{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:2BFV723OPMEWFBGDKF5TEJCQUH","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":"427728d061717638db87eb27bee9bd4487e23e981cda8e59f8993ab4406fd44e","cross_cats_sorted":["q-fin.ST"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-05-07T13:37:37Z","title_canon_sha256":"7ae7e195cf1dd169e5cab693ea17aeba377fbfd1c0935e4693856a1d90567e92"},"schema_version":"1.0","source":{"id":"1705.03396","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.03396","created_at":"2026-05-18T00:44:48Z"},{"alias_kind":"arxiv_version","alias_value":"1705.03396v1","created_at":"2026-05-18T00:44:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.03396","created_at":"2026-05-18T00:44:48Z"},{"alias_kind":"pith_short_12","alias_value":"2BFV723OPMEW","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"2BFV723OPMEWFBGD","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"2BFV723O","created_at":"2026-05-18T12:30:55Z"}],"graph_snapshots":[{"event_id":"sha256:0641720df606fd4b0bcb9fcdf16b33b79876e2f02bc880bc05bdef0b6140865b","target":"graph","created_at":"2026-05-18T00:44:48Z","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":"Various stochastic models have been proposed to estimate mortality rates. In this paper we illustrate how machine learning techniques allow us to analyze the quality of such mortality models. In addition, we present how these techniques can be used for differentiating the different causes of death in mortality modeling.","authors_text":"Mario V. W\\\"uthrich, Pavel V. Shevchenko, Philippe Deprez","cross_cats":["q-fin.ST"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-05-07T13:37:37Z","title":"Machine Learning Techniques for Mortality Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.03396","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":"sha256:34ff408804cd04f4fad894fb912a87b2a68fcba18b0af2eb30699c4a46583666","target":"record","created_at":"2026-05-18T00:44:48Z","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":"427728d061717638db87eb27bee9bd4487e23e981cda8e59f8993ab4406fd44e","cross_cats_sorted":["q-fin.ST"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-05-07T13:37:37Z","title_canon_sha256":"7ae7e195cf1dd169e5cab693ea17aeba377fbfd1c0935e4693856a1d90567e92"},"schema_version":"1.0","source":{"id":"1705.03396","kind":"arxiv","version":1}},"canonical_sha256":"d04b5feb6e7b096284c3517b322450a1ceec77973f3458e8fa7ffb2b4b5d2b21","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d04b5feb6e7b096284c3517b322450a1ceec77973f3458e8fa7ffb2b4b5d2b21","first_computed_at":"2026-05-18T00:44:48.001460Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:44:48.001460Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8RYjXN37ex2Rt57HhmLMd9y/a9lP01Sd2WkM30jJMe8jxnkKSBEM8QetXMFTma4a2j/o3R/P1osPMjB0cof2CA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:44:48.001962Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.03396","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34ff408804cd04f4fad894fb912a87b2a68fcba18b0af2eb30699c4a46583666","sha256:0641720df606fd4b0bcb9fcdf16b33b79876e2f02bc880bc05bdef0b6140865b"],"state_sha256":"3f9f013d8e49cae386fd12c00d0e1e6c25345f9a9b37a953af6038462f566854"}