{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:KN5PA2LSXZMKBGECV3BZ2IVTRU","short_pith_number":"pith:KN5PA2LS","canonical_record":{"source":{"id":"2402.09795","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-02-15T08:50:36Z","cross_cats_sorted":["cs.AI","cs.DB"],"title_canon_sha256":"580edbf896b4a06f3d0ffeab13edfa11f350f8c93b17fb31310cf9938739c0ff","abstract_canon_sha256":"53bad6f06759a71afc72eff0837012a2cfb8bd8115a45b8659e97b22b315c2ae"},"schema_version":"1.0"},"canonical_sha256":"537af06972be58a09882aec39d22b38d2f1568921a4b951177f7d14f47f8d46a","source":{"kind":"arxiv","id":"2402.09795","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.09795","created_at":"2026-07-05T07:45:37Z"},{"alias_kind":"arxiv_version","alias_value":"2402.09795v1","created_at":"2026-07-05T07:45:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.09795","created_at":"2026-07-05T07:45:37Z"},{"alias_kind":"pith_short_12","alias_value":"KN5PA2LSXZMK","created_at":"2026-07-05T07:45:37Z"},{"alias_kind":"pith_short_16","alias_value":"KN5PA2LSXZMKBGEC","created_at":"2026-07-05T07:45:37Z"},{"alias_kind":"pith_short_8","alias_value":"KN5PA2LS","created_at":"2026-07-05T07:45:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:KN5PA2LSXZMKBGECV3BZ2IVTRU","target":"record","payload":{"canonical_record":{"source":{"id":"2402.09795","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-02-15T08:50:36Z","cross_cats_sorted":["cs.AI","cs.DB"],"title_canon_sha256":"580edbf896b4a06f3d0ffeab13edfa11f350f8c93b17fb31310cf9938739c0ff","abstract_canon_sha256":"53bad6f06759a71afc72eff0837012a2cfb8bd8115a45b8659e97b22b315c2ae"},"schema_version":"1.0"},"canonical_sha256":"537af06972be58a09882aec39d22b38d2f1568921a4b951177f7d14f47f8d46a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:45:37.090697Z","signature_b64":"fCDBjUtehdD3I4x1/byxqGIyUx5I/ElWmUInXy0yX98xmG3u/3pAlp1/09txibaBphSm4FW/u62891cQO7AyAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"537af06972be58a09882aec39d22b38d2f1568921a4b951177f7d14f47f8d46a","last_reissued_at":"2026-07-05T07:45:37.090272Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:45:37.090272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.09795","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":"2026-07-05T07:45:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BqyV/ySl1wEEJ6DTWkQEN8FPMI92xGwkO2StfAEPTbsM8uhO9O7diQXT3UcWSLc0rQlj9SCmXJ5ESGBLiImUDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T04:32:52.315936Z"},"content_sha256":"9c7a19f0c24a46389cd492e1e290de12dd680bd47a30ea4bfe8b6b60ed71be1a","schema_version":"1.0","event_id":"sha256:9c7a19f0c24a46389cd492e1e290de12dd680bd47a30ea4bfe8b6b60ed71be1a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:KN5PA2LSXZMKBGECV3BZ2IVTRU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An advanced data fabric architecture leveraging homomorphic encryption and federated learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.DB"],"primary_cat":"cs.CR","authors_text":"A.B.M. Muntasir Rahman, Giancarlo Fortino, Md. Golam Rabiul Alam, Md. Raisul Kabir News, Michele Ianni, Mohammad Mehedi Hassan, Sadia Afrin Khan, Sakib Anwar Rieyan, Sultan Tasneem Jawad Zaarif","submitted_at":"2024-02-15T08:50:36Z","abstract_excerpt":"Data fabric is an automated and AI-driven data fusion approach to accomplish data management unification without moving data to a centralized location for solving complex data problems. In a Federated learning architecture, the global model is trained based on the learned parameters of several local models that eliminate the necessity of moving data to a centralized repository for machine learning. This paper introduces a secure approach for medical image analysis using federated learning and partially homomorphic encryption within a distributed data fabric architecture. With this method, mult"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.09795","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/2402.09795/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":"2026-07-05T07:45:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dTtndxIs/owvhFyL22t0AmjlxUNjHszE+71T2m3VpkoUKeDfHDPv7Syk4YUNB/iG+OH2Bl4a4p3ooDXFMESWCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T04:32:52.316311Z"},"content_sha256":"0cfb73065bfa399116687bc7ef20dd7edf14e83faef437d7999b2a3f6b529f30","schema_version":"1.0","event_id":"sha256:0cfb73065bfa399116687bc7ef20dd7edf14e83faef437d7999b2a3f6b529f30"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KN5PA2LSXZMKBGECV3BZ2IVTRU/bundle.json","state_url":"https://pith.science/pith/KN5PA2LSXZMKBGECV3BZ2IVTRU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KN5PA2LSXZMKBGECV3BZ2IVTRU/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":"2026-07-09T04:32:52Z","links":{"resolver":"https://pith.science/pith/KN5PA2LSXZMKBGECV3BZ2IVTRU","bundle":"https://pith.science/pith/KN5PA2LSXZMKBGECV3BZ2IVTRU/bundle.json","state":"https://pith.science/pith/KN5PA2LSXZMKBGECV3BZ2IVTRU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KN5PA2LSXZMKBGECV3BZ2IVTRU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KN5PA2LSXZMKBGECV3BZ2IVTRU","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":"53bad6f06759a71afc72eff0837012a2cfb8bd8115a45b8659e97b22b315c2ae","cross_cats_sorted":["cs.AI","cs.DB"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-02-15T08:50:36Z","title_canon_sha256":"580edbf896b4a06f3d0ffeab13edfa11f350f8c93b17fb31310cf9938739c0ff"},"schema_version":"1.0","source":{"id":"2402.09795","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.09795","created_at":"2026-07-05T07:45:37Z"},{"alias_kind":"arxiv_version","alias_value":"2402.09795v1","created_at":"2026-07-05T07:45:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.09795","created_at":"2026-07-05T07:45:37Z"},{"alias_kind":"pith_short_12","alias_value":"KN5PA2LSXZMK","created_at":"2026-07-05T07:45:37Z"},{"alias_kind":"pith_short_16","alias_value":"KN5PA2LSXZMKBGEC","created_at":"2026-07-05T07:45:37Z"},{"alias_kind":"pith_short_8","alias_value":"KN5PA2LS","created_at":"2026-07-05T07:45:37Z"}],"graph_snapshots":[{"event_id":"sha256:0cfb73065bfa399116687bc7ef20dd7edf14e83faef437d7999b2a3f6b529f30","target":"graph","created_at":"2026-07-05T07:45:37Z","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/2402.09795/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data fabric is an automated and AI-driven data fusion approach to accomplish data management unification without moving data to a centralized location for solving complex data problems. In a Federated learning architecture, the global model is trained based on the learned parameters of several local models that eliminate the necessity of moving data to a centralized repository for machine learning. This paper introduces a secure approach for medical image analysis using federated learning and partially homomorphic encryption within a distributed data fabric architecture. With this method, mult","authors_text":"A.B.M. Muntasir Rahman, Giancarlo Fortino, Md. Golam Rabiul Alam, Md. Raisul Kabir News, Michele Ianni, Mohammad Mehedi Hassan, Sadia Afrin Khan, Sakib Anwar Rieyan, Sultan Tasneem Jawad Zaarif","cross_cats":["cs.AI","cs.DB"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-02-15T08:50:36Z","title":"An advanced data fabric architecture leveraging homomorphic encryption and federated learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.09795","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":"sha256:9c7a19f0c24a46389cd492e1e290de12dd680bd47a30ea4bfe8b6b60ed71be1a","target":"record","created_at":"2026-07-05T07:45:37Z","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":"53bad6f06759a71afc72eff0837012a2cfb8bd8115a45b8659e97b22b315c2ae","cross_cats_sorted":["cs.AI","cs.DB"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2024-02-15T08:50:36Z","title_canon_sha256":"580edbf896b4a06f3d0ffeab13edfa11f350f8c93b17fb31310cf9938739c0ff"},"schema_version":"1.0","source":{"id":"2402.09795","kind":"arxiv","version":1}},"canonical_sha256":"537af06972be58a09882aec39d22b38d2f1568921a4b951177f7d14f47f8d46a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"537af06972be58a09882aec39d22b38d2f1568921a4b951177f7d14f47f8d46a","first_computed_at":"2026-07-05T07:45:37.090272Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:45:37.090272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fCDBjUtehdD3I4x1/byxqGIyUx5I/ElWmUInXy0yX98xmG3u/3pAlp1/09txibaBphSm4FW/u62891cQO7AyAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:45:37.090697Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.09795","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c7a19f0c24a46389cd492e1e290de12dd680bd47a30ea4bfe8b6b60ed71be1a","sha256:0cfb73065bfa399116687bc7ef20dd7edf14e83faef437d7999b2a3f6b529f30"],"state_sha256":"46e0bd135e74f82174c7110f833a3ffff3c3edf0fe320497efbaa9af10c5f600"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Px2DgGJzphLQcZ3LGxnkgIDLSqZHh5Hx5awzkr3fw8UPzNI518OwkAHpZBw8WEzRxvY+teYF007vufFJSwnVAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T04:32:52.318465Z","bundle_sha256":"2db1343b7ee0b50c79cc0e721f50d0047c4d7f6827b504e8e38f598df7f8c43e"}}