{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:S3HNPR5VEPIX6F6DO7QBUSSHG4","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":"1eead10b35f9dac433c06b89ef7c773d3a732761a2db0233ce80ec2e4d421251","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2022-03-12T15:46:15Z","title_canon_sha256":"431e05041bdc2e0445bf519feac003c63e2492c9aef58e43e179914707d570dc"},"schema_version":"1.0","source":{"id":"2203.06469","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.06469","created_at":"2026-07-05T05:36:02Z"},{"alias_kind":"arxiv_version","alias_value":"2203.06469v2","created_at":"2026-07-05T05:36:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.06469","created_at":"2026-07-05T05:36:02Z"},{"alias_kind":"pith_short_12","alias_value":"S3HNPR5VEPIX","created_at":"2026-07-05T05:36:02Z"},{"alias_kind":"pith_short_16","alias_value":"S3HNPR5VEPIX6F6D","created_at":"2026-07-05T05:36:02Z"},{"alias_kind":"pith_short_8","alias_value":"S3HNPR5V","created_at":"2026-07-05T05:36:02Z"}],"graph_snapshots":[{"event_id":"sha256:7ada75199ee0819540e0151c26124018f0136035ce84904b7e1ce3aa2f3bf3cd","target":"graph","created_at":"2026-07-05T05:36:02Z","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/2203.06469/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this review we cover the basics of efficient nonparametric parameter estimation (also called functional estimation), with a focus on parameters that arise in causal inference problems. We review both efficiency bounds (i.e., what is the best possible performance for estimating a given parameter?) and the analysis of particular estimators (i.e., what is this estimator's error, and does it attain the efficiency bound?) under weak assumptions. We emphasize minimax-style efficiency bounds, worked examples, and practical shortcuts for easing derivations. We gloss over most technical details, in ","authors_text":"Edward H. Kennedy","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2022-03-12T15:46:15Z","title":"Semiparametric doubly robust targeted double machine learning: a review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.06469","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":"sha256:088bfa4885a671fd70acf5a94e80682fcf64183447c195c9d80acc30e328fa4f","target":"record","created_at":"2026-07-05T05:36:02Z","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":"1eead10b35f9dac433c06b89ef7c773d3a732761a2db0233ce80ec2e4d421251","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2022-03-12T15:46:15Z","title_canon_sha256":"431e05041bdc2e0445bf519feac003c63e2492c9aef58e43e179914707d570dc"},"schema_version":"1.0","source":{"id":"2203.06469","kind":"arxiv","version":2}},"canonical_sha256":"96ced7c7b523d17f17c377e01a4a47371cfee5e5a4b34073f3f5ed1c6de66fb6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96ced7c7b523d17f17c377e01a4a47371cfee5e5a4b34073f3f5ed1c6de66fb6","first_computed_at":"2026-07-05T05:36:02.979374Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:36:02.979374Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"clU9bVFFKVIP8TzNsGwwVpdmzGlKRlCRSkxN6/QhA+SARFeM8iqTN7NDL4mWQ18HFofmxdCfHBcXw+KU8vLDAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:36:02.979925Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.06469","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:088bfa4885a671fd70acf5a94e80682fcf64183447c195c9d80acc30e328fa4f","sha256:7ada75199ee0819540e0151c26124018f0136035ce84904b7e1ce3aa2f3bf3cd"],"state_sha256":"7de56b2bddf7a9f182429c9f65bd84a3297e3fec3139a92b8f771124c85ef05a"}