{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:VLDFTYIARROUNXSTWULBA2V4NM","short_pith_number":"pith:VLDFTYIA","schema_version":"1.0","canonical_sha256":"aac659e1008c5d46de53b516106abc6b2691dfacdd05a843d6be93a3c6addbb2","source":{"kind":"arxiv","id":"2506.03584","version":1},"attestation_state":"computed","paper":{"title":"Analyzing Pension Fund Mortality with Gaussian Processes in a Sub Population Framework","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Eduardo F. L. de Melo, Michael Ludkovski, Rodrigo S. Targino","submitted_at":"2025-06-04T05:33:00Z","abstract_excerpt":"Pension fund populations often have mortality experiences that are substantially different from the national benchmark. In a motivating case study of Brazilian corporate pension funds, pensioners are observed to have mortality that is 40-55% below the national average, due to the underlying socioeconomic disparities. Direct analysis of a pension fund population is challenging due to very sparse data, with age-specific annual death counts often in low single digits. We design and study a collection of stochastic sub-population frameworks that coherently capture and project pensioner mortality r"},"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":"2506.03584","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2025-06-04T05:33:00Z","cross_cats_sorted":[],"title_canon_sha256":"4dd5a7d7c8ad5e04230ad4071d03d61885091dd7ff4dcbadb2c6db1a88f6ca74","abstract_canon_sha256":"b3656389e59ac0269dc76e2bcfb4cf09882a7a5e9700335029ca13164f1d9f14"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:30.737110Z","signature_b64":"7T2ayyXEAgi/c/LHlpMi+ATTev8XeRn1C8N0LWiot5yfBcQvB2WPCjA4WOV1DgmCopEwVQOnLdAm83ibLvXaBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aac659e1008c5d46de53b516106abc6b2691dfacdd05a843d6be93a3c6addbb2","last_reissued_at":"2026-07-05T11:15:30.736571Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:30.736571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Analyzing Pension Fund Mortality with Gaussian Processes in a Sub Population Framework","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Eduardo F. L. de Melo, Michael Ludkovski, Rodrigo S. Targino","submitted_at":"2025-06-04T05:33:00Z","abstract_excerpt":"Pension fund populations often have mortality experiences that are substantially different from the national benchmark. In a motivating case study of Brazilian corporate pension funds, pensioners are observed to have mortality that is 40-55% below the national average, due to the underlying socioeconomic disparities. Direct analysis of a pension fund population is challenging due to very sparse data, with age-specific annual death counts often in low single digits. We design and study a collection of stochastic sub-population frameworks that coherently capture and project pensioner mortality r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03584","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/2506.03584/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2506.03584","created_at":"2026-07-05T11:15:30.736631+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.03584v1","created_at":"2026-07-05T11:15:30.736631+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03584","created_at":"2026-07-05T11:15:30.736631+00:00"},{"alias_kind":"pith_short_12","alias_value":"VLDFTYIARROU","created_at":"2026-07-05T11:15:30.736631+00:00"},{"alias_kind":"pith_short_16","alias_value":"VLDFTYIARROUNXST","created_at":"2026-07-05T11:15:30.736631+00:00"},{"alias_kind":"pith_short_8","alias_value":"VLDFTYIA","created_at":"2026-07-05T11:15:30.736631+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/VLDFTYIARROUNXSTWULBA2V4NM","json":"https://pith.science/pith/VLDFTYIARROUNXSTWULBA2V4NM.json","graph_json":"https://pith.science/api/pith-number/VLDFTYIARROUNXSTWULBA2V4NM/graph.json","events_json":"https://pith.science/api/pith-number/VLDFTYIARROUNXSTWULBA2V4NM/events.json","paper":"https://pith.science/paper/VLDFTYIA"},"agent_actions":{"view_html":"https://pith.science/pith/VLDFTYIARROUNXSTWULBA2V4NM","download_json":"https://pith.science/pith/VLDFTYIARROUNXSTWULBA2V4NM.json","view_paper":"https://pith.science/paper/VLDFTYIA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.03584&json=true","fetch_graph":"https://pith.science/api/pith-number/VLDFTYIARROUNXSTWULBA2V4NM/graph.json","fetch_events":"https://pith.science/api/pith-number/VLDFTYIARROUNXSTWULBA2V4NM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VLDFTYIARROUNXSTWULBA2V4NM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VLDFTYIARROUNXSTWULBA2V4NM/action/storage_attestation","attest_author":"https://pith.science/pith/VLDFTYIARROUNXSTWULBA2V4NM/action/author_attestation","sign_citation":"https://pith.science/pith/VLDFTYIARROUNXSTWULBA2V4NM/action/citation_signature","submit_replication":"https://pith.science/pith/VLDFTYIARROUNXSTWULBA2V4NM/action/replication_record"}},"created_at":"2026-07-05T11:15:30.736631+00:00","updated_at":"2026-07-05T11:15:30.736631+00:00"}