{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SJCWUPYIBG6AETBFF6R33QWHAD","short_pith_number":"pith:SJCWUPYI","canonical_record":{"source":{"id":"2411.18739","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-11-27T20:24:24Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"ef7e00f05a570c128925d478eb059044754ff85762960239505433ad93dc8a53","abstract_canon_sha256":"d275270b4fa9aabb8db0584cf000f06deda52e7514d9b4efc390251e83b85a62"},"schema_version":"1.0"},"canonical_sha256":"92456a3f0809bc024c252fa3bdc2c700f63e61d1f024d4dba9a00af75137bbdb","source":{"kind":"arxiv","id":"2411.18739","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18739","created_at":"2026-07-05T09:41:50Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18739v1","created_at":"2026-07-05T09:41:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18739","created_at":"2026-07-05T09:41:50Z"},{"alias_kind":"pith_short_12","alias_value":"SJCWUPYIBG6A","created_at":"2026-07-05T09:41:50Z"},{"alias_kind":"pith_short_16","alias_value":"SJCWUPYIBG6AETBF","created_at":"2026-07-05T09:41:50Z"},{"alias_kind":"pith_short_8","alias_value":"SJCWUPYI","created_at":"2026-07-05T09:41:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SJCWUPYIBG6AETBFF6R33QWHAD","target":"record","payload":{"canonical_record":{"source":{"id":"2411.18739","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-11-27T20:24:24Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"ef7e00f05a570c128925d478eb059044754ff85762960239505433ad93dc8a53","abstract_canon_sha256":"d275270b4fa9aabb8db0584cf000f06deda52e7514d9b4efc390251e83b85a62"},"schema_version":"1.0"},"canonical_sha256":"92456a3f0809bc024c252fa3bdc2c700f63e61d1f024d4dba9a00af75137bbdb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:41:50.630963Z","signature_b64":"JM/bpkC5VM37JjCzr7CAQb5REaHqjWw0V1bV0HbPABP9bl1zhiOlhR/EdBGJIV1n3wj2PchDhKCOCF8r0WUcBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"92456a3f0809bc024c252fa3bdc2c700f63e61d1f024d4dba9a00af75137bbdb","last_reissued_at":"2026-07-05T09:41:50.630519Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:41:50.630519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.18739","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:41:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R0MYYxuJMtyI3ftj0HzqS1OkLvz4OKrPMywM/G2O55X9RCXnolzdFITtFg7ttDzFwNVMz/Bm1S0qg9o3BQDkAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T05:42:03.328670Z"},"content_sha256":"b8064e5d35eeae3c365d9ffab5713dd429e23ccccf6d4ac084bc883d992fa3c5","schema_version":"1.0","event_id":"sha256:b8064e5d35eeae3c365d9ffab5713dd429e23ccccf6d4ac084bc883d992fa3c5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SJCWUPYIBG6AETBFF6R33QWHAD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Donald M. Lloyd-Jones, Juned Siddique, Maria Josefsson, Michael J. Daniels, Saurabh Bhandari","submitted_at":"2024-11-27T20:24:24Z","abstract_excerpt":"Causal mediation analysis of observational data is an important tool for investigating the potential causal effects of medications on disease-related risk factors, and on time-to-death (or disease progression) through these risk factors. However, when analyzing data from a cohort study, such analyses are complicated by the longitudinal structure of the risk factors and the presence of time-varying confounders. Leveraging data from the Atherosclerosis Risk in Communities (ARIC) cohort study, we develop a causal mediation approach, using (semi-parametric) Bayesian Additive Regression Tree (BART)"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18739","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.18739/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T09:41:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KEDrbHpLIhdRA8co47mdVAp2wrmkJWVGMTPUf3VdkJZke/5TVIhjvIX6JgHsG+D/c5yXHi2/ieVopQflhO8cBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T05:42:03.329728Z"},"content_sha256":"8288d0f0b6d81e62c4a564880401e55849e0da7aa156a831fd7569bce80c29c2","schema_version":"1.0","event_id":"sha256:8288d0f0b6d81e62c4a564880401e55849e0da7aa156a831fd7569bce80c29c2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SJCWUPYIBG6AETBFF6R33QWHAD/bundle.json","state_url":"https://pith.science/pith/SJCWUPYIBG6AETBFF6R33QWHAD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SJCWUPYIBG6AETBFF6R33QWHAD/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":"2026-08-13T05:42:03Z","links":{"resolver":"https://pith.science/pith/SJCWUPYIBG6AETBFF6R33QWHAD","bundle":"https://pith.science/pith/SJCWUPYIBG6AETBFF6R33QWHAD/bundle.json","state":"https://pith.science/pith/SJCWUPYIBG6AETBFF6R33QWHAD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SJCWUPYIBG6AETBFF6R33QWHAD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SJCWUPYIBG6AETBFF6R33QWHAD","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":"d275270b4fa9aabb8db0584cf000f06deda52e7514d9b4efc390251e83b85a62","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-11-27T20:24:24Z","title_canon_sha256":"ef7e00f05a570c128925d478eb059044754ff85762960239505433ad93dc8a53"},"schema_version":"1.0","source":{"id":"2411.18739","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18739","created_at":"2026-07-05T09:41:50Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18739v1","created_at":"2026-07-05T09:41:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18739","created_at":"2026-07-05T09:41:50Z"},{"alias_kind":"pith_short_12","alias_value":"SJCWUPYIBG6A","created_at":"2026-07-05T09:41:50Z"},{"alias_kind":"pith_short_16","alias_value":"SJCWUPYIBG6AETBF","created_at":"2026-07-05T09:41:50Z"},{"alias_kind":"pith_short_8","alias_value":"SJCWUPYI","created_at":"2026-07-05T09:41:50Z"}],"graph_snapshots":[{"event_id":"sha256:8288d0f0b6d81e62c4a564880401e55849e0da7aa156a831fd7569bce80c29c2","target":"graph","created_at":"2026-07-05T09:41:50Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2411.18739/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Causal mediation analysis of observational data is an important tool for investigating the potential causal effects of medications on disease-related risk factors, and on time-to-death (or disease progression) through these risk factors. However, when analyzing data from a cohort study, such analyses are complicated by the longitudinal structure of the risk factors and the presence of time-varying confounders. Leveraging data from the Atherosclerosis Risk in Communities (ARIC) cohort study, we develop a causal mediation approach, using (semi-parametric) Bayesian Additive Regression Tree (BART)","authors_text":"Donald M. Lloyd-Jones, Juned Siddique, Maria Josefsson, Michael J. Daniels, Saurabh Bhandari","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-11-27T20:24:24Z","title":"A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18739","kind":"arxiv","version":1},"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:b8064e5d35eeae3c365d9ffab5713dd429e23ccccf6d4ac084bc883d992fa3c5","target":"record","created_at":"2026-07-05T09:41:50Z","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":"d275270b4fa9aabb8db0584cf000f06deda52e7514d9b4efc390251e83b85a62","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2024-11-27T20:24:24Z","title_canon_sha256":"ef7e00f05a570c128925d478eb059044754ff85762960239505433ad93dc8a53"},"schema_version":"1.0","source":{"id":"2411.18739","kind":"arxiv","version":1}},"canonical_sha256":"92456a3f0809bc024c252fa3bdc2c700f63e61d1f024d4dba9a00af75137bbdb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"92456a3f0809bc024c252fa3bdc2c700f63e61d1f024d4dba9a00af75137bbdb","first_computed_at":"2026-07-05T09:41:50.630519Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:41:50.630519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JM/bpkC5VM37JjCzr7CAQb5REaHqjWw0V1bV0HbPABP9bl1zhiOlhR/EdBGJIV1n3wj2PchDhKCOCF8r0WUcBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:41:50.630963Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.18739","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b8064e5d35eeae3c365d9ffab5713dd429e23ccccf6d4ac084bc883d992fa3c5","sha256:8288d0f0b6d81e62c4a564880401e55849e0da7aa156a831fd7569bce80c29c2"],"state_sha256":"ff3caa3c8123438a4345af9ea7220fac65d282b4852716976e88a3ba32570807"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G5eBXpxlowZ1j6dWLXUSnRqpr56eEOPGxFRdW87tL6PMgZw/OMxZGhKWj4kI7up3O4lbgavfMNSGyIwMYgZjDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T05:42:03.334242Z","bundle_sha256":"d783fefcf5304097b8c62dca44c1228946e8a2d4d083d3d8a216732082181246"}}