{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LQNG634ZTMEJAYSN6QB6GI6SJ7","short_pith_number":"pith:LQNG634Z","canonical_record":{"source":{"id":"2508.10017","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-08-06T20:47:50Z","cross_cats_sorted":["cs.AI","cs.LG","cs.SE"],"title_canon_sha256":"48c2c577d44f3e93a0e8bb5ff52658d2fe4140ccc2f2af47a6178d6dfb0181c4","abstract_canon_sha256":"4b2b862bf1361b236654fbcdd42ed81f4c6d4a97c9aa7140eb3c3ea5cca0b037"},"schema_version":"1.0"},"canonical_sha256":"5c1a6f6f999b0890624df403e323d24fcddcdb4cf46f49f52ec2487fa709ac1d","source":{"kind":"arxiv","id":"2508.10017","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.10017","created_at":"2026-07-05T11:53:29Z"},{"alias_kind":"arxiv_version","alias_value":"2508.10017v1","created_at":"2026-07-05T11:53:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.10017","created_at":"2026-07-05T11:53:29Z"},{"alias_kind":"pith_short_12","alias_value":"LQNG634ZTMEJ","created_at":"2026-07-05T11:53:29Z"},{"alias_kind":"pith_short_16","alias_value":"LQNG634ZTMEJAYSN","created_at":"2026-07-05T11:53:29Z"},{"alias_kind":"pith_short_8","alias_value":"LQNG634Z","created_at":"2026-07-05T11:53:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LQNG634ZTMEJAYSN6QB6GI6SJ7","target":"record","payload":{"canonical_record":{"source":{"id":"2508.10017","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-08-06T20:47:50Z","cross_cats_sorted":["cs.AI","cs.LG","cs.SE"],"title_canon_sha256":"48c2c577d44f3e93a0e8bb5ff52658d2fe4140ccc2f2af47a6178d6dfb0181c4","abstract_canon_sha256":"4b2b862bf1361b236654fbcdd42ed81f4c6d4a97c9aa7140eb3c3ea5cca0b037"},"schema_version":"1.0"},"canonical_sha256":"5c1a6f6f999b0890624df403e323d24fcddcdb4cf46f49f52ec2487fa709ac1d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:53:29.321121Z","signature_b64":"F3zkHj9yB7B3sBKHCzacwImvyOsXBIh0lBUOgk/NYBCYdNSNcsYwCfNV9XGQ6ic2+GkmkVqhCGr4jmxD5gACBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c1a6f6f999b0890624df403e323d24fcddcdb4cf46f49f52ec2487fa709ac1d","last_reissued_at":"2026-07-05T11:53:29.320687Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:53:29.320687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.10017","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":"2026-07-05T11:53:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+FIFIvB4g/f3K/TDWnpdxYZ8xBPPmSyE1Mhk2mpelQde8mwOYkr8+kRLmrrY0KTUk6baI5cWsCrxNNjDfEdUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T17:41:01.385287Z"},"content_sha256":"90932525f0e6f81e6568768cdc31a9ac5fa176c7a0606d78c2f0c9c21a4692d4","schema_version":"1.0","event_id":"sha256:90932525f0e6f81e6568768cdc31a9ac5fa176c7a0606d78c2f0c9c21a4692d4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LQNG634ZTMEJAYSN6QB6GI6SJ7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Data using SMOTETomek and FedProx","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.SE"],"primary_cat":"cs.CR","authors_text":"Rodrigo Tertulino","submitted_at":"2025-08-06T20:47:50Z","abstract_excerpt":"Federated Learning (FL) presents a groundbreaking approach for collaborative health research, allowing model training on decentralized data while safeguarding patient privacy. FL offers formal security guarantees when combined with Differential Privacy (DP). The integration of these technologies, however, introduces a significant trade-off between privacy and clinical utility, a challenge further complicated by the severe class imbalance often present in medical datasets. The research presented herein addresses these interconnected issues through a systematic, multi-stage analysis. An FL frame"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.10017","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/2508.10017/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":"2026-07-05T11:53:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/5y2UjLOqW0IcYQ5FuXRGG34yh350LYcCt1OeCb+a+IFkRFzkVswz6ASPzemTkhud6vtGEnEuamcXdxyhXnrBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T17:41:01.385647Z"},"content_sha256":"e105be999586395560206ee137b81e02796f5e428ede9d1b0d1c075aaf8aadd2","schema_version":"1.0","event_id":"sha256:e105be999586395560206ee137b81e02796f5e428ede9d1b0d1c075aaf8aadd2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LQNG634ZTMEJAYSN6QB6GI6SJ7/bundle.json","state_url":"https://pith.science/pith/LQNG634ZTMEJAYSN6QB6GI6SJ7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LQNG634ZTMEJAYSN6QB6GI6SJ7/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":"2026-08-14T17:41:01Z","links":{"resolver":"https://pith.science/pith/LQNG634ZTMEJAYSN6QB6GI6SJ7","bundle":"https://pith.science/pith/LQNG634ZTMEJAYSN6QB6GI6SJ7/bundle.json","state":"https://pith.science/pith/LQNG634ZTMEJAYSN6QB6GI6SJ7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LQNG634ZTMEJAYSN6QB6GI6SJ7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LQNG634ZTMEJAYSN6QB6GI6SJ7","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":"4b2b862bf1361b236654fbcdd42ed81f4c6d4a97c9aa7140eb3c3ea5cca0b037","cross_cats_sorted":["cs.AI","cs.LG","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-08-06T20:47:50Z","title_canon_sha256":"48c2c577d44f3e93a0e8bb5ff52658d2fe4140ccc2f2af47a6178d6dfb0181c4"},"schema_version":"1.0","source":{"id":"2508.10017","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.10017","created_at":"2026-07-05T11:53:29Z"},{"alias_kind":"arxiv_version","alias_value":"2508.10017v1","created_at":"2026-07-05T11:53:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.10017","created_at":"2026-07-05T11:53:29Z"},{"alias_kind":"pith_short_12","alias_value":"LQNG634ZTMEJ","created_at":"2026-07-05T11:53:29Z"},{"alias_kind":"pith_short_16","alias_value":"LQNG634ZTMEJAYSN","created_at":"2026-07-05T11:53:29Z"},{"alias_kind":"pith_short_8","alias_value":"LQNG634Z","created_at":"2026-07-05T11:53:29Z"}],"graph_snapshots":[{"event_id":"sha256:e105be999586395560206ee137b81e02796f5e428ede9d1b0d1c075aaf8aadd2","target":"graph","created_at":"2026-07-05T11:53:29Z","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/2508.10017/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning (FL) presents a groundbreaking approach for collaborative health research, allowing model training on decentralized data while safeguarding patient privacy. FL offers formal security guarantees when combined with Differential Privacy (DP). The integration of these technologies, however, introduces a significant trade-off between privacy and clinical utility, a challenge further complicated by the severe class imbalance often present in medical datasets. The research presented herein addresses these interconnected issues through a systematic, multi-stage analysis. An FL frame","authors_text":"Rodrigo Tertulino","cross_cats":["cs.AI","cs.LG","cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-08-06T20:47:50Z","title":"A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Data using SMOTETomek and FedProx"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.10017","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":"sha256:90932525f0e6f81e6568768cdc31a9ac5fa176c7a0606d78c2f0c9c21a4692d4","target":"record","created_at":"2026-07-05T11:53:29Z","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":"4b2b862bf1361b236654fbcdd42ed81f4c6d4a97c9aa7140eb3c3ea5cca0b037","cross_cats_sorted":["cs.AI","cs.LG","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-08-06T20:47:50Z","title_canon_sha256":"48c2c577d44f3e93a0e8bb5ff52658d2fe4140ccc2f2af47a6178d6dfb0181c4"},"schema_version":"1.0","source":{"id":"2508.10017","kind":"arxiv","version":1}},"canonical_sha256":"5c1a6f6f999b0890624df403e323d24fcddcdb4cf46f49f52ec2487fa709ac1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c1a6f6f999b0890624df403e323d24fcddcdb4cf46f49f52ec2487fa709ac1d","first_computed_at":"2026-07-05T11:53:29.320687Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:53:29.320687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F3zkHj9yB7B3sBKHCzacwImvyOsXBIh0lBUOgk/NYBCYdNSNcsYwCfNV9XGQ6ic2+GkmkVqhCGr4jmxD5gACBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:53:29.321121Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.10017","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:90932525f0e6f81e6568768cdc31a9ac5fa176c7a0606d78c2f0c9c21a4692d4","sha256:e105be999586395560206ee137b81e02796f5e428ede9d1b0d1c075aaf8aadd2"],"state_sha256":"5588db3fb94692bc983308fca990017012fa8cb86ad73ca0db18489d6891b8b8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VaYqoPGtbJC61YKV7azUi7ycxIENZxnoaaqPqyltHBNOTSVzXdGaUtnpcmWF8Zh6i3+0yNT9Wa11Po4bJnFUDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T17:41:01.398536Z","bundle_sha256":"2093c00f4181f95f544bfc10df622aeda843cc14b633725afc3546a1ff34edea"}}