{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:5FY4P7R4CKHXROV6WDSPE5I5AN","short_pith_number":"pith:5FY4P7R4","canonical_record":{"source":{"id":"2008.10114","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-08-23T21:54:27Z","cross_cats_sorted":[],"title_canon_sha256":"aa569efaf5a6e6588816628088539bcd791bff390ca3e1853dc4269047865f33","abstract_canon_sha256":"8bcd4a04e70bb1e0abb469f9d31df76874c3a379bccee5afa3c28dce4d61b226"},"schema_version":"1.0"},"canonical_sha256":"e971c7fe3c128f78babeb0e4f2751d03718b915447ee7e61da625cd813b28701","source":{"kind":"arxiv","id":"2008.10114","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.10114","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"arxiv_version","alias_value":"2008.10114v1","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.10114","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"pith_short_12","alias_value":"5FY4P7R4CKHX","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"pith_short_16","alias_value":"5FY4P7R4CKHXROV6","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"pith_short_8","alias_value":"5FY4P7R4","created_at":"2026-07-05T01:29:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:5FY4P7R4CKHXROV6WDSPE5I5AN","target":"record","payload":{"canonical_record":{"source":{"id":"2008.10114","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-08-23T21:54:27Z","cross_cats_sorted":[],"title_canon_sha256":"aa569efaf5a6e6588816628088539bcd791bff390ca3e1853dc4269047865f33","abstract_canon_sha256":"8bcd4a04e70bb1e0abb469f9d31df76874c3a379bccee5afa3c28dce4d61b226"},"schema_version":"1.0"},"canonical_sha256":"e971c7fe3c128f78babeb0e4f2751d03718b915447ee7e61da625cd813b28701","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:29:20.791264Z","signature_b64":"iJFLchs8RP27082DFgqUNgJvIw3MYqRIWwji3naprOWTjaBQN/m/VvSPMVsolocMVesPldAei0EqEgAGRpfYDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e971c7fe3c128f78babeb0e4f2751d03718b915447ee7e61da625cd813b28701","last_reissued_at":"2026-07-05T01:29:20.790798Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:29:20.790798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.10114","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":"2026-07-05T01:29:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AxUJtjKjaP1/DsZYJMsfdB71lqoV/A5aoUOrr7CMa5W+sQF7cIO6IQeW1hU5UGaEYXYjcNiI5THyeUbjlLRpBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T10:53:53.579509Z"},"content_sha256":"c006202317584d2bfc560c4e52a69747a615b0e17e5bdc50e8be9e81359e5e4f","schema_version":"1.0","event_id":"sha256:c006202317584d2bfc560c4e52a69747a615b0e17e5bdc50e8be9e81359e5e4f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:5FY4P7R4CKHXROV6WDSPE5I5AN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Abbas Khosravi, Adham Beykikhoshk, Afsaneh Koohestani, Afshin Shoeibi, Amir F. Atiya, Assef Zare, Dipti Srinivasan, Maryam Panahiazar, Mohamad Roshanzamir, Mohammad Hossein Zangooei, Moloud Abdar, Roohallah Alizadehsani, Sadiq Hussain, Saeid Nahavandi, U. Rajendra Acharya","submitted_at":"2020-08-23T21:54:27Z","abstract_excerpt":"Understanding data and reaching valid conclusions are of paramount importance in the present era of big data. Machine learning and probability theory methods have widespread application for this purpose in different fields. One critically important yet less explored aspect is how data and model uncertainties are captured and analyzed. Proper quantification of uncertainty provides valuable information for optimal decision making. This paper reviewed related studies conducted in the last 30 years (from 1991 to 2020) in handling uncertainties in medical data using probability theory and machine l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.10114","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/2008.10114/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":"2026-07-05T01:29:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+3vsWJ8XM2jS8a2BFeqMag6aDdjRYQeQCw9FI7DZHoWVFv5mkef/BAjUNDXQq1mDnqjK5QeVJUasjl0UZxOXCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T10:53:53.580076Z"},"content_sha256":"008fc3c2e040fdc3122a652c5c87c7284ae4c11b52be74f6f450f1d7a3e1ed46","schema_version":"1.0","event_id":"sha256:008fc3c2e040fdc3122a652c5c87c7284ae4c11b52be74f6f450f1d7a3e1ed46"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5FY4P7R4CKHXROV6WDSPE5I5AN/bundle.json","state_url":"https://pith.science/pith/5FY4P7R4CKHXROV6WDSPE5I5AN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5FY4P7R4CKHXROV6WDSPE5I5AN/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":"2026-08-23T10:53:53Z","links":{"resolver":"https://pith.science/pith/5FY4P7R4CKHXROV6WDSPE5I5AN","bundle":"https://pith.science/pith/5FY4P7R4CKHXROV6WDSPE5I5AN/bundle.json","state":"https://pith.science/pith/5FY4P7R4CKHXROV6WDSPE5I5AN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5FY4P7R4CKHXROV6WDSPE5I5AN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:5FY4P7R4CKHXROV6WDSPE5I5AN","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":"8bcd4a04e70bb1e0abb469f9d31df76874c3a379bccee5afa3c28dce4d61b226","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-08-23T21:54:27Z","title_canon_sha256":"aa569efaf5a6e6588816628088539bcd791bff390ca3e1853dc4269047865f33"},"schema_version":"1.0","source":{"id":"2008.10114","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.10114","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"arxiv_version","alias_value":"2008.10114v1","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.10114","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"pith_short_12","alias_value":"5FY4P7R4CKHX","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"pith_short_16","alias_value":"5FY4P7R4CKHXROV6","created_at":"2026-07-05T01:29:20Z"},{"alias_kind":"pith_short_8","alias_value":"5FY4P7R4","created_at":"2026-07-05T01:29:20Z"}],"graph_snapshots":[{"event_id":"sha256:008fc3c2e040fdc3122a652c5c87c7284ae4c11b52be74f6f450f1d7a3e1ed46","target":"graph","created_at":"2026-07-05T01:29:20Z","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/2008.10114/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Understanding data and reaching valid conclusions are of paramount importance in the present era of big data. Machine learning and probability theory methods have widespread application for this purpose in different fields. One critically important yet less explored aspect is how data and model uncertainties are captured and analyzed. Proper quantification of uncertainty provides valuable information for optimal decision making. This paper reviewed related studies conducted in the last 30 years (from 1991 to 2020) in handling uncertainties in medical data using probability theory and machine l","authors_text":"Abbas Khosravi, Adham Beykikhoshk, Afsaneh Koohestani, Afshin Shoeibi, Amir F. Atiya, Assef Zare, Dipti Srinivasan, Maryam Panahiazar, Mohamad Roshanzamir, Mohammad Hossein Zangooei, Moloud Abdar, Roohallah Alizadehsani, Sadiq Hussain, Saeid Nahavandi, U. Rajendra Acharya","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-08-23T21:54:27Z","title":"Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.10114","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:c006202317584d2bfc560c4e52a69747a615b0e17e5bdc50e8be9e81359e5e4f","target":"record","created_at":"2026-07-05T01:29:20Z","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":"8bcd4a04e70bb1e0abb469f9d31df76874c3a379bccee5afa3c28dce4d61b226","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2020-08-23T21:54:27Z","title_canon_sha256":"aa569efaf5a6e6588816628088539bcd791bff390ca3e1853dc4269047865f33"},"schema_version":"1.0","source":{"id":"2008.10114","kind":"arxiv","version":1}},"canonical_sha256":"e971c7fe3c128f78babeb0e4f2751d03718b915447ee7e61da625cd813b28701","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e971c7fe3c128f78babeb0e4f2751d03718b915447ee7e61da625cd813b28701","first_computed_at":"2026-07-05T01:29:20.790798Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:29:20.790798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iJFLchs8RP27082DFgqUNgJvIw3MYqRIWwji3naprOWTjaBQN/m/VvSPMVsolocMVesPldAei0EqEgAGRpfYDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:29:20.791264Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.10114","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c006202317584d2bfc560c4e52a69747a615b0e17e5bdc50e8be9e81359e5e4f","sha256:008fc3c2e040fdc3122a652c5c87c7284ae4c11b52be74f6f450f1d7a3e1ed46"],"state_sha256":"b185cdeabb77ed98faf26274e432b5ceb29fbcce6f689906d83f9c7d53bb4c1d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yQqmxBjfNhqcXeckhYYbZ3vNHTeW4NNkkt7lHpKNC2D/TIJf0IFZN2XJh1ElIxmnAzAvy2mvl92Ddut8ap83Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T10:53:53.584998Z","bundle_sha256":"4c592a973f8dd6d124a4ebde43d0f6d5add347480f706edc1dab6ad0df5e0b3e"}}