{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:OGGN7EVMDQRQ4UYZYWBCMDHBDW","short_pith_number":"pith:OGGN7EVM","canonical_record":{"source":{"id":"2310.18494","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-27T21:14:30Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"cbc0cc1bd496eb600cccc32cc02e3c157cf60f3c4fb0af55b6663e9ef14db1f9","abstract_canon_sha256":"c958f430ff5f19aeb38ef9f8e18113c45e2e2c39e4bd84bc21e352df6cbfc488"},"schema_version":"1.0"},"canonical_sha256":"718cdf92ac1c230e5319c582260ce11d98917b13e0d390a6d829fe7020ae14d8","source":{"kind":"arxiv","id":"2310.18494","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.18494","created_at":"2026-07-05T07:06:38Z"},{"alias_kind":"arxiv_version","alias_value":"2310.18494v1","created_at":"2026-07-05T07:06:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.18494","created_at":"2026-07-05T07:06:38Z"},{"alias_kind":"pith_short_12","alias_value":"OGGN7EVMDQRQ","created_at":"2026-07-05T07:06:38Z"},{"alias_kind":"pith_short_16","alias_value":"OGGN7EVMDQRQ4UYZ","created_at":"2026-07-05T07:06:38Z"},{"alias_kind":"pith_short_8","alias_value":"OGGN7EVM","created_at":"2026-07-05T07:06:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:OGGN7EVMDQRQ4UYZYWBCMDHBDW","target":"record","payload":{"canonical_record":{"source":{"id":"2310.18494","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-27T21:14:30Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"cbc0cc1bd496eb600cccc32cc02e3c157cf60f3c4fb0af55b6663e9ef14db1f9","abstract_canon_sha256":"c958f430ff5f19aeb38ef9f8e18113c45e2e2c39e4bd84bc21e352df6cbfc488"},"schema_version":"1.0"},"canonical_sha256":"718cdf92ac1c230e5319c582260ce11d98917b13e0d390a6d829fe7020ae14d8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:06:38.432981Z","signature_b64":"p/O8P6siuxxcOZThG30FKOt7nvVin7z8Eg5HyN+mWLFRgaPl0NLbWFgBzzCRA7bzomsBxu5SBnCEfVlD9EDdBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"718cdf92ac1c230e5319c582260ce11d98917b13e0d390a6d829fe7020ae14d8","last_reissued_at":"2026-07-05T07:06:38.432458Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:06:38.432458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.18494","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":"2026-07-05T07:06:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NT9gVndvUy0ice9SGN+aYvuaOwd0g3wlrHYZGz2DWdi1vAkeRUvMzMpsAZ0T8Qf300ZjEn2l83UgvkXnc2VwBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T13:00:21.382344Z"},"content_sha256":"f5e9b42e91cb53d9d712f11a2e8342c79007ac82e1ce3a6a7d3ccf0842331000","schema_version":"1.0","event_id":"sha256:f5e9b42e91cb53d9d712f11a2e8342c79007ac82e1ce3a6a7d3ccf0842331000"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:OGGN7EVMDQRQ4UYZYWBCMDHBDW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Aldo Badano, Berkman Sahiner, Diksha Sharma, Elena Sizikova, Jana G. Delfino, Miguel Lago, Niloufar Saharkhiz","submitted_at":"2023-10-27T21:14:30Z","abstract_excerpt":"To generate evidence regarding the safety and efficacy of artificial intelligence (AI) enabled medical devices, AI models need to be evaluated on a diverse population of patient cases, some of which may not be readily available. We propose an evaluation approach for testing medical imaging AI models that relies on in silico imaging pipelines in which stochastic digital models of human anatomy (in object space) with and without pathology are imaged using a digital replica imaging acquisition system to generate realistic synthetic image datasets. Here, we release M-SYNTH, a dataset of cohorts wi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.18494","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/2310.18494/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":"2026-07-05T07:06:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ffxkvu3oPWz0hVSSvUwmqWcf5TRv4/b2X+k9g/TBhlYlqFdwckamp6nasuWspbA1dEXf5XIBqWCv1JEGLCY0Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T13:00:21.382729Z"},"content_sha256":"76b2840814dfc0308941cae9f1edc34f7829c4b90abb971b428fa837bceb88a7","schema_version":"1.0","event_id":"sha256:76b2840814dfc0308941cae9f1edc34f7829c4b90abb971b428fa837bceb88a7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OGGN7EVMDQRQ4UYZYWBCMDHBDW/bundle.json","state_url":"https://pith.science/pith/OGGN7EVMDQRQ4UYZYWBCMDHBDW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OGGN7EVMDQRQ4UYZYWBCMDHBDW/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":"2026-08-04T13:00:21Z","links":{"resolver":"https://pith.science/pith/OGGN7EVMDQRQ4UYZYWBCMDHBDW","bundle":"https://pith.science/pith/OGGN7EVMDQRQ4UYZYWBCMDHBDW/bundle.json","state":"https://pith.science/pith/OGGN7EVMDQRQ4UYZYWBCMDHBDW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OGGN7EVMDQRQ4UYZYWBCMDHBDW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OGGN7EVMDQRQ4UYZYWBCMDHBDW","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":"c958f430ff5f19aeb38ef9f8e18113c45e2e2c39e4bd84bc21e352df6cbfc488","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-27T21:14:30Z","title_canon_sha256":"cbc0cc1bd496eb600cccc32cc02e3c157cf60f3c4fb0af55b6663e9ef14db1f9"},"schema_version":"1.0","source":{"id":"2310.18494","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.18494","created_at":"2026-07-05T07:06:38Z"},{"alias_kind":"arxiv_version","alias_value":"2310.18494v1","created_at":"2026-07-05T07:06:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.18494","created_at":"2026-07-05T07:06:38Z"},{"alias_kind":"pith_short_12","alias_value":"OGGN7EVMDQRQ","created_at":"2026-07-05T07:06:38Z"},{"alias_kind":"pith_short_16","alias_value":"OGGN7EVMDQRQ4UYZ","created_at":"2026-07-05T07:06:38Z"},{"alias_kind":"pith_short_8","alias_value":"OGGN7EVM","created_at":"2026-07-05T07:06:38Z"}],"graph_snapshots":[{"event_id":"sha256:76b2840814dfc0308941cae9f1edc34f7829c4b90abb971b428fa837bceb88a7","target":"graph","created_at":"2026-07-05T07:06:38Z","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/2310.18494/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To generate evidence regarding the safety and efficacy of artificial intelligence (AI) enabled medical devices, AI models need to be evaluated on a diverse population of patient cases, some of which may not be readily available. We propose an evaluation approach for testing medical imaging AI models that relies on in silico imaging pipelines in which stochastic digital models of human anatomy (in object space) with and without pathology are imaged using a digital replica imaging acquisition system to generate realistic synthetic image datasets. Here, we release M-SYNTH, a dataset of cohorts wi","authors_text":"Aldo Badano, Berkman Sahiner, Diksha Sharma, Elena Sizikova, Jana G. Delfino, Miguel Lago, Niloufar Saharkhiz","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-27T21:14:30Z","title":"Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.18494","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:f5e9b42e91cb53d9d712f11a2e8342c79007ac82e1ce3a6a7d3ccf0842331000","target":"record","created_at":"2026-07-05T07:06:38Z","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":"c958f430ff5f19aeb38ef9f8e18113c45e2e2c39e4bd84bc21e352df6cbfc488","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"eess.IV","submitted_at":"2023-10-27T21:14:30Z","title_canon_sha256":"cbc0cc1bd496eb600cccc32cc02e3c157cf60f3c4fb0af55b6663e9ef14db1f9"},"schema_version":"1.0","source":{"id":"2310.18494","kind":"arxiv","version":1}},"canonical_sha256":"718cdf92ac1c230e5319c582260ce11d98917b13e0d390a6d829fe7020ae14d8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"718cdf92ac1c230e5319c582260ce11d98917b13e0d390a6d829fe7020ae14d8","first_computed_at":"2026-07-05T07:06:38.432458Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:06:38.432458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p/O8P6siuxxcOZThG30FKOt7nvVin7z8Eg5HyN+mWLFRgaPl0NLbWFgBzzCRA7bzomsBxu5SBnCEfVlD9EDdBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:06:38.432981Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.18494","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f5e9b42e91cb53d9d712f11a2e8342c79007ac82e1ce3a6a7d3ccf0842331000","sha256:76b2840814dfc0308941cae9f1edc34f7829c4b90abb971b428fa837bceb88a7"],"state_sha256":"408f25d796455371a6d779966360db053aae369b376c33bc9511bb4cafda2c24"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oiiSXOkePhHOy9GfkJAUQHTfJlybsAW2HcFE8Fu8H3oX+E/69gcV55jRf7OdZ+uNc9VI6kQEMV3UEv+l4VGRCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T13:00:21.385819Z","bundle_sha256":"3449a5ee6c30f797b4d34c9d11ba15161b884f3f37d23b2a020a96a521d2a2c0"}}