{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AVAVGA2XJYREHLTMLVLAWSAKMV","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":"b1a4ae473782e3acfcb4f000cbaff8e0e408965dd046036ba4720e766083085c","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ao-ph","submitted_at":"2022-11-03T17:19:43Z","title_canon_sha256":"ae3280a65729b9ab9c9523d77920d7d0b971252f948fca16e8597d93f15c8f4f"},"schema_version":"1.0","source":{"id":"2211.02556","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.02556","created_at":"2026-07-05T05:13:16Z"},{"alias_kind":"arxiv_version","alias_value":"2211.02556v1","created_at":"2026-07-05T05:13:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.02556","created_at":"2026-07-05T05:13:16Z"},{"alias_kind":"pith_short_12","alias_value":"AVAVGA2XJYRE","created_at":"2026-07-05T05:13:16Z"},{"alias_kind":"pith_short_16","alias_value":"AVAVGA2XJYREHLTM","created_at":"2026-07-05T05:13:16Z"},{"alias_kind":"pith_short_8","alias_value":"AVAVGA2X","created_at":"2026-07-05T05:13:16Z"}],"graph_snapshots":[{"event_id":"sha256:c1196461c2efa50361a4391964cce18f8d0062e0a3daad8000e5d605fb2120bd","target":"graph","created_at":"2026-07-05T05:13:16Z","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/2211.02556/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present Pangu-Weather, a deep learning based system for fast and accurate global weather forecast. For this purpose, we establish a data-driven environment by downloading $43$ years of hourly global weather data from the 5th generation of ECMWF reanalysis (ERA5) data and train a few deep neural networks with about $256$ million parameters in total. The spatial resolution of forecast is $0.25^\\circ\\times0.25^\\circ$, comparable to the ECMWF Integrated Forecast Systems (IFS). More importantly, for the first time, an AI-based method outperforms state-of-the-art numerical weather ","authors_text":"Hengheng Zhang, Kaifeng Bi, Lingxi Xie, Qi Tian, Xiaotao Gu, Xin Chen","cross_cats":["cs.AI","cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ao-ph","submitted_at":"2022-11-03T17:19:43Z","title":"Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.02556","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:b6015da67ebfef7d85a66b2756e9514586223430988bea4e14fb9150e38fd349","target":"record","created_at":"2026-07-05T05:13:16Z","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":"b1a4ae473782e3acfcb4f000cbaff8e0e408965dd046036ba4720e766083085c","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ao-ph","submitted_at":"2022-11-03T17:19:43Z","title_canon_sha256":"ae3280a65729b9ab9c9523d77920d7d0b971252f948fca16e8597d93f15c8f4f"},"schema_version":"1.0","source":{"id":"2211.02556","kind":"arxiv","version":1}},"canonical_sha256":"05415303574e2243ae6c5d560b480a656bd9082a72e1bbc53a4de5315b4b6fd9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"05415303574e2243ae6c5d560b480a656bd9082a72e1bbc53a4de5315b4b6fd9","first_computed_at":"2026-07-05T05:13:16.573446Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:13:16.573446Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SSfW2XixmpvoL7C58Fkx8BWVmd1yGws5f8FGUIOEA+FHAIHXZb5GSbQff4p1C14XL5nHhLcg5J7nPQcP+HOWAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:13:16.573924Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.02556","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b6015da67ebfef7d85a66b2756e9514586223430988bea4e14fb9150e38fd349","sha256:c1196461c2efa50361a4391964cce18f8d0062e0a3daad8000e5d605fb2120bd"],"state_sha256":"76d8f33f217e008f84c3a0eef44aae18f644ba39001bae7289e7c32e904774b9"}