{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RO33REFC66GR5QTELQCF5IEFXE","short_pith_number":"pith:RO33REFC","canonical_record":{"source":{"id":"2405.18878","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-05-29T08:36:42Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f82e30130264106efd6c3fcb651efcb138c6dd1330fd3d74ea713a790af6cbc7","abstract_canon_sha256":"d8d990be7a4616d860cde27dfe28d2eb233b86ecd901258bfafe4d9c67cb54b2"},"schema_version":"1.0"},"canonical_sha256":"8bb7b890a2f78d1ec2645c045ea085b928518ae2da54eeb73caac4cfd43f68dd","source":{"kind":"arxiv","id":"2405.18878","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.18878","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"arxiv_version","alias_value":"2405.18878v1","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.18878","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"pith_short_12","alias_value":"RO33REFC66GR","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"pith_short_16","alias_value":"RO33REFC66GR5QTE","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"pith_short_8","alias_value":"RO33REFC","created_at":"2026-07-05T08:24:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RO33REFC66GR5QTELQCF5IEFXE","target":"record","payload":{"canonical_record":{"source":{"id":"2405.18878","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-05-29T08:36:42Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f82e30130264106efd6c3fcb651efcb138c6dd1330fd3d74ea713a790af6cbc7","abstract_canon_sha256":"d8d990be7a4616d860cde27dfe28d2eb233b86ecd901258bfafe4d9c67cb54b2"},"schema_version":"1.0"},"canonical_sha256":"8bb7b890a2f78d1ec2645c045ea085b928518ae2da54eeb73caac4cfd43f68dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:24:44.707467Z","signature_b64":"a3iCNYzWxfJqZZ2G5gJ/F9vuEtOwxNNMz9PE05QCeeScECsOlFwafQxgl84TtFd5eMeOJ1gRiP1OhhzY7cXgCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8bb7b890a2f78d1ec2645c045ea085b928518ae2da54eeb73caac4cfd43f68dd","last_reissued_at":"2026-07-05T08:24:44.707053Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:24:44.707053Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.18878","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":"2026-07-05T08:24:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OUTS+mnlUI1sBOuvoaLQxRdy5zZhvxyzJ9rSPRrbQs693761Kw617zSgwtrGiTX+5Aw3JKKbtpr4Jymm+iNKBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:07:06.230268Z"},"content_sha256":"b7345b6902c14822b2c0226eb35e365232c4e4b2cfc6d5c5653f9f2153c0e36d","schema_version":"1.0","event_id":"sha256:b7345b6902c14822b2c0226eb35e365232c4e4b2cfc6d5c5653f9f2153c0e36d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RO33REFC66GR5QTELQCF5IEFXE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Privacy Preserving Data Imputation via Multi-party Computation for Medical Applications","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CR","authors_text":"Ali Burak \\\"Unal, \\c{S}eyma Selcan Ma\\u{g}ara, Julia Jentsch, Mete Akg\\\"un","submitted_at":"2024-05-29T08:36:42Z","abstract_excerpt":"Handling missing data is crucial in machine learning, but many datasets contain gaps due to errors or non-response. Unlike traditional methods such as listwise deletion, which are simple but inadequate, the literature offers more sophisticated and effective methods, thereby improving sample size and accuracy. However, these methods require accessing the whole dataset, which contradicts the privacy regulations when the data is distributed among multiple sources. Especially in the medical and healthcare domain, such access reveals sensitive information about patients. This study addresses privac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.18878","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/2405.18878/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":"2026-07-05T08:24:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OJgt8UmL4tQibVAOKg/Y/oCavXvJwOAbs6/ifX2KCUM6x5uNR7iXQTP0ts5FAszws5rJC8rA5YqY40urcb6qAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T11:07:06.230669Z"},"content_sha256":"55625425c7cc33197233a2a4a855cac584ef2b660a13c8736b21b271ce45c1d6","schema_version":"1.0","event_id":"sha256:55625425c7cc33197233a2a4a855cac584ef2b660a13c8736b21b271ce45c1d6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RO33REFC66GR5QTELQCF5IEFXE/bundle.json","state_url":"https://pith.science/pith/RO33REFC66GR5QTELQCF5IEFXE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RO33REFC66GR5QTELQCF5IEFXE/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":"2026-07-07T11:07:06Z","links":{"resolver":"https://pith.science/pith/RO33REFC66GR5QTELQCF5IEFXE","bundle":"https://pith.science/pith/RO33REFC66GR5QTELQCF5IEFXE/bundle.json","state":"https://pith.science/pith/RO33REFC66GR5QTELQCF5IEFXE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RO33REFC66GR5QTELQCF5IEFXE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RO33REFC66GR5QTELQCF5IEFXE","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":"d8d990be7a4616d860cde27dfe28d2eb233b86ecd901258bfafe4d9c67cb54b2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-05-29T08:36:42Z","title_canon_sha256":"f82e30130264106efd6c3fcb651efcb138c6dd1330fd3d74ea713a790af6cbc7"},"schema_version":"1.0","source":{"id":"2405.18878","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.18878","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"arxiv_version","alias_value":"2405.18878v1","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.18878","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"pith_short_12","alias_value":"RO33REFC66GR","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"pith_short_16","alias_value":"RO33REFC66GR5QTE","created_at":"2026-07-05T08:24:44Z"},{"alias_kind":"pith_short_8","alias_value":"RO33REFC","created_at":"2026-07-05T08:24:44Z"}],"graph_snapshots":[{"event_id":"sha256:55625425c7cc33197233a2a4a855cac584ef2b660a13c8736b21b271ce45c1d6","target":"graph","created_at":"2026-07-05T08:24:44Z","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/2405.18878/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Handling missing data is crucial in machine learning, but many datasets contain gaps due to errors or non-response. Unlike traditional methods such as listwise deletion, which are simple but inadequate, the literature offers more sophisticated and effective methods, thereby improving sample size and accuracy. However, these methods require accessing the whole dataset, which contradicts the privacy regulations when the data is distributed among multiple sources. Especially in the medical and healthcare domain, such access reveals sensitive information about patients. This study addresses privac","authors_text":"Ali Burak \\\"Unal, \\c{S}eyma Selcan Ma\\u{g}ara, Julia Jentsch, Mete Akg\\\"un","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-05-29T08:36:42Z","title":"Privacy Preserving Data Imputation via Multi-party Computation for Medical Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.18878","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:b7345b6902c14822b2c0226eb35e365232c4e4b2cfc6d5c5653f9f2153c0e36d","target":"record","created_at":"2026-07-05T08:24:44Z","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":"d8d990be7a4616d860cde27dfe28d2eb233b86ecd901258bfafe4d9c67cb54b2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-05-29T08:36:42Z","title_canon_sha256":"f82e30130264106efd6c3fcb651efcb138c6dd1330fd3d74ea713a790af6cbc7"},"schema_version":"1.0","source":{"id":"2405.18878","kind":"arxiv","version":1}},"canonical_sha256":"8bb7b890a2f78d1ec2645c045ea085b928518ae2da54eeb73caac4cfd43f68dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8bb7b890a2f78d1ec2645c045ea085b928518ae2da54eeb73caac4cfd43f68dd","first_computed_at":"2026-07-05T08:24:44.707053Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:44.707053Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a3iCNYzWxfJqZZ2G5gJ/F9vuEtOwxNNMz9PE05QCeeScECsOlFwafQxgl84TtFd5eMeOJ1gRiP1OhhzY7cXgCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:44.707467Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.18878","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b7345b6902c14822b2c0226eb35e365232c4e4b2cfc6d5c5653f9f2153c0e36d","sha256:55625425c7cc33197233a2a4a855cac584ef2b660a13c8736b21b271ce45c1d6"],"state_sha256":"c428f2a5ecebf366aa80f9fecaa82257c68455b41d5a2cc20e67a39e39b0c3ba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nTE/yPlj7H+0yeH+FuNu+MLNqj6snYT44Bhlu+qzA13Nwib4EWSupbmr8pC2XqAAOWSGDddlaXu7K5lD5SQxAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T11:07:06.232891Z","bundle_sha256":"94429a87495747623a0428a44192687e7a507eb5e405ac4326fdb8880eed81a3"}}