{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:ROE4337MVVD5EQCZXFPFS4J6WG","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":"c134478d0dcabd6cf6a1d5617a7cb9f5d564a83bea1e9a089d3ea2c08537ad87","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-23T20:56:00Z","title_canon_sha256":"da8fed4e64220ce4a108843a07bd8ee41c7a5224ab136be8bbfad50ae2b47827"},"schema_version":"1.0","source":{"id":"1509.07158","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1509.07158","created_at":"2026-05-18T00:39:53Z"},{"alias_kind":"arxiv_version","alias_value":"1509.07158v3","created_at":"2026-05-18T00:39:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.07158","created_at":"2026-05-18T00:39:53Z"},{"alias_kind":"pith_short_12","alias_value":"ROE4337MVVD5","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_16","alias_value":"ROE4337MVVD5EQCZ","created_at":"2026-05-18T12:29:39Z"},{"alias_kind":"pith_short_8","alias_value":"ROE4337M","created_at":"2026-05-18T12:29:39Z"}],"graph_snapshots":[{"event_id":"sha256:a27347b6d4d72ecab1cb78a3366e7294b7dbc80d0744a648bab4d0266c9b0420","target":"graph","created_at":"2026-05-18T00:39:53Z","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":"In many applications, linear models fit the data poorly. This article studies an appealing alternative, the generalized regression model. This model only assumes that there exists an unknown monotonically increasing link function connecting the response $Y$ to a single index $X^T\\beta^*$ of explanatory variables $X\\in\\mathbb{R}^d$. The generalized regression model is flexible and covers many widely used statistical models. It fits the data generating mechanisms well in many real problems, which makes it useful in a variety of applications where regression models are regularly employed. In low ","authors_text":"Fang Han, Hongkai Ji, Honglang Wang, Zhicheng Ji","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-23T20:56:00Z","title":"A Provable Smoothing Approach for High Dimensional Generalized Regression with Applications in Genomics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.07158","kind":"arxiv","version":3},"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":"sha256:772d51e743de9940a2bab165038d716ac3d60a85450c705e5d5c014930ef7929","target":"record","created_at":"2026-05-18T00:39:53Z","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":"c134478d0dcabd6cf6a1d5617a7cb9f5d564a83bea1e9a089d3ea2c08537ad87","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-09-23T20:56:00Z","title_canon_sha256":"da8fed4e64220ce4a108843a07bd8ee41c7a5224ab136be8bbfad50ae2b47827"},"schema_version":"1.0","source":{"id":"1509.07158","kind":"arxiv","version":3}},"canonical_sha256":"8b89cdefecad47d24059b95e59713eb1bb413a99ce479b448981538667fc3036","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8b89cdefecad47d24059b95e59713eb1bb413a99ce479b448981538667fc3036","first_computed_at":"2026-05-18T00:39:53.058329Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:39:53.058329Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"of3F/lXfqqeHHjZFXhHYUZvXq5cJl/VnRNMakhzw2uj7JiccCSPRNw5DH5k8Vt3IUx5E5ujSSlOi+t6HS9K/Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:39:53.058980Z","signed_message":"canonical_sha256_bytes"},"source_id":"1509.07158","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:772d51e743de9940a2bab165038d716ac3d60a85450c705e5d5c014930ef7929","sha256:a27347b6d4d72ecab1cb78a3366e7294b7dbc80d0744a648bab4d0266c9b0420"],"state_sha256":"ee359532576caec7965eed19438a484ccc1eef983f049c4f21f0b896a2554797"}