{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:GAGOUGB6OH22AE45DYGTMASOON","short_pith_number":"pith:GAGOUGB6","canonical_record":{"source":{"id":"1210.0380","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-10-01T12:59:32Z","cross_cats_sorted":[],"title_canon_sha256":"29fa9d7e2e3b1e6f577969fff9639637e6abe58ca675c4501408e8bffc21c9b1","abstract_canon_sha256":"9d4740b1f120d48c4d0014b29b633976d8f518fe0456329233683ce509043710"},"schema_version":"1.0"},"canonical_sha256":"300cea183e71f5a0139d1e0d36024e7358447654e409b1d72c80afcb8c09cbb4","source":{"kind":"arxiv","id":"1210.0380","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1210.0380","created_at":"2026-05-18T03:38:57Z"},{"alias_kind":"arxiv_version","alias_value":"1210.0380v2","created_at":"2026-05-18T03:38:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1210.0380","created_at":"2026-05-18T03:38:57Z"},{"alias_kind":"pith_short_12","alias_value":"GAGOUGB6OH22","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"GAGOUGB6OH22AE45","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"GAGOUGB6","created_at":"2026-05-18T12:27:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:GAGOUGB6OH22AE45DYGTMASOON","target":"record","payload":{"canonical_record":{"source":{"id":"1210.0380","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-10-01T12:59:32Z","cross_cats_sorted":[],"title_canon_sha256":"29fa9d7e2e3b1e6f577969fff9639637e6abe58ca675c4501408e8bffc21c9b1","abstract_canon_sha256":"9d4740b1f120d48c4d0014b29b633976d8f518fe0456329233683ce509043710"},"schema_version":"1.0"},"canonical_sha256":"300cea183e71f5a0139d1e0d36024e7358447654e409b1d72c80afcb8c09cbb4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:38:57.300045Z","signature_b64":"KsenA0/dAYT/dLKx1vx3qKpMPsxWQnXkYh946HhGGQBByUdQr9EZW1l+/D5ARboywaso73+fhZBu4PfgrlM3Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"300cea183e71f5a0139d1e0d36024e7358447654e409b1d72c80afcb8c09cbb4","last_reissued_at":"2026-05-18T03:38:57.299577Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:38:57.299577Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1210.0380","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:38:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6AkcEVWGYY0IO9EkA9rughwcSxfmF4nA1MFKzGCRZyQeRWL9hEbQw7Rorl8GqkdjybhKGv7J4RyqDlzVu0gxBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T08:11:13.436625Z"},"content_sha256":"78b8a88cdb4443b175311ed0db9f5119f58bb7efb8d0b5f91bfb4b0355600adb","schema_version":"1.0","event_id":"sha256:78b8a88cdb4443b175311ed0db9f5119f58bb7efb8d0b5f91bfb4b0355600adb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:GAGOUGB6OH22AE45DYGTMASOON","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Safe preselection in lasso-type problems by cross-validation freezing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Arnoldo Frigessi, Ingrid K. Glad, Isma\\\"il Ahmed, Linn Cecilie Bergersen, Sylvia Richardson","submitted_at":"2012-10-01T12:59:32Z","abstract_excerpt":"We propose a new approach to safe variable preselection in high-dimensional penalized regression, such as the lasso. Preselection - to start with a manageable set of covariates - has often been implemented without clear appreciation of its potential bias. Based on sequential implementation of the lasso with increasing lists of predictors, we find a new property of the set of corresponding cross-validation curves, a pattern that we call freezing. It allows to determine a subset of covariates with which we reach the same lasso solution as would be obtained using the full set of covariates. Freez"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1210.0380","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:38:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0qQ9PEVsD0uKv3xd4bXpy8nKYTJof5Of8f7UmpFpslamNbvoBnF++4OltzxtUw2ScXWQSRj7qwFbqbMSkqVUCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T08:11:13.436971Z"},"content_sha256":"1a9a9087cea6f7db83a10389eb7c120b1909babb77acc1eb4f5a203925c8e5f5","schema_version":"1.0","event_id":"sha256:1a9a9087cea6f7db83a10389eb7c120b1909babb77acc1eb4f5a203925c8e5f5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GAGOUGB6OH22AE45DYGTMASOON/bundle.json","state_url":"https://pith.science/pith/GAGOUGB6OH22AE45DYGTMASOON/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GAGOUGB6OH22AE45DYGTMASOON/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-20T08:11:13Z","links":{"resolver":"https://pith.science/pith/GAGOUGB6OH22AE45DYGTMASOON","bundle":"https://pith.science/pith/GAGOUGB6OH22AE45DYGTMASOON/bundle.json","state":"https://pith.science/pith/GAGOUGB6OH22AE45DYGTMASOON/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GAGOUGB6OH22AE45DYGTMASOON/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:GAGOUGB6OH22AE45DYGTMASOON","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":"9d4740b1f120d48c4d0014b29b633976d8f518fe0456329233683ce509043710","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-10-01T12:59:32Z","title_canon_sha256":"29fa9d7e2e3b1e6f577969fff9639637e6abe58ca675c4501408e8bffc21c9b1"},"schema_version":"1.0","source":{"id":"1210.0380","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1210.0380","created_at":"2026-05-18T03:38:57Z"},{"alias_kind":"arxiv_version","alias_value":"1210.0380v2","created_at":"2026-05-18T03:38:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1210.0380","created_at":"2026-05-18T03:38:57Z"},{"alias_kind":"pith_short_12","alias_value":"GAGOUGB6OH22","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"GAGOUGB6OH22AE45","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"GAGOUGB6","created_at":"2026-05-18T12:27:06Z"}],"graph_snapshots":[{"event_id":"sha256:1a9a9087cea6f7db83a10389eb7c120b1909babb77acc1eb4f5a203925c8e5f5","target":"graph","created_at":"2026-05-18T03:38:57Z","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":"We propose a new approach to safe variable preselection in high-dimensional penalized regression, such as the lasso. Preselection - to start with a manageable set of covariates - has often been implemented without clear appreciation of its potential bias. Based on sequential implementation of the lasso with increasing lists of predictors, we find a new property of the set of corresponding cross-validation curves, a pattern that we call freezing. It allows to determine a subset of covariates with which we reach the same lasso solution as would be obtained using the full set of covariates. Freez","authors_text":"Arnoldo Frigessi, Ingrid K. Glad, Isma\\\"il Ahmed, Linn Cecilie Bergersen, Sylvia Richardson","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-10-01T12:59:32Z","title":"Safe preselection in lasso-type problems by cross-validation freezing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1210.0380","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":"sha256:78b8a88cdb4443b175311ed0db9f5119f58bb7efb8d0b5f91bfb4b0355600adb","target":"record","created_at":"2026-05-18T03:38:57Z","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":"9d4740b1f120d48c4d0014b29b633976d8f518fe0456329233683ce509043710","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-10-01T12:59:32Z","title_canon_sha256":"29fa9d7e2e3b1e6f577969fff9639637e6abe58ca675c4501408e8bffc21c9b1"},"schema_version":"1.0","source":{"id":"1210.0380","kind":"arxiv","version":2}},"canonical_sha256":"300cea183e71f5a0139d1e0d36024e7358447654e409b1d72c80afcb8c09cbb4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"300cea183e71f5a0139d1e0d36024e7358447654e409b1d72c80afcb8c09cbb4","first_computed_at":"2026-05-18T03:38:57.299577Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:38:57.299577Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KsenA0/dAYT/dLKx1vx3qKpMPsxWQnXkYh946HhGGQBByUdQr9EZW1l+/D5ARboywaso73+fhZBu4PfgrlM3Aw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:38:57.300045Z","signed_message":"canonical_sha256_bytes"},"source_id":"1210.0380","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:78b8a88cdb4443b175311ed0db9f5119f58bb7efb8d0b5f91bfb4b0355600adb","sha256:1a9a9087cea6f7db83a10389eb7c120b1909babb77acc1eb4f5a203925c8e5f5"],"state_sha256":"ce89206b1ddd8ea49eef501546ab3ac39d2c965d8e61cd954c32731b5f469f72"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vFGwdZQSRoxgpQ0sON64PRbVnlYWb5kK+hnd4FbDHlV6+bjyFLm4cWzKm3I+aiLkFJUJ9IwWF2W1QwROCdcdDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-20T08:11:13.438998Z","bundle_sha256":"e69f0792f3b75dc7e59c5bf377cf00670e31889d873e7973c5b371c44368fe91"}}