{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:GJBCQICQIQGICWXNBDMPVLU3DW","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":"faf516a42f8760fc808a8f9fa38cc526fc855cda60f1d6b84fe06bdeedce05ec","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-08T02:45:17Z","title_canon_sha256":"1f96f5f804d5660b43532ab3558787dcaf4447729a4e5ff14332fd8da73363a9"},"schema_version":"1.0","source":{"id":"1403.1922","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.1922","created_at":"2026-05-18T01:18:57Z"},{"alias_kind":"arxiv_version","alias_value":"1403.1922v2","created_at":"2026-05-18T01:18:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.1922","created_at":"2026-05-18T01:18:57Z"},{"alias_kind":"pith_short_12","alias_value":"GJBCQICQIQGI","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_16","alias_value":"GJBCQICQIQGICWXN","created_at":"2026-05-18T12:28:30Z"},{"alias_kind":"pith_short_8","alias_value":"GJBCQICQ","created_at":"2026-05-18T12:28:30Z"}],"graph_snapshots":[{"event_id":"sha256:c3b5a918b7911314861677a9e886426e6cdbc4c34cd5728dedce06458251532b","target":"graph","created_at":"2026-05-18T01:18:57Z","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":"This paper studies the problem of estimating a large coefficient matrix in a multiple response linear regression model when the coefficient matrix could be both of low rank and sparse in the sense that most nonzero entries concentrate on a few rows and columns. We are especially interested in the high dimensional settings where the number of predictors and/or response variables can be much larger than the number of observations. We propose a new estimation scheme, which achieves competitive numerical performance and at the same time allows fast computation. Moreover, we show that (a slight var","authors_text":"Tingni Sun, Zhuang Ma, Zongming Ma","cross_cats":["math.ST","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-08T02:45:17Z","title":"Adaptive Estimation in Two-way Sparse Reduced-rank Regression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.1922","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":"sha256:228a72a66d05c0a64214530428fbae2c8d866ab35cebd4e03d3b243cb0a4f51b","target":"record","created_at":"2026-05-18T01:18:57Z","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":"faf516a42f8760fc808a8f9fa38cc526fc855cda60f1d6b84fe06bdeedce05ec","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-03-08T02:45:17Z","title_canon_sha256":"1f96f5f804d5660b43532ab3558787dcaf4447729a4e5ff14332fd8da73363a9"},"schema_version":"1.0","source":{"id":"1403.1922","kind":"arxiv","version":2}},"canonical_sha256":"3242282050440c815aed08d8faae9b1da47ab45f1a8c9d155312bb73b51bbc99","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3242282050440c815aed08d8faae9b1da47ab45f1a8c9d155312bb73b51bbc99","first_computed_at":"2026-05-18T01:18:57.659022Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:18:57.659022Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h7xNPULYcFPoCHhLr7cbiLVnYiGG7oZV+FwPNHdj4Ixd5m9axrDFb/SR9GhajfGO2HWPjUG/eLT1vdQa8B9SBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:18:57.659532Z","signed_message":"canonical_sha256_bytes"},"source_id":"1403.1922","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:228a72a66d05c0a64214530428fbae2c8d866ab35cebd4e03d3b243cb0a4f51b","sha256:c3b5a918b7911314861677a9e886426e6cdbc4c34cd5728dedce06458251532b"],"state_sha256":"607290c4b1584863214bbdc2177c8696717ad0bd012c3b188203629bf583cd33"}