{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:UBTY5LJS43RO6VIPLB3OIWCMVR","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":"b91f5323adef1daa0718f0d392df557fa6621fbe9024a9435a70bd457696e73e","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2020-12-17T18:42:48Z","title_canon_sha256":"d46268ae6fc28cd113673144e395e4e6b1175b2decd97d51fba124cbb93ce5d5"},"schema_version":"1.0","source":{"id":"2012.09821","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.09821","created_at":"2026-07-05T02:18:19Z"},{"alias_kind":"arxiv_version","alias_value":"2012.09821v2","created_at":"2026-07-05T02:18:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.09821","created_at":"2026-07-05T02:18:19Z"},{"alias_kind":"pith_short_12","alias_value":"UBTY5LJS43RO","created_at":"2026-07-05T02:18:19Z"},{"alias_kind":"pith_short_16","alias_value":"UBTY5LJS43RO6VIP","created_at":"2026-07-05T02:18:19Z"},{"alias_kind":"pith_short_8","alias_value":"UBTY5LJS","created_at":"2026-07-05T02:18:19Z"}],"graph_snapshots":[{"event_id":"sha256:43e1f297a282ddddd85ea943aba3ad966707d89b8d228eeee046e0db96b0a070","target":"graph","created_at":"2026-07-05T02:18:19Z","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/2012.09821/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The accurate prediction of precipitation is important to allow for reliable warnings of flood or drought risk in a changing climate. However, to make trust-worthy predictions of precipitation, at a local scale, is one of the most difficult challenges for today's weather and climate models. This is because important features, such as individual clouds and high-resolution topography, cannot be resolved explicitly within simulations due to the significant computational cost of high-resolution simulations. Climate models are typically run at $\\sim$50-100 km resolution which is insufficient to repr","authors_text":"Peter Dueben, Peter Watson, Ritabrata Dutta, Sherman Lo","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2020-12-17T18:42:48Z","title":"High-resolution Probabilistic Precipitation Prediction for use in Climate Simulations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.09821","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":"sha256:5963028bbbba8e240c32fb8c1cd035540489df2a3a8a8196e6ab4f309861c50b","target":"record","created_at":"2026-07-05T02:18:19Z","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":"b91f5323adef1daa0718f0d392df557fa6621fbe9024a9435a70bd457696e73e","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2020-12-17T18:42:48Z","title_canon_sha256":"d46268ae6fc28cd113673144e395e4e6b1175b2decd97d51fba124cbb93ce5d5"},"schema_version":"1.0","source":{"id":"2012.09821","kind":"arxiv","version":2}},"canonical_sha256":"a0678ead32e6e2ef550f5876e4584cac5dc578b8f197f24d21195bb2f5efb65a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a0678ead32e6e2ef550f5876e4584cac5dc578b8f197f24d21195bb2f5efb65a","first_computed_at":"2026-07-05T02:18:19.724792Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:18:19.724792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LUkAI7Tv6v38DD+r/TCO69fuL4U8I+yeT2/iC+6fMf2CkVHpW57s/cMpr7/8JGvgSbCF0SxmXFIoQUOb7gExAA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:18:19.725340Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.09821","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5963028bbbba8e240c32fb8c1cd035540489df2a3a8a8196e6ab4f309861c50b","sha256:43e1f297a282ddddd85ea943aba3ad966707d89b8d228eeee046e0db96b0a070"],"state_sha256":"38d1c36a6b435d00563daee7d4d237b9d41c9d5a3655dc5e4e483ed0f56cc618"}