{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:TSXPLIL2FOKYZ6CTSLQ7VSFTLC","short_pith_number":"pith:TSXPLIL2","schema_version":"1.0","canonical_sha256":"9caef5a17a2b958cf85392e1fac8b3588387de2ac05188af223d498d4b5049e1","source":{"kind":"arxiv","id":"1410.3517","version":2},"attestation_state":"computed","paper":{"title":"Convex Modeling of Interactions with Strong Heredity","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Asad Haris, Daniela Witten, Noah Simon","submitted_at":"2014-10-13T21:24:37Z","abstract_excerpt":"We consider the task of fitting a regression model involving interactions among a potentially large set of covariates, in which we wish to enforce strong heredity. We propose FAMILY, a very general framework for this task. Our proposal is a generalization of several existing methods, such as VANISH [Radchenko and James, 2010], hierNet [Bien et al., 2013], the all-pairs lasso, and the lasso using only main effects. It can be formulated as the solution to a convex optimization problem, which we solve using an efficient alternating directions method of multipliers (ADMM) algorithm. This algorithm"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1410.3517","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-10-13T21:24:37Z","cross_cats_sorted":[],"title_canon_sha256":"5a0fd598e99037966a920c286c1c2fd5dba40f63dfd6970ca1a18214869e7e05","abstract_canon_sha256":"54cfbb2a6b56395477ff919b5a8c6450c8b21ad7001bc1cb8bc330af3efc2009"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:35.052250Z","signature_b64":"R9fAjpUbhTvagklqw//3uhJKmVmM50YDytnUpNpq+Nc4rOtHI6BrM8MV0/UJXPz3D8aS7WP16gasPKq3HPuHDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9caef5a17a2b958cf85392e1fac8b3588387de2ac05188af223d498d4b5049e1","last_reissued_at":"2026-05-17T23:51:35.051576Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:35.051576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Convex Modeling of Interactions with Strong Heredity","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Asad Haris, Daniela Witten, Noah Simon","submitted_at":"2014-10-13T21:24:37Z","abstract_excerpt":"We consider the task of fitting a regression model involving interactions among a potentially large set of covariates, in which we wish to enforce strong heredity. We propose FAMILY, a very general framework for this task. Our proposal is a generalization of several existing methods, such as VANISH [Radchenko and James, 2010], hierNet [Bien et al., 2013], the all-pairs lasso, and the lasso using only main effects. It can be formulated as the solution to a convex optimization problem, which we solve using an efficient alternating directions method of multipliers (ADMM) algorithm. This algorithm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1410.3517","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1410.3517","created_at":"2026-05-17T23:51:35.051672+00:00"},{"alias_kind":"arxiv_version","alias_value":"1410.3517v2","created_at":"2026-05-17T23:51:35.051672+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1410.3517","created_at":"2026-05-17T23:51:35.051672+00:00"},{"alias_kind":"pith_short_12","alias_value":"TSXPLIL2FOKY","created_at":"2026-05-18T12:28:52.271510+00:00"},{"alias_kind":"pith_short_16","alias_value":"TSXPLIL2FOKYZ6CT","created_at":"2026-05-18T12:28:52.271510+00:00"},{"alias_kind":"pith_short_8","alias_value":"TSXPLIL2","created_at":"2026-05-18T12:28:52.271510+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TSXPLIL2FOKYZ6CTSLQ7VSFTLC","json":"https://pith.science/pith/TSXPLIL2FOKYZ6CTSLQ7VSFTLC.json","graph_json":"https://pith.science/api/pith-number/TSXPLIL2FOKYZ6CTSLQ7VSFTLC/graph.json","events_json":"https://pith.science/api/pith-number/TSXPLIL2FOKYZ6CTSLQ7VSFTLC/events.json","paper":"https://pith.science/paper/TSXPLIL2"},"agent_actions":{"view_html":"https://pith.science/pith/TSXPLIL2FOKYZ6CTSLQ7VSFTLC","download_json":"https://pith.science/pith/TSXPLIL2FOKYZ6CTSLQ7VSFTLC.json","view_paper":"https://pith.science/paper/TSXPLIL2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1410.3517&json=true","fetch_graph":"https://pith.science/api/pith-number/TSXPLIL2FOKYZ6CTSLQ7VSFTLC/graph.json","fetch_events":"https://pith.science/api/pith-number/TSXPLIL2FOKYZ6CTSLQ7VSFTLC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TSXPLIL2FOKYZ6CTSLQ7VSFTLC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TSXPLIL2FOKYZ6CTSLQ7VSFTLC/action/storage_attestation","attest_author":"https://pith.science/pith/TSXPLIL2FOKYZ6CTSLQ7VSFTLC/action/author_attestation","sign_citation":"https://pith.science/pith/TSXPLIL2FOKYZ6CTSLQ7VSFTLC/action/citation_signature","submit_replication":"https://pith.science/pith/TSXPLIL2FOKYZ6CTSLQ7VSFTLC/action/replication_record"}},"created_at":"2026-05-17T23:51:35.051672+00:00","updated_at":"2026-05-17T23:51:35.051672+00:00"}