{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TJLGCI7YV6CC6JGWLXIONOF25U","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7e700f4bc725eddf94becb98705363686e18c8b3859f8fd6398400e722cbe012","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T14:25:39Z","title_canon_sha256":"b73833eee25b8c4c0bce8efe3bce6bfe5a28e9bfe8151f0c5938662a9999e21b"},"schema_version":"1.0","source":{"id":"2411.16421","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.16421","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"arxiv_version","alias_value":"2411.16421v1","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.16421","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"pith_short_12","alias_value":"TJLGCI7YV6CC","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"pith_short_16","alias_value":"TJLGCI7YV6CC6JGW","created_at":"2026-07-05T09:40:09Z"},{"alias_kind":"pith_short_8","alias_value":"TJLGCI7Y","created_at":"2026-07-05T09:40:09Z"}],"graph_snapshots":[{"event_id":"sha256:63ec4937b2cdbac776eb5d0c2ff92e667d8be559eafe55e2478e32773f4b158c","target":"graph","created_at":"2026-07-05T09:40:09Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2411.16421/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents the Digital Typhoon Dataset V2, a new version of the longest typhoon satellite image dataset for 40+ years aimed at benchmarking machine learning models for long-term spatio-temporal data. The new addition in Dataset V2 is tropical cyclone data from the southern hemisphere, in addition to the northern hemisphere data in Dataset V1. Having data from two hemispheres allows us to ask new research questions about regional differences across basins and hemispheres. We also discuss new developments in representations and tasks of the dataset. We first introduce a self-supervised ","authors_text":"Asanobu Kitamoto, Erwan Dzik, Gaspar Faure","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T14:25:39Z","title":"Machine Learning for the Digital Typhoon Dataset: Extensions to Multiple Basins and New Developments in Representations and Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.16421","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:fcb596cca130a661f726a8cb13832ab405981a91b84560a5a4588ed1d127539e","target":"record","created_at":"2026-07-05T09:40:09Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"7e700f4bc725eddf94becb98705363686e18c8b3859f8fd6398400e722cbe012","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-25T14:25:39Z","title_canon_sha256":"b73833eee25b8c4c0bce8efe3bce6bfe5a28e9bfe8151f0c5938662a9999e21b"},"schema_version":"1.0","source":{"id":"2411.16421","kind":"arxiv","version":1}},"canonical_sha256":"9a566123f8af842f24d65dd0e6b8baed13c85ca7ecfbcb1899f41f9cd2166694","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a566123f8af842f24d65dd0e6b8baed13c85ca7ecfbcb1899f41f9cd2166694","first_computed_at":"2026-07-05T09:40:09.117850Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:09.117850Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SgyhfhmdPc89XZTHp4g9D6OSSxbdmxGdN0w9n0BhuhgzToZhabvuloDVzkeMXSTKTWDy4Sip4QvThXdqFvBZAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:09.118373Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.16421","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fcb596cca130a661f726a8cb13832ab405981a91b84560a5a4588ed1d127539e","sha256:63ec4937b2cdbac776eb5d0c2ff92e667d8be559eafe55e2478e32773f4b158c"],"state_sha256":"4cbf3233e33ba43063d528f9b33f70c54a0ff1bb263e5ca4d584713d16b2e3ab"}