{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2010:JXWP3S7FBY67PRMXGZXQX54SWY","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":"fa36db1f544aabc783d9fa9739820bf31a76a6363b82d1ceaa6631c708c86003","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2010-10-25T01:28:18Z","title_canon_sha256":"615385cb527b26e07b07155b7b671451db6bbdb9ccc601cbaac3a1b25469a145"},"schema_version":"1.0","source":{"id":"1010.5028","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1010.5028","created_at":"2026-05-18T03:54:49Z"},{"alias_kind":"arxiv_version","alias_value":"1010.5028v2","created_at":"2026-05-18T03:54:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1010.5028","created_at":"2026-05-18T03:54:49Z"},{"alias_kind":"pith_short_12","alias_value":"JXWP3S7FBY67","created_at":"2026-05-18T12:26:09Z"},{"alias_kind":"pith_short_16","alias_value":"JXWP3S7FBY67PRMX","created_at":"2026-05-18T12:26:09Z"},{"alias_kind":"pith_short_8","alias_value":"JXWP3S7F","created_at":"2026-05-18T12:26:09Z"}],"graph_snapshots":[{"event_id":"sha256:4504cab87b26bf7fdf3694b53b04570308e42e93760c25152d18eb8f7a9fcb2c","target":"graph","created_at":"2026-05-18T03:54:49Z","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":"Consider a linear model $Y=X\\beta+z$, $z\\sim N(0,I_n)$. Here, $X=X_{n,p}$, where both $p$ and $n$ are large, but $p>n$. We model the rows of $X$ as i.i.d. samples from $N(0,\\frac{1}{n}\\Omega)$, where $\\Omega$ is a $p\\times p$ correlation matrix, which is unknown to us but is presumably sparse. The vector $\\beta$ is also unknown but has relatively few nonzero coordinates, and we are interested in identifying these nonzeros. We propose the Univariate Penalization Screeing (UPS) for variable selection. This is a screen and clean method where we screen with univariate thresholding and clean with p","authors_text":"Jiashun Jin, Pengsheng Ji","cross_cats":["stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2010-10-25T01:28:18Z","title":"UPS delivers optimal phase diagram in high-dimensional variable selection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1010.5028","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":"sha256:0215fcd982ad2146f0933d8b5260e0ff4791b2519a6c6b0156cd49172eb1cdd5","target":"record","created_at":"2026-05-18T03:54:49Z","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":"fa36db1f544aabc783d9fa9739820bf31a76a6363b82d1ceaa6631c708c86003","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2010-10-25T01:28:18Z","title_canon_sha256":"615385cb527b26e07b07155b7b671451db6bbdb9ccc601cbaac3a1b25469a145"},"schema_version":"1.0","source":{"id":"1010.5028","kind":"arxiv","version":2}},"canonical_sha256":"4decfdcbe50e3df7c597366f0bf792b6195161c3ba2e4821f3b2b031228e2f89","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4decfdcbe50e3df7c597366f0bf792b6195161c3ba2e4821f3b2b031228e2f89","first_computed_at":"2026-05-18T03:54:49.544368Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:54:49.544368Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"W6PP6sCnwrX0YyzZLG1IYXg59ts0U27ZJXLyp8qO/ZXUAOjy7W2nOvla5gnwJ3LVp+IQcoF0Cer7NsIysnC6CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:54:49.545161Z","signed_message":"canonical_sha256_bytes"},"source_id":"1010.5028","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0215fcd982ad2146f0933d8b5260e0ff4791b2519a6c6b0156cd49172eb1cdd5","sha256:4504cab87b26bf7fdf3694b53b04570308e42e93760c25152d18eb8f7a9fcb2c"],"state_sha256":"5991fb79b3610f868c854602f04a903b5a3a6765108199fc0e15baee840a2eab"}