{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:XNU4LH7F4QHBASBSUZ7WTCZS7I","short_pith_number":"pith:XNU4LH7F","canonical_record":{"source":{"id":"1904.08672","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-04-18T10:29:23Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"7f03c0e7085d00510c24959c8585867a893be7a0481f532ef5221c36eaaf5e37","abstract_canon_sha256":"efea7c7ffb5bc0f4d220de2e293c09c87436e064fd0e07def41111964d5b184f"},"schema_version":"1.0"},"canonical_sha256":"bb69c59fe5e40e104832a67f698b32fa39ff917a4f5da8c3f055afc258cb48d3","source":{"kind":"arxiv","id":"1904.08672","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.08672","created_at":"2026-05-17T23:48:13Z"},{"alias_kind":"arxiv_version","alias_value":"1904.08672v1","created_at":"2026-05-17T23:48:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.08672","created_at":"2026-05-17T23:48:13Z"},{"alias_kind":"pith_short_12","alias_value":"XNU4LH7F4QHB","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XNU4LH7F4QHBASBS","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XNU4LH7F","created_at":"2026-05-18T12:33:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:XNU4LH7F4QHBASBSUZ7WTCZS7I","target":"record","payload":{"canonical_record":{"source":{"id":"1904.08672","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-04-18T10:29:23Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"7f03c0e7085d00510c24959c8585867a893be7a0481f532ef5221c36eaaf5e37","abstract_canon_sha256":"efea7c7ffb5bc0f4d220de2e293c09c87436e064fd0e07def41111964d5b184f"},"schema_version":"1.0"},"canonical_sha256":"bb69c59fe5e40e104832a67f698b32fa39ff917a4f5da8c3f055afc258cb48d3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:13.431566Z","signature_b64":"qon6Tchm5aI+Agq2ejOWaqbz1HmjHn64GjOFcAS1EflHViwQKNIjR8jphC+9z9Bz39exy5+tFgmODuvdhuhoDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb69c59fe5e40e104832a67f698b32fa39ff917a4f5da8c3f055afc258cb48d3","last_reissued_at":"2026-05-17T23:48:13.430831Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:13.430831Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.08672","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:48:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"63jp2prZgYLjF8DaBMbHjYEHpPMgle3n/+be+LpjXVZ72Sq8gqoEEnRekVpx9GE8wJ6yvD6K4OP2dBpT7uJWAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T03:07:16.193099Z"},"content_sha256":"9e04800b4e585f00a09fcd4c77240c8f1880f473f81d89ecb4ca3445f1934039","schema_version":"1.0","event_id":"sha256:9e04800b4e585f00a09fcd4c77240c8f1880f473f81d89ecb4ca3445f1934039"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:XNU4LH7F4QHBASBSUZ7WTCZS7I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Aurelien Belot, Bernard Rachet, Camille Maringe, Francisco J. Rubio, Roch Giorgi","submitted_at":"2019-04-18T10:29:23Z","abstract_excerpt":"In cancer epidemiology using population-based data, regression models for the excess mortality hazard is a useful method to estimate cancer survival and to describe the association between prognosis factors and excess mortality. This method requires expected mortality rates from general population life tables: each cancer patient is assigned an expected (background) mortality rate obtained from the life tables, typically at least according to their age and sex, from the population they belong to. However, those life tables may be insufficiently stratified, as some characteristics such as depri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.08672","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":""},"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":"2026-05-17T23:48:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qJeGl4RFJILYuYDB22Qf5oNRBHr32WAx1hud5Uz0X2B4BoeK9o1hcNdKxx9FJlK/bfIHEEf2/Xj1KktGXTekCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T03:07:16.193470Z"},"content_sha256":"9201dc8ef2922b15a24c6e6d70be1f9adc7d5c5106846e43127050faba8bb0dd","schema_version":"1.0","event_id":"sha256:9201dc8ef2922b15a24c6e6d70be1f9adc7d5c5106846e43127050faba8bb0dd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XNU4LH7F4QHBASBSUZ7WTCZS7I/bundle.json","state_url":"https://pith.science/pith/XNU4LH7F4QHBASBSUZ7WTCZS7I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XNU4LH7F4QHBASBSUZ7WTCZS7I/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":"2026-06-01T03:07:16Z","links":{"resolver":"https://pith.science/pith/XNU4LH7F4QHBASBSUZ7WTCZS7I","bundle":"https://pith.science/pith/XNU4LH7F4QHBASBSUZ7WTCZS7I/bundle.json","state":"https://pith.science/pith/XNU4LH7F4QHBASBSUZ7WTCZS7I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XNU4LH7F4QHBASBSUZ7WTCZS7I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:XNU4LH7F4QHBASBSUZ7WTCZS7I","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":"efea7c7ffb5bc0f4d220de2e293c09c87436e064fd0e07def41111964d5b184f","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-04-18T10:29:23Z","title_canon_sha256":"7f03c0e7085d00510c24959c8585867a893be7a0481f532ef5221c36eaaf5e37"},"schema_version":"1.0","source":{"id":"1904.08672","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.08672","created_at":"2026-05-17T23:48:13Z"},{"alias_kind":"arxiv_version","alias_value":"1904.08672v1","created_at":"2026-05-17T23:48:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.08672","created_at":"2026-05-17T23:48:13Z"},{"alias_kind":"pith_short_12","alias_value":"XNU4LH7F4QHB","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XNU4LH7F4QHBASBS","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XNU4LH7F","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:9201dc8ef2922b15a24c6e6d70be1f9adc7d5c5106846e43127050faba8bb0dd","target":"graph","created_at":"2026-05-17T23:48:13Z","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":"In cancer epidemiology using population-based data, regression models for the excess mortality hazard is a useful method to estimate cancer survival and to describe the association between prognosis factors and excess mortality. This method requires expected mortality rates from general population life tables: each cancer patient is assigned an expected (background) mortality rate obtained from the life tables, typically at least according to their age and sex, from the population they belong to. However, those life tables may be insufficiently stratified, as some characteristics such as depri","authors_text":"Aurelien Belot, Bernard Rachet, Camille Maringe, Francisco J. Rubio, Roch Giorgi","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-04-18T10:29:23Z","title":"On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.08672","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":"sha256:9e04800b4e585f00a09fcd4c77240c8f1880f473f81d89ecb4ca3445f1934039","target":"record","created_at":"2026-05-17T23:48:13Z","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":"efea7c7ffb5bc0f4d220de2e293c09c87436e064fd0e07def41111964d5b184f","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2019-04-18T10:29:23Z","title_canon_sha256":"7f03c0e7085d00510c24959c8585867a893be7a0481f532ef5221c36eaaf5e37"},"schema_version":"1.0","source":{"id":"1904.08672","kind":"arxiv","version":1}},"canonical_sha256":"bb69c59fe5e40e104832a67f698b32fa39ff917a4f5da8c3f055afc258cb48d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb69c59fe5e40e104832a67f698b32fa39ff917a4f5da8c3f055afc258cb48d3","first_computed_at":"2026-05-17T23:48:13.430831Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:13.430831Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qon6Tchm5aI+Agq2ejOWaqbz1HmjHn64GjOFcAS1EflHViwQKNIjR8jphC+9z9Bz39exy5+tFgmODuvdhuhoDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:13.431566Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.08672","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e04800b4e585f00a09fcd4c77240c8f1880f473f81d89ecb4ca3445f1934039","sha256:9201dc8ef2922b15a24c6e6d70be1f9adc7d5c5106846e43127050faba8bb0dd"],"state_sha256":"70513f43975df5f3560c4619105eafe3729009849398365f9b9ffe734e5a024a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rcltFRWfmDIIhTa1vPQN3WrALW3iQRZZAIli28ibZExdDM6wPjB694ntDUzNz38Nkk2qZ+ZHuyVVGN+RLGklCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T03:07:16.195526Z","bundle_sha256":"7ad83b6f90627d67eba41247d02eff63543e5370d422e492407a8d0e7065b1a8"}}