{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:TKWIYDBMKZO44FIPKAVRHZSUF6","short_pith_number":"pith:TKWIYDBM","canonical_record":{"source":{"id":"2008.07734","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2020-08-18T04:17:58Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"86286a2340011b7aa906d6793a2e786acc7cb2dd946da8d409561426f8e1ee0a","abstract_canon_sha256":"bded89d96df105f9bbff98908f67dcda42195a641e957c8d5f45777fccfab738"},"schema_version":"1.0"},"canonical_sha256":"9aac8c0c2c565dce150f502b13e6542f9b50de0e7266f1cf7313e40299eb1e54","source":{"kind":"arxiv","id":"2008.07734","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.07734","created_at":"2026-07-05T01:27:54Z"},{"alias_kind":"arxiv_version","alias_value":"2008.07734v1","created_at":"2026-07-05T01:27:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.07734","created_at":"2026-07-05T01:27:54Z"},{"alias_kind":"pith_short_12","alias_value":"TKWIYDBMKZO4","created_at":"2026-07-05T01:27:54Z"},{"alias_kind":"pith_short_16","alias_value":"TKWIYDBMKZO44FIP","created_at":"2026-07-05T01:27:54Z"},{"alias_kind":"pith_short_8","alias_value":"TKWIYDBM","created_at":"2026-07-05T01:27:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:TKWIYDBMKZO44FIPKAVRHZSUF6","target":"record","payload":{"canonical_record":{"source":{"id":"2008.07734","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2020-08-18T04:17:58Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"86286a2340011b7aa906d6793a2e786acc7cb2dd946da8d409561426f8e1ee0a","abstract_canon_sha256":"bded89d96df105f9bbff98908f67dcda42195a641e957c8d5f45777fccfab738"},"schema_version":"1.0"},"canonical_sha256":"9aac8c0c2c565dce150f502b13e6542f9b50de0e7266f1cf7313e40299eb1e54","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:27:54.545234Z","signature_b64":"0bNjeZXmlJkCCXF2HKPtRmgUkuFd8h8eV9z1fn1lDhNRNHLfP4hh/wpd27dZElHVez6vpenggAhGvf1X7N/uCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9aac8c0c2c565dce150f502b13e6542f9b50de0e7266f1cf7313e40299eb1e54","last_reissued_at":"2026-07-05T01:27:54.544834Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:27:54.544834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.07734","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":"2026-07-05T01:27:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TLRnUu9vEwucHUNuEai3SdNM+Y44EsSlZiBjA5bVRF35CyL1wKGSZbKM0JATjuwt/pfpmZR2W9+Un84gtchZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T14:39:53.441696Z"},"content_sha256":"666b40863f3d6c381773e52ad7a5e8f137eb6ef08716cb0ededbae2d0f07501b","schema_version":"1.0","event_id":"sha256:666b40863f3d6c381773e52ad7a5e8f137eb6ef08716cb0ededbae2d0f07501b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:TKWIYDBMKZO44FIPKAVRHZSUF6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Trust and Medical AI: The challenges we face and the expertise needed to overcome them","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.AI","authors_text":"Manisha Senadeera, Simon Coghlan, Stephan Jacobs, Thomas P. Quinn, Vuong Le","submitted_at":"2020-08-18T04:17:58Z","abstract_excerpt":"Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. However, failures of medical AI could have serious consequences for both clinical outcomes and the patient experience. These consequences could erode public trust in AI, which could in turn undermine trust in our healthcare institutions. This article makes two contributions. First, it describes the major conceptual, technical, and humanistic challenges in medical AI. Second, it proposes a solution that hinges on the education and accreditation of new expert groups who specialize in the development, verifi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.07734","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/2008.07734/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":"2026-07-05T01:27:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mkMZF/ibBHZySbrLoEIS28qj3+Y6RB3/2G41wWpUGhYzU5Z1MMnyxrNOwfRxZ8mPTgKuMV/Ozobv3GSLo6v9AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T14:39:53.442111Z"},"content_sha256":"a436544e94c2688e725f346c7210a5ee72e86903830fe6ff8a22668f5c8794d7","schema_version":"1.0","event_id":"sha256:a436544e94c2688e725f346c7210a5ee72e86903830fe6ff8a22668f5c8794d7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TKWIYDBMKZO44FIPKAVRHZSUF6/bundle.json","state_url":"https://pith.science/pith/TKWIYDBMKZO44FIPKAVRHZSUF6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TKWIYDBMKZO44FIPKAVRHZSUF6/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":"2026-07-05T14:39:53Z","links":{"resolver":"https://pith.science/pith/TKWIYDBMKZO44FIPKAVRHZSUF6","bundle":"https://pith.science/pith/TKWIYDBMKZO44FIPKAVRHZSUF6/bundle.json","state":"https://pith.science/pith/TKWIYDBMKZO44FIPKAVRHZSUF6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TKWIYDBMKZO44FIPKAVRHZSUF6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:TKWIYDBMKZO44FIPKAVRHZSUF6","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":"bded89d96df105f9bbff98908f67dcda42195a641e957c8d5f45777fccfab738","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2020-08-18T04:17:58Z","title_canon_sha256":"86286a2340011b7aa906d6793a2e786acc7cb2dd946da8d409561426f8e1ee0a"},"schema_version":"1.0","source":{"id":"2008.07734","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.07734","created_at":"2026-07-05T01:27:54Z"},{"alias_kind":"arxiv_version","alias_value":"2008.07734v1","created_at":"2026-07-05T01:27:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.07734","created_at":"2026-07-05T01:27:54Z"},{"alias_kind":"pith_short_12","alias_value":"TKWIYDBMKZO4","created_at":"2026-07-05T01:27:54Z"},{"alias_kind":"pith_short_16","alias_value":"TKWIYDBMKZO44FIP","created_at":"2026-07-05T01:27:54Z"},{"alias_kind":"pith_short_8","alias_value":"TKWIYDBM","created_at":"2026-07-05T01:27:54Z"}],"graph_snapshots":[{"event_id":"sha256:a436544e94c2688e725f346c7210a5ee72e86903830fe6ff8a22668f5c8794d7","target":"graph","created_at":"2026-07-05T01:27:54Z","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/2008.07734/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. However, failures of medical AI could have serious consequences for both clinical outcomes and the patient experience. These consequences could erode public trust in AI, which could in turn undermine trust in our healthcare institutions. This article makes two contributions. First, it describes the major conceptual, technical, and humanistic challenges in medical AI. Second, it proposes a solution that hinges on the education and accreditation of new expert groups who specialize in the development, verifi","authors_text":"Manisha Senadeera, Simon Coghlan, Stephan Jacobs, Thomas P. Quinn, Vuong Le","cross_cats":["cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2020-08-18T04:17:58Z","title":"Trust and Medical AI: The challenges we face and the expertise needed to overcome them"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.07734","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":"sha256:666b40863f3d6c381773e52ad7a5e8f137eb6ef08716cb0ededbae2d0f07501b","target":"record","created_at":"2026-07-05T01:27:54Z","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":"bded89d96df105f9bbff98908f67dcda42195a641e957c8d5f45777fccfab738","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2020-08-18T04:17:58Z","title_canon_sha256":"86286a2340011b7aa906d6793a2e786acc7cb2dd946da8d409561426f8e1ee0a"},"schema_version":"1.0","source":{"id":"2008.07734","kind":"arxiv","version":1}},"canonical_sha256":"9aac8c0c2c565dce150f502b13e6542f9b50de0e7266f1cf7313e40299eb1e54","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9aac8c0c2c565dce150f502b13e6542f9b50de0e7266f1cf7313e40299eb1e54","first_computed_at":"2026-07-05T01:27:54.544834Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:27:54.544834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0bNjeZXmlJkCCXF2HKPtRmgUkuFd8h8eV9z1fn1lDhNRNHLfP4hh/wpd27dZElHVez6vpenggAhGvf1X7N/uCg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:27:54.545234Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.07734","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:666b40863f3d6c381773e52ad7a5e8f137eb6ef08716cb0ededbae2d0f07501b","sha256:a436544e94c2688e725f346c7210a5ee72e86903830fe6ff8a22668f5c8794d7"],"state_sha256":"17771a3ef5fdb09bb2a6a402a85725138c6330c4838ddf4b32e9e82c727ddcaf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1ux4Iu0vgnEG9FIbqpFkuQQVLFn5dJDM5BB6hrOrmPU88dyxoc7iyoTDHMDQpRC39V5r7zdR83k3K0BDEtfdCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T14:39:53.444357Z","bundle_sha256":"9c9836b96465eb23616b8f3d8fe4356dd987d98cff9a34321ffb1c2430627883"}}