{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:NMUIHKUA76XRVKAMXRAPZUSGFB","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":"9298cfac5761a2aa732d135a24fae6c20ebdce710100e616c2ea011ddbb17574","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ME","submitted_at":"2016-06-23T10:53:05Z","title_canon_sha256":"3bbd47f28f9554b892627909c88c99bdef2640842574963cfc72e927bc2b87a1"},"schema_version":"1.0","source":{"id":"1606.07268","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.07268","created_at":"2026-05-18T00:08:16Z"},{"alias_kind":"arxiv_version","alias_value":"1606.07268v2","created_at":"2026-05-18T00:08:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.07268","created_at":"2026-05-18T00:08:16Z"},{"alias_kind":"pith_short_12","alias_value":"NMUIHKUA76XR","created_at":"2026-05-18T12:30:32Z"},{"alias_kind":"pith_short_16","alias_value":"NMUIHKUA76XRVKAM","created_at":"2026-05-18T12:30:32Z"},{"alias_kind":"pith_short_8","alias_value":"NMUIHKUA","created_at":"2026-05-18T12:30:32Z"}],"graph_snapshots":[{"event_id":"sha256:4c7d2da9477d2129680e3a2a711de4cc0d8ea7a38f0d56539aa92cc28d39a79b","target":"graph","created_at":"2026-05-18T00:08:16Z","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"},"paper":{"abstract_excerpt":"We propose a general semi-supervised inference framework focused on the estimation of the population mean. As usual in semi-supervised settings, there exists an unlabeled sample of covariate vectors and a labeled sample consisting of covariate vectors along with real-valued responses (\"labels\"). Otherwise, the formulation is \"assumption-lean\" in that no major conditions are imposed on the statistical or functional form of the data. We consider both the ideal semi-supervised setting where infinitely many unlabeled samples are available, as well as the ordinary semi-supervised setting in which o","authors_text":"Anru Zhang, Lawrence D. Brown, T. Tony Cai","cross_cats":["math.ST","stat.ML","stat.TH"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ME","submitted_at":"2016-06-23T10:53:05Z","title":"Semi-supervised Inference: General Theory and Estimation of Means"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.07268","kind":"arxiv","version":2},"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:adf9d20816a007e1122956b1716696a64568f2d08476f5481b19c96ff0e7debb","target":"record","created_at":"2026-05-18T00:08:16Z","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":"9298cfac5761a2aa732d135a24fae6c20ebdce710100e616c2ea011ddbb17574","cross_cats_sorted":["math.ST","stat.ML","stat.TH"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"stat.ME","submitted_at":"2016-06-23T10:53:05Z","title_canon_sha256":"3bbd47f28f9554b892627909c88c99bdef2640842574963cfc72e927bc2b87a1"},"schema_version":"1.0","source":{"id":"1606.07268","kind":"arxiv","version":2}},"canonical_sha256":"6b2883aa80ffaf1aa80cbc40fcd246284cbde8b582c1e9a4949e8c51e3cca298","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b2883aa80ffaf1aa80cbc40fcd246284cbde8b582c1e9a4949e8c51e3cca298","first_computed_at":"2026-05-18T00:08:16.346085Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:08:16.346085Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1ZJiIlQiNmw14FC17ZgGp3nG7fXZIdboqJs5N1noiUdwfdKcX0uEUyH8STiPcZJEVO2VINpsd6CzonxBuLDgDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:08:16.346732Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.07268","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:adf9d20816a007e1122956b1716696a64568f2d08476f5481b19c96ff0e7debb","sha256:4c7d2da9477d2129680e3a2a711de4cc0d8ea7a38f0d56539aa92cc28d39a79b"],"state_sha256":"074d6924bfad45646456c503c06afae2d63cbd24b41e9c914569c8cf195e239a"}