{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2009:TNNYASDNN2AJFQLDCTV5JEY6RV","short_pith_number":"pith:TNNYASDN","canonical_record":{"source":{"id":"0908.1144","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2009-08-08T03:52:51Z","cross_cats_sorted":[],"title_canon_sha256":"8c1e0c05ad865f3c642856e8cc9bb1672bedd06928270fccf9ac2e38026b54a7","abstract_canon_sha256":"668b55350966ba69e4bc9b887e3dfc7553630a748c06e0d2fff7ee48fd35b7ef"},"schema_version":"1.0"},"canonical_sha256":"9b5b80486d6e8092c16314ebd4931e8d6ea24310411b23ebc70b4a3b1b922f27","source":{"kind":"arxiv","id":"0908.1144","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0908.1144","created_at":"2026-05-18T04:36:08Z"},{"alias_kind":"arxiv_version","alias_value":"0908.1144v3","created_at":"2026-05-18T04:36:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0908.1144","created_at":"2026-05-18T04:36:08Z"},{"alias_kind":"pith_short_12","alias_value":"TNNYASDNN2AJ","created_at":"2026-05-18T12:26:01Z"},{"alias_kind":"pith_short_16","alias_value":"TNNYASDNN2AJFQLD","created_at":"2026-05-18T12:26:01Z"},{"alias_kind":"pith_short_8","alias_value":"TNNYASDN","created_at":"2026-05-18T12:26:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2009:TNNYASDNN2AJFQLDCTV5JEY6RV","target":"record","payload":{"canonical_record":{"source":{"id":"0908.1144","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2009-08-08T03:52:51Z","cross_cats_sorted":[],"title_canon_sha256":"8c1e0c05ad865f3c642856e8cc9bb1672bedd06928270fccf9ac2e38026b54a7","abstract_canon_sha256":"668b55350966ba69e4bc9b887e3dfc7553630a748c06e0d2fff7ee48fd35b7ef"},"schema_version":"1.0"},"canonical_sha256":"9b5b80486d6e8092c16314ebd4931e8d6ea24310411b23ebc70b4a3b1b922f27","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:36:08.924060Z","signature_b64":"ZZVAt7xlEWr0Dna/wSiY6tl04GxyfrHFdWFLrngiaZTQBNjERykQahj5bkKzgTwG2u7RKZZWLJAQahHjoJTyAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b5b80486d6e8092c16314ebd4931e8d6ea24310411b23ebc70b4a3b1b922f27","last_reissued_at":"2026-05-18T04:36:08.923471Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:36:08.923471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"0908.1144","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T04:36:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TTXGlWZxr7mP5JvWLn1Ymsid9mKQNlJcD2w218MrpYuqm+tEyiO7u5IlH3cEjtuD4jUoYCVZwCf5JDn0OiTsDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T00:43:24.729162Z"},"content_sha256":"56aab37fa744bc42fc2150bb36f66b500068b91ada44752eb0668e4afdd1fbd5","schema_version":"1.0","event_id":"sha256:56aab37fa744bc42fc2150bb36f66b500068b91ada44752eb0668e4afdd1fbd5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2009:TNNYASDNN2AJFQLDCTV5JEY6RV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian model search and multilevel inference for SNP association studies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Edwin S. Iversen, Joellen M. Schildkraut, Melanie A. Wilson, Merlise A. Clyde, Scott C. Schmidler","submitted_at":"2009-08-08T03:52:51Z","abstract_excerpt":"Technological advances in genotyping have given rise to hypothesis-based association studies of increasing scope. As a result, the scientific hypotheses addressed by these studies have become more complex and more difficult to address using existing analytic methodologies. Obstacles to analysis include inference in the face of multiple comparisons, complications arising from correlations among the SNPs (single nucleotide polymorphisms), choice of their genetic parametrization and missing data. In this paper we present an efficient Bayesian model search strategy that searches over the space of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0908.1144","kind":"arxiv","version":3},"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":"2026-05-18T04:36:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v/bqGw8c2fwilMdTBNZA93SD/1CFT8Gjck/o5bMOVcS4C1jmIUcUbgAh/UujFMVwNILV5iXcDRWXTJGGpYMQCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T00:43:24.729922Z"},"content_sha256":"5c410abdf12bd466b732484b40135a8a3c71593889d2c358aefa0c1af7e65bdc","schema_version":"1.0","event_id":"sha256:5c410abdf12bd466b732484b40135a8a3c71593889d2c358aefa0c1af7e65bdc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TNNYASDNN2AJFQLDCTV5JEY6RV/bundle.json","state_url":"https://pith.science/pith/TNNYASDNN2AJFQLDCTV5JEY6RV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TNNYASDNN2AJFQLDCTV5JEY6RV/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":"2026-05-31T00:43:24Z","links":{"resolver":"https://pith.science/pith/TNNYASDNN2AJFQLDCTV5JEY6RV","bundle":"https://pith.science/pith/TNNYASDNN2AJFQLDCTV5JEY6RV/bundle.json","state":"https://pith.science/pith/TNNYASDNN2AJFQLDCTV5JEY6RV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TNNYASDNN2AJFQLDCTV5JEY6RV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2009:TNNYASDNN2AJFQLDCTV5JEY6RV","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":"668b55350966ba69e4bc9b887e3dfc7553630a748c06e0d2fff7ee48fd35b7ef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2009-08-08T03:52:51Z","title_canon_sha256":"8c1e0c05ad865f3c642856e8cc9bb1672bedd06928270fccf9ac2e38026b54a7"},"schema_version":"1.0","source":{"id":"0908.1144","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0908.1144","created_at":"2026-05-18T04:36:08Z"},{"alias_kind":"arxiv_version","alias_value":"0908.1144v3","created_at":"2026-05-18T04:36:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0908.1144","created_at":"2026-05-18T04:36:08Z"},{"alias_kind":"pith_short_12","alias_value":"TNNYASDNN2AJ","created_at":"2026-05-18T12:26:01Z"},{"alias_kind":"pith_short_16","alias_value":"TNNYASDNN2AJFQLD","created_at":"2026-05-18T12:26:01Z"},{"alias_kind":"pith_short_8","alias_value":"TNNYASDN","created_at":"2026-05-18T12:26:01Z"}],"graph_snapshots":[{"event_id":"sha256:5c410abdf12bd466b732484b40135a8a3c71593889d2c358aefa0c1af7e65bdc","target":"graph","created_at":"2026-05-18T04:36:08Z","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":"Technological advances in genotyping have given rise to hypothesis-based association studies of increasing scope. As a result, the scientific hypotheses addressed by these studies have become more complex and more difficult to address using existing analytic methodologies. Obstacles to analysis include inference in the face of multiple comparisons, complications arising from correlations among the SNPs (single nucleotide polymorphisms), choice of their genetic parametrization and missing data. In this paper we present an efficient Bayesian model search strategy that searches over the space of ","authors_text":"Edwin S. Iversen, Joellen M. Schildkraut, Melanie A. Wilson, Merlise A. Clyde, Scott C. Schmidler","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2009-08-08T03:52:51Z","title":"Bayesian model search and multilevel inference for SNP association studies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0908.1144","kind":"arxiv","version":3},"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":"sha256:56aab37fa744bc42fc2150bb36f66b500068b91ada44752eb0668e4afdd1fbd5","target":"record","created_at":"2026-05-18T04:36:08Z","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":"668b55350966ba69e4bc9b887e3dfc7553630a748c06e0d2fff7ee48fd35b7ef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2009-08-08T03:52:51Z","title_canon_sha256":"8c1e0c05ad865f3c642856e8cc9bb1672bedd06928270fccf9ac2e38026b54a7"},"schema_version":"1.0","source":{"id":"0908.1144","kind":"arxiv","version":3}},"canonical_sha256":"9b5b80486d6e8092c16314ebd4931e8d6ea24310411b23ebc70b4a3b1b922f27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b5b80486d6e8092c16314ebd4931e8d6ea24310411b23ebc70b4a3b1b922f27","first_computed_at":"2026-05-18T04:36:08.923471Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:36:08.923471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZZVAt7xlEWr0Dna/wSiY6tl04GxyfrHFdWFLrngiaZTQBNjERykQahj5bkKzgTwG2u7RKZZWLJAQahHjoJTyAw==","signature_status":"signed_v1","signed_at":"2026-05-18T04:36:08.924060Z","signed_message":"canonical_sha256_bytes"},"source_id":"0908.1144","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56aab37fa744bc42fc2150bb36f66b500068b91ada44752eb0668e4afdd1fbd5","sha256:5c410abdf12bd466b732484b40135a8a3c71593889d2c358aefa0c1af7e65bdc"],"state_sha256":"569c9fa1fba5b93fb5063621a04d74c442bd4a4c2758beb6ce9c2613f568b995"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ftiVObc/O6d4EJn0v27jNrd0R/vhg46Mis49j4o56maFxWYeKIG7QGK40QQEjlXn/0QqTD1JoxIUBwKvu3BjAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T00:43:24.733823Z","bundle_sha256":"213c3ca8549d8d06ce9aa5bbd8791ff75d6dfcf2051be799e1f93e14f29d1c07"}}