{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DUWPGZGD4UWAAH5B6BSM6HKD3U","short_pith_number":"pith:DUWPGZGD","canonical_record":{"source":{"id":"2406.10632","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-15T13:28:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3c09ae17da80c4024d1eb9ed52db5d22089982d893c78709cf6677f18f55dfde","abstract_canon_sha256":"f516415f76c882e47c86cbecb852d33d25aa620c221e58c469d6aab64884402f"},"schema_version":"1.0"},"canonical_sha256":"1d2cf364c3e52c001fa1f064cf1d43dd34f7d2628722fbb98c7513f25488161f","source":{"kind":"arxiv","id":"2406.10632","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.10632","created_at":"2026-07-05T08:32:19Z"},{"alias_kind":"arxiv_version","alias_value":"2406.10632v1","created_at":"2026-07-05T08:32:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.10632","created_at":"2026-07-05T08:32:19Z"},{"alias_kind":"pith_short_12","alias_value":"DUWPGZGD4UWA","created_at":"2026-07-05T08:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DUWPGZGD4UWAAH5B","created_at":"2026-07-05T08:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DUWPGZGD","created_at":"2026-07-05T08:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DUWPGZGD4UWAAH5B6BSM6HKD3U","target":"record","payload":{"canonical_record":{"source":{"id":"2406.10632","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-15T13:28:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3c09ae17da80c4024d1eb9ed52db5d22089982d893c78709cf6677f18f55dfde","abstract_canon_sha256":"f516415f76c882e47c86cbecb852d33d25aa620c221e58c469d6aab64884402f"},"schema_version":"1.0"},"canonical_sha256":"1d2cf364c3e52c001fa1f064cf1d43dd34f7d2628722fbb98c7513f25488161f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:32:19.432138Z","signature_b64":"7+FQg7YL7+u+awPTHn3s4TuTaFZJ/MtDe/LorQxxtLnFj5ZzOiIDs7aRkT/ofqidQZ4lvCWiCIutEsje4sv6Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d2cf364c3e52c001fa1f064cf1d43dd34f7d2628722fbb98c7513f25488161f","last_reissued_at":"2026-07-05T08:32:19.431739Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:32:19.431739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.10632","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":"2026-07-05T08:32:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3E1WthRSWyg4kyiKSevVeHoY100WiSYSnO1E9+jCiSeDb5rginqvzwzHdAq+ZWvaTTiIEs26q04sDbEz2Hd1Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:50:13.947083Z"},"content_sha256":"0b4c79b64f8d55f3b13ab6bfda0fe9b2a3005846cd06eb3d75db541856e6fb31","schema_version":"1.0","event_id":"sha256:0b4c79b64f8d55f3b13ab6bfda0fe9b2a3005846cd06eb3d75db541856e6fb31"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DUWPGZGD4UWAAH5B6BSM6HKD3U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Bonnie Gordon, Kamol Yunusov, Onyekachukwu R. Okonji","submitted_at":"2024-06-15T13:28:07Z","abstract_excerpt":"Generative AI is rapidly transforming medical imaging and text analysis, offering immense potential for enhanced diagnosis and personalized care. However, this transformative technology raises crucial ethical, societal, and legal questions. This paper delves into these complexities, examining issues of accuracy, informed consent, data privacy, and algorithmic limitations in the context of generative AI's application to medical imaging and text. We explore the legal landscape surrounding liability and accountability, emphasizing the need for robust regulatory frameworks. Furthermore, we dissect"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.10632","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/2406.10632/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":"2026-07-05T08:32:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xc8jWQVlTHJRJETWFUTqAgH6nEXMmx5Z9oKZZmemsKSs5W7R5Fp2tcv05Y9t0S/YJOnnQIpzqUGfVyuTiLEpAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:50:13.947634Z"},"content_sha256":"8625809a11523fe7b4f2e622a785296b24b9a0073745ec28435a1a8ddfb586bb","schema_version":"1.0","event_id":"sha256:8625809a11523fe7b4f2e622a785296b24b9a0073745ec28435a1a8ddfb586bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DUWPGZGD4UWAAH5B6BSM6HKD3U/bundle.json","state_url":"https://pith.science/pith/DUWPGZGD4UWAAH5B6BSM6HKD3U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DUWPGZGD4UWAAH5B6BSM6HKD3U/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":"2026-08-18T22:50:13Z","links":{"resolver":"https://pith.science/pith/DUWPGZGD4UWAAH5B6BSM6HKD3U","bundle":"https://pith.science/pith/DUWPGZGD4UWAAH5B6BSM6HKD3U/bundle.json","state":"https://pith.science/pith/DUWPGZGD4UWAAH5B6BSM6HKD3U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DUWPGZGD4UWAAH5B6BSM6HKD3U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DUWPGZGD4UWAAH5B6BSM6HKD3U","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":"f516415f76c882e47c86cbecb852d33d25aa620c221e58c469d6aab64884402f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-15T13:28:07Z","title_canon_sha256":"3c09ae17da80c4024d1eb9ed52db5d22089982d893c78709cf6677f18f55dfde"},"schema_version":"1.0","source":{"id":"2406.10632","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.10632","created_at":"2026-07-05T08:32:19Z"},{"alias_kind":"arxiv_version","alias_value":"2406.10632v1","created_at":"2026-07-05T08:32:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.10632","created_at":"2026-07-05T08:32:19Z"},{"alias_kind":"pith_short_12","alias_value":"DUWPGZGD4UWA","created_at":"2026-07-05T08:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DUWPGZGD4UWAAH5B","created_at":"2026-07-05T08:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DUWPGZGD","created_at":"2026-07-05T08:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:8625809a11523fe7b4f2e622a785296b24b9a0073745ec28435a1a8ddfb586bb","target":"graph","created_at":"2026-07-05T08:32:19Z","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/2406.10632/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative AI is rapidly transforming medical imaging and text analysis, offering immense potential for enhanced diagnosis and personalized care. However, this transformative technology raises crucial ethical, societal, and legal questions. This paper delves into these complexities, examining issues of accuracy, informed consent, data privacy, and algorithmic limitations in the context of generative AI's application to medical imaging and text. We explore the legal landscape surrounding liability and accountability, emphasizing the need for robust regulatory frameworks. Furthermore, we dissect","authors_text":"Bonnie Gordon, Kamol Yunusov, Onyekachukwu R. Okonji","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-15T13:28:07Z","title":"Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.10632","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":"sha256:0b4c79b64f8d55f3b13ab6bfda0fe9b2a3005846cd06eb3d75db541856e6fb31","target":"record","created_at":"2026-07-05T08:32:19Z","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":"f516415f76c882e47c86cbecb852d33d25aa620c221e58c469d6aab64884402f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-15T13:28:07Z","title_canon_sha256":"3c09ae17da80c4024d1eb9ed52db5d22089982d893c78709cf6677f18f55dfde"},"schema_version":"1.0","source":{"id":"2406.10632","kind":"arxiv","version":1}},"canonical_sha256":"1d2cf364c3e52c001fa1f064cf1d43dd34f7d2628722fbb98c7513f25488161f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d2cf364c3e52c001fa1f064cf1d43dd34f7d2628722fbb98c7513f25488161f","first_computed_at":"2026-07-05T08:32:19.431739Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:32:19.431739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7+FQg7YL7+u+awPTHn3s4TuTaFZJ/MtDe/LorQxxtLnFj5ZzOiIDs7aRkT/ofqidQZ4lvCWiCIutEsje4sv6Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:32:19.432138Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.10632","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0b4c79b64f8d55f3b13ab6bfda0fe9b2a3005846cd06eb3d75db541856e6fb31","sha256:8625809a11523fe7b4f2e622a785296b24b9a0073745ec28435a1a8ddfb586bb"],"state_sha256":"5dd02d0bcd1c3f0c90f30458cab618976ae20ce644f7e87bcc63c82de54088fb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lfFgzwqbuT3Hq4xknK3BZyO75/BpDJ2CrYf/zYn4xzD4ydIedShV7h7JBvTy00qNpw76hrp81RDTIcKBfec0BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T22:50:13.952328Z","bundle_sha256":"829cac5063b1a36eba51f6f2c5dfce41c99baa45597797f50f3bca38a941afe6"}}