{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:NFFY37WE3WPMULYASFCQG5KEJR","short_pith_number":"pith:NFFY37WE","schema_version":"1.0","canonical_sha256":"694b8dfec4dd9eca2f0091450375444c487bd45e5339dfcbe827437a8d500989","source":{"kind":"arxiv","id":"1307.4956","version":1},"attestation_state":"computed","paper":{"title":"Computational aspects of DNA mixture analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.QM"],"primary_cat":"stat.ME","authors_text":"Steffen Lauritzen, Therese Graversen","submitted_at":"2013-07-18T14:19:12Z","abstract_excerpt":"Statistical analysis of DNA mixtures is known to pose computational challenges due to the enormous state space of possible DNA profiles. We propose a Bayesian network representation for genotypes, allowing computations to be performed locally involving only a few alleles at each step. In addition, we describe a general method for computing the expectation of a product of discrete random variables using auxiliary variables and probability propagation in a Bayesian network, which in combination with the genotype network allows efficient computation of the likelihood function and various other qu"},"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":"1307.4956","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-07-18T14:19:12Z","cross_cats_sorted":["q-bio.QM"],"title_canon_sha256":"82e95f693d352e0bfa16006e2ef185eb7170e5a948bf57f93b1aedc306312db6","abstract_canon_sha256":"cd004057b51062313ae7e189c1341a10f1dfbcf70397153693c0ad2a5b121b54"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:58:32.514387Z","signature_b64":"TMQhMqCwoM6eeum6IGgDcAUaweeMiEYnkzDIl1gMpGeJUZiKf+MWZiSuSfzpyNamPNKW0XZ/NlOGCbfhKZTbAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"694b8dfec4dd9eca2f0091450375444c487bd45e5339dfcbe827437a8d500989","last_reissued_at":"2026-05-18T02:58:32.513614Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:58:32.513614Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Computational aspects of DNA mixture analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.QM"],"primary_cat":"stat.ME","authors_text":"Steffen Lauritzen, Therese Graversen","submitted_at":"2013-07-18T14:19:12Z","abstract_excerpt":"Statistical analysis of DNA mixtures is known to pose computational challenges due to the enormous state space of possible DNA profiles. We propose a Bayesian network representation for genotypes, allowing computations to be performed locally involving only a few alleles at each step. In addition, we describe a general method for computing the expectation of a product of discrete random variables using auxiliary variables and probability propagation in a Bayesian network, which in combination with the genotype network allows efficient computation of the likelihood function and various other qu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1307.4956","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":"1307.4956","created_at":"2026-05-18T02:58:32.513737+00:00"},{"alias_kind":"arxiv_version","alias_value":"1307.4956v1","created_at":"2026-05-18T02:58:32.513737+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1307.4956","created_at":"2026-05-18T02:58:32.513737+00:00"},{"alias_kind":"pith_short_12","alias_value":"NFFY37WE3WPM","created_at":"2026-05-18T12:27:52.871228+00:00"},{"alias_kind":"pith_short_16","alias_value":"NFFY37WE3WPMULYA","created_at":"2026-05-18T12:27:52.871228+00:00"},{"alias_kind":"pith_short_8","alias_value":"NFFY37WE","created_at":"2026-05-18T12:27:52.871228+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/NFFY37WE3WPMULYASFCQG5KEJR","json":"https://pith.science/pith/NFFY37WE3WPMULYASFCQG5KEJR.json","graph_json":"https://pith.science/api/pith-number/NFFY37WE3WPMULYASFCQG5KEJR/graph.json","events_json":"https://pith.science/api/pith-number/NFFY37WE3WPMULYASFCQG5KEJR/events.json","paper":"https://pith.science/paper/NFFY37WE"},"agent_actions":{"view_html":"https://pith.science/pith/NFFY37WE3WPMULYASFCQG5KEJR","download_json":"https://pith.science/pith/NFFY37WE3WPMULYASFCQG5KEJR.json","view_paper":"https://pith.science/paper/NFFY37WE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1307.4956&json=true","fetch_graph":"https://pith.science/api/pith-number/NFFY37WE3WPMULYASFCQG5KEJR/graph.json","fetch_events":"https://pith.science/api/pith-number/NFFY37WE3WPMULYASFCQG5KEJR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NFFY37WE3WPMULYASFCQG5KEJR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NFFY37WE3WPMULYASFCQG5KEJR/action/storage_attestation","attest_author":"https://pith.science/pith/NFFY37WE3WPMULYASFCQG5KEJR/action/author_attestation","sign_citation":"https://pith.science/pith/NFFY37WE3WPMULYASFCQG5KEJR/action/citation_signature","submit_replication":"https://pith.science/pith/NFFY37WE3WPMULYASFCQG5KEJR/action/replication_record"}},"created_at":"2026-05-18T02:58:32.513737+00:00","updated_at":"2026-05-18T02:58:32.513737+00:00"}