{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WMCV4W7PF6MSSSO4F2RXYZR76W","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":"098a81bf7012788a2f84e699bfec22131e9712c11321edac6193f9b93eb290c6","cross_cats_sorted":["cs.DC","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2023-11-15T13:29:49Z","title_canon_sha256":"249f8d4103b06260ace4a4784af39246f2d715363abce4cf987233d373a42432"},"schema_version":"1.0","source":{"id":"2311.08945","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.08945","created_at":"2026-07-05T08:10:58Z"},{"alias_kind":"arxiv_version","alias_value":"2311.08945v3","created_at":"2026-07-05T08:10:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.08945","created_at":"2026-07-05T08:10:58Z"},{"alias_kind":"pith_short_12","alias_value":"WMCV4W7PF6MS","created_at":"2026-07-05T08:10:58Z"},{"alias_kind":"pith_short_16","alias_value":"WMCV4W7PF6MSSSO4","created_at":"2026-07-05T08:10:58Z"},{"alias_kind":"pith_short_8","alias_value":"WMCV4W7P","created_at":"2026-07-05T08:10:58Z"}],"graph_snapshots":[{"event_id":"sha256:d56945a74ed8f41b4d01ffc7cac1a476169a1a36e21013c7e33237f93166104b","target":"graph","created_at":"2026-07-05T08:10:58Z","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/2311.08945/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bilevel optimization has gained significant attention in recent years due to its broad applications in machine learning. This paper focuses on bilevel optimization in decentralized networks and proposes a novel single-loop algorithm for solving decentralized bilevel optimization with a strongly convex lower-level problem. Our approach is a fully single-loop method that approximates the hypergradient using only two matrix-vector multiplications per iteration. Importantly, our algorithm does not require any gradient heterogeneity assumption, distinguishing it from existing methods for decentrali","authors_text":"Chao Yin, Junfeng Yang, Shiqian Ma, Youran Dong","cross_cats":["cs.DC","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2023-11-15T13:29:49Z","title":"A Single-Loop Algorithm for Decentralized Bilevel Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.08945","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:d2feb14b8a5e6aac7ae05a62eeddc3075c8603b57e344417dc71550fe489fc40","target":"record","created_at":"2026-07-05T08:10:58Z","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":"098a81bf7012788a2f84e699bfec22131e9712c11321edac6193f9b93eb290c6","cross_cats_sorted":["cs.DC","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2023-11-15T13:29:49Z","title_canon_sha256":"249f8d4103b06260ace4a4784af39246f2d715363abce4cf987233d373a42432"},"schema_version":"1.0","source":{"id":"2311.08945","kind":"arxiv","version":3}},"canonical_sha256":"b3055e5bef2f992949dc2ea37c663ff5a7ee7441faa174389bdffcc584354239","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3055e5bef2f992949dc2ea37c663ff5a7ee7441faa174389bdffcc584354239","first_computed_at":"2026-07-05T08:10:58.647749Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:10:58.647749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"loEoD9mCCqL2KE7OKIsaZxXZUJ4qO2pXQQe/dudtzPzYNaKGup9zIzo5NWq97al8BY30GoMCa8bzWsADGC8SBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:10:58.648177Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.08945","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d2feb14b8a5e6aac7ae05a62eeddc3075c8603b57e344417dc71550fe489fc40","sha256:d56945a74ed8f41b4d01ffc7cac1a476169a1a36e21013c7e33237f93166104b"],"state_sha256":"9d5f0142d277024417d6c236d1aa7851ee23b81cda5d5534e04e27d28aeb30b0"}