{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:WYSGVXYK4Z5F4CZ4KIQMPW7HI6","short_pith_number":"pith:WYSGVXYK","canonical_record":{"source":{"id":"2001.09751","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-12-25T07:44:25Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4b136aa69d2ccd9b96bb7190d6281d6fd1642af256bd5272093ec34c91f5e7ce","abstract_canon_sha256":"20ab0333af20566c2dad6347d3b5ad4e053b39091a6189cc1edc450f8c196a9d"},"schema_version":"1.0"},"canonical_sha256":"b6246adf0ae67a5e0b3c5220c7dbe747b6cf713b178c8b5ce3d68c9e3016e2df","source":{"kind":"arxiv","id":"2001.09751","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.09751","created_at":"2026-07-05T01:53:36Z"},{"alias_kind":"arxiv_version","alias_value":"2001.09751v2","created_at":"2026-07-05T01:53:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.09751","created_at":"2026-07-05T01:53:36Z"},{"alias_kind":"pith_short_12","alias_value":"WYSGVXYK4Z5F","created_at":"2026-07-05T01:53:36Z"},{"alias_kind":"pith_short_16","alias_value":"WYSGVXYK4Z5F4CZ4","created_at":"2026-07-05T01:53:36Z"},{"alias_kind":"pith_short_8","alias_value":"WYSGVXYK","created_at":"2026-07-05T01:53:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:WYSGVXYK4Z5F4CZ4KIQMPW7HI6","target":"record","payload":{"canonical_record":{"source":{"id":"2001.09751","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-12-25T07:44:25Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4b136aa69d2ccd9b96bb7190d6281d6fd1642af256bd5272093ec34c91f5e7ce","abstract_canon_sha256":"20ab0333af20566c2dad6347d3b5ad4e053b39091a6189cc1edc450f8c196a9d"},"schema_version":"1.0"},"canonical_sha256":"b6246adf0ae67a5e0b3c5220c7dbe747b6cf713b178c8b5ce3d68c9e3016e2df","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:53:36.925257Z","signature_b64":"VDZe8Tmb+Zg4b+R7tqQDB//mPLrYPe/Gin+FY/0VP8yKbFo8xdmlTaY0h23tc2kN7gfu3lrMvOONUxhZU+35Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b6246adf0ae67a5e0b3c5220c7dbe747b6cf713b178c8b5ce3d68c9e3016e2df","last_reissued_at":"2026-07-05T01:53:36.924797Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:53:36.924797Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2001.09751","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:53:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UOvN+yUfMo1KtpY9j5350uSWj2t3JHMvBDhJCqR2vdzARWkSXfI5Dg7ujdopMIau0oCrsOyZh3YrfqKT9RsYAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T00:06:05.594443Z"},"content_sha256":"fafd9a32bf2eb964f4b34ec4feabf29638aba61552b4db6a6eef75a85bc6aa0e","schema_version":"1.0","event_id":"sha256:fafd9a32bf2eb964f4b34ec4feabf29638aba61552b4db6a6eef75a85bc6aa0e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:WYSGVXYK4Z5F4CZ4KIQMPW7HI6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CY","authors_text":"Dianbo Liu, Hao Deng, He Zhu, Jianfei Cui, Ziwei Chen","submitted_at":"2019-12-25T07:44:25Z","abstract_excerpt":"Sometimes electrical medical records are restricted and difficult to centralize for machine learning, which could only be trained in distributed manner that involved many institutions in the process. However, sometimes some institutions are likely to figure out the private data used for training certain models based on the parameters they obtained, which is a violation of privacy and certain regulations. Under those circumstances, we develop an algorithm, called 'federated machine learning with anonymous random hybridization'(abbreviated as 'FeARH'), using mainly hybridization algorithm to eli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.09751","kind":"arxiv","version":2},"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/2001.09751/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":"2026-07-05T01:53:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fIb33kyIZRXeLJY7JSNBZCBiAooaMaHttQMZ4VraM/gobP+tEJougXPBcoQbiUjzcJVwRqwc0Rl1hBHZMSH+Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T00:06:05.594969Z"},"content_sha256":"610e2902fc5864548c15307a32ed85287900410cee205d75732100c977fcbf73","schema_version":"1.0","event_id":"sha256:610e2902fc5864548c15307a32ed85287900410cee205d75732100c977fcbf73"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WYSGVXYK4Z5F4CZ4KIQMPW7HI6/bundle.json","state_url":"https://pith.science/pith/WYSGVXYK4Z5F4CZ4KIQMPW7HI6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WYSGVXYK4Z5F4CZ4KIQMPW7HI6/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":"2026-08-22T00:06:05Z","links":{"resolver":"https://pith.science/pith/WYSGVXYK4Z5F4CZ4KIQMPW7HI6","bundle":"https://pith.science/pith/WYSGVXYK4Z5F4CZ4KIQMPW7HI6/bundle.json","state":"https://pith.science/pith/WYSGVXYK4Z5F4CZ4KIQMPW7HI6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WYSGVXYK4Z5F4CZ4KIQMPW7HI6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:WYSGVXYK4Z5F4CZ4KIQMPW7HI6","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":"20ab0333af20566c2dad6347d3b5ad4e053b39091a6189cc1edc450f8c196a9d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-12-25T07:44:25Z","title_canon_sha256":"4b136aa69d2ccd9b96bb7190d6281d6fd1642af256bd5272093ec34c91f5e7ce"},"schema_version":"1.0","source":{"id":"2001.09751","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.09751","created_at":"2026-07-05T01:53:36Z"},{"alias_kind":"arxiv_version","alias_value":"2001.09751v2","created_at":"2026-07-05T01:53:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.09751","created_at":"2026-07-05T01:53:36Z"},{"alias_kind":"pith_short_12","alias_value":"WYSGVXYK4Z5F","created_at":"2026-07-05T01:53:36Z"},{"alias_kind":"pith_short_16","alias_value":"WYSGVXYK4Z5F4CZ4","created_at":"2026-07-05T01:53:36Z"},{"alias_kind":"pith_short_8","alias_value":"WYSGVXYK","created_at":"2026-07-05T01:53:36Z"}],"graph_snapshots":[{"event_id":"sha256:610e2902fc5864548c15307a32ed85287900410cee205d75732100c977fcbf73","target":"graph","created_at":"2026-07-05T01:53:36Z","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/2001.09751/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sometimes electrical medical records are restricted and difficult to centralize for machine learning, which could only be trained in distributed manner that involved many institutions in the process. However, sometimes some institutions are likely to figure out the private data used for training certain models based on the parameters they obtained, which is a violation of privacy and certain regulations. Under those circumstances, we develop an algorithm, called 'federated machine learning with anonymous random hybridization'(abbreviated as 'FeARH'), using mainly hybridization algorithm to eli","authors_text":"Dianbo Liu, Hao Deng, He Zhu, Jianfei Cui, Ziwei Chen","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-12-25T07:44:25Z","title":"Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.09751","kind":"arxiv","version":2},"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:fafd9a32bf2eb964f4b34ec4feabf29638aba61552b4db6a6eef75a85bc6aa0e","target":"record","created_at":"2026-07-05T01:53:36Z","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":"20ab0333af20566c2dad6347d3b5ad4e053b39091a6189cc1edc450f8c196a9d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2019-12-25T07:44:25Z","title_canon_sha256":"4b136aa69d2ccd9b96bb7190d6281d6fd1642af256bd5272093ec34c91f5e7ce"},"schema_version":"1.0","source":{"id":"2001.09751","kind":"arxiv","version":2}},"canonical_sha256":"b6246adf0ae67a5e0b3c5220c7dbe747b6cf713b178c8b5ce3d68c9e3016e2df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6246adf0ae67a5e0b3c5220c7dbe747b6cf713b178c8b5ce3d68c9e3016e2df","first_computed_at":"2026-07-05T01:53:36.924797Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:53:36.924797Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VDZe8Tmb+Zg4b+R7tqQDB//mPLrYPe/Gin+FY/0VP8yKbFo8xdmlTaY0h23tc2kN7gfu3lrMvOONUxhZU+35Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T01:53:36.925257Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.09751","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fafd9a32bf2eb964f4b34ec4feabf29638aba61552b4db6a6eef75a85bc6aa0e","sha256:610e2902fc5864548c15307a32ed85287900410cee205d75732100c977fcbf73"],"state_sha256":"849c42c880b74d7349cb0e588dc5dd4738aead625de9c1b33a5832431011f500"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J7LaR8XhlmLNLbQbU1E+T33xspvkKE/9iKCX3gEwZPO40IZOcFoJCaI0XXo9+VMZuyfhTTozLHFUBhopveCfCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T00:06:05.600134Z","bundle_sha256":"44ac9642820f047e74e7873e1d15e17fb9aa053f4fbe5344a52604e08b3898e1"}}