{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KJ7MF55SF7PAMXYJZEQYR3LOCG","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":"e7c89225c97db59f944d6c4d735290badacf78f681711aa9097e8afb9df90d93","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2024-04-20T23:39:55Z","title_canon_sha256":"0cec4361af331ab50adff539c2b9f0bb4d039d5fbdef600c606e17e08dde8f3d"},"schema_version":"1.0","source":{"id":"2404.13487","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.13487","created_at":"2026-07-05T08:54:11Z"},{"alias_kind":"arxiv_version","alias_value":"2404.13487v1","created_at":"2026-07-05T08:54:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.13487","created_at":"2026-07-05T08:54:11Z"},{"alias_kind":"pith_short_12","alias_value":"KJ7MF55SF7PA","created_at":"2026-07-05T08:54:11Z"},{"alias_kind":"pith_short_16","alias_value":"KJ7MF55SF7PAMXYJ","created_at":"2026-07-05T08:54:11Z"},{"alias_kind":"pith_short_8","alias_value":"KJ7MF55S","created_at":"2026-07-05T08:54:11Z"}],"graph_snapshots":[{"event_id":"sha256:1844134fbe3ecefe53754875272901d39847381a377c4833117e89f6cf196b9b","target":"graph","created_at":"2026-07-05T08:54:11Z","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/2404.13487/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many post-processing methods improve forecasts at individual locations but remove their correlation structure, which is crucial for predicting larger-scale events like total precipitation amount over areas such as river catchments that are relevant for weather warnings and flood predictions. We propose a method to reintroduce spatial correlation into a post-processed forecast using an R-vine copula fitted to historical observations. This method works similarly to related approaches like the Schaake shuffle and ensemble copula coupling, i.e., by rearranging predictions at individual locations a","authors_text":"(2) Deutscher Wetterdienst), Martin Rempel (2), Peter Schaumann (1), Ulm University, Ulrich Blahak (2), Volker Schmidt (1) ((1) Institute of Stochastics","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2024-04-20T23:39:55Z","title":"Generating Synthetic Rainfall Fields by R-vine Copulas Applied to Seamless Probabilistic Predictions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.13487","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":"sha256:0dc54227c2d7ab9fde684e4b98541c54d9539406791f178109a3ecb99cedafc7","target":"record","created_at":"2026-07-05T08:54:11Z","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":"e7c89225c97db59f944d6c4d735290badacf78f681711aa9097e8afb9df90d93","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2024-04-20T23:39:55Z","title_canon_sha256":"0cec4361af331ab50adff539c2b9f0bb4d039d5fbdef600c606e17e08dde8f3d"},"schema_version":"1.0","source":{"id":"2404.13487","kind":"arxiv","version":1}},"canonical_sha256":"527ec2f7b22fde065f09c92188ed6e11a68782429ed3d5ce0d15a64dbdaaa233","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"527ec2f7b22fde065f09c92188ed6e11a68782429ed3d5ce0d15a64dbdaaa233","first_computed_at":"2026-07-05T08:54:11.928439Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:11.928439Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wrHmQ+lM+H2L7tPTXHneRdRUcSSLbrCpzt1Lzl0u0bKpx8JBBdz7WeR37H8Tl1Z03tJRUdAZMRgtK6P+zDG6Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:11.928906Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.13487","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0dc54227c2d7ab9fde684e4b98541c54d9539406791f178109a3ecb99cedafc7","sha256:1844134fbe3ecefe53754875272901d39847381a377c4833117e89f6cf196b9b"],"state_sha256":"bfe884f9517036e1169127463e2450f772bf03a35f7d0717ecd54d9fd566b129"}