{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HVP4DDQ5OJC64M4XWS77ROVAWG","short_pith_number":"pith:HVP4DDQ5","canonical_record":{"source":{"id":"1912.11210","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-24T05:02:24Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"94216856d960e3f42923494fb1070394178c91ebf4ac122a3f603eae7a72e57a","abstract_canon_sha256":"4fc9fedf2c7adde8f32e0c2b1518824c81f90347ad3378773e236ace8b306716"},"schema_version":"1.0"},"canonical_sha256":"3d5fc18e1d7245ee3397b4bff8baa0b1bab960ed1119f78173c630f683bfa89a","source":{"kind":"arxiv","id":"1912.11210","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.11210","created_at":"2026-07-05T00:28:18Z"},{"alias_kind":"arxiv_version","alias_value":"1912.11210v1","created_at":"2026-07-05T00:28:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.11210","created_at":"2026-07-05T00:28:18Z"},{"alias_kind":"pith_short_12","alias_value":"HVP4DDQ5OJC6","created_at":"2026-07-05T00:28:18Z"},{"alias_kind":"pith_short_16","alias_value":"HVP4DDQ5OJC64M4X","created_at":"2026-07-05T00:28:18Z"},{"alias_kind":"pith_short_8","alias_value":"HVP4DDQ5","created_at":"2026-07-05T00:28:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HVP4DDQ5OJC64M4XWS77ROVAWG","target":"record","payload":{"canonical_record":{"source":{"id":"1912.11210","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-24T05:02:24Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"94216856d960e3f42923494fb1070394178c91ebf4ac122a3f603eae7a72e57a","abstract_canon_sha256":"4fc9fedf2c7adde8f32e0c2b1518824c81f90347ad3378773e236ace8b306716"},"schema_version":"1.0"},"canonical_sha256":"3d5fc18e1d7245ee3397b4bff8baa0b1bab960ed1119f78173c630f683bfa89a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:28:18.117198Z","signature_b64":"+PiaBwm6Onelx4O9jg1sxMDHmqLu4qqPMt8af/GQWFz9iPnchWpX4/q36CflUHdToLxaqHskcNIMfihJfrIHDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3d5fc18e1d7245ee3397b4bff8baa0b1bab960ed1119f78173c630f683bfa89a","last_reissued_at":"2026-07-05T00:28:18.116704Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:28:18.116704Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1912.11210","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":"2026-07-05T00:28:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"22ddlr11Hg977eQSl1rmL4on4dw5gyi9U7gfvxQhVVIs/WSuPAKMmn6TW8LlseYD+TbQS0eXVSNa2OskMxJEAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T14:31:44.845001Z"},"content_sha256":"1fae5f4e2c3874dc3c2f8c16e765b0bea60fd4cbd961f523ff1f548d9bad8c45","schema_version":"1.0","event_id":"sha256:1fae5f4e2c3874dc3c2f8c16e765b0bea60fd4cbd961f523ff1f548d9bad8c45"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HVP4DDQ5OJC64M4XWS77ROVAWG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On Sharing Models Instead of Data using Mimic learning for Smart Health Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Andrew Salazar, Kemal Akkaya, Mohamed Abdallah, Mohamed Baza, Mohamed Mahmoud","submitted_at":"2019-12-24T05:02:24Z","abstract_excerpt":"Electronic health records (EHR) systems contain vast amounts of medical information about patients. These data can be used to train machine learning models that can predict health status, as well as to help prevent future diseases or disabilities. However, getting patients' medical data to obtain well-trained machine learning models is a challenging task. This is because sharing the patients' medical records is prohibited by law in most countries due to patients privacy concerns. In this paper, we tackle this problem by sharing the models instead of the original sensitive data by using the mim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.11210","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/1912.11210/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":"2026-07-05T00:28:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3odu1Bxcxzu+yfE95lLkZHbftO4HnuiL8wttGypG8SoB2JhaAkSByawxrLVNYrR67cO3wW8I1SY8a5/Ah+PABw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T14:31:44.845384Z"},"content_sha256":"662d0aa49a593530feabb14253739495ebda3637e205e44bab4a836324df35b2","schema_version":"1.0","event_id":"sha256:662d0aa49a593530feabb14253739495ebda3637e205e44bab4a836324df35b2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HVP4DDQ5OJC64M4XWS77ROVAWG/bundle.json","state_url":"https://pith.science/pith/HVP4DDQ5OJC64M4XWS77ROVAWG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HVP4DDQ5OJC64M4XWS77ROVAWG/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":"2026-07-19T14:31:44Z","links":{"resolver":"https://pith.science/pith/HVP4DDQ5OJC64M4XWS77ROVAWG","bundle":"https://pith.science/pith/HVP4DDQ5OJC64M4XWS77ROVAWG/bundle.json","state":"https://pith.science/pith/HVP4DDQ5OJC64M4XWS77ROVAWG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HVP4DDQ5OJC64M4XWS77ROVAWG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HVP4DDQ5OJC64M4XWS77ROVAWG","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":"4fc9fedf2c7adde8f32e0c2b1518824c81f90347ad3378773e236ace8b306716","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-24T05:02:24Z","title_canon_sha256":"94216856d960e3f42923494fb1070394178c91ebf4ac122a3f603eae7a72e57a"},"schema_version":"1.0","source":{"id":"1912.11210","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.11210","created_at":"2026-07-05T00:28:18Z"},{"alias_kind":"arxiv_version","alias_value":"1912.11210v1","created_at":"2026-07-05T00:28:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.11210","created_at":"2026-07-05T00:28:18Z"},{"alias_kind":"pith_short_12","alias_value":"HVP4DDQ5OJC6","created_at":"2026-07-05T00:28:18Z"},{"alias_kind":"pith_short_16","alias_value":"HVP4DDQ5OJC64M4X","created_at":"2026-07-05T00:28:18Z"},{"alias_kind":"pith_short_8","alias_value":"HVP4DDQ5","created_at":"2026-07-05T00:28:18Z"}],"graph_snapshots":[{"event_id":"sha256:662d0aa49a593530feabb14253739495ebda3637e205e44bab4a836324df35b2","target":"graph","created_at":"2026-07-05T00:28:18Z","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/1912.11210/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Electronic health records (EHR) systems contain vast amounts of medical information about patients. These data can be used to train machine learning models that can predict health status, as well as to help prevent future diseases or disabilities. However, getting patients' medical data to obtain well-trained machine learning models is a challenging task. This is because sharing the patients' medical records is prohibited by law in most countries due to patients privacy concerns. In this paper, we tackle this problem by sharing the models instead of the original sensitive data by using the mim","authors_text":"Andrew Salazar, Kemal Akkaya, Mohamed Abdallah, Mohamed Baza, Mohamed Mahmoud","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-24T05:02:24Z","title":"On Sharing Models Instead of Data using Mimic learning for Smart Health Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.11210","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":"sha256:1fae5f4e2c3874dc3c2f8c16e765b0bea60fd4cbd961f523ff1f548d9bad8c45","target":"record","created_at":"2026-07-05T00:28:18Z","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":"4fc9fedf2c7adde8f32e0c2b1518824c81f90347ad3378773e236ace8b306716","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-12-24T05:02:24Z","title_canon_sha256":"94216856d960e3f42923494fb1070394178c91ebf4ac122a3f603eae7a72e57a"},"schema_version":"1.0","source":{"id":"1912.11210","kind":"arxiv","version":1}},"canonical_sha256":"3d5fc18e1d7245ee3397b4bff8baa0b1bab960ed1119f78173c630f683bfa89a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d5fc18e1d7245ee3397b4bff8baa0b1bab960ed1119f78173c630f683bfa89a","first_computed_at":"2026-07-05T00:28:18.116704Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:28:18.116704Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+PiaBwm6Onelx4O9jg1sxMDHmqLu4qqPMt8af/GQWFz9iPnchWpX4/q36CflUHdToLxaqHskcNIMfihJfrIHDA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:28:18.117198Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.11210","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1fae5f4e2c3874dc3c2f8c16e765b0bea60fd4cbd961f523ff1f548d9bad8c45","sha256:662d0aa49a593530feabb14253739495ebda3637e205e44bab4a836324df35b2"],"state_sha256":"cb87f544b7dfee4b0502fdf9787253f025b15b1ae8cc381b1d1325a2faef8759"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dH6B/T2v906LNhCMsUFg9DDWKGkdbkiGEzCl9T9dkIdwG02v82/mDvzmvxbhWet6R/faC7PoTEBdoXwZdDkFBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T14:31:44.847443Z","bundle_sha256":"26e054087bc92bed12114e0bb739907e33f3fd5770741255ac94777405871410"}}