{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:6WZDXJDQENPC3CKPTPTA6LCAJF","short_pith_number":"pith:6WZDXJDQ","schema_version":"1.0","canonical_sha256":"f5b23ba470235e2d894f9be60f2c40497b746873580cb15065e8acb170103465","source":{"kind":"arxiv","id":"1112.5006","version":1},"attestation_state":"computed","paper":{"title":"A Unifying Model for the Analysis of Phenotypic, Genetic and Geographic Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.QM","stat.AP","stat.CO"],"primary_cat":"q-bio.PE","authors_text":"Gilles Guillot, Joahn Michaux, Julien Claude, Ronan Ledevin, Sabrina Renaud","submitted_at":"2011-12-21T12:34:40Z","abstract_excerpt":"Recognition of evolutionary units (species, populations) requires integrating several kinds of data such as genetic or phenotypic markers or spatial information, in order to get a comprehensive view concerning the differentiation of the units. We propose a statistical model with a double original advantage: (i) it incorporates information about the spatial distribution of the samples, with the aim to increase inference power and to relate more explicitly observed patterns to geography; and (ii) it allows one to analyze genetic and phenotypic data within a unified model and inference framework,"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1112.5006","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.PE","submitted_at":"2011-12-21T12:34:40Z","cross_cats_sorted":["q-bio.QM","stat.AP","stat.CO"],"title_canon_sha256":"08804d781cfec5a4ea12a27e68f6b610859cc9ba1939e1492f264ab6fefbb086","abstract_canon_sha256":"151f729e1b0921dc14c18cf0c4133b2f96441784a673618b35a346c5dddf95f0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:05:56.488260Z","signature_b64":"uRUG95woF/N8D4xV0PCCnQogfqQ/voj+rcNuNdjwrjrZa69cA5PrLf+cswK4X65LxUclhcdULvY0Kr1WFUgFDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f5b23ba470235e2d894f9be60f2c40497b746873580cb15065e8acb170103465","last_reissued_at":"2026-05-18T04:05:56.487556Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:05:56.487556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Unifying Model for the Analysis of Phenotypic, Genetic and Geographic Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.QM","stat.AP","stat.CO"],"primary_cat":"q-bio.PE","authors_text":"Gilles Guillot, Joahn Michaux, Julien Claude, Ronan Ledevin, Sabrina Renaud","submitted_at":"2011-12-21T12:34:40Z","abstract_excerpt":"Recognition of evolutionary units (species, populations) requires integrating several kinds of data such as genetic or phenotypic markers or spatial information, in order to get a comprehensive view concerning the differentiation of the units. We propose a statistical model with a double original advantage: (i) it incorporates information about the spatial distribution of the samples, with the aim to increase inference power and to relate more explicitly observed patterns to geography; and (ii) it allows one to analyze genetic and phenotypic data within a unified model and inference framework,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1112.5006","kind":"arxiv","version":1},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1112.5006","created_at":"2026-05-18T04:05:56.487649+00:00"},{"alias_kind":"arxiv_version","alias_value":"1112.5006v1","created_at":"2026-05-18T04:05:56.487649+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1112.5006","created_at":"2026-05-18T04:05:56.487649+00:00"},{"alias_kind":"pith_short_12","alias_value":"6WZDXJDQENPC","created_at":"2026-05-18T12:26:22.705136+00:00"},{"alias_kind":"pith_short_16","alias_value":"6WZDXJDQENPC3CKP","created_at":"2026-05-18T12:26:22.705136+00:00"},{"alias_kind":"pith_short_8","alias_value":"6WZDXJDQ","created_at":"2026-05-18T12:26:22.705136+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6WZDXJDQENPC3CKPTPTA6LCAJF","json":"https://pith.science/pith/6WZDXJDQENPC3CKPTPTA6LCAJF.json","graph_json":"https://pith.science/api/pith-number/6WZDXJDQENPC3CKPTPTA6LCAJF/graph.json","events_json":"https://pith.science/api/pith-number/6WZDXJDQENPC3CKPTPTA6LCAJF/events.json","paper":"https://pith.science/paper/6WZDXJDQ"},"agent_actions":{"view_html":"https://pith.science/pith/6WZDXJDQENPC3CKPTPTA6LCAJF","download_json":"https://pith.science/pith/6WZDXJDQENPC3CKPTPTA6LCAJF.json","view_paper":"https://pith.science/paper/6WZDXJDQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1112.5006&json=true","fetch_graph":"https://pith.science/api/pith-number/6WZDXJDQENPC3CKPTPTA6LCAJF/graph.json","fetch_events":"https://pith.science/api/pith-number/6WZDXJDQENPC3CKPTPTA6LCAJF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6WZDXJDQENPC3CKPTPTA6LCAJF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6WZDXJDQENPC3CKPTPTA6LCAJF/action/storage_attestation","attest_author":"https://pith.science/pith/6WZDXJDQENPC3CKPTPTA6LCAJF/action/author_attestation","sign_citation":"https://pith.science/pith/6WZDXJDQENPC3CKPTPTA6LCAJF/action/citation_signature","submit_replication":"https://pith.science/pith/6WZDXJDQENPC3CKPTPTA6LCAJF/action/replication_record"}},"created_at":"2026-05-18T04:05:56.487649+00:00","updated_at":"2026-05-18T04:05:56.487649+00:00"}