{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:LLN6JXDIKXN2SUOQIIN6BGREME","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":"7736b4f58466b20669e03cffd007d118e5c78e622c74e4c50e60a98eb2f7d8af","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-10-22T00:12:56Z","title_canon_sha256":"2faf88c4abf9d74e0634aa78a16f174313b0c9b00a468defbf70faa751192a0c"},"schema_version":"1.0","source":{"id":"1310.5764","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1310.5764","created_at":"2026-05-18T01:13:28Z"},{"alias_kind":"arxiv_version","alias_value":"1310.5764v6","created_at":"2026-05-18T01:13:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.5764","created_at":"2026-05-18T01:13:28Z"},{"alias_kind":"pith_short_12","alias_value":"LLN6JXDIKXN2","created_at":"2026-05-18T12:27:51Z"},{"alias_kind":"pith_short_16","alias_value":"LLN6JXDIKXN2SUOQ","created_at":"2026-05-18T12:27:51Z"},{"alias_kind":"pith_short_8","alias_value":"LLN6JXDI","created_at":"2026-05-18T12:27:51Z"}],"graph_snapshots":[{"event_id":"sha256:4524ad3915e687364cb5559b10270f9918c0c59cc37c704ba65bb531ece397f7","target":"graph","created_at":"2026-05-18T01:13:28Z","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"},"paper":{"abstract_excerpt":"Crowdsourcing has become a primary means for label collection in many real-world machine learning applications. A classical method for inferring the true labels from the noisy labels provided by crowdsourcing workers is Dawid-Skene estimator. In this paper, we prove convergence rates of a projected EM algorithm for the Dawid-Skene estimator. The revealed exponent in the rate of convergence is shown to be optimal via a lower bound argument. Our work resolves the long standing issue of whether Dawid-Skene estimator has sound theoretical guarantees besides its good performance observed in practic","authors_text":"Chao Gao, Dengyong Zhou","cross_cats":["math.ST","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-10-22T00:12:56Z","title":"Minimax Optimal Convergence Rates for Estimating Ground Truth from Crowdsourced Labels"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.5764","kind":"arxiv","version":6},"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:dc792d75ac4a8b26d761342544d06445a1e881aa5189e383412ea88d4795c0ba","target":"record","created_at":"2026-05-18T01:13:28Z","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":"7736b4f58466b20669e03cffd007d118e5c78e622c74e4c50e60a98eb2f7d8af","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-10-22T00:12:56Z","title_canon_sha256":"2faf88c4abf9d74e0634aa78a16f174313b0c9b00a468defbf70faa751192a0c"},"schema_version":"1.0","source":{"id":"1310.5764","kind":"arxiv","version":6}},"canonical_sha256":"5adbe4dc6855dba951d0421be09a24610b42f795728c078f46193a20a89760e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5adbe4dc6855dba951d0421be09a24610b42f795728c078f46193a20a89760e4","first_computed_at":"2026-05-18T01:13:28.971154Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:13:28.971154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OLD400RwTOToCHSpsDm80cvYg6VzIUtnO8zgaiwu4lsNfgnoDzQ4ZTwn0RMiChqZeaBVrZ2DjsEKuQVDThD7AQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:13:28.971976Z","signed_message":"canonical_sha256_bytes"},"source_id":"1310.5764","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc792d75ac4a8b26d761342544d06445a1e881aa5189e383412ea88d4795c0ba","sha256:4524ad3915e687364cb5559b10270f9918c0c59cc37c704ba65bb531ece397f7"],"state_sha256":"629f974f9c6947a775af0a3d7288b99f6769deab365e4fcad1c3a9a5e45f6cf2"}