{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FHXTAMTP4ELANTANCSVMOA2KVZ","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":"9633ae31f367aa19f48688c92fcff521d6bd0c1f46101d2805f6c0989b883003","cross_cats_sorted":["cs.NE","physics.ao-ph","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-04-11T19:55:55Z","title_canon_sha256":"7cd92b21c4f8ff700efac0531332f1a04fb887943b7a69b19b64acddb4735cc3"},"schema_version":"1.0","source":{"id":"2104.05089","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.05089","created_at":"2026-07-05T02:41:50Z"},{"alias_kind":"arxiv_version","alias_value":"2104.05089v2","created_at":"2026-07-05T02:41:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.05089","created_at":"2026-07-05T02:41:50Z"},{"alias_kind":"pith_short_12","alias_value":"FHXTAMTP4ELA","created_at":"2026-07-05T02:41:50Z"},{"alias_kind":"pith_short_16","alias_value":"FHXTAMTP4ELANTAN","created_at":"2026-07-05T02:41:50Z"},{"alias_kind":"pith_short_8","alias_value":"FHXTAMTP","created_at":"2026-07-05T02:41:50Z"}],"graph_snapshots":[{"event_id":"sha256:ad3f07886b69505e046cbb6452cd08751567aebcd95b18df80412e1aab0e6f89","target":"graph","created_at":"2026-07-05T02:41:50Z","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/2104.05089/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning-based models have recently outperformed state-of-the-art seasonal forecasting models, such as for predicting El Ni\\~no-Southern Oscillation (ENSO). However, current deep learning models are based on convolutional neural networks which are difficult to interpret and can fail to model large-scale atmospheric patterns. In comparison, graph neural networks (GNNs) are capable of modeling large-scale spatial dependencies and are more interpretable due to the explicit modeling of information flow through edge connections. We propose the first application of graph neural networks to seas","authors_text":"Arthur Fender C. Bucker, Bj\\\"orn L\\\"utjens, Emma Erickson, Ernest Pokropek, Salomey Osei, Salva R\\\"uhling Cachay, Suyash Bire, Willa Potosnak","cross_cats":["cs.NE","physics.ao-ph","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-04-11T19:55:55Z","title":"The World as a Graph: Improving El Ni\\~no Forecasts with Graph Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.05089","kind":"arxiv","version":2},"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":"sha256:544557d811a5d1744753cc94d0e143b9ce7c09fbbba9e7e7e9cf4156a1135a97","target":"record","created_at":"2026-07-05T02:41:50Z","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":"9633ae31f367aa19f48688c92fcff521d6bd0c1f46101d2805f6c0989b883003","cross_cats_sorted":["cs.NE","physics.ao-ph","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-04-11T19:55:55Z","title_canon_sha256":"7cd92b21c4f8ff700efac0531332f1a04fb887943b7a69b19b64acddb4735cc3"},"schema_version":"1.0","source":{"id":"2104.05089","kind":"arxiv","version":2}},"canonical_sha256":"29ef30326fe11606cc0d14aac7034aae5b3c85cd07d41b0acee6c1fb130d797d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"29ef30326fe11606cc0d14aac7034aae5b3c85cd07d41b0acee6c1fb130d797d","first_computed_at":"2026-07-05T02:41:50.807639Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:41:50.807639Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M6nIKOXFcRj3nC69mQoX98cxyYUf4UtlfinQPtO0gQTUM7lxJZoE8qKHzSwmMHRN55k4N2CaJOYCZoM9j5XWCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:41:50.808093Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.05089","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:544557d811a5d1744753cc94d0e143b9ce7c09fbbba9e7e7e9cf4156a1135a97","sha256:ad3f07886b69505e046cbb6452cd08751567aebcd95b18df80412e1aab0e6f89"],"state_sha256":"e08df9fe870d01f483474edbafd08adb47a5cce35e5d4e92415f4177afb9c747"}