{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2KG3L35SAGU4MK6CBWAOPOEQDI","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":"4fef61e89bee20a99c2ad5b03d38d6535975e7b813e0853f04fa7953df6a55f3","cross_cats_sorted":["stat.ML","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.ST","submitted_at":"2026-02-13T04:22:46Z","title_canon_sha256":"b05833a8c2abcedccaf9e5c064c75c49c32f0b96a784ed7247f2f60cf3d93a54"},"schema_version":"1.0","source":{"id":"2602.12604","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.12604","created_at":"2026-05-26T01:03:25Z"},{"alias_kind":"arxiv_version","alias_value":"2602.12604v2","created_at":"2026-05-26T01:03:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.12604","created_at":"2026-05-26T01:03:25Z"},{"alias_kind":"pith_short_12","alias_value":"2KG3L35SAGU4","created_at":"2026-05-26T01:03:25Z"},{"alias_kind":"pith_short_16","alias_value":"2KG3L35SAGU4MK6C","created_at":"2026-05-26T01:03:25Z"},{"alias_kind":"pith_short_8","alias_value":"2KG3L35S","created_at":"2026-05-26T01:03:25Z"}],"graph_snapshots":[{"event_id":"sha256:3627c26b904e2db5a57d6fd6b5dd19da9f8f354d67e724e41d43ad76c897703d","target":"graph","created_at":"2026-05-26T01:03:25Z","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/2602.12604/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Differential privacy provides a formal framework for releasing statistical estimators that limit how much any single observation can influence the output, by injecting calibrated random noise. We study differentially private estimation in two-stage procedures common in causal inference and individualized treatment rule (ITR) learning, in which data-dependent weights are first estimated to enforce covariate balance and a parameter of interest is then obtained by weighted empirical risk minimization. We propose Differentially Private Two-Stage Empirical Risk Minimization (DP-2ERM), which privati","authors_text":"Guanhua Chen, Joowon Lee","cross_cats":["stat.ML","stat.TH"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.ST","submitted_at":"2026-02-13T04:22:46Z","title":"Differentially Private Two-Stage Empirical Risk Minimization with Applications to Individualized Treatment Rule"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.12604","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":"sha256:0544bf4464ace74f538e9963013dc99d734964773821e612a66a9988516fc8ee","target":"record","created_at":"2026-05-26T01:03:25Z","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":"4fef61e89bee20a99c2ad5b03d38d6535975e7b813e0853f04fa7953df6a55f3","cross_cats_sorted":["stat.ML","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.ST","submitted_at":"2026-02-13T04:22:46Z","title_canon_sha256":"b05833a8c2abcedccaf9e5c064c75c49c32f0b96a784ed7247f2f60cf3d93a54"},"schema_version":"1.0","source":{"id":"2602.12604","kind":"arxiv","version":2}},"canonical_sha256":"d28db5efb201a9c62bc20d80e7b8901a108fa9ff47f7a2caaace5de0d75a43d7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d28db5efb201a9c62bc20d80e7b8901a108fa9ff47f7a2caaace5de0d75a43d7","first_computed_at":"2026-05-26T01:03:25.397595Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:25.397595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yOsvME1ojQiADgXWTJj3DgX7x7hk4uDWLMHI9H59ur6pbXTsUTJff9gq3saboJqAiNPQwFhaQRdO+enYNgN9AA==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:25.398550Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.12604","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0544bf4464ace74f538e9963013dc99d734964773821e612a66a9988516fc8ee","sha256:3627c26b904e2db5a57d6fd6b5dd19da9f8f354d67e724e41d43ad76c897703d"],"state_sha256":"6a761e48376c9c7f16a86f7f7e298fa419fbd9d1e3b8d78579a3df831b0b73ef"}