{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BGKEML42OQKCAQLP23D4SOFANC","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":"014792c8cbfe582af75ddd18e4f5f8e57c1c047aaff085d137d66050d8599989","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-06-19T04:05:07Z","title_canon_sha256":"6784c10432ceb82d61c3d7b1ebcef409d27b83e01f5bb13287189ae064d858f0"},"schema_version":"1.0","source":{"id":"2406.13197","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.13197","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"arxiv_version","alias_value":"2406.13197v1","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.13197","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"pith_short_12","alias_value":"BGKEML42OQKC","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"pith_short_16","alias_value":"BGKEML42OQKCAQLP","created_at":"2026-07-05T08:34:26Z"},{"alias_kind":"pith_short_8","alias_value":"BGKEML42","created_at":"2026-07-05T08:34:26Z"}],"graph_snapshots":[{"event_id":"sha256:f2a7bc9597803363a42912f9131b07f127b6c806f5329350c4418c9ffb514af0","target":"graph","created_at":"2026-07-05T08:34:26Z","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/2406.13197/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a transfer learning method that utilizes data representations in a semiparametric regression model. Our aim is to perform statistical inference on the parameter of primary interest in the target model while accounting for potential nonlinear effects of confounding variables. We leverage knowledge from source domains, assuming that the sample size of the source data is substantially larger than that of the target data. This knowledge transfer is carried out by the sharing of data representations, predicated on the idea that there exists a set of latent representations transferable fr","authors_text":"Baihua He, Huihang Liu, Jian Huang, Xinyu Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-06-19T04:05:07Z","title":"Representation Transfer Learning for Semiparametric Regression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.13197","kind":"arxiv","version":1},"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:eabb5bee2b208758615718b8567558213ea7e748a94d64e3e6f08d40c688847b","target":"record","created_at":"2026-07-05T08:34:26Z","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":"014792c8cbfe582af75ddd18e4f5f8e57c1c047aaff085d137d66050d8599989","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2024-06-19T04:05:07Z","title_canon_sha256":"6784c10432ceb82d61c3d7b1ebcef409d27b83e01f5bb13287189ae064d858f0"},"schema_version":"1.0","source":{"id":"2406.13197","kind":"arxiv","version":1}},"canonical_sha256":"0994462f9a741420416fd6c7c938a0689659c007e2f15354ec1512350eb74682","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0994462f9a741420416fd6c7c938a0689659c007e2f15354ec1512350eb74682","first_computed_at":"2026-07-05T08:34:26.620279Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:34:26.620279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mGPOuIxfuCnkwWV0B9xjFu2HKDakuRKo2yBhJuBjeWfdS9+wHXvKl732uZzg8kF6iec6cytMElmwB6TKZY7qDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:34:26.620789Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.13197","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eabb5bee2b208758615718b8567558213ea7e748a94d64e3e6f08d40c688847b","sha256:f2a7bc9597803363a42912f9131b07f127b6c806f5329350c4418c9ffb514af0"],"state_sha256":"5586255e2875d42b97bb7b55a5c2acfa1a393944c8d627dded505367c6644e3e"}