcafb800","observation_id":"06269341-8f0f-485c-97e2-885d3b5061f3","resolution":{"observed_at":"2026-08-07T00:32:05.086845Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:09.317074Z","title":"An introductory review of deep learning for prediction models with big data","venue":null,"work_id":"23b0cfc9-eacd-415f-8117-8fc20f0b9011","year":2020},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:03.206760Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:011b2501cbad84805cb7d615036029796a4d841cbf8e8377c230fff00de16e0c","observation_id":"66b6ed4a-f3a3-4d8c-b2cc-53c43a12a233","resolution":{"observed_at":"2026-08-07T00:32:09.320547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:09.306291Z","title":"Final Coastal and Riverine High Water Mark Collection for Hurricane Katrina in Mississippi","venue":null,"work_id":"439382fa-5087-44df-bce2-4a6a948ecb57","year":2006},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:03.315126Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:de7eaca3000b44de5979095eb6d18479f7f1356ef2e19a8ad6705da24838cc1d","observation_id":"edddede1-5698-4002-bfc3-95f61f9cd808","resolution":{"observed_at":"2026-08-07T00:32:09.309873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:09.284631Z","title":"High Water Mark Collection for Hurricane Katrina in Alabama","venue":null,"work_id":"8560f72b-9b15-48e7-96f4-445ea183b4db","year":2006},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:03.389758Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:77147a6704717dc33ef1ea507f660b81c97ce6c06790cc3957a5e65332fbd4fa","observation_id":"8fae43b7-272a-4b34-844c-171e9698d67e","resolution":{"observed_at":"2026-08-07T00:32:09.297519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:09.214238Z","title":"High Water Mark Collection for Hurricane Katrina in Louisiana","venue":null,"work_id":"98a19893-6a60-4153-9183-22db11c56ba1","year":2006},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:03.492018Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:43cf4a4287b15232877433aee3b052e5909a894cb7441f7db26afc1402ff731d","observation_id":"aa8f59f0-0c04-45bf-bc01-2d3464ea3738","resolution":{"observed_at":"2026-08-07T00:32:09.247604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2151/jmsj.2022-024","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:04.820912Z","title":"R., Satoh, M., and Takagi, H","venue":null,"work_id":"1c746641-b87a-4f23-98bc-0486afeb25e2","year":1980},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:03.573294Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:ad8d46afe4473d465500ef737ee29df6ac907c3f09246f46a931b08a7c02b1d9","observation_id":"0fa3ac31-d236-4e91-8757-f9569ddb73c5","resolution":{"observed_at":"2026-08-07T00:32:04.856282Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T00:32:09.107974Z","title":"R., Neumann, C","venue":null,"work_id":"a4206974-fdea-442f-9aac-4cfb72894592","year":1983},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:03.682349Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:894f2349527f6310cc6c0790cc9db581bfc4929928844ae155b58b02013b7d67","observation_id":"d94720fa-5c10-4a28-942f-1d66b586408c","resolution":{"observed_at":"2026-08-07T00:32:09.169005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1029/2018gl080098","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:04.693245Z","title":"R., Balaguru, K., Xu, W., Mapes, B., and Soden, B","venue":null,"work_id":"f39b89b1-899b-4b51-bd38-614ad78499f5","year":2018},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:03.796424Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:470ed2d9c26333804de0fc3c26f5df142ffac6696ce9cf91eb21392e99c13d27","observation_id":"8d67134e-b6d7-44e8-874e-8e5dff03a027","resolution":{"observed_at":"2026-08-07T00:32:04.766029Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2026-08-07T00:32:03.858420Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:03.858420Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:09ecaa43f471b39a55dab25fb1b18af19c5075dcb45b1965fa93bf1600eb8d6c","observation_id":"3f2b6a6a-1406-4c67-8211-db51b6ece831","resolution":{"observed_at":"2026-08-07T00:32:03.858420Z","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":"2026-08-07T00:32:03.907293Z","title":"Deep learning","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:03.907293Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:06f317d3425629539c379a099ffbfbd42f2bc98c4062f8156060894011c1793b","observation_id":"19675bd1-1c7a-48a8-a084-0ba851023028","resolution":{"observed_at":"2026-08-07T00:32:03.907293Z","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":"2026-08-07T00:32:09.067103Z","title":null,"venue":null,"work_id":"e80aa5f4-7fa3-46e3-8a14-053a7ecd5699","year":1992},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:03.987741Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:2ec86db8ba9a45d2059cf4458e653c56feb55764399acf2efa9b0333d558ceae","observation_id":"650d1f8c-bd46-4a94-90d5-2a6098642d57","resolution":{"observed_at":"2026-08-07T00:32:09.077390Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s43247-022-00410-z","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:04.503931Z","title":"and Wang, B","venue":null,"work_id":"9e5fb4df-803a-443b-92fc-3c1dff283dd0","year":2022},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:04.074763Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:9d265b0dce27870b9b91094d2e9bd9ec5440181cb5b3219b95f51418fc2f4818","observation_id":"34be9d75-75d5-4e06-98ad-8bb0edb353eb","resolution":{"observed_at":"2026-08-07T00:32:04.585411Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1175/mwr3106.1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:32:04.286974Z","title":"E., Darling, R","venue":null,"work_id":"f38e0d5e-0b00-4cc0-a565-2c53653cb506","year":2006},"citing_paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:04.154725Z"},"links":{"citing_paper":"/paper/2506.13963"},"observation_digest":"sha256:14c020f91992a6dbfe7e1811830555e5bc9ff9ebaad2365bf7a06b0b24a686f6","observation_id":"2ce13b97-b859-4cf7-a0a9-aaf88b5bc842","resolution":{"observed_at":"2026-08-07T00:32:04.362836Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.13963","last_updated":"2025-06-16T20:12:51Z","latest_version":1,"primary_category":"physics.ao-ph","snapshot_observed_at":"2026-08-09T01:23:56.805972Z","submitted_at":"2025-06-16T20:12:51Z","title":"Projecting U.S. coastal storm surge risks and impacts with deep learning"},"reference_resolution":{"displayed":85,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":47,"verified_fuzzy":10},"total_outbound_references":85},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2506.13963."}