{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:K4TAK7ZPGLEWO7STCFJNLB4RJJ","short_pith_number":"pith:K4TAK7ZP","canonical_record":{"source":{"id":"2306.12873","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2023-06-22T13:34:26Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"a1b0efab267728aafff18b079fb31e7e815cff9daa14fdae539ab08a4f25c964","abstract_canon_sha256":"c3912a2a8a8113ea15b32aa2e969ca2a3855271bd802b9a81c4acea9ec72d6bf"},"schema_version":"1.0"},"canonical_sha256":"5726057f2f32c9677e531152d587914a72b6ae565b98cff0f43edac29b86bb44","source":{"kind":"arxiv","id":"2306.12873","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.12873","created_at":"2026-07-05T07:02:51Z"},{"alias_kind":"arxiv_version","alias_value":"2306.12873v3","created_at":"2026-07-05T07:02:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.12873","created_at":"2026-07-05T07:02:51Z"},{"alias_kind":"pith_short_12","alias_value":"K4TAK7ZPGLEW","created_at":"2026-07-05T07:02:51Z"},{"alias_kind":"pith_short_16","alias_value":"K4TAK7ZPGLEWO7ST","created_at":"2026-07-05T07:02:51Z"},{"alias_kind":"pith_short_8","alias_value":"K4TAK7ZP","created_at":"2026-07-05T07:02:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:K4TAK7ZPGLEWO7STCFJNLB4RJJ","target":"record","payload":{"canonical_record":{"source":{"id":"2306.12873","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2023-06-22T13:34:26Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"a1b0efab267728aafff18b079fb31e7e815cff9daa14fdae539ab08a4f25c964","abstract_canon_sha256":"c3912a2a8a8113ea15b32aa2e969ca2a3855271bd802b9a81c4acea9ec72d6bf"},"schema_version":"1.0"},"canonical_sha256":"5726057f2f32c9677e531152d587914a72b6ae565b98cff0f43edac29b86bb44","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:02:51.540913Z","signature_b64":"vqPLwRMcJBA4fZQkrBHCTFp3/LFxDnRQl0nx3e1mrSisYtg1iKVTogkaKyE2x3ZIWpIv6vLyd9cBU86isDTRDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5726057f2f32c9677e531152d587914a72b6ae565b98cff0f43edac29b86bb44","last_reissued_at":"2026-07-05T07:02:51.540450Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:02:51.540450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.12873","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:02:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N/qoiLbOcEBhCAz1R3NmNHXPzH+s52wqFpq55xv3CZv0NGg+bgoxYUmhcXFNqD9o4GAVwx06IeOK/xTPRyriDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T07:08:07.554760Z"},"content_sha256":"fc9f8ead671992c5aa8c8bdec415598ece842b7bafed751c4fb61d6c811afeda","schema_version":"1.0","event_id":"sha256:fc9f8ead671992c5aa8c8bdec415598ece842b7bafed751c4fb61d6c811afeda"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:K4TAK7ZPGLEWO7STCFJNLB4RJJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FuXi: A cascade machine learning forecasting system for 15-day global weather forecast","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"physics.ao-ph","authors_text":"Feng Zhang, Hao Li, Lei Chen, Xiaohui Zhong, Yinghui Xu, Yuan Cheng, Yuan Qi","submitted_at":"2023-06-22T13:34:26Z","abstract_excerpt":"Over the past few years, due to the rapid development of machine learning (ML) models for weather forecasting, state-of-the-art ML models have shown superior performance compared to the European Centre for Medium-Range Weather Forecasts (ECMWF)'s high-resolution forecast (HRES) in 10-day forecasts at a spatial resolution of 0.25 degree. However, the challenge remains to perform comparably to the ECMWF ensemble mean (EM) in 15-day forecasts. Previous studies have demonstrated the importance of mitigating the accumulation of forecast errors for effective long-term forecasts. Despite numerous eff"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.12873","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2306.12873/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:02:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dBv/Ukx8Y8N8YpLfRcf5q41SDOmfaC+/J8L9v5CwRQS53+8iwevT21Mf2riuT3TtO5Wi9VJd4BBy4vem8BFODg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T07:08:07.555431Z"},"content_sha256":"d251f767c727b2d9a899fe329ea6e332368555d93b13e7c2300889ed0405a94f","schema_version":"1.0","event_id":"sha256:d251f767c727b2d9a899fe329ea6e332368555d93b13e7c2300889ed0405a94f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K4TAK7ZPGLEWO7STCFJNLB4RJJ/bundle.json","state_url":"https://pith.science/pith/K4TAK7ZPGLEWO7STCFJNLB4RJJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K4TAK7ZPGLEWO7STCFJNLB4RJJ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T07:08:07Z","links":{"resolver":"https://pith.science/pith/K4TAK7ZPGLEWO7STCFJNLB4RJJ","bundle":"https://pith.science/pith/K4TAK7ZPGLEWO7STCFJNLB4RJJ/bundle.json","state":"https://pith.science/pith/K4TAK7ZPGLEWO7STCFJNLB4RJJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K4TAK7ZPGLEWO7STCFJNLB4RJJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:K4TAK7ZPGLEWO7STCFJNLB4RJJ","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":"c3912a2a8a8113ea15b32aa2e969ca2a3855271bd802b9a81c4acea9ec72d6bf","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2023-06-22T13:34:26Z","title_canon_sha256":"a1b0efab267728aafff18b079fb31e7e815cff9daa14fdae539ab08a4f25c964"},"schema_version":"1.0","source":{"id":"2306.12873","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.12873","created_at":"2026-07-05T07:02:51Z"},{"alias_kind":"arxiv_version","alias_value":"2306.12873v3","created_at":"2026-07-05T07:02:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.12873","created_at":"2026-07-05T07:02:51Z"},{"alias_kind":"pith_short_12","alias_value":"K4TAK7ZPGLEW","created_at":"2026-07-05T07:02:51Z"},{"alias_kind":"pith_short_16","alias_value":"K4TAK7ZPGLEWO7ST","created_at":"2026-07-05T07:02:51Z"},{"alias_kind":"pith_short_8","alias_value":"K4TAK7ZP","created_at":"2026-07-05T07:02:51Z"}],"graph_snapshots":[{"event_id":"sha256:d251f767c727b2d9a899fe329ea6e332368555d93b13e7c2300889ed0405a94f","target":"graph","created_at":"2026-07-05T07:02:51Z","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/2306.12873/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Over the past few years, due to the rapid development of machine learning (ML) models for weather forecasting, state-of-the-art ML models have shown superior performance compared to the European Centre for Medium-Range Weather Forecasts (ECMWF)'s high-resolution forecast (HRES) in 10-day forecasts at a spatial resolution of 0.25 degree. However, the challenge remains to perform comparably to the ECMWF ensemble mean (EM) in 15-day forecasts. Previous studies have demonstrated the importance of mitigating the accumulation of forecast errors for effective long-term forecasts. Despite numerous eff","authors_text":"Feng Zhang, Hao Li, Lei Chen, Xiaohui Zhong, Yinghui Xu, Yuan Cheng, Yuan Qi","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2023-06-22T13:34:26Z","title":"FuXi: A cascade machine learning forecasting system for 15-day global weather forecast"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.12873","kind":"arxiv","version":3},"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:fc9f8ead671992c5aa8c8bdec415598ece842b7bafed751c4fb61d6c811afeda","target":"record","created_at":"2026-07-05T07:02:51Z","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":"c3912a2a8a8113ea15b32aa2e969ca2a3855271bd802b9a81c4acea9ec72d6bf","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.ao-ph","submitted_at":"2023-06-22T13:34:26Z","title_canon_sha256":"a1b0efab267728aafff18b079fb31e7e815cff9daa14fdae539ab08a4f25c964"},"schema_version":"1.0","source":{"id":"2306.12873","kind":"arxiv","version":3}},"canonical_sha256":"5726057f2f32c9677e531152d587914a72b6ae565b98cff0f43edac29b86bb44","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5726057f2f32c9677e531152d587914a72b6ae565b98cff0f43edac29b86bb44","first_computed_at":"2026-07-05T07:02:51.540450Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:02:51.540450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vqPLwRMcJBA4fZQkrBHCTFp3/LFxDnRQl0nx3e1mrSisYtg1iKVTogkaKyE2x3ZIWpIv6vLyd9cBU86isDTRDA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:02:51.540913Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.12873","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fc9f8ead671992c5aa8c8bdec415598ece842b7bafed751c4fb61d6c811afeda","sha256:d251f767c727b2d9a899fe329ea6e332368555d93b13e7c2300889ed0405a94f"],"state_sha256":"13e7393445a8e01a3116ddf0d7191c86c9b44ddf0f1a2f06db9c96ae60ffbd31"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m1phS/x4ogDE+OZ2uLcTcSvgO2AgM9vXKNhasPe773ZVpMTMSBE715iUlPF0DWkv4qvGa/Pzk71CGkJ+r7MSCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T07:08:07.559337Z","bundle_sha256":"a594e4eef6f64f82104def38ef312ae3c5d2f9cad0ef93d79386dace282b00bd"}}