{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BKLDXXS5OCIGC4BINYQF4TI4G3","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":"298e9892a3945f238df368d0a179af84291abf45dbae970dc6776b59e6fa9817","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-06-03T03:39:07Z","title_canon_sha256":"3c96ddd40a5946c952a2d1b72f4a97256d729a55f375840ab256b3bba5a9ddc8"},"schema_version":"1.0","source":{"id":"2406.00966","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.00966","created_at":"2026-07-05T09:29:29Z"},{"alias_kind":"arxiv_version","alias_value":"2406.00966v3","created_at":"2026-07-05T09:29:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.00966","created_at":"2026-07-05T09:29:29Z"},{"alias_kind":"pith_short_12","alias_value":"BKLDXXS5OCIG","created_at":"2026-07-05T09:29:29Z"},{"alias_kind":"pith_short_16","alias_value":"BKLDXXS5OCIGC4BI","created_at":"2026-07-05T09:29:29Z"},{"alias_kind":"pith_short_8","alias_value":"BKLDXXS5","created_at":"2026-07-05T09:29:29Z"}],"graph_snapshots":[{"event_id":"sha256:390fea3f6377eb2c452dd27f2ef967459c949f738b1eaa2156cf70e3fb9ea6c0","target":"graph","created_at":"2026-07-05T09:29:29Z","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/2406.00966/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Unlearning (FU) is gaining prominence for its capability to eliminate influences of Federated Learning (FL) users' data from trained global FL models. A straightforward FU method involves removing the unlearned users and subsequently retraining a new global FL model from scratch with all remaining users, a process that leads to considerable overhead. To enhance unlearning efficiency, a widely adopted strategy employs clustering, dividing FL users into clusters, with each cluster maintaining its own FL model. The final inference is then determined by aggregating the majority vote from","authors_text":"Jiale Guo, Jun Zhao, Kwok-Yan Lam, Weifeng Jiang, Yu Jiang, Ziyao Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-06-03T03:39:07Z","title":"Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.00966","kind":"arxiv","version":3},"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:eb1f1a4912c385be1ffdc4105169ee319284570c09bade505890a7006c4ed6a6","target":"record","created_at":"2026-07-05T09:29:29Z","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":"298e9892a3945f238df368d0a179af84291abf45dbae970dc6776b59e6fa9817","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-06-03T03:39:07Z","title_canon_sha256":"3c96ddd40a5946c952a2d1b72f4a97256d729a55f375840ab256b3bba5a9ddc8"},"schema_version":"1.0","source":{"id":"2406.00966","kind":"arxiv","version":3}},"canonical_sha256":"0a963bde5d70906170286e205e4d1c36e17f5082b03e2364e829a939a107b3b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a963bde5d70906170286e205e4d1c36e17f5082b03e2364e829a939a107b3b1","first_computed_at":"2026-07-05T09:29:29.728543Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:29:29.728543Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SgPttktxReWwRPUpjNGHTSRdfaetD5GiJqIlYdPBEr2AoHUm8/cqaOV5kKorGPuiWeGW2abas9OHS2HGQr2ECg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:29:29.729091Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.00966","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb1f1a4912c385be1ffdc4105169ee319284570c09bade505890a7006c4ed6a6","sha256:390fea3f6377eb2c452dd27f2ef967459c949f738b1eaa2156cf70e3fb9ea6c0"],"state_sha256":"9ee7eb0dbfe125a20e75269a1be37ba1b3d4a97f9157e1d93eb57c8280246185"}