{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:WQGHGXAHQW6KC2DB56FU4A5SIP","short_pith_number":"pith:WQGHGXAH","canonical_record":{"source":{"id":"2012.05197","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-25T02:05:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"968e300cce4f5343cbbd95b31c400ab135c12f1dc6724dd417b4daf9dd1434a4","abstract_canon_sha256":"fb7dbe70011df1f39e7422cbf978d9cb3bf25cbadec4eb1b42b7d7e70e8e6f59"},"schema_version":"1.0"},"canonical_sha256":"b40c735c0785bca16861ef8b4e03b243dba44f8806a73a337fc6edfd707e43f7","source":{"kind":"arxiv","id":"2012.05197","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.05197","created_at":"2026-07-05T04:09:55Z"},{"alias_kind":"arxiv_version","alias_value":"2012.05197v1","created_at":"2026-07-05T04:09:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.05197","created_at":"2026-07-05T04:09:55Z"},{"alias_kind":"pith_short_12","alias_value":"WQGHGXAHQW6K","created_at":"2026-07-05T04:09:55Z"},{"alias_kind":"pith_short_16","alias_value":"WQGHGXAHQW6KC2DB","created_at":"2026-07-05T04:09:55Z"},{"alias_kind":"pith_short_8","alias_value":"WQGHGXAH","created_at":"2026-07-05T04:09:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:WQGHGXAHQW6KC2DB56FU4A5SIP","target":"record","payload":{"canonical_record":{"source":{"id":"2012.05197","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-25T02:05:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"968e300cce4f5343cbbd95b31c400ab135c12f1dc6724dd417b4daf9dd1434a4","abstract_canon_sha256":"fb7dbe70011df1f39e7422cbf978d9cb3bf25cbadec4eb1b42b7d7e70e8e6f59"},"schema_version":"1.0"},"canonical_sha256":"b40c735c0785bca16861ef8b4e03b243dba44f8806a73a337fc6edfd707e43f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:09:55.626031Z","signature_b64":"ulcJRNhYmy4SoSNEGI9tGUXXMFBWajVuTF8aEW4uTMy1SPLSqk6khIZPzQavWQXvTTcj8Dwk4LL5AEbTK4rACg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b40c735c0785bca16861ef8b4e03b243dba44f8806a73a337fc6edfd707e43f7","last_reissued_at":"2026-07-05T04:09:55.625538Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:09:55.625538Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.05197","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":"2026-07-05T04:09:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3a4NnmFm83eL1BzTgoI0AXIk15si4vo78l/fbRWwNV11HikOcfrAkxqQmuEOdF0gT0pL7yYbyC0/Wg0ATSvYCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T01:15:15.463924Z"},"content_sha256":"1da06c0d456a475e26901de718379814d0b337ade081fed910289e2050fe5993","schema_version":"1.0","event_id":"sha256:1da06c0d456a475e26901de718379814d0b337ade081fed910289e2050fe5993"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:WQGHGXAHQW6KC2DB56FU4A5SIP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Andreas Holzinger, Craig H. Mermel, David F. Steiner, Ellery Wulczyn, Farah Nader, Fraser Tan, Greg S. Corrado, Heimo Muller, Isabelle Flament-Auvigne, Kunal Nagpal, Kurt Zatloukal, Lily H. Peng, Mahul B. Amin, Markus Plass, Martin C. Stumpe, Matthew Symonds, Melissa Moran, Peter Regitnig, Po-Hsuan Cameron Chen, Robert Reihs, Trissia Brown, Yuannan Cai, Yun Liu","submitted_at":"2020-11-25T02:05:24Z","abstract_excerpt":"Gleason grading of prostate cancer is an important prognostic factor but suffers from poor reproducibility, particularly among non-subspecialist pathologists. Although artificial intelligence (A.I.) tools have demonstrated Gleason grading on-par with expert pathologists, it remains an open question whether A.I. grading translates to better prognostication. In this study, we developed a system to predict prostate-cancer specific mortality via A.I.-based Gleason grading and subsequently evaluated its ability to risk-stratify patients on an independent retrospective cohort of 2,807 prostatectomy "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.05197","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/2012.05197/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":"2026-07-05T04:09:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JYYRK3ft4UqGQ6wW6N8E5U68Uu/THq39+yLUP4YfD1dPUxATntPbsRaVRWlbH9QRMj9D7Q7kE+yDP2l7oHr/DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T01:15:15.464651Z"},"content_sha256":"74209301657b6715c997b472e0f05a2f120ed0180f66692f5a5d22950fbe6583","schema_version":"1.0","event_id":"sha256:74209301657b6715c997b472e0f05a2f120ed0180f66692f5a5d22950fbe6583"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WQGHGXAHQW6KC2DB56FU4A5SIP/bundle.json","state_url":"https://pith.science/pith/WQGHGXAHQW6KC2DB56FU4A5SIP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WQGHGXAHQW6KC2DB56FU4A5SIP/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":"2026-08-16T01:15:15Z","links":{"resolver":"https://pith.science/pith/WQGHGXAHQW6KC2DB56FU4A5SIP","bundle":"https://pith.science/pith/WQGHGXAHQW6KC2DB56FU4A5SIP/bundle.json","state":"https://pith.science/pith/WQGHGXAHQW6KC2DB56FU4A5SIP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WQGHGXAHQW6KC2DB56FU4A5SIP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:WQGHGXAHQW6KC2DB56FU4A5SIP","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":"fb7dbe70011df1f39e7422cbf978d9cb3bf25cbadec4eb1b42b7d7e70e8e6f59","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-25T02:05:24Z","title_canon_sha256":"968e300cce4f5343cbbd95b31c400ab135c12f1dc6724dd417b4daf9dd1434a4"},"schema_version":"1.0","source":{"id":"2012.05197","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.05197","created_at":"2026-07-05T04:09:55Z"},{"alias_kind":"arxiv_version","alias_value":"2012.05197v1","created_at":"2026-07-05T04:09:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.05197","created_at":"2026-07-05T04:09:55Z"},{"alias_kind":"pith_short_12","alias_value":"WQGHGXAHQW6K","created_at":"2026-07-05T04:09:55Z"},{"alias_kind":"pith_short_16","alias_value":"WQGHGXAHQW6KC2DB","created_at":"2026-07-05T04:09:55Z"},{"alias_kind":"pith_short_8","alias_value":"WQGHGXAH","created_at":"2026-07-05T04:09:55Z"}],"graph_snapshots":[{"event_id":"sha256:74209301657b6715c997b472e0f05a2f120ed0180f66692f5a5d22950fbe6583","target":"graph","created_at":"2026-07-05T04:09:55Z","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/2012.05197/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Gleason grading of prostate cancer is an important prognostic factor but suffers from poor reproducibility, particularly among non-subspecialist pathologists. Although artificial intelligence (A.I.) tools have demonstrated Gleason grading on-par with expert pathologists, it remains an open question whether A.I. grading translates to better prognostication. In this study, we developed a system to predict prostate-cancer specific mortality via A.I.-based Gleason grading and subsequently evaluated its ability to risk-stratify patients on an independent retrospective cohort of 2,807 prostatectomy ","authors_text":"Andreas Holzinger, Craig H. Mermel, David F. Steiner, Ellery Wulczyn, Farah Nader, Fraser Tan, Greg S. Corrado, Heimo Muller, Isabelle Flament-Auvigne, Kunal Nagpal, Kurt Zatloukal, Lily H. Peng, Mahul B. Amin, Markus Plass, Martin C. Stumpe, Matthew Symonds, Melissa Moran, Peter Regitnig, Po-Hsuan Cameron Chen, Robert Reihs, Trissia Brown, Yuannan Cai, Yun Liu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-25T02:05:24Z","title":"Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.05197","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":"sha256:1da06c0d456a475e26901de718379814d0b337ade081fed910289e2050fe5993","target":"record","created_at":"2026-07-05T04:09:55Z","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":"fb7dbe70011df1f39e7422cbf978d9cb3bf25cbadec4eb1b42b7d7e70e8e6f59","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-25T02:05:24Z","title_canon_sha256":"968e300cce4f5343cbbd95b31c400ab135c12f1dc6724dd417b4daf9dd1434a4"},"schema_version":"1.0","source":{"id":"2012.05197","kind":"arxiv","version":1}},"canonical_sha256":"b40c735c0785bca16861ef8b4e03b243dba44f8806a73a337fc6edfd707e43f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b40c735c0785bca16861ef8b4e03b243dba44f8806a73a337fc6edfd707e43f7","first_computed_at":"2026-07-05T04:09:55.625538Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:09:55.625538Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ulcJRNhYmy4SoSNEGI9tGUXXMFBWajVuTF8aEW4uTMy1SPLSqk6khIZPzQavWQXvTTcj8Dwk4LL5AEbTK4rACg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:09:55.626031Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.05197","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1da06c0d456a475e26901de718379814d0b337ade081fed910289e2050fe5993","sha256:74209301657b6715c997b472e0f05a2f120ed0180f66692f5a5d22950fbe6583"],"state_sha256":"3e827e045b628ba95b309ddf9c203b719603e9c7380721ddd8eaccab70c5a047"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dl5xs59nW9gEStPoFMWFIk3Y3gljRrW7hUS6SXWcHwD9wAceeCSAu4qKKsfUpE9DS0+T5iBs8sFidgF3+PNiBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T01:15:15.471460Z","bundle_sha256":"e68b8cb8d37d20ef3d50e964b32fed8ada7abd6c1dd03afd174f98825af1d0d6"}}