{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:NFYBO4LH47WCEPJIRZTAVTP3EH","short_pith_number":"pith:NFYBO4LH","canonical_record":{"source":{"id":"1510.04161","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-10-14T15:39:10Z","cross_cats_sorted":[],"title_canon_sha256":"f9e446225a30ae98d555212e9926af0063c51dde8e734219590e591a5adf524a","abstract_canon_sha256":"0b227fe3df51daeaabc962fe0d06667d189964206483cbfb186b965c24f0615b"},"schema_version":"1.0"},"canonical_sha256":"6970177167e7ec223d288e660acdfb21f64c3565cf03b0e5095a3eea071b8816","source":{"kind":"arxiv","id":"1510.04161","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.04161","created_at":"2026-05-18T00:58:34Z"},{"alias_kind":"arxiv_version","alias_value":"1510.04161v4","created_at":"2026-05-18T00:58:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.04161","created_at":"2026-05-18T00:58:34Z"},{"alias_kind":"pith_short_12","alias_value":"NFYBO4LH47WC","created_at":"2026-05-18T12:29:32Z"},{"alias_kind":"pith_short_16","alias_value":"NFYBO4LH47WCEPJI","created_at":"2026-05-18T12:29:32Z"},{"alias_kind":"pith_short_8","alias_value":"NFYBO4LH","created_at":"2026-05-18T12:29:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:NFYBO4LH47WCEPJIRZTAVTP3EH","target":"record","payload":{"canonical_record":{"source":{"id":"1510.04161","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-10-14T15:39:10Z","cross_cats_sorted":[],"title_canon_sha256":"f9e446225a30ae98d555212e9926af0063c51dde8e734219590e591a5adf524a","abstract_canon_sha256":"0b227fe3df51daeaabc962fe0d06667d189964206483cbfb186b965c24f0615b"},"schema_version":"1.0"},"canonical_sha256":"6970177167e7ec223d288e660acdfb21f64c3565cf03b0e5095a3eea071b8816","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:34.803967Z","signature_b64":"2rRkeuBvE45Ie89UIHbVLjH4lu8EjZ1PPHm0v7Z/2zJ3m9IKPCCniaJi2PO9UnJa4dr4Z6YGcTzpqvEXyySuCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6970177167e7ec223d288e660acdfb21f64c3565cf03b0e5095a3eea071b8816","last_reissued_at":"2026-05-18T00:58:34.803352Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:34.803352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1510.04161","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:58:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JS1Noww90TMrBhK/MzqKdrmYFv/MxP7q9uTw4mS6rprSepZmJkwu7dK8Xiod2P60GaBZaRom0FEvxVRKASsUCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T21:35:29.046949Z"},"content_sha256":"61515ba884762b46fa2aabeea6a227b581bb68aa2a1827c1a326ed17bdb20336","schema_version":"1.0","event_id":"sha256:61515ba884762b46fa2aabeea6a227b581bb68aa2a1827c1a326ed17bdb20336"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:NFYBO4LH47WCEPJIRZTAVTP3EH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"D-vine copula based quantile regression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Claudia Czado, Daniel Kraus","submitted_at":"2015-10-14T15:39:10Z","abstract_excerpt":"Quantile regression, that is the prediction of conditional quantiles, has steadily gained importance in statistical modeling and financial applications. The authors introduce a new semiparametric quantile regression method based on sequentially fitting a likelihood optimal D-vine copula to given data resulting in highly flexible models with easily extractable conditional quantiles. As a subclass of regular vine copulas, D-vines enable the modeling of multivariate copulas in terms of bivariate building blocks, a so-called pair-copula construction (PCC). The proposed algorithm works fast and acc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.04161","kind":"arxiv","version":4},"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":"2026-05-18T00:58:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G60f0CSSS+qjfsRN1/xq5s6vjkwp04bSkGP0DwzmDvnWUc27fTJGNTejYnTauU1CYucpP8HYmOueQ4BIJKJiAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T21:35:29.047449Z"},"content_sha256":"2ee76fc9dd39db2a2dea02af80aacce4efa88cf509b37bfe1b160698bb9f8626","schema_version":"1.0","event_id":"sha256:2ee76fc9dd39db2a2dea02af80aacce4efa88cf509b37bfe1b160698bb9f8626"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NFYBO4LH47WCEPJIRZTAVTP3EH/bundle.json","state_url":"https://pith.science/pith/NFYBO4LH47WCEPJIRZTAVTP3EH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NFYBO4LH47WCEPJIRZTAVTP3EH/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":"2026-05-26T21:35:29Z","links":{"resolver":"https://pith.science/pith/NFYBO4LH47WCEPJIRZTAVTP3EH","bundle":"https://pith.science/pith/NFYBO4LH47WCEPJIRZTAVTP3EH/bundle.json","state":"https://pith.science/pith/NFYBO4LH47WCEPJIRZTAVTP3EH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NFYBO4LH47WCEPJIRZTAVTP3EH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:NFYBO4LH47WCEPJIRZTAVTP3EH","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":"0b227fe3df51daeaabc962fe0d06667d189964206483cbfb186b965c24f0615b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-10-14T15:39:10Z","title_canon_sha256":"f9e446225a30ae98d555212e9926af0063c51dde8e734219590e591a5adf524a"},"schema_version":"1.0","source":{"id":"1510.04161","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.04161","created_at":"2026-05-18T00:58:34Z"},{"alias_kind":"arxiv_version","alias_value":"1510.04161v4","created_at":"2026-05-18T00:58:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.04161","created_at":"2026-05-18T00:58:34Z"},{"alias_kind":"pith_short_12","alias_value":"NFYBO4LH47WC","created_at":"2026-05-18T12:29:32Z"},{"alias_kind":"pith_short_16","alias_value":"NFYBO4LH47WCEPJI","created_at":"2026-05-18T12:29:32Z"},{"alias_kind":"pith_short_8","alias_value":"NFYBO4LH","created_at":"2026-05-18T12:29:32Z"}],"graph_snapshots":[{"event_id":"sha256:2ee76fc9dd39db2a2dea02af80aacce4efa88cf509b37bfe1b160698bb9f8626","target":"graph","created_at":"2026-05-18T00:58:34Z","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":"Quantile regression, that is the prediction of conditional quantiles, has steadily gained importance in statistical modeling and financial applications. The authors introduce a new semiparametric quantile regression method based on sequentially fitting a likelihood optimal D-vine copula to given data resulting in highly flexible models with easily extractable conditional quantiles. As a subclass of regular vine copulas, D-vines enable the modeling of multivariate copulas in terms of bivariate building blocks, a so-called pair-copula construction (PCC). The proposed algorithm works fast and acc","authors_text":"Claudia Czado, Daniel Kraus","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-10-14T15:39:10Z","title":"D-vine copula based quantile regression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.04161","kind":"arxiv","version":4},"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":"sha256:61515ba884762b46fa2aabeea6a227b581bb68aa2a1827c1a326ed17bdb20336","target":"record","created_at":"2026-05-18T00:58:34Z","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":"0b227fe3df51daeaabc962fe0d06667d189964206483cbfb186b965c24f0615b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-10-14T15:39:10Z","title_canon_sha256":"f9e446225a30ae98d555212e9926af0063c51dde8e734219590e591a5adf524a"},"schema_version":"1.0","source":{"id":"1510.04161","kind":"arxiv","version":4}},"canonical_sha256":"6970177167e7ec223d288e660acdfb21f64c3565cf03b0e5095a3eea071b8816","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6970177167e7ec223d288e660acdfb21f64c3565cf03b0e5095a3eea071b8816","first_computed_at":"2026-05-18T00:58:34.803352Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:58:34.803352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2rRkeuBvE45Ie89UIHbVLjH4lu8EjZ1PPHm0v7Z/2zJ3m9IKPCCniaJi2PO9UnJa4dr4Z6YGcTzpqvEXyySuCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:58:34.803967Z","signed_message":"canonical_sha256_bytes"},"source_id":"1510.04161","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:61515ba884762b46fa2aabeea6a227b581bb68aa2a1827c1a326ed17bdb20336","sha256:2ee76fc9dd39db2a2dea02af80aacce4efa88cf509b37bfe1b160698bb9f8626"],"state_sha256":"326f59c6b806d8530dae49364fc3c6c37ef7d476fd7cbd44f635bdc1c5b07a7f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CQ+ZTFdsDCkr+6Td0tztea6jGN6As8/N8BnsnPMgBnohVaSsTN9lZDQjNAMvaLtPSmBO9YpSwJkB0ZaKq2cyAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T21:35:29.050110Z","bundle_sha256":"998a0f1839001533649996e3a866a171d7b2e3ced9db927bad7260422113e29c"}}