{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:DJY6FYLEUUKIUXAFR7XC7DARTZ","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":"897cd8e91efc985ac676b806f0b3d96a7cc7d959460d5dee4179dbc5e1a3336d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-07-07T17:00:24Z","title_canon_sha256":"fe8a93c07cd36475e36c88b3bff7e3b79461f26ed46da6e053ee1ca49b8ce889"},"schema_version":"1.0","source":{"id":"1807.02694","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.02694","created_at":"2026-05-18T00:11:16Z"},{"alias_kind":"arxiv_version","alias_value":"1807.02694v1","created_at":"2026-05-18T00:11:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.02694","created_at":"2026-05-18T00:11:16Z"},{"alias_kind":"pith_short_12","alias_value":"DJY6FYLEUUKI","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DJY6FYLEUUKIUXAF","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DJY6FYLE","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:4dd47ee2006ac4be906514b6d220c43ac889aaa5398cf6edfd2c0f2f9b3c38b3","target":"graph","created_at":"2026-05-18T00:11:16Z","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 the following class of learning schemes: $$\\hat{\\boldsymbol{\\beta}} := \\arg\\min_{\\boldsymbol{\\beta}}\\;\\sum_{j=1}^n \\ell(\\boldsymbol{x}_j^\\top\\boldsymbol{\\beta}; y_j) + \\lambda R(\\boldsymbol{\\beta}),\\qquad\\qquad (1) $$ where $\\boldsymbol{x}_i \\in \\mathbb{R}^p$ and $y_i \\in \\mathbb{R}$ denote the $i^{\\text{th}}$ feature and response variable respectively. Let $\\ell$ and $R$ be the loss function and regularizer, $\\boldsymbol{\\beta}$ denote the unknown weights, and $\\lambda$ be a regularization parameter. Finding the optimal choice of $\\lambda$ is a challenging problem in high-dimensional","authors_text":"Arian Maleki, Haihao Lu, Shuaiwen Wang, Vahab Mirrokni, Wenda Zhou","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-07-07T17:00:24Z","title":"Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.02694","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":"sha256:4c5af1066c1e6631e09bbcc05a39626cfe5c2de956d8bb5a69d83a1825fbce04","target":"record","created_at":"2026-05-18T00:11:16Z","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":"897cd8e91efc985ac676b806f0b3d96a7cc7d959460d5dee4179dbc5e1a3336d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-07-07T17:00:24Z","title_canon_sha256":"fe8a93c07cd36475e36c88b3bff7e3b79461f26ed46da6e053ee1ca49b8ce889"},"schema_version":"1.0","source":{"id":"1807.02694","kind":"arxiv","version":1}},"canonical_sha256":"1a71e2e164a5148a5c058fee2f8c119e567a156388086f15e099a5d2febade7c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1a71e2e164a5148a5c058fee2f8c119e567a156388086f15e099a5d2febade7c","first_computed_at":"2026-05-18T00:11:16.283899Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:16.283899Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MSsr3Vfg6HTsILgXh/T6X42My7A8r5yzo+9egH6qBQIJQ3ehzR+0qrOC9nPNRHsp65OJH1KWUtdj8wMjyV9UBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:16.284641Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.02694","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c5af1066c1e6631e09bbcc05a39626cfe5c2de956d8bb5a69d83a1825fbce04","sha256:4dd47ee2006ac4be906514b6d220c43ac889aaa5398cf6edfd2c0f2f9b3c38b3"],"state_sha256":"11a20709f727e57f401b25079d18ff2b3be2c843cb66a5ebeabc8ee5eefca31f"}