{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:GZ3R6AB6AXMQFPWW3MVV3CIYS4","short_pith_number":"pith:GZ3R6AB6","schema_version":"1.0","canonical_sha256":"36771f003e05d902bed6db2b5d89189701153fe5cb4fd7f1fcd32ca0adf26e54","source":{"kind":"arxiv","id":"1112.3446","version":2},"attestation_state":"computed","paper":{"title":"Improving Noise Robustness in Subspace-based Joint Sparse Recovery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Jong Chul Ye, Jong Min Kim, Ok Kyun Lee","submitted_at":"2011-12-15T08:27:46Z","abstract_excerpt":"In a multiple measurement vector problem (MMV), where multiple signals share a common sparse support and are sampled by a common sensing matrix, we can expect joint sparsity to enable a further reduction in the number of required measurements. While a diversity gain from joint sparsity had been demonstrated earlier in the case of a convex relaxation method using an $l_1/l_2$ mixed norm penalty, only recently was it shown that similar diversity gain can be achieved by greedy algorithms if we combine greedy steps with a MUSIC-like subspace criterion. However, the main limitation of these hybrid "},"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":"1112.3446","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2011-12-15T08:27:46Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"c5da375da8c0f9d7dab4887ecec31e64e816e701b3d3fe2d671e0d7e65304fee","abstract_canon_sha256":"695c142d22a4f1691c6abc9da1c2df108d7e74f60b41cb28b9555610b4bcae58"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:59:09.470926Z","signature_b64":"kbaIqEjgi8yeK8dndGfC4GInZoAGedgNSHUoSVZNvVC+sz5wX5Eecn9muuGV3XvXlW13gLJBsD7c9fKJMdXzDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"36771f003e05d902bed6db2b5d89189701153fe5cb4fd7f1fcd32ca0adf26e54","last_reissued_at":"2026-05-18T01:59:09.470268Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:59:09.470268Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Improving Noise Robustness in Subspace-based Joint Sparse Recovery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Jong Chul Ye, Jong Min Kim, Ok Kyun Lee","submitted_at":"2011-12-15T08:27:46Z","abstract_excerpt":"In a multiple measurement vector problem (MMV), where multiple signals share a common sparse support and are sampled by a common sensing matrix, we can expect joint sparsity to enable a further reduction in the number of required measurements. While a diversity gain from joint sparsity had been demonstrated earlier in the case of a convex relaxation method using an $l_1/l_2$ mixed norm penalty, only recently was it shown that similar diversity gain can be achieved by greedy algorithms if we combine greedy steps with a MUSIC-like subspace criterion. However, the main limitation of these hybrid "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1112.3446","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":"1112.3446","created_at":"2026-05-18T01:59:09.470391+00:00"},{"alias_kind":"arxiv_version","alias_value":"1112.3446v2","created_at":"2026-05-18T01:59:09.470391+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1112.3446","created_at":"2026-05-18T01:59:09.470391+00:00"},{"alias_kind":"pith_short_12","alias_value":"GZ3R6AB6AXMQ","created_at":"2026-05-18T12:26:30.835961+00:00"},{"alias_kind":"pith_short_16","alias_value":"GZ3R6AB6AXMQFPWW","created_at":"2026-05-18T12:26:30.835961+00:00"},{"alias_kind":"pith_short_8","alias_value":"GZ3R6AB6","created_at":"2026-05-18T12:26:30.835961+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/GZ3R6AB6AXMQFPWW3MVV3CIYS4","json":"https://pith.science/pith/GZ3R6AB6AXMQFPWW3MVV3CIYS4.json","graph_json":"https://pith.science/api/pith-number/GZ3R6AB6AXMQFPWW3MVV3CIYS4/graph.json","events_json":"https://pith.science/api/pith-number/GZ3R6AB6AXMQFPWW3MVV3CIYS4/events.json","paper":"https://pith.science/paper/GZ3R6AB6"},"agent_actions":{"view_html":"https://pith.science/pith/GZ3R6AB6AXMQFPWW3MVV3CIYS4","download_json":"https://pith.science/pith/GZ3R6AB6AXMQFPWW3MVV3CIYS4.json","view_paper":"https://pith.science/paper/GZ3R6AB6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1112.3446&json=true","fetch_graph":"https://pith.science/api/pith-number/GZ3R6AB6AXMQFPWW3MVV3CIYS4/graph.json","fetch_events":"https://pith.science/api/pith-number/GZ3R6AB6AXMQFPWW3MVV3CIYS4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GZ3R6AB6AXMQFPWW3MVV3CIYS4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GZ3R6AB6AXMQFPWW3MVV3CIYS4/action/storage_attestation","attest_author":"https://pith.science/pith/GZ3R6AB6AXMQFPWW3MVV3CIYS4/action/author_attestation","sign_citation":"https://pith.science/pith/GZ3R6AB6AXMQFPWW3MVV3CIYS4/action/citation_signature","submit_replication":"https://pith.science/pith/GZ3R6AB6AXMQFPWW3MVV3CIYS4/action/replication_record"}},"created_at":"2026-05-18T01:59:09.470391+00:00","updated_at":"2026-05-18T01:59:09.470391+00:00"}