{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:AFJG4CQQP7VR2K6BZMOVFMQSD5","short_pith_number":"pith:AFJG4CQQ","canonical_record":{"source":{"id":"1701.06455","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-01-23T15:33:13Z","cross_cats_sorted":[],"title_canon_sha256":"e32c2d6c14958a80c37b8441dbb57d86f3d67bfaa06188737732e549403ecd31","abstract_canon_sha256":"88058fc51240c41f5501d59780a870d523ada2c2cb15c2d49322c92a6564ecfa"},"schema_version":"1.0"},"canonical_sha256":"01526e0a107feb1d2bc1cb1d52b2121f52a1910ab51d0dc88fa9bdad9d445562","source":{"kind":"arxiv","id":"1701.06455","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.06455","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"arxiv_version","alias_value":"1701.06455v2","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.06455","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"pith_short_12","alias_value":"AFJG4CQQP7VR","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"AFJG4CQQP7VR2K6B","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"AFJG4CQQ","created_at":"2026-05-18T12:31:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:AFJG4CQQP7VR2K6BZMOVFMQSD5","target":"record","payload":{"canonical_record":{"source":{"id":"1701.06455","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-01-23T15:33:13Z","cross_cats_sorted":[],"title_canon_sha256":"e32c2d6c14958a80c37b8441dbb57d86f3d67bfaa06188737732e549403ecd31","abstract_canon_sha256":"88058fc51240c41f5501d59780a870d523ada2c2cb15c2d49322c92a6564ecfa"},"schema_version":"1.0"},"canonical_sha256":"01526e0a107feb1d2bc1cb1d52b2121f52a1910ab51d0dc88fa9bdad9d445562","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:52:07.768091Z","signature_b64":"knbup87wXiT+i93qRGR22dhPOFuZlF45gBJYCaldfAVsxg8fxlOwTD5fqO+0VwcL6Z9UOs5WeWa6eH2rGusMBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"01526e0a107feb1d2bc1cb1d52b2121f52a1910ab51d0dc88fa9bdad9d445562","last_reissued_at":"2026-05-18T00:52:07.767415Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:52:07.767415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1701.06455","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:52:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rzs8ixkUmcKqPIIhvP9QhgoXcifWp33dehhCHM3E5NzIqu4V1XqetOf1IBk7+CzLkOuQ5lbgWEp+xzNoo25xDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:30:04.209970Z"},"content_sha256":"4d08429bc38cd21604955325dd4fc63bd0d74257c3f2cbdaec3f9c814ba85782","schema_version":"1.0","event_id":"sha256:4d08429bc38cd21604955325dd4fc63bd0d74257c3f2cbdaec3f9c814ba85782"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:AFJG4CQQP7VR2K6BZMOVFMQSD5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dealing with seasonal variability and inter-site dependence in regional flood frequency analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Friederike Deiters, Paul Kinsvater, Roland Fried","submitted_at":"2017-01-23T15:33:13Z","abstract_excerpt":"This paper considers the regional estimation of high quantiles of annual maximal river flow distributions $F$, an important problem from flood frequency analysis. Even though this particular problem has been addressed by many papers, less attention has been payed to incorporating seasonal variability and spatial dependence into the methods. We are going to discuss two regional estimators of high quantiles of local distributions $F$ that are able to deal with these important features, namely, a parametric approach based on so-called two-component extreme value distributions and a semi-parametri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.06455","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:52:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oTL8qg7wSkI1Gxj/zAUihAH8RLKJYNEKlfgfYKqSfBhAttioGfI1Y/tCrrZ6huaUBvDpRkwz2HYCUeBXFq6iBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:30:04.210305Z"},"content_sha256":"23319f29ec97a8672bf53824cc3f760e41b59bd59dca907fef93b7731440c143","schema_version":"1.0","event_id":"sha256:23319f29ec97a8672bf53824cc3f760e41b59bd59dca907fef93b7731440c143"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AFJG4CQQP7VR2K6BZMOVFMQSD5/bundle.json","state_url":"https://pith.science/pith/AFJG4CQQP7VR2K6BZMOVFMQSD5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AFJG4CQQP7VR2K6BZMOVFMQSD5/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":"2026-05-28T06:30:04Z","links":{"resolver":"https://pith.science/pith/AFJG4CQQP7VR2K6BZMOVFMQSD5","bundle":"https://pith.science/pith/AFJG4CQQP7VR2K6BZMOVFMQSD5/bundle.json","state":"https://pith.science/pith/AFJG4CQQP7VR2K6BZMOVFMQSD5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AFJG4CQQP7VR2K6BZMOVFMQSD5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:AFJG4CQQP7VR2K6BZMOVFMQSD5","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":"88058fc51240c41f5501d59780a870d523ada2c2cb15c2d49322c92a6564ecfa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-01-23T15:33:13Z","title_canon_sha256":"e32c2d6c14958a80c37b8441dbb57d86f3d67bfaa06188737732e549403ecd31"},"schema_version":"1.0","source":{"id":"1701.06455","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.06455","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"arxiv_version","alias_value":"1701.06455v2","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.06455","created_at":"2026-05-18T00:52:07Z"},{"alias_kind":"pith_short_12","alias_value":"AFJG4CQQP7VR","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_16","alias_value":"AFJG4CQQP7VR2K6B","created_at":"2026-05-18T12:31:05Z"},{"alias_kind":"pith_short_8","alias_value":"AFJG4CQQ","created_at":"2026-05-18T12:31:05Z"}],"graph_snapshots":[{"event_id":"sha256:23319f29ec97a8672bf53824cc3f760e41b59bd59dca907fef93b7731440c143","target":"graph","created_at":"2026-05-18T00:52:07Z","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"},"paper":{"abstract_excerpt":"This paper considers the regional estimation of high quantiles of annual maximal river flow distributions $F$, an important problem from flood frequency analysis. Even though this particular problem has been addressed by many papers, less attention has been payed to incorporating seasonal variability and spatial dependence into the methods. We are going to discuss two regional estimators of high quantiles of local distributions $F$ that are able to deal with these important features, namely, a parametric approach based on so-called two-component extreme value distributions and a semi-parametri","authors_text":"Friederike Deiters, Paul Kinsvater, Roland Fried","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-01-23T15:33:13Z","title":"Dealing with seasonal variability and inter-site dependence in regional flood frequency analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.06455","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":"sha256:4d08429bc38cd21604955325dd4fc63bd0d74257c3f2cbdaec3f9c814ba85782","target":"record","created_at":"2026-05-18T00:52:07Z","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":"88058fc51240c41f5501d59780a870d523ada2c2cb15c2d49322c92a6564ecfa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-01-23T15:33:13Z","title_canon_sha256":"e32c2d6c14958a80c37b8441dbb57d86f3d67bfaa06188737732e549403ecd31"},"schema_version":"1.0","source":{"id":"1701.06455","kind":"arxiv","version":2}},"canonical_sha256":"01526e0a107feb1d2bc1cb1d52b2121f52a1910ab51d0dc88fa9bdad9d445562","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"01526e0a107feb1d2bc1cb1d52b2121f52a1910ab51d0dc88fa9bdad9d445562","first_computed_at":"2026-05-18T00:52:07.767415Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:52:07.767415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"knbup87wXiT+i93qRGR22dhPOFuZlF45gBJYCaldfAVsxg8fxlOwTD5fqO+0VwcL6Z9UOs5WeWa6eH2rGusMBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:52:07.768091Z","signed_message":"canonical_sha256_bytes"},"source_id":"1701.06455","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4d08429bc38cd21604955325dd4fc63bd0d74257c3f2cbdaec3f9c814ba85782","sha256:23319f29ec97a8672bf53824cc3f760e41b59bd59dca907fef93b7731440c143"],"state_sha256":"f904bd8081ee9cdee1b7169b042961ff8f694b732294fabfbc1f2b2e1c48d235"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W7xeYmnE6dJ42jP9Vk64UTpAELPwFEo9faieEECxE/ymRkGagK6Vxa6U7w5oYFca3D41uGPIcklj97B/UEiuDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T06:30:04.212139Z","bundle_sha256":"d064d06ec70b4e2a8234bb30507f01258fdfa3064b9c78fc9038fc2045784f95"}}