{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:7EJE5JB3GSMTJYRVQD2WVUV3LN","short_pith_number":"pith:7EJE5JB3","canonical_record":{"source":{"id":"2204.05178","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-04-11T15:11:32Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"88edde0f7ce631da8ecc1e9dd9e54096ab09da9d34c9b0008cbc331c714afe25","abstract_canon_sha256":"a934855ee78b8c8e85815d4bcfcdb87fd27e22b988200fe7c98b03934cbb65d9"},"schema_version":"1.0"},"canonical_sha256":"f9124ea43b349934e23580f56ad2bb5b69bb28a03bffc67b8b7b196f962b285f","source":{"kind":"arxiv","id":"2204.05178","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.05178","created_at":"2026-07-05T04:13:18Z"},{"alias_kind":"arxiv_version","alias_value":"2204.05178v1","created_at":"2026-07-05T04:13:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.05178","created_at":"2026-07-05T04:13:18Z"},{"alias_kind":"pith_short_12","alias_value":"7EJE5JB3GSMT","created_at":"2026-07-05T04:13:18Z"},{"alias_kind":"pith_short_16","alias_value":"7EJE5JB3GSMTJYRV","created_at":"2026-07-05T04:13:18Z"},{"alias_kind":"pith_short_8","alias_value":"7EJE5JB3","created_at":"2026-07-05T04:13:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:7EJE5JB3GSMTJYRVQD2WVUV3LN","target":"record","payload":{"canonical_record":{"source":{"id":"2204.05178","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-04-11T15:11:32Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"88edde0f7ce631da8ecc1e9dd9e54096ab09da9d34c9b0008cbc331c714afe25","abstract_canon_sha256":"a934855ee78b8c8e85815d4bcfcdb87fd27e22b988200fe7c98b03934cbb65d9"},"schema_version":"1.0"},"canonical_sha256":"f9124ea43b349934e23580f56ad2bb5b69bb28a03bffc67b8b7b196f962b285f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:13:18.201934Z","signature_b64":"CfHErnk7GGHlyLKJS3TZWRs+pKg+wElUHgiddjPIaruRohxejFkfYoQe57PURthtpQoOndp7r8EY37bn/498Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f9124ea43b349934e23580f56ad2bb5b69bb28a03bffc67b8b7b196f962b285f","last_reissued_at":"2026-07-05T04:13:18.201482Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:13:18.201482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.05178","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":"2026-07-05T04:13:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qaAu1ArI24/vhNZlHmfzf0PnjEtBltudNQZ2jM76hiATHxT0joRYaBWqKeVMWokDpp4sSSJ5KShTDwZ/z//fDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T18:51:24.057185Z"},"content_sha256":"ed0f5ef3ee3864917f3e12b66da1361cca2fe246c32a731934ddf3c6e7b377e8","schema_version":"1.0","event_id":"sha256:ed0f5ef3ee3864917f3e12b66da1361cca2fe246c32a731934ddf3c6e7b377e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:7EJE5JB3GSMTJYRVQD2WVUV3LN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Unifying Framework for Flexible Excess Hazard Modeling with Applications in Cancer Epidemiology","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"A. Eletti, F. J. Rubio, G. Marra, M. Quaresma, R. Radice","submitted_at":"2022-04-11T15:11:32Z","abstract_excerpt":"Excess hazard modeling is one of the main tools in population-based cancer survival research. Indeed, this setting allows for direct modeling of the survival due to cancer even in the absence of reliable information on the cause of death, which is common in population-based cancer epidemiology studies. We propose a unifying link-based additive modeling framework for the excess hazard that allows for the inclusion of many types of covariate effects, including spatial and time-dependent effects, using any type of smoother, such as thin plate, cubic splines, tensor products and Markov random fiel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.05178","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/2204.05178/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":"2026-07-05T04:13:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HqDW3ZjtnzeM1i5rpxcGYN7zzYYRdRoA5FlWFpyhGF5s4DWcbLKQdiCn6Xw6cuIDVNrZW3ST5KuE30cM/mV1AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T18:51:24.058136Z"},"content_sha256":"f53fd61db3275d1f5549b86a44c997d0e47e97e4461d8e3cf3b3d0a0205bac88","schema_version":"1.0","event_id":"sha256:f53fd61db3275d1f5549b86a44c997d0e47e97e4461d8e3cf3b3d0a0205bac88"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7EJE5JB3GSMTJYRVQD2WVUV3LN/bundle.json","state_url":"https://pith.science/pith/7EJE5JB3GSMTJYRVQD2WVUV3LN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7EJE5JB3GSMTJYRVQD2WVUV3LN/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":"2026-08-17T18:51:24Z","links":{"resolver":"https://pith.science/pith/7EJE5JB3GSMTJYRVQD2WVUV3LN","bundle":"https://pith.science/pith/7EJE5JB3GSMTJYRVQD2WVUV3LN/bundle.json","state":"https://pith.science/pith/7EJE5JB3GSMTJYRVQD2WVUV3LN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7EJE5JB3GSMTJYRVQD2WVUV3LN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:7EJE5JB3GSMTJYRVQD2WVUV3LN","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":"a934855ee78b8c8e85815d4bcfcdb87fd27e22b988200fe7c98b03934cbb65d9","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-04-11T15:11:32Z","title_canon_sha256":"88edde0f7ce631da8ecc1e9dd9e54096ab09da9d34c9b0008cbc331c714afe25"},"schema_version":"1.0","source":{"id":"2204.05178","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.05178","created_at":"2026-07-05T04:13:18Z"},{"alias_kind":"arxiv_version","alias_value":"2204.05178v1","created_at":"2026-07-05T04:13:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.05178","created_at":"2026-07-05T04:13:18Z"},{"alias_kind":"pith_short_12","alias_value":"7EJE5JB3GSMT","created_at":"2026-07-05T04:13:18Z"},{"alias_kind":"pith_short_16","alias_value":"7EJE5JB3GSMTJYRV","created_at":"2026-07-05T04:13:18Z"},{"alias_kind":"pith_short_8","alias_value":"7EJE5JB3","created_at":"2026-07-05T04:13:18Z"}],"graph_snapshots":[{"event_id":"sha256:f53fd61db3275d1f5549b86a44c997d0e47e97e4461d8e3cf3b3d0a0205bac88","target":"graph","created_at":"2026-07-05T04:13:18Z","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/2204.05178/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Excess hazard modeling is one of the main tools in population-based cancer survival research. Indeed, this setting allows for direct modeling of the survival due to cancer even in the absence of reliable information on the cause of death, which is common in population-based cancer epidemiology studies. We propose a unifying link-based additive modeling framework for the excess hazard that allows for the inclusion of many types of covariate effects, including spatial and time-dependent effects, using any type of smoother, such as thin plate, cubic splines, tensor products and Markov random fiel","authors_text":"A. Eletti, F. J. Rubio, G. Marra, M. Quaresma, R. Radice","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-04-11T15:11:32Z","title":"A Unifying Framework for Flexible Excess Hazard Modeling with Applications in Cancer Epidemiology"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.05178","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:ed0f5ef3ee3864917f3e12b66da1361cca2fe246c32a731934ddf3c6e7b377e8","target":"record","created_at":"2026-07-05T04:13:18Z","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":"a934855ee78b8c8e85815d4bcfcdb87fd27e22b988200fe7c98b03934cbb65d9","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-04-11T15:11:32Z","title_canon_sha256":"88edde0f7ce631da8ecc1e9dd9e54096ab09da9d34c9b0008cbc331c714afe25"},"schema_version":"1.0","source":{"id":"2204.05178","kind":"arxiv","version":1}},"canonical_sha256":"f9124ea43b349934e23580f56ad2bb5b69bb28a03bffc67b8b7b196f962b285f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f9124ea43b349934e23580f56ad2bb5b69bb28a03bffc67b8b7b196f962b285f","first_computed_at":"2026-07-05T04:13:18.201482Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:13:18.201482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CfHErnk7GGHlyLKJS3TZWRs+pKg+wElUHgiddjPIaruRohxejFkfYoQe57PURthtpQoOndp7r8EY37bn/498Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:13:18.201934Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.05178","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed0f5ef3ee3864917f3e12b66da1361cca2fe246c32a731934ddf3c6e7b377e8","sha256:f53fd61db3275d1f5549b86a44c997d0e47e97e4461d8e3cf3b3d0a0205bac88"],"state_sha256":"fe1cc539a54bded869aff27ca13ba9ffe37c81b0a8df9407ca3dc606882a6a72"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R/x3INo9pe+DsuKM3OTUdruDRvmeb3+xwa1iw6Fsi3u6oj4JAGC7jfDsHwRyPfyK1FyaX/FEMQdzE1ZwSJ6fDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T18:51:24.099963Z","bundle_sha256":"6eddb620003a57309fbe4de5419a148f323c3aa515a7109eb662970e54e38f56"}}