{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZJXW5TUFD5DV3KLHEB3KAA5IQ6","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":"5e5074f19b9fa8f8af5e304feb1875f6c936243b900d5f9bf622beeea1578bac","cross_cats_sorted":["cs.CR","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2024-12-22T15:06:56Z","title_canon_sha256":"a7e49afb4021a93631c2fc779c8dfef897233978adb9483ac6fcd29948ee4d41"},"schema_version":"1.0","source":{"id":"2412.17054","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17054","created_at":"2026-07-05T09:53:16Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17054v1","created_at":"2026-07-05T09:53:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17054","created_at":"2026-07-05T09:53:16Z"},{"alias_kind":"pith_short_12","alias_value":"ZJXW5TUFD5DV","created_at":"2026-07-05T09:53:16Z"},{"alias_kind":"pith_short_16","alias_value":"ZJXW5TUFD5DV3KLH","created_at":"2026-07-05T09:53:16Z"},{"alias_kind":"pith_short_8","alias_value":"ZJXW5TUF","created_at":"2026-07-05T09:53:16Z"}],"graph_snapshots":[{"event_id":"sha256:c39912a52a387386a1b4adbb80357899dc3a97b09317f72f840dcf55a9493587","target":"graph","created_at":"2026-07-05T09:53:16Z","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/2412.17054/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Coordinate Descent (CD) methods have gained significant attention in machine learning due to their effectiveness in solving high-dimensional problems and their ability to decompose complex optimization tasks. However, classical CD methods were neither designed nor analyzed with data privacy in mind, a critical concern when handling sensitive information. This has led to the development of differentially private CD methods, such as DP-CD (Differentially Private Coordinate Descent) proposed by Mangold et al. (ICML 2022), yet a disparity remains between non-private CD and DP-CD methods. In our wo","authors_text":"Abdurakhmon Sadiev, Artavazd Maranjyan, Peter Richt\\'arik","cross_cats":["cs.CR","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2024-12-22T15:06:56Z","title":"Differentially Private Random Block Coordinate Descent"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17054","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":"sha256:95f190023d292a238bd6538491a6779738b08f487f12481750baff9dc0e06a35","target":"record","created_at":"2026-07-05T09:53:16Z","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":"5e5074f19b9fa8f8af5e304feb1875f6c936243b900d5f9bf622beeea1578bac","cross_cats_sorted":["cs.CR","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2024-12-22T15:06:56Z","title_canon_sha256":"a7e49afb4021a93631c2fc779c8dfef897233978adb9483ac6fcd29948ee4d41"},"schema_version":"1.0","source":{"id":"2412.17054","kind":"arxiv","version":1}},"canonical_sha256":"ca6f6ece851f475da9672076a003a88796f1f04a19fb4c6c925200ff783f2d8a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca6f6ece851f475da9672076a003a88796f1f04a19fb4c6c925200ff783f2d8a","first_computed_at":"2026-07-05T09:53:16.982075Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:53:16.982075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KlGHdG2gUtwALyiuPdLJ4nq3Wa2oPWtPjzbNfRPVlHOp4MBU35WKnHvdmZwlVbUSLgc+6Me6JMeAu8PrEu+EAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:53:16.982468Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.17054","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:95f190023d292a238bd6538491a6779738b08f487f12481750baff9dc0e06a35","sha256:c39912a52a387386a1b4adbb80357899dc3a97b09317f72f840dcf55a9493587"],"state_sha256":"74bb32c1203a8b193b0c4306ba1912e0d8363becbf4740c7d93871b28859500a"}