{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:CM2NRSMWRPE7HY7KHPGM3WI7KQ","short_pith_number":"pith:CM2NRSMW","schema_version":"1.0","canonical_sha256":"1334d8c9968bc9f3e3ea3bcccdd91f540c8cf68c69c99ff459c42b2963cc36dd","source":{"kind":"arxiv","id":"2209.12047","version":2},"attestation_state":"computed","paper":{"title":"Learning and forecasting of age-specific period mortality via B-spline processes with locally-adaptive dynamic coefficients","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Daniele Durante, Federico Pavone, Sirio Legramanti","submitted_at":"2022-09-24T16:23:04Z","abstract_excerpt":"Although the analysis of human mortality has a well-established history, the attempt to accurately forecast future death-rate patterns for different age groups and time horizons still attracts active research. Such a predictive focus has motivated an increasing shift towards more flexible representations of age-specific period mortality trajectories at the cost of reduced interpretability. Although this perspective has led to successful predictive strategies, the inclusion of interpretable structures in modeling of human mortality can be, in fact, beneficial for improving forecasts. We pursue "},"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":"2209.12047","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2022-09-24T16:23:04Z","cross_cats_sorted":[],"title_canon_sha256":"164368b2207710232bf7a46b3f618c5dfb6ae96ba065857596d801c7a4d71b46","abstract_canon_sha256":"53237cbfb4c049b8637f347f29992d5895913cfb611aa1c40652f533b95f2a92"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:32:56.188466Z","signature_b64":"PfxiAyZJpX5y0z9rI1OJkJUvNO4ukfzJHmIYwm6W5cVTDxfRSw/3glc2kpCqd7f5F/gs7DghH21JzBoj19lYBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1334d8c9968bc9f3e3ea3bcccdd91f540c8cf68c69c99ff459c42b2963cc36dd","last_reissued_at":"2026-07-05T07:32:56.188030Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:32:56.188030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Learning and forecasting of age-specific period mortality via B-spline processes with locally-adaptive dynamic coefficients","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Daniele Durante, Federico Pavone, Sirio Legramanti","submitted_at":"2022-09-24T16:23:04Z","abstract_excerpt":"Although the analysis of human mortality has a well-established history, the attempt to accurately forecast future death-rate patterns for different age groups and time horizons still attracts active research. Such a predictive focus has motivated an increasing shift towards more flexible representations of age-specific period mortality trajectories at the cost of reduced interpretability. Although this perspective has led to successful predictive strategies, the inclusion of interpretable structures in modeling of human mortality can be, in fact, beneficial for improving forecasts. We pursue "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.12047","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2209.12047/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":"2209.12047","created_at":"2026-07-05T07:32:56.188091+00:00"},{"alias_kind":"arxiv_version","alias_value":"2209.12047v2","created_at":"2026-07-05T07:32:56.188091+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.12047","created_at":"2026-07-05T07:32:56.188091+00:00"},{"alias_kind":"pith_short_12","alias_value":"CM2NRSMWRPE7","created_at":"2026-07-05T07:32:56.188091+00:00"},{"alias_kind":"pith_short_16","alias_value":"CM2NRSMWRPE7HY7K","created_at":"2026-07-05T07:32:56.188091+00:00"},{"alias_kind":"pith_short_8","alias_value":"CM2NRSMW","created_at":"2026-07-05T07:32:56.188091+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/CM2NRSMWRPE7HY7KHPGM3WI7KQ","json":"https://pith.science/pith/CM2NRSMWRPE7HY7KHPGM3WI7KQ.json","graph_json":"https://pith.science/api/pith-number/CM2NRSMWRPE7HY7KHPGM3WI7KQ/graph.json","events_json":"https://pith.science/api/pith-number/CM2NRSMWRPE7HY7KHPGM3WI7KQ/events.json","paper":"https://pith.science/paper/CM2NRSMW"},"agent_actions":{"view_html":"https://pith.science/pith/CM2NRSMWRPE7HY7KHPGM3WI7KQ","download_json":"https://pith.science/pith/CM2NRSMWRPE7HY7KHPGM3WI7KQ.json","view_paper":"https://pith.science/paper/CM2NRSMW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2209.12047&json=true","fetch_graph":"https://pith.science/api/pith-number/CM2NRSMWRPE7HY7KHPGM3WI7KQ/graph.json","fetch_events":"https://pith.science/api/pith-number/CM2NRSMWRPE7HY7KHPGM3WI7KQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CM2NRSMWRPE7HY7KHPGM3WI7KQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CM2NRSMWRPE7HY7KHPGM3WI7KQ/action/storage_attestation","attest_author":"https://pith.science/pith/CM2NRSMWRPE7HY7KHPGM3WI7KQ/action/author_attestation","sign_citation":"https://pith.science/pith/CM2NRSMWRPE7HY7KHPGM3WI7KQ/action/citation_signature","submit_replication":"https://pith.science/pith/CM2NRSMWRPE7HY7KHPGM3WI7KQ/action/replication_record"}},"created_at":"2026-07-05T07:32:56.188091+00:00","updated_at":"2026-07-05T07:32:56.188091+00:00"}