{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:PX2WDSXKSFDKOE6DBUWXG5OMK6","short_pith_number":"pith:PX2WDSXK","canonical_record":{"source":{"id":"1712.08243","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-12-21T23:06:22Z","cross_cats_sorted":["stat.ME","stat.ML"],"title_canon_sha256":"ee1c00684363c53eadc88cc74b1d5e5db494ce3e65d0090d716e1b937802fbf9","abstract_canon_sha256":"fdac98e2b75c2ea6dc99b2a83a8b4e8c14972443f7da05e5d6e01f94361b13e9"},"schema_version":"1.0"},"canonical_sha256":"7df561caea9146a713c30d2d7375cc5785496f2807b3ed6f80e2fc5340fec273","source":{"kind":"arxiv","id":"1712.08243","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.08243","created_at":"2026-05-18T00:25:03Z"},{"alias_kind":"arxiv_version","alias_value":"1712.08243v2","created_at":"2026-05-18T00:25:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.08243","created_at":"2026-05-18T00:25:03Z"},{"alias_kind":"pith_short_12","alias_value":"PX2WDSXKSFDK","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PX2WDSXKSFDKOE6D","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PX2WDSXK","created_at":"2026-05-18T12:31:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:PX2WDSXKSFDKOE6DBUWXG5OMK6","target":"record","payload":{"canonical_record":{"source":{"id":"1712.08243","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-12-21T23:06:22Z","cross_cats_sorted":["stat.ME","stat.ML"],"title_canon_sha256":"ee1c00684363c53eadc88cc74b1d5e5db494ce3e65d0090d716e1b937802fbf9","abstract_canon_sha256":"fdac98e2b75c2ea6dc99b2a83a8b4e8c14972443f7da05e5d6e01f94361b13e9"},"schema_version":"1.0"},"canonical_sha256":"7df561caea9146a713c30d2d7375cc5785496f2807b3ed6f80e2fc5340fec273","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:25:03.723928Z","signature_b64":"J0hH2vvf9sTTlyuEdWWgP65Fl/m0x3iBGec7O8CURjt+4sQ+YA+H2tteMPQ5UiDCH+TVn7zmmNUDhlNrP/cPAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7df561caea9146a713c30d2d7375cc5785496f2807b3ed6f80e2fc5340fec273","last_reissued_at":"2026-05-18T00:25:03.723508Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:25:03.723508Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.08243","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:25:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1TnHshJSk7z+NmACNVjifjIcPeEeuip/42+I4FZg0jsxjGu0RBk4iTY5kg9pVtGFJ3cYPeexku7DQ1uHGLDBDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T21:30:40.618990Z"},"content_sha256":"d4372700aeae407246d01b80df0b0529d5b8a0e88c9ba95965413df51a81e841","schema_version":"1.0","event_id":"sha256:d4372700aeae407246d01b80df0b0529d5b8a0e88c9ba95965413df51a81e841"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:PX2WDSXKSFDKOE6DBUWXG5OMK6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME","stat.ML"],"primary_cat":"stat.AP","authors_text":"Agathe Guilloux, Emmanuel Bacry, Fanny Leroy, Maryan Morel, St\\'ephane Ga\\\"iffas","submitted_at":"2017-12-21T23:06:22Z","abstract_excerpt":"With the increased availability of large databases of electronic health records (EHRs) comes the chance of enhancing health risks screening. Most post-marketing detections of adverse drug reaction (ADR) rely on physicians' spontaneous reports, leading to under reporting. To take up this challenge, we develop a scalable model to estimate the effect of multiple longitudinal features (drug exposures) on a rare longitudinal outcome. Our procedure is based on a conditional Poisson model also known as self-controlled case series (SCCS). We model the intensity of outcomes using a convolution between "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.08243","kind":"arxiv","version":2},"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":"2026-05-18T00:25:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LWSV6EJHtnPxgnGE1O0PHJA0RjhRA02WOpPesnlU4/4vQtubHO96VRuT7gql4SyuvoEijRovzBV3y5nAeH7KDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T21:30:40.619348Z"},"content_sha256":"d61f402a0d009920a438d128b764bd3ae13078466f2983913f61677dd5d70751","schema_version":"1.0","event_id":"sha256:d61f402a0d009920a438d128b764bd3ae13078466f2983913f61677dd5d70751"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PX2WDSXKSFDKOE6DBUWXG5OMK6/bundle.json","state_url":"https://pith.science/pith/PX2WDSXKSFDKOE6DBUWXG5OMK6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PX2WDSXKSFDKOE6DBUWXG5OMK6/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":"2026-06-03T21:30:40Z","links":{"resolver":"https://pith.science/pith/PX2WDSXKSFDKOE6DBUWXG5OMK6","bundle":"https://pith.science/pith/PX2WDSXKSFDKOE6DBUWXG5OMK6/bundle.json","state":"https://pith.science/pith/PX2WDSXKSFDKOE6DBUWXG5OMK6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PX2WDSXKSFDKOE6DBUWXG5OMK6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:PX2WDSXKSFDKOE6DBUWXG5OMK6","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":"fdac98e2b75c2ea6dc99b2a83a8b4e8c14972443f7da05e5d6e01f94361b13e9","cross_cats_sorted":["stat.ME","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-12-21T23:06:22Z","title_canon_sha256":"ee1c00684363c53eadc88cc74b1d5e5db494ce3e65d0090d716e1b937802fbf9"},"schema_version":"1.0","source":{"id":"1712.08243","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.08243","created_at":"2026-05-18T00:25:03Z"},{"alias_kind":"arxiv_version","alias_value":"1712.08243v2","created_at":"2026-05-18T00:25:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.08243","created_at":"2026-05-18T00:25:03Z"},{"alias_kind":"pith_short_12","alias_value":"PX2WDSXKSFDK","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PX2WDSXKSFDKOE6D","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PX2WDSXK","created_at":"2026-05-18T12:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:d61f402a0d009920a438d128b764bd3ae13078466f2983913f61677dd5d70751","target":"graph","created_at":"2026-05-18T00:25:03Z","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":"With the increased availability of large databases of electronic health records (EHRs) comes the chance of enhancing health risks screening. Most post-marketing detections of adverse drug reaction (ADR) rely on physicians' spontaneous reports, leading to under reporting. To take up this challenge, we develop a scalable model to estimate the effect of multiple longitudinal features (drug exposures) on a rare longitudinal outcome. Our procedure is based on a conditional Poisson model also known as self-controlled case series (SCCS). We model the intensity of outcomes using a convolution between ","authors_text":"Agathe Guilloux, Emmanuel Bacry, Fanny Leroy, Maryan Morel, St\\'ephane Ga\\\"iffas","cross_cats":["stat.ME","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-12-21T23:06:22Z","title":"ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.08243","kind":"arxiv","version":2},"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:d4372700aeae407246d01b80df0b0529d5b8a0e88c9ba95965413df51a81e841","target":"record","created_at":"2026-05-18T00:25:03Z","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":"fdac98e2b75c2ea6dc99b2a83a8b4e8c14972443f7da05e5d6e01f94361b13e9","cross_cats_sorted":["stat.ME","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-12-21T23:06:22Z","title_canon_sha256":"ee1c00684363c53eadc88cc74b1d5e5db494ce3e65d0090d716e1b937802fbf9"},"schema_version":"1.0","source":{"id":"1712.08243","kind":"arxiv","version":2}},"canonical_sha256":"7df561caea9146a713c30d2d7375cc5785496f2807b3ed6f80e2fc5340fec273","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7df561caea9146a713c30d2d7375cc5785496f2807b3ed6f80e2fc5340fec273","first_computed_at":"2026-05-18T00:25:03.723508Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:25:03.723508Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J0hH2vvf9sTTlyuEdWWgP65Fl/m0x3iBGec7O8CURjt+4sQ+YA+H2tteMPQ5UiDCH+TVn7zmmNUDhlNrP/cPAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:25:03.723928Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.08243","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4372700aeae407246d01b80df0b0529d5b8a0e88c9ba95965413df51a81e841","sha256:d61f402a0d009920a438d128b764bd3ae13078466f2983913f61677dd5d70751"],"state_sha256":"cf0eff56150f2fd9579036b0a3050775c8ef73ecb5db2b27afcb53b90dc0912b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A6pygCpC1bwqf2yYVyqZCj33wvhyAOTC3Zf6OxCmc2ZEr70+3xy+Pw0sVYutJCGqb6kD2qPLl5o6yhLiab9cCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T21:30:40.621265Z","bundle_sha256":"dce7a3b33192d70b0e14f9b4d4cc0f8ee00ba35fc40d3cf41fccfd71924bf0e8"}}