{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:2NRT3NQIYKLA45CMD47L6Y7SUT","short_pith_number":"pith:2NRT3NQI","canonical_record":{"source":{"id":"1908.07963","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2019-08-21T16:15:43Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"1aec45d5dbade7c120a20cb30213f7f207072b44875fbfbbdf82abf281cefcf0","abstract_canon_sha256":"6540cb4e2d90827c127cd7e1f33b950281a8962c9eb0ad836f6e4808f7aa8273"},"schema_version":"1.0"},"canonical_sha256":"d3633db608c2960e744c1f3ebf63f2a4ecaac3a21d24922c300f927df6da91c6","source":{"kind":"arxiv","id":"1908.07963","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.07963","created_at":"2026-07-05T03:42:19Z"},{"alias_kind":"arxiv_version","alias_value":"1908.07963v4","created_at":"2026-07-05T03:42:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.07963","created_at":"2026-07-05T03:42:19Z"},{"alias_kind":"pith_short_12","alias_value":"2NRT3NQIYKLA","created_at":"2026-07-05T03:42:19Z"},{"alias_kind":"pith_short_16","alias_value":"2NRT3NQIYKLA45CM","created_at":"2026-07-05T03:42:19Z"},{"alias_kind":"pith_short_8","alias_value":"2NRT3NQI","created_at":"2026-07-05T03:42:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:2NRT3NQIYKLA45CMD47L6Y7SUT","target":"record","payload":{"canonical_record":{"source":{"id":"1908.07963","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2019-08-21T16:15:43Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"1aec45d5dbade7c120a20cb30213f7f207072b44875fbfbbdf82abf281cefcf0","abstract_canon_sha256":"6540cb4e2d90827c127cd7e1f33b950281a8962c9eb0ad836f6e4808f7aa8273"},"schema_version":"1.0"},"canonical_sha256":"d3633db608c2960e744c1f3ebf63f2a4ecaac3a21d24922c300f927df6da91c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:42:19.062110Z","signature_b64":"3Bc8BYUFu5Mxw1MYBt6Yod4UlixJcyTgVpnVfkUyOatQLLfLKLFDRZmyKdiVEX4Bc39b2FxlhWPrt44jzau0Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3633db608c2960e744c1f3ebf63f2a4ecaac3a21d24922c300f927df6da91c6","last_reissued_at":"2026-07-05T03:42:19.061771Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:42:19.061771Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.07963","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:42:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xW2HakD9QJIOr/5HuIwKVx3xajJIHRzjtK0+3DXE3WRT4D5CzhA9aAg0FGQGtdTRfjy4nqH+GTOLcrz4uYndDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:53:48.825219Z"},"content_sha256":"ea0e125a18b518b5e0be24bb8c19d33281837278ee00131c763f6398a0444a77","schema_version":"1.0","event_id":"sha256:ea0e125a18b518b5e0be24bb8c19d33281837278ee00131c763f6398a0444a77"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:2NRT3NQIYKLA45CMD47L6Y7SUT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Clustering Longitudinal Life-Course Sequences Using Mixtures of Exponential-Distance Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Isobel Claire Gormley, Keefe Murphy, Raffaella Piccarreta, Thomas Brendan Murphy","submitted_at":"2019-08-21T16:15:43Z","abstract_excerpt":"Sequence analysis is an increasingly popular approach for analysing life courses represented by ordered collections of activities experienced by subjects over time. Here, we analyse a survey data set containing information on the career trajectories of a cohort of Northern Irish youths tracked between the ages of 16 and 22. We propose a novel, model-based clustering approach suited to the analysis of such data from a holistic perspective, with the aims of estimating the number of typical career trajectories, identifying the relevant features of these patterns, and assessing the extent to which"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.07963","kind":"arxiv","version":4},"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/1908.07963/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":"2026-07-05T03:42:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rFlbZnBk4vokkFDNJAXSimIqiZbNbHCL7XvTiEFJ+K3vi0o84DyjcoptZwnj2/fON74Erholm4tqxCXKQgOFCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:53:48.825789Z"},"content_sha256":"dfbca8eeca69d80a8b2e2bd3a262b969517223e9d7b9ac036da9450988a9dbf5","schema_version":"1.0","event_id":"sha256:dfbca8eeca69d80a8b2e2bd3a262b969517223e9d7b9ac036da9450988a9dbf5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2NRT3NQIYKLA45CMD47L6Y7SUT/bundle.json","state_url":"https://pith.science/pith/2NRT3NQIYKLA45CMD47L6Y7SUT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2NRT3NQIYKLA45CMD47L6Y7SUT/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":"2026-08-03T22:53:48Z","links":{"resolver":"https://pith.science/pith/2NRT3NQIYKLA45CMD47L6Y7SUT","bundle":"https://pith.science/pith/2NRT3NQIYKLA45CMD47L6Y7SUT/bundle.json","state":"https://pith.science/pith/2NRT3NQIYKLA45CMD47L6Y7SUT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2NRT3NQIYKLA45CMD47L6Y7SUT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:2NRT3NQIYKLA45CMD47L6Y7SUT","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":"6540cb4e2d90827c127cd7e1f33b950281a8962c9eb0ad836f6e4808f7aa8273","cross_cats_sorted":["stat.AP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2019-08-21T16:15:43Z","title_canon_sha256":"1aec45d5dbade7c120a20cb30213f7f207072b44875fbfbbdf82abf281cefcf0"},"schema_version":"1.0","source":{"id":"1908.07963","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.07963","created_at":"2026-07-05T03:42:19Z"},{"alias_kind":"arxiv_version","alias_value":"1908.07963v4","created_at":"2026-07-05T03:42:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.07963","created_at":"2026-07-05T03:42:19Z"},{"alias_kind":"pith_short_12","alias_value":"2NRT3NQIYKLA","created_at":"2026-07-05T03:42:19Z"},{"alias_kind":"pith_short_16","alias_value":"2NRT3NQIYKLA45CM","created_at":"2026-07-05T03:42:19Z"},{"alias_kind":"pith_short_8","alias_value":"2NRT3NQI","created_at":"2026-07-05T03:42:19Z"}],"graph_snapshots":[{"event_id":"sha256:dfbca8eeca69d80a8b2e2bd3a262b969517223e9d7b9ac036da9450988a9dbf5","target":"graph","created_at":"2026-07-05T03:42:19Z","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/1908.07963/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sequence analysis is an increasingly popular approach for analysing life courses represented by ordered collections of activities experienced by subjects over time. Here, we analyse a survey data set containing information on the career trajectories of a cohort of Northern Irish youths tracked between the ages of 16 and 22. We propose a novel, model-based clustering approach suited to the analysis of such data from a holistic perspective, with the aims of estimating the number of typical career trajectories, identifying the relevant features of these patterns, and assessing the extent to which","authors_text":"Isobel Claire Gormley, Keefe Murphy, Raffaella Piccarreta, Thomas Brendan Murphy","cross_cats":["stat.AP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2019-08-21T16:15:43Z","title":"Clustering Longitudinal Life-Course Sequences Using Mixtures of Exponential-Distance Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.07963","kind":"arxiv","version":4},"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:ea0e125a18b518b5e0be24bb8c19d33281837278ee00131c763f6398a0444a77","target":"record","created_at":"2026-07-05T03:42:19Z","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":"6540cb4e2d90827c127cd7e1f33b950281a8962c9eb0ad836f6e4808f7aa8273","cross_cats_sorted":["stat.AP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2019-08-21T16:15:43Z","title_canon_sha256":"1aec45d5dbade7c120a20cb30213f7f207072b44875fbfbbdf82abf281cefcf0"},"schema_version":"1.0","source":{"id":"1908.07963","kind":"arxiv","version":4}},"canonical_sha256":"d3633db608c2960e744c1f3ebf63f2a4ecaac3a21d24922c300f927df6da91c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3633db608c2960e744c1f3ebf63f2a4ecaac3a21d24922c300f927df6da91c6","first_computed_at":"2026-07-05T03:42:19.061771Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:42:19.061771Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3Bc8BYUFu5Mxw1MYBt6Yod4UlixJcyTgVpnVfkUyOatQLLfLKLFDRZmyKdiVEX4Bc39b2FxlhWPrt44jzau0Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:42:19.062110Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.07963","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea0e125a18b518b5e0be24bb8c19d33281837278ee00131c763f6398a0444a77","sha256:dfbca8eeca69d80a8b2e2bd3a262b969517223e9d7b9ac036da9450988a9dbf5"],"state_sha256":"21b6900b87a2e4f53ed7b26e930649858926471ad73fecf184a67435d678c9b3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CAXbamJ1L869kPtpohIV73JRvfDwTh0//yA3dMRuAewpHxptJnGUfHRdPTye4hkvS9j/nls0zupUrXSRvpAwDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T22:53:48.831066Z","bundle_sha256":"fed37c652fc59683aa4f3e8f90e07d72ac9b7fb7204401dce9cf90be3123f6bb"}}