{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:X6D4RRJKJ4FZETS2YW7CZX36AN","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":"604937f477e53a8b27088a5720b27e51501ebc04ea0d06b37dca72e094249d94","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-02-27T02:48:52Z","title_canon_sha256":"67a996025967929db29e5ebc49dbc968a6b8b0f9b14dfde36a24d6a08a876577"},"schema_version":"1.0","source":{"id":"1302.6651","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1302.6651","created_at":"2026-05-18T03:32:19Z"},{"alias_kind":"arxiv_version","alias_value":"1302.6651v1","created_at":"2026-05-18T03:32:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1302.6651","created_at":"2026-05-18T03:32:19Z"},{"alias_kind":"pith_short_12","alias_value":"X6D4RRJKJ4FZ","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_16","alias_value":"X6D4RRJKJ4FZETS2","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_8","alias_value":"X6D4RRJK","created_at":"2026-05-18T12:28:06Z"}],"graph_snapshots":[{"event_id":"sha256:f1c2b3710712794890ee733cdc42beb6a96efaad36d93070278e2e3eb515f54e","target":"graph","created_at":"2026-05-18T03:32:19Z","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":"This paper deals with a general class of transformation models that contains many important semiparametric regression models as special cases. It develops a self-induced smoothing for the maximum rank correlation estimator, resulting in simultaneous point and variance estimation. The self-induced smoothing does not require bandwidth selection, yet provides the right amount of smoothness so that the estimator is asymptotically normal with mean zero (unbiased) and variance-covariance matrix consistently estimated by the usual sandwich-type estimator. An iterative algorithm is given for the varia","authors_text":"Junyi Zhang, Yongzhao Shao, Zhezhen Jin, Zhiliang Ying","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-02-27T02:48:52Z","title":"Statistical Inference on Transformation Models: a Self-induced Smoothing Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.6651","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":"sha256:5ab76b7f734df4069475ff88014d02bf3dda397153453f506abc4857d9f2c83e","target":"record","created_at":"2026-05-18T03:32:19Z","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":"604937f477e53a8b27088a5720b27e51501ebc04ea0d06b37dca72e094249d94","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2013-02-27T02:48:52Z","title_canon_sha256":"67a996025967929db29e5ebc49dbc968a6b8b0f9b14dfde36a24d6a08a876577"},"schema_version":"1.0","source":{"id":"1302.6651","kind":"arxiv","version":1}},"canonical_sha256":"bf87c8c52a4f0b924e5ac5be2cdf7e034ac4ef52e3e0d7efddf10cd0ec6ba349","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bf87c8c52a4f0b924e5ac5be2cdf7e034ac4ef52e3e0d7efddf10cd0ec6ba349","first_computed_at":"2026-05-18T03:32:19.237482Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:32:19.237482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BGYQKDPsHaY02tRqIj3T5rqRvMxGrsW+tNozjHXO58HfnmCy24OI/1r2XpUpyAM9DlHEcpzF+v2CuCon5rkmAw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:32:19.238219Z","signed_message":"canonical_sha256_bytes"},"source_id":"1302.6651","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5ab76b7f734df4069475ff88014d02bf3dda397153453f506abc4857d9f2c83e","sha256:f1c2b3710712794890ee733cdc42beb6a96efaad36d93070278e2e3eb515f54e"],"state_sha256":"89d87153072985c8f4dd3e418ae1812ef6f4c32a30cc3ea5de4636bac3db2ea5"}