{"as_of":"2026-08-10T01:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3f9aadb23ec639b56c19b351359a91ba254eaeff34e52b33b6f9b63995a0a88a","coverage":[{"denominator":112,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:18:31.992918Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"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/2506.08397/citation-record","integrity":"/paper/2506.08397/integrity","json":"/paper/2506.08397/citation-record.json","paper":"/paper/2506.08397"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:20.118639Z","title":"Peduzzi, B","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:20.118639Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:85810ba45318262cac6e33e35b702fa006f126fe4c72b4acf7b4b1c8b1604d4a","observation_id":"1ef6c3a0-b4c9-4c14-8a1c-c7025048def4","resolution":{"observed_at":"2026-08-07T05:18:20.118639Z","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":"2026-08-07T05:18:20.268234Z","title":"Miyamoto, T","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:20.268234Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:0f6a4efd2d1a921e975a78c00c19c19ad37421f84d98b7ef5f4f4345ae5d44c7","observation_id":"9640a94c-968c-438e-905b-8f9c5d8bb1b5","resolution":{"observed_at":"2026-08-07T05:18:20.268234Z","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":"2026-08-07T05:18:20.399173Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:20.399173Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:20bbe67d64bae0bafeeb7972352ce6a9b42a6542b2c3d01120f5461f8b59e4cc","observation_id":"81bb74b8-99b9-47cd-94e2-94465d878b3b","resolution":{"observed_at":"2026-08-07T05:18:20.399173Z","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":"2026-08-07T05:18:20.505451Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:20.505451Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:9dc7ca4d2b9d17e8c92b1e2822de32e86b0977002e9acb380780760e660b9ca5","observation_id":"6002e689-dbf5-4bc7-a65c-e6d75e7dcc02","resolution":{"observed_at":"2026-08-07T05:18:20.505451Z","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":"2026-08-07T05:18:20.646903Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:20.646903Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:eb66309987e2a354f49a63e793ff8999eae563a8cd11fc3422059ba915fe7d80","observation_id":"35d857d0-8a26-48d1-8a7f-cf58261071e7","resolution":{"observed_at":"2026-08-07T05:18:20.646903Z","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":"2026-08-07T05:18:20.772176Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:20.772176Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:54da594ccea66f0dab6476662946f6de973ed89edccf9fba3a71b1e715d911f6","observation_id":"3ed76e93-12cf-4f2a-9194-70972c47c1ad","resolution":{"observed_at":"2026-08-07T05:18:20.772176Z","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":"2026-08-07T05:18:20.860440Z","title":"Kaplan, C","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:20.860440Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:7bb0287baeadbee08bae3f579df5ae5e2e3c4b7546b9df68f8771d90e08a919d","observation_id":"c1ef07ae-9b39-4bfc-bd5f-640178a62980","resolution":{"observed_at":"2026-08-07T05:18:20.860440Z","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":"2026-08-07T05:18:20.949952Z","title":"Molinari, D","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:20.949952Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:a8c2fffe278a6b6a1344623a4cb82dea406253ddd2fc9eec9903e376421fc125","observation_id":"f2e44cd6-b59e-4efc-b19f-a3a4b5226799","resolution":{"observed_at":"2026-08-07T05:18:20.949952Z","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":"2026-08-07T05:18:21.057503Z","title":"Kaplan, M","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:21.057503Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:cb14a5f89a0c20b8fa631b8dd781564512248707e66e1770380a6e3d191d90dc","observation_id":"e23379a9-97f2-4349-8a78-8cac2ad5d27d","resolution":{"observed_at":"2026-08-07T05:18:21.057503Z","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":"2026-08-07T05:18:21.174461Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:21.174461Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:e0d7d81306da4bce39850d9f8ed0f2d07fe4a6b18f6e5114e447a5cba5f26838","observation_id":"3bb03447-a96c-4f54-bc0f-1b3e64f28330","resolution":{"observed_at":"2026-08-07T05:18:21.174461Z","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":"2026-08-07T05:18:21.297799Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:21.297799Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:8ab4be7bfc388d7b71f98592dc09c07623525a41c8bd466e83e25436f36d5331","observation_id":"4c744213-3a4a-4b34-9cda-a2fc094202cb","resolution":{"observed_at":"2026-08-07T05:18:21.297799Z","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":"2026-08-07T05:18:21.420950Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:21.420950Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:de76390638b256cbfe532a78c6500bca2202bfc4a1530ab0d33a3d631c50424a","observation_id":"975e0612-ffea-4cbe-8f83-a3f339378223","resolution":{"observed_at":"2026-08-07T05:18:21.420950Z","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":"2026-08-07T05:18:21.531199Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:21.531199Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:c15724baf60415a850b4b560fd745269a78f300eb273cc3cf2513b9e1343ef75","observation_id":"7c42bb02-c5cf-4338-a6ff-209f5b754855","resolution":{"observed_at":"2026-08-07T05:18:21.531199Z","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":"2026-08-07T05:18:21.617399Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:21.617399Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:145e25d713a8d78f22c85e75666d2d0096917d2e64bd24d2ada288ed8176b33e","observation_id":"6d539fc5-4f4e-4de9-ac22-62103d35a1bf","resolution":{"observed_at":"2026-08-07T05:18:21.617399Z","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":"2026-08-07T05:18:21.747459Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:21.747459Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:26fea323bc4f77eb91e7d944aa67d78d0018bd70a0eaed0baa5228c863b1a05a","observation_id":"5a54b0da-bde4-4dee-ba05-15a12e628c1a","resolution":{"observed_at":"2026-08-07T05:18:21.747459Z","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":"2026-08-07T05:18:21.850842Z","title":"Hochreiter, J","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:21.850842Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:dbe7bf487411b3eebe7914ac42aa87ebfac8fb9315a4b8ee30a47deae7e83c0a","observation_id":"f5b07829-0ea9-4194-9ddc-abfc514013a8","resolution":{"observed_at":"2026-08-07T05:18:21.850842Z","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":"2026-08-07T05:18:21.905987Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:21.905987Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:08e46a1ced709fb784e17da6da80b70acfa9aec93a8b709e1429658c91e4f82a","observation_id":"0f86242a-9640-44da-abbf-2b556cdfdecd","resolution":{"observed_at":"2026-08-07T05:18:21.905987Z","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":"2026-08-07T05:18:21.984619Z","title":"Varalakshmi, N","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:21.984619Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:e7057bd1b90962794c154124f5c2f6c227e0f8fedc0c3c7a202f07675663666d","observation_id":"011000ab-073a-4f1d-9169-a95aa4955143","resolution":{"observed_at":"2026-08-07T05:18:21.984619Z","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":"2026-08-07T05:18:22.075185Z","title":"Wimmers, C","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:22.075185Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:67da7efa205e93c500c990b1298b01f6104bfac18520d88eb648e41dc9a94a94","observation_id":"8c00b0c2-966c-4f7f-bbbb-a3513c0c8c41","resolution":{"observed_at":"2026-08-07T05:18:22.075185Z","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":"2026-08-07T05:18:22.210485Z","title":"Maskey, R","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:22.210485Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:e45037f63b6d3896d6c29208ee6ec11beb32d9c2d68b00a0490658936834f2d7","observation_id":"74e1b757-31f7-4123-ab46-ec8a79ca6ebe","resolution":{"observed_at":"2026-08-07T05:18:22.210485Z","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":"2026-08-07T05:18:22.315674Z","title":"Rajesh, V","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:22.315674Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:658f1d95bb9ac19b77cebedd68a3281e84e55acfe9a6ba459842ba2a88ef6e2d","observation_id":"6c789517-4190-40a3-b9fe-ff335a37b143","resolution":{"observed_at":"2026-08-07T05:18:22.315674Z","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":"2026-08-07T05:18:22.449088Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:22.449088Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:e5b8fce74be2657550860f6dca5b87e3de7e2390b4b95a21cc83a1ecfbb0688e","observation_id":"43f0f0f2-fd48-4dc3-9e83-fe01f5e6ac52","resolution":{"observed_at":"2026-08-07T05:18:22.449088Z","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":"2026-08-07T05:18:22.594703Z","title":"Wei, Study on wind simulations using deep learning techniques during typhoons: a case study of northern taiwan, Atmosphere 10 (2019) 684","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:22.594703Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:242c92b72d2f001d7c59c5f5440a0cae496481613829a5092044923d194d75f1","observation_id":"bc58382b-cfa5-4ecb-aaa6-b5c6d6c2b442","resolution":{"observed_at":"2026-08-07T05:18:22.594703Z","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":"2026-08-07T05:18:22.757948Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:22.757948Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:59e763b05c510409f2922eb27c5143ffb69beb541d26418dbc90abad5fc97fec","observation_id":"76a3ae19-9ecf-4842-add6-566660538d7e","resolution":{"observed_at":"2026-08-07T05:18:22.757948Z","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":"2015.72803","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:35.540918Z","title":"Chandra, K","venue":null,"work_id":"e08c2b3a-ea0a-4ad2-a484-d001d5eb7bbb","year":2015},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:22.924172Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:6a3e3b87cb47858a1e8585e8b6007f83faded71b5c189efec3c1be796ae79384","observation_id":"a73d0357-7bf4-4211-a5e0-8c922faffe1a","resolution":{"observed_at":"2026-08-07T05:18:35.702308Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":"2026-08-07T05:18:23.012197Z","title":"Chandra, R","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:23.012197Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:ee747b7570302e23b75f8ed0bb1a78d65fa01c284b9b5b98cec29e9c43ae3520","observation_id":"b45fd980-6613-40ef-a0f1-5d2753b7f080","resolution":{"observed_at":"2026-08-07T05:18:23.012197Z","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":"2026-08-07T05:18:23.138952Z","title":"Zhang, R","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:23.138952Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:83b96d3c2c99bb1d5ebab8ecd1624922911db00638b575db1b40a951fd39d4ef","observation_id":"eb223d24-ace3-4ccc-8b53-2e9b75be26b8","resolution":{"observed_at":"2026-08-07T05:18:23.138952Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-07T05:18:23.225478Z","title":"Chandra, Y","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:23.225478Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:d877c5155bfc5386beb0595edf8ff67f15e93dd73471ad8c871b65452d48ea38","observation_id":"2a9f83a3-db40-4470-90eb-6fa04eb7949a","resolution":{"observed_at":"2026-08-07T05:18:23.225478Z","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":"2026-08-07T05:18:23.326621Z","title":"Chandra, Dynamic cyclone wind-intensity prediction using co- evolutionary multi-task learning, in: D","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:23.326621Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:3751cf8c11032fb8f0b11ff62f40711e925bd6daaaa4cafa79e5f34d0e094a3f","observation_id":"350fc07a-98a2-4bf7-a42f-15c028d3fb9a","resolution":{"observed_at":"2026-08-07T05:18:23.326621Z","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":"2026-08-07T05:18:23.500634Z","title":"Kapoor, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:23.500634Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:aa5edda6ebc192604b30fa5b6d2d732e3253d73d6e71eb5a983df13fd2467c98","observation_id":"e5d0a251-2d05-45f1-91d9-49b6b05d85dc","resolution":{"observed_at":"2026-08-07T05:18:23.500634Z","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":"2026-08-07T05:18:23.640826Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:23.640826Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:3f3b8701478803ef64859cf8202ab6d83bd376879021505d9ae997837203cb0c","observation_id":"a9c50281-2b77-4826-a695-e3382685d747","resolution":{"observed_at":"2026-08-07T05:18:23.640826Z","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":"2026-08-07T05:18:23.730227Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:23.730227Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:adaaddcdb066ffc3b9eabecb194bf38bf66caaeaf571681dcdb93899731db948","observation_id":"ccdb823b-150e-4417-8177-ebbf9933f7d3","resolution":{"observed_at":"2026-08-07T05:18:23.730227Z","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":"2026-08-07T05:18:23.946926Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:23.946926Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:f60cf9d86f2a35b7befaa10378d9e791fac6e25c0c924dfbb8bc1218f0aaa977","observation_id":"2cc89537-3968-4e26-afc5-11dddd65b2ca","resolution":{"observed_at":"2026-08-07T05:18:23.946926Z","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":"2026-08-07T05:18:24.055738Z","title":"Yang, C.-Y","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:24.055738Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:dbe0175d6a14e01ffc0ffdb20e0e1371b60a50b0f6c1b7aa41a1b6427e840fd0","observation_id":"10fe9172-9da9-40de-87da-9cd815258a2b","resolution":{"observed_at":"2026-08-07T05:18:24.055738Z","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":"2026-08-07T05:18:53.469791Z","title":"Chandra, K","venue":null,"work_id":"d95bd679-f778-4bf6-89e8-3cfd69a0f8a1","year":2015},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:24.201257Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:ac156437b5ff073afa2a8b6e588e64e6cf0b3b6364d2e0cae4703ddb6925e88b","observation_id":"9115ea0d-4e1c-486a-af3c-6f60047a234f","resolution":{"observed_at":"2026-08-07T05:18:53.602351Z","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":{"arxiv_id":"1701.04518","last_updated":"2017-01-17T03:08:12Z","snapshot_observed_at":"2026-07-06T05:26:24.038592Z","submitted_at":"2017-01-17T03:08:12Z","title":"Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks","version":1},"cited_work":{"arxiv_id":"1701.04518","doi":null,"metadata_source":"pith","pith_arxiv_id":"1701.04518","snapshot_observed_at":"2026-08-07T05:18:35.111098Z","title":"Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks","venue":"cs.LG","work_id":"d55fb645-ba60-408c-b78c-b2b97e206962","year":2017},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:24.374245Z"},"links":{"cited_paper":"/paper/1701.04518","citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:6a9c892a35203649a3ec919aa7bbc8b68a67518276e7fe5f4e0677d2d21a883a","observation_id":"c8a95aef-26c0-441a-8980-95fc1e624e2c","resolution":{"observed_at":"2026-08-07T05:18:35.282269Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:53.117162Z","title":null,"venue":null,"work_id":"41983b54-6f89-4605-899b-116e7b5ecedd","year":2002},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:24.516859Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:2a0941304b604b71b56038e167e38555c89d60aca77d579dd9b1c719ce6173d1","observation_id":"c639fb3f-43b0-4ec0-a65a-bef3d913d268","resolution":{"observed_at":"2026-08-07T05:18:53.289454Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:52.813785Z","title":"Torgo, R","venue":null,"work_id":"0d7fcc26-0375-4c9b-8a39-3b2ca1d3ae91","year":2013},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:24.666643Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:c7970f81ef510d68b9f5cfe42ea0c2c1a7e2ce375d91125001c184fa9ec162ed","observation_id":"3404c1e5-a45b-4bc1-a3a0-363f248dd563","resolution":{"observed_at":"2026-08-07T05:18:52.968844Z","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":"2026-08-07T05:18:52.547021Z","title":"Goodfellow, J","venue":null,"work_id":"d58f737c-b1d3-4ca0-b775-2ae8a07bd6db","year":2014},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:24.811502Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:cbb731eb55f29a2a515a1ca11b3917b385065c77d9490b7dd48b3b113b230249","observation_id":"6c3095bd-6292-4225-bde8-78820504dd9f","resolution":{"observed_at":"2026-08-07T05:18:52.680612Z","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":"2026-08-07T05:18:52.316704Z","title":null,"venue":null,"work_id":"7d025589-e8be-4413-8bb4-10ecbd21b01d","year":2018},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:24.951494Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:f4f8edc1f05ba5deda247236ddb0e0641a52ace83e910bc51ead5db321d7ad14","observation_id":"a484b1f0-d881-4ecb-b1ee-72fe054e1d57","resolution":{"observed_at":"2026-08-07T05:18:52.439099Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:52.084677Z","title":"Galar, A","venue":null,"work_id":"fb858e88-b751-4428-ba61-6ee040e07980","year":2011},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.074058Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:8cf33a94f70dfb43fb91c544c68ef49b1386a4e40bf79fde7515b638b4ad838f","observation_id":"72dd0593-dd65-4936-8d72-2c8f51d8e3fb","resolution":{"observed_at":"2026-08-07T05:18:52.197983Z","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":"2026-08-07T05:18:51.798889Z","title":null,"venue":null,"work_id":"9058143b-2723-420d-8f33-7c59c697a437","year":2013},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.166210Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:9cce989cf93559d532599d2cff227f22d1cd6996e3c45b826a76c62d28fbf1a5","observation_id":"8e014cc2-25ee-4e24-b9f8-57bac19ca828","resolution":{"observed_at":"2026-08-07T05:18:51.960674Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:51.556038Z","title":"Gosain, S","venue":null,"work_id":"3176ce8a-c1ac-4f36-a6fb-c97ae911a4b8","year":2017},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.286616Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:461c6267f9e05dce114faf3f2984c4e672c232827346c0364ba0763f8360b5c4","observation_id":"3cd678b8-c90f-442c-87ba-b4c85314d776","resolution":{"observed_at":"2026-08-07T05:18:51.659336Z","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":"2026-08-07T05:18:51.278746Z","title":null,"venue":null,"work_id":"7803000a-30c3-4266-a1c9-a1637153b763","year":2021},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.406750Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:1bf27e5a0248334c31c1f7a8577bdac9e6d060b69ea76b3804c268e6146259b0","observation_id":"f86de586-f82f-46c3-a578-829b46c767ed","resolution":{"observed_at":"2026-08-07T05:18:51.410087Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:51.017476Z","title":null,"venue":null,"work_id":"0a51ad81-e2aa-4db8-8f6c-9edc61187551","year":2017},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.511690Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:ee00b233b0b0fbfcb63ca750933f880ff558e4910e133ef58f6d0d0f42f3b7a6","observation_id":"edc65456-b103-46e2-ac08-b5f5e3ec9383","resolution":{"observed_at":"2026-08-07T05:18:51.148029Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:50.772599Z","title":null,"venue":null,"work_id":"22f1e451-cad8-47aa-a0ca-306f5007c5af","year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.556067Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:3d94fd841a41f43233d4f0bbb39914d4b74351ea9810b2e8ce6c2c24ab0574c1","observation_id":"f1da185e-959a-44d8-861a-e931fa51b592","resolution":{"observed_at":"2026-08-07T05:18:50.902903Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:50.420844Z","title":null,"venue":null,"work_id":"1445a7bf-ebff-4327-87f7-698288245d99","year":2008},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.649500Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:c72993668332fc9745c44738eb09b6125f8d77fa5a7d3c46626f81d9c742ab63","observation_id":"dd018ac7-2f50-45a7-89c7-512c6027ad37","resolution":{"observed_at":"2026-08-07T05:18:50.608722Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:50.064149Z","title":null,"venue":null,"work_id":"dd18652f-0ac7-46d5-9c2c-c0a3f9a5b8a5","year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.778877Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:1385d2d67faf85fefbd06bd64cabf91d6edd21806eb5753a826b3c340ede1994","observation_id":"9532b971-31ab-418c-a9c7-89890f7d746d","resolution":{"observed_at":"2026-08-07T05:18:50.230839Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:49.713370Z","title":null,"venue":null,"work_id":"57a36bc1-6188-4898-9bde-0a41f618a7ac","year":2018},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:25.896615Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:a6a98582688f90e6e160096c1b5f1ffb994c7946c82e5a2970734431380c26b5","observation_id":"a314b1e4-e524-4d3f-90e3-b792858b875e","resolution":{"observed_at":"2026-08-07T05:18:49.889855Z","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":"2019.88035","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:34.908769Z","title":null,"venue":null,"work_id":"7b9d0987-2f50-4205-8637-a323f0a9ecd1","year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.077422Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:03f825a2b90741ae3389fcd9e30b5288904c1de425368a2999af321ecfb6d101","observation_id":"d3144c52-a24e-49ab-a1d3-15788904dc83","resolution":{"observed_at":"2026-08-07T05:18:34.966036Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":"2026-08-07T05:18:49.384142Z","title":null,"venue":null,"work_id":"e10d9fdb-4caa-4f60-939c-75e390f3fb76","year":2018},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.229480Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:b588b6917b8809f3ada67ddae4fb343121e9ec06bf2cea4ba9f2c802419a06fb","observation_id":"37da335f-d4f4-4a4a-8712-55884c52e2aa","resolution":{"observed_at":"2026-08-07T05:18:49.582881Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:49.001043Z","title":null,"venue":null,"work_id":"2c59fd39-54f6-4fc7-ae43-45586ce0222d","year":2012},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.364976Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:8a51d24ffcb4e056e69c4f7b99ae400c6c87cf715b448aff4f820b79c2804b27","observation_id":"272a88e3-82d5-4124-9ddf-fc029f431482","resolution":{"observed_at":"2026-08-07T05:18:49.196718Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:48.638122Z","title":null,"venue":null,"work_id":"7d9728f6-cd07-48ae-bf55-c642c13061e5","year":2024},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.491785Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:09482a68166199b61218bfdf69ea4e36a041da633d8952321c6e64ee1e2622ba","observation_id":"f5475e19-3a14-407f-9f0c-e964911f2a4f","resolution":{"observed_at":"2026-08-07T05:18:48.809691Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:48.282500Z","title":"Fern ´andez, S","venue":null,"work_id":"e8bf8ce0-8b64-426f-bd9d-f5a06c64840b","year":2018},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.603111Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:5692c7ce26c8a49b89f5d7d0505f8b365304167dc9e53ce1a03a644b85dc3b3a","observation_id":"9782cc36-ba0d-4b2f-a4de-71798ab368f5","resolution":{"observed_at":"2026-08-07T05:18:48.477397Z","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":"2026-08-07T05:18:47.993753Z","title":null,"venue":null,"work_id":"c01193b4-8eb0-45ec-933f-62f48ffcf0e6","year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.788253Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:e743f848584ca9e30bf4ed4a459cb08660068b86eb8e60ea86666a441e0b0083","observation_id":"9e9cc606-5d5f-4c41-8699-617990ea0d70","resolution":{"observed_at":"2026-08-07T05:18:48.136060Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:47.612308Z","title":"Ali-Gombe, E","venue":null,"work_id":"6535c2f4-c128-401f-aa19-520ec7dc319d","year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:26.920300Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:334cce7c45c6dd8c4774cd3cfe1b48d3589a630a3e34df73b730b8d97e9922a7","observation_id":"9ef2cacb-735a-468a-981d-aded3899c7f7","resolution":{"observed_at":"2026-08-07T05:18:47.826599Z","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":{"arxiv_id":"1803.09655","last_updated":"2018-06-05T08:07:30Z","snapshot_observed_at":"2026-07-06T06:30:14.354676Z","submitted_at":"2018-03-26T15:20:56Z","title":"BAGAN: Data Augmentation with Balancing GAN","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.09655","snapshot_observed_at":"2026-08-07T05:18:27.053389Z","title":"Mariani, F","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.053389Z"},"links":{"cited_paper":"/paper/1803.09655","citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:952a0a2cc37e17ac072356a36aa16ee6516c3fa5e29ea9e832a143f0b41aee59","observation_id":"4c1e9803-44ca-4871-b59f-7c81b5b2b942","resolution":{"observed_at":"2026-08-07T05:18:27.053389Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.03235","last_updated":"2022-03-27T08:17:44Z","snapshot_observed_at":"2026-08-05T16:25:10.878223Z","submitted_at":"2021-08-06T06:14:05Z","title":"SMOTified-GAN for class imbalanced pattern classification problems","version":2},"cited_work":{"arxiv_id":"2108.03235","doi":null,"metadata_source":"pith","pith_arxiv_id":"2108.03235","snapshot_observed_at":"2026-08-07T05:18:34.534296Z","title":"SMOTified-GAN for class imbalanced pattern classification problems","venue":"cs.LG","work_id":"3ddf704a-7aa3-4dff-86f3-ed9eddf02a74","year":2021},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.162435Z"},"links":{"cited_paper":"/paper/2108.03235","citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:620a2142b0e247b8b3b162c70f684f97fc163c90938f65b53c8cfdfc4d3f1f39","observation_id":"b11f0112-4d1e-4d12-8850-285aeffaeca0","resolution":{"observed_at":"2026-08-07T05:18:34.634128Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:47.206505Z","title":"Creswell, T","venue":null,"work_id":"80dca049-bd07-435d-9ba2-6333f05033f6","year":2018},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.301072Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:a21eb74d245190bdbfa1e19cf73b74d112a06645e05444dce38c77d5417e4deb","observation_id":"aedc4061-7dff-4173-bc72-985670481938","resolution":{"observed_at":"2026-08-07T05:18:47.383215Z","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":"2026-08-07T05:18:46.831236Z","title":null,"venue":null,"work_id":"0e362e78-446a-4feb-baaf-88554b746c7f","year":2021},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.455000Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:26cbaeca448ddadc3a9f44d2e5fbcb7a8710e3086744a1444e6e24529f78e738","observation_id":"7b05f364-f74d-4fe2-ac1e-495911686a0e","resolution":{"observed_at":"2026-08-07T05:18:46.986073Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:46.582261Z","title":null,"venue":null,"work_id":"57beb495-a4d8-403d-a2a9-4a87f6204e1f","year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.541909Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:be982387c0b3bd9148c32d2081afb77177f03d6092dbc79b350780fc7fd305dd","observation_id":"0e964ece-f206-40d4-bbb3-87ecf7d22615","resolution":{"observed_at":"2026-08-07T05:18:46.637905Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:46.304351Z","title":"Scott, J","venue":null,"work_id":"ec4a0ced-94fa-455c-bce4-99fa20caab67","year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.643182Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:663d93fcaf6258dea427b45dc2e315195d69d10053ab9c6c0be29aafc836f282","observation_id":"683210af-d485-456d-accc-692a88881387","resolution":{"observed_at":"2026-08-07T05:18:46.486224Z","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":"2026-08-07T05:18:46.055753Z","title":null,"venue":null,"work_id":"a35c507f-49da-453a-997c-91722fcc4101","year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.777679Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:0b6efa3c19cfe0428b1e9e3f2e6295a4c873e782f3cb3a9f284beed81322cb21","observation_id":"66b7d110-e0d1-4464-9d25-c7b8a4333a72","resolution":{"observed_at":"2026-08-07T05:18:46.196380Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:45.747053Z","title":null,"venue":null,"work_id":"acbcd6e3-971e-4370-9ada-0b9e09b77531","year":2010},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.871788Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:16fae4a06dbb057cd2b0a273271104d4ab6a1107971ff7cf97e2ef17ab9768ce","observation_id":"c14f2da0-cdc0-4ada-b1b9-f0e94b8ccd54","resolution":{"observed_at":"2026-08-07T05:18:45.883156Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:45.547902Z","title":"Murakami, T","venue":null,"work_id":"d9ddf33b-31e0-4c2f-8902-04b3c651568e","year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:27.929456Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:a8b987523473c08bbd65322cc158d1012767a9fcad8005935b8d56668db29eaa","observation_id":"d5fabd05-6755-4e45-b994-7e9327769c6b","resolution":{"observed_at":"2026-08-07T05:18:45.616600Z","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":"2026-08-07T05:18:45.320765Z","title":"Tauvale, K","venue":null,"work_id":"00c6ab96-2efb-4a70-87a4-c8a635ce8e53","year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.028491Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:6e04eff58d919e2cc6c31cba159bc7496d47f93e4f2761e94394893e09509426","observation_id":"ca4d21ce-4bf4-4bbf-b2fa-074f3ffed721","resolution":{"observed_at":"2026-08-07T05:18:45.433432Z","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":"2026-08-07T05:18:45.072224Z","title":"Magee, D","venue":null,"work_id":"967b721a-f9e3-4030-9641-484b73b56296","year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.085680Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:d8417b9191980d5537449264497dd83a9011c1f90ab9daabf46497d32e8100da","observation_id":"53e0083c-f0fc-44a2-b5b5-5bcd293a17ed","resolution":{"observed_at":"2026-08-07T05:18:45.194776Z","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":"2026-08-07T05:18:44.774136Z","title":null,"venue":null,"work_id":"572c2ae1-8b4a-4bd8-b72b-45522e6aa209","year":2017},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.159612Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:b5932cf5bf9838c841e55a69bdf5228178b4f5e5831b672b045ecc7787809aea","observation_id":"89759ff6-deb8-48de-b36d-a99f2d55a479","resolution":{"observed_at":"2026-08-07T05:18:44.934503Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:44.496090Z","title":"McInnes, J","venue":null,"work_id":"72afd838-9529-4abf-81d8-fb4d7aeb8747","year":2011},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.336554Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:ecccc33a3aa36c0f4b5dd4594c819be274c409a8041a90d14656e8e225e4893c","observation_id":"6e2d9687-3129-4804-9b48-20f64f50a470","resolution":{"observed_at":"2026-08-07T05:18:44.581501Z","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":"2026-08-07T05:18:44.231262Z","title":"KOSTASCHUK, J","venue":null,"work_id":"28e582de-a774-4188-9eea-a122aa90b722","year":2001},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.455892Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:b430d8fb6c382321d766018524b0f9915d5ecbd4a64b2cdd482b268919fc4640","observation_id":"9b8a133e-94a7-4365-9c29-bd8ca576d0ce","resolution":{"observed_at":"2026-08-07T05:18:44.379751Z","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":"2026-08-07T05:18:43.895154Z","title":null,"venue":null,"work_id":"8c546c0f-d7a9-402a-9122-326131ea035d","year":2007},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.542798Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:d77ccf6edf043a34e447891124d7e94c2e6b65b7b319d52eeabd3caef77270bf","observation_id":"30319894-0101-403b-8e10-eb462a9d1fee","resolution":{"observed_at":"2026-08-07T05:18:44.046149Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:43.570468Z","title":"Madsen, F","venue":null,"work_id":"481cf8dc-30cf-4713-bcc1-1e324ded2e70","year":2004},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.680246Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:1db6e61616fbd9003a0f4dcb7e3e6ebebaa1081033f0748d766b4d43ffed24d5","observation_id":"8fd87dd4-b696-45af-8551-648a3d03d323","resolution":{"observed_at":"2026-08-07T05:18:43.721008Z","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":"2026-08-07T05:18:43.346397Z","title":null,"venue":null,"work_id":"02456306-8a68-4012-a73a-525dac4cdef8","year":2009},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.761655Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:788760f15dc5b0281485b238f8fe7146719435c7c609570409d0a050ad94611d","observation_id":"ec865c2e-c2bb-4dce-969e-45221f9f95f3","resolution":{"observed_at":"2026-08-07T05:18:43.402031Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:43.060205Z","title":"Alexander, A magnitude scale for cascading disasters, International journal of disaster risk reduction 30 (2018) 180–185","venue":null,"work_id":"441efcc0-66ac-406c-a12d-237ab2511345","year":2018},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.863766Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:73bd5062918db7248187e2627315457574237d8bddd02237b14237aa3ab01e42","observation_id":"bc769f67-9b3c-4d5a-bab0-23d89d557fac","resolution":{"observed_at":"2026-08-07T05:18:43.208794Z","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":"2026-08-07T05:18:42.849554Z","title":"Munshi, A general linear model for trends in tropical cyclone activity, Available at SSRN 2630932 (2015)","venue":null,"work_id":"e594bb8f-607f-48f3-877b-ce665c622681","year":2015},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:28.941750Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:03e56b6199e16be5ef7a388647491f2ada8560b1a07ff62117aa1fbce332d355","observation_id":"32f799a1-acdc-47a6-a304-cf17304761ac","resolution":{"observed_at":"2026-08-07T05:18:42.906153Z","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":"2026-08-07T05:18:42.568026Z","title":null,"venue":null,"work_id":"fd1c7cd2-b452-475b-96ac-c4c1a86b2f2e","year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.042399Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:f43860f449fc22fbb1cd84cbee44d90f0fe8405ab5787ac11231e7d4efba4520","observation_id":"458d71e5-7475-4810-93f8-91203a2a6743","resolution":{"observed_at":"2026-08-07T05:18:42.769095Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:42.316700Z","title":null,"venue":null,"work_id":"b419e5b8-a38c-4021-8ddc-21fa6673307c","year":1980},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.142836Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:2e098a8dc529f7d044ff420655a28c8a816664b1d594d2a2a6cb0fd2194d00c0","observation_id":"11b12259-b4f0-433a-b866-c2fa3c50ea14","resolution":{"observed_at":"2026-08-07T05:18:42.426049Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:42.059879Z","title":"LeCun, Y","venue":null,"work_id":"3a5a2fa2-95f8-497a-8498-4fd899e82f16","year":2015},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.315837Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:d826247f8dadc7b3bbce69b84ae9771684d0fa54128763d77006aa4c663ad562","observation_id":"271af2c5-2de1-45dd-adac-33b58759ce49","resolution":{"observed_at":"2026-08-07T05:18:42.175385Z","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":"2026-08-07T05:18:41.733771Z","title":null,"venue":null,"work_id":"a95fa472-0a7b-4046-9421-1b51afc6f760","year":2016},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.421173Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:40a84a1d0fb5d92263cd8642ee0c2bd23706ac98a822c3f80d3be98a46b7cdc4","observation_id":"59ea927e-3d85-482c-b6f8-36fbaf335223","resolution":{"observed_at":"2026-08-07T05:18:41.919038Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:41.532243Z","title":"Scher, Toward data-driven weather and climate forecasting: Approxi- mating a simple general circulation model with deep learning, Geophys- ical Research Letters 45 (2018) 12–616","venue":null,"work_id":"7584c3b0-6383-4f09-b1f4-e7f097ba1d7c","year":2018},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.539515Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:a6a6c1fd4f66139a0f25be40f68ab45eed51ad2666556e2fdee9a7fd3f229d35","observation_id":"fe030d8d-99fb-4d4a-874c-4f0d45e7cfb4","resolution":{"observed_at":"2026-08-07T05:18:41.652900Z","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":"2026-08-07T05:18:41.380523Z","title":"Ardabili, A","venue":null,"work_id":"bf72ba6c-9a59-458c-9210-53bcb749c39d","year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.706111Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:782f1ea5b56dc65c4e77968ba943e8db60b8cac6edd42f7cdebd7414e43c7e25","observation_id":"4f9346ca-57f6-4962-b167-c667374f429d","resolution":{"observed_at":"2026-08-07T05:18:41.445673Z","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":"2026-08-07T05:18:41.209652Z","title":null,"venue":null,"work_id":"8027d097-e244-4502-92bb-2d0f6de85c1f","year":2021},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.865407Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:9953f46decee86dec44586fe03f6886463b5baa8b0a1580b28c1b80ad2c4b469","observation_id":"d40058c7-a328-4c8a-9727-1645284813f1","resolution":{"observed_at":"2026-08-07T05:18:41.283276Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:40.942042Z","title":"Roscher, B","venue":null,"work_id":"c9e3d12d-c11a-4749-a8ca-ecabba5ba162","year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:29.971078Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:ecc22827228c96b9928d4b00f7aa67b125c79d89a22876944e4d9cc4c176af86","observation_id":"d25a7ef5-0545-47bb-b3f7-07208ecdfad3","resolution":{"observed_at":"2026-08-07T05:18:41.063362Z","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":"2026-08-07T05:18:30.056141Z","title":null,"venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.056141Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:2f30b454162b1093dfab4babe3d40d87a58ee62609ed4e179f64c1d903318bf7","observation_id":"5ae24db9-fd47-48f0-8198-faf01b171f41","resolution":{"observed_at":"2026-08-07T05:18:30.056141Z","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":"2026-08-07T05:18:40.790928Z","title":null,"venue":null,"work_id":"2061eee6-43fa-4b73-ba45-dd8a5d7f3f64","year":1999},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.150772Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:f79b9745eed004130585817812f66c6ac9d65317f64108e1e7aa7bd84d0f86af","observation_id":"dc94ddbd-9e04-4741-b8ee-421d13cfd938","resolution":{"observed_at":"2026-08-07T05:18:40.846175Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:40.566529Z","title":null,"venue":null,"work_id":"2c6f289a-4272-4c35-a490-3c3cb524433b","year":1990},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.325603Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:7f752cccd66c4857dbdc4f13779b1e8818fed1851101ac21fc2950a32cadb076","observation_id":"61b88b24-3eca-45fc-8cbd-51c9ee4b0a79","resolution":{"observed_at":"2026-08-07T05:18:40.694409Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:40.281289Z","title":"Bengio, P","venue":null,"work_id":"7af0e13e-ed27-46ea-a86f-e21b307f8edb","year":1994},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.418800Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:eda50955cfeee04deb767150adb484f67647299d9b0251ea10aa779eec540da6","observation_id":"4536bd54-9e3c-401d-bbba-bfc8611c89af","resolution":{"observed_at":"2026-08-07T05:18:40.434344Z","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":"2026-08-07T05:18:40.010670Z","title":null,"venue":null,"work_id":"d4a3ecbd-d08a-4e97-b409-0b60842cfeb5","year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.602318Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:1f1fa8c093eb99da97b966dc2a760bd7ca98f9c65f99cf9935901f77b4825871","observation_id":"47279989-433e-40f6-b4a9-d36c7e01951d","resolution":{"observed_at":"2026-08-07T05:18:40.147151Z","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":{"arxiv_id":"1412.7753","last_updated":"2015-04-16T23:37:58Z","snapshot_observed_at":"2026-08-02T03:37:37.993596Z","submitted_at":"2014-12-24T20:58:18Z","title":"Learning Longer Memory in Recurrent Neural Networks","version":2},"cited_work":{"arxiv_id":"1412.7753","doi":null,"metadata_source":"pith","pith_arxiv_id":"1412.7753","snapshot_observed_at":"2026-08-07T05:18:34.267348Z","title":"Learning Longer Memory in Recurrent Neural Networks","venue":"cs.NE","work_id":"700958a6-7dcc-48e5-99cf-2436c20dfa17","year":2014},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.723182Z"},"links":{"cited_paper":"/paper/1412.7753","citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:dc6f8672dc9d0c95faf0eb7599f3c4d258b33a27f077ca1a4de23538a5545fea","observation_id":"9d185f73-cfcf-4b57-b833-a4861cabfed5","resolution":{"observed_at":"2026-08-07T05:18:34.384565Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:39.768854Z","title":"Van Houdt, C","venue":null,"work_id":"2d46c34b-3abf-495b-a5ea-ce2ef0db0e1c","year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.832947Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:d92b02451a443ef29b24482badfb612952ece649b052d5844806261fcba844b5","observation_id":"1f7b281e-0a37-411b-a370-324d207dd9ab","resolution":{"observed_at":"2026-08-07T05:18:39.906638Z","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":{"arxiv_id":"1808.06865","last_updated":"2018-08-21T12:17:08Z","snapshot_observed_at":"2026-08-08T23:17:34.904175Z","submitted_at":"2018-08-21T12:17:08Z","title":"Machine Learning for Spatiotemporal Sequence Forecasting: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.06865","snapshot_observed_at":"2026-08-07T05:18:30.909377Z","title":"Shi, D.-Y","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.909377Z"},"links":{"cited_paper":"/paper/1808.06865","citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:c0660fd4f0dc05b68f69edd0c0508ad62279bc961aba198badd80184b0f71083","observation_id":"fba090e8-442b-45ad-a840-8f2b9eb1bbe9","resolution":{"observed_at":"2026-08-07T05:18:30.909377Z","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":"2026-08-07T05:18:39.527563Z","title":null,"venue":null,"work_id":"1ff4fcf8-2aa4-4bdd-b355-ff9ad0702b96","year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:30.995790Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:7b29ff45192a18d2914a612db179a237f35622e6935499e993555b074d6b86a7","observation_id":"dcd10711-dee1-4750-9bfc-8010f1f702a5","resolution":{"observed_at":"2026-08-07T05:18:39.612398Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:39.288212Z","title":null,"venue":null,"work_id":"10842719-df4d-4809-ba39-f935093f2e86","year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.132052Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:59c82140e2004fd66660d5bad699dda36ef46a1f6b529fb494eaebf8fd880011","observation_id":"a89b053e-7de4-4461-827a-85933b418412","resolution":{"observed_at":"2026-08-07T05:18:39.419260Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:39.012988Z","title":null,"venue":null,"work_id":"07c9e3d7-7186-49b4-b0a3-ad5c37356703","year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.246276Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:c864e6ff2f8443d63acdae0ad7805490f09ef3d46c433c65f0029f3426c83e63","observation_id":"56508381-804f-441d-861c-ffec0d202b5f","resolution":{"observed_at":"2026-08-07T05:18:39.137813Z","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":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:18:38.863223Z","title":"Agrawal, D","venue":null,"work_id":"4f8e81eb-51aa-4b6b-bb78-a2912593d48d","year":2021},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.389111Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:c24d56c8cd2c2e0792006233718fd1dc155d88c7cc871a9168a3003634d0d455","observation_id":"160fdc37-a24a-4813-966b-587c2d0ac34e","resolution":{"observed_at":"2026-08-07T05:18:38.920847Z","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":"2026-08-07T05:18:38.570075Z","title":"Chandra, S","venue":null,"work_id":"956b4323-49b4-4f9b-bff0-630727cdaae1","year":2021},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.489422Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:e40797014b003e6249d661f0ce9da84043af5efadb63b41e32955df3390eae16","observation_id":"4a7d23e9-640e-4d43-a26e-d9304e9d0cce","resolution":{"observed_at":"2026-08-07T05:18:38.696205Z","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":"2026-08-07T05:18:38.288292Z","title":"Shorten, T","venue":null,"work_id":"16e7dd61-44d4-4d76-bef5-f138cf38bac3","year":2021},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.637406Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:281b7d7860384db31d48380d355aa274c0786637804ba1cd248cdc6de35320aa","observation_id":"3d7ef4c9-ca0c-4aac-85ce-a7df5f3c37cf","resolution":{"observed_at":"2026-08-07T05:18:38.469401Z","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":"2026-08-07T05:18:38.097875Z","title":"Shorten, T","venue":null,"work_id":"b864b7e7-ea7b-4d5d-956b-53b9b43188bc","year":2019},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.710349Z"},"links":{"citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:db6fb70dbef79e439a529014bbe93b1ec85c39fe9aefcfb2a6079a5de7938eac","observation_id":"1272288d-84c7-427d-ba9f-6f4ca5201f4c","resolution":{"observed_at":"2026-08-07T05:18:38.147860Z","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":{"arxiv_id":"2002.12478","last_updated":"2022-03-31T18:22:00Z","snapshot_observed_at":"2026-07-06T09:00:46.442419Z","submitted_at":"2020-02-27T23:38:11Z","title":"Time Series Data Augmentation for Deep Learning: A Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.12478","snapshot_observed_at":"2026-08-07T05:18:31.849965Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.849965Z"},"links":{"cited_paper":"/paper/2002.12478","citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:8afc023b0edc810c1264c245e8cd23130639aa1c2c4bf0c81ada736f2997b3c1","observation_id":"7ce23236-dd3d-4cf4-a6db-e0d28d98a2db","resolution":{"observed_at":"2026-08-07T05:18:31.849965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-07T05:18:31.992918Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-07T05:18:31.992918Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2506.08397"},"observation_digest":"sha256:0249d745e25807e39bd4f2431dc7f5542a176e6a41432204038ce7d7dc4b44bd","observation_id":"c8ba64c9-05a0-4e0b-818b-3f1c97433a99","resolution":{"observed_at":"2026-08-07T05:18:31.992918Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.08397","last_updated":"2025-06-10T03:13:02Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T05:09:49.422188Z","submitted_at":"2025-06-10T03:13:02Z","title":"Spatiotemporal deep learning models for detection of rapid intensification in cyclones"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":67,"verified_exact":3,"verified_fuzzy":27},"total_outbound_references":112},"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 10 August 2026, this Paper Citation Record lists 100 of 112 outbound references and 0 inbound Pith citation observations for arXiv:2506.08397."}