{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:ARDDSWA3KLFEEADTYAGH7TSA4H","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":"4876d45216346832bd5b7dd2559e0ebc71560365262d3c12cf26a6263ba90fe1","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-09-12T17:48:38Z","title_canon_sha256":"f1107d42077383a9f0ebf1dcfeff138148ea2965e575cfb84c6265a4ddbc8392"},"schema_version":"1.0","source":{"id":"1610.08495","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.08495","created_at":"2026-05-18T01:01:09Z"},{"alias_kind":"arxiv_version","alias_value":"1610.08495v1","created_at":"2026-05-18T01:01:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.08495","created_at":"2026-05-18T01:01:09Z"},{"alias_kind":"pith_short_12","alias_value":"ARDDSWA3KLFE","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"ARDDSWA3KLFEEADT","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"ARDDSWA3","created_at":"2026-05-18T12:30:07Z"}],"graph_snapshots":[{"event_id":"sha256:72df0420b1613cb8c92958e918b753e8d4300f662d53de87862d3e6ef2fdffad","target":"graph","created_at":"2026-05-18T01:01:09Z","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":"Spike and Slab priors have been of much recent interest in signal processing as a means of inducing sparsity in Bayesian inference. Applications domains that benefit from the use of these priors include sparse recovery, regression and classification. It is well-known that solving for the sparse coefficient vector to maximize these priors results in a hard non-convex and mixed integer programming problem. Most existing solutions to this optimization problem either involve simplifying assumptions/relaxations or are computationally expensive. We propose a new greedy and adaptive matching pursuit ","authors_text":"Hojjat S. Mousavi, Tiep H. Vu, Vishal Monga","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-09-12T17:48:38Z","title":"Adaptive matching pursuit for sparse signal recovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.08495","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":"sha256:3f70c2a496cb21935047a84656b7903f4dc1a8efa79d73e1d9836b24a19c150c","target":"record","created_at":"2026-05-18T01:01:09Z","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":"4876d45216346832bd5b7dd2559e0ebc71560365262d3c12cf26a6263ba90fe1","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-09-12T17:48:38Z","title_canon_sha256":"f1107d42077383a9f0ebf1dcfeff138148ea2965e575cfb84c6265a4ddbc8392"},"schema_version":"1.0","source":{"id":"1610.08495","kind":"arxiv","version":1}},"canonical_sha256":"044639581b52ca420073c00c7fce40e1f9b8b28970b40d59c3bb1ad74dc93cd8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"044639581b52ca420073c00c7fce40e1f9b8b28970b40d59c3bb1ad74dc93cd8","first_computed_at":"2026-05-18T01:01:09.257509Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:01:09.257509Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yKk4GDUanirpngEkZUOP+s9dL1P9dxkzPHTtXExs5Ro+uzwzVCtIhLRK3Y79dt/udKqF3+IY4m9IYh34B/XVBw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:01:09.258220Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.08495","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3f70c2a496cb21935047a84656b7903f4dc1a8efa79d73e1d9836b24a19c150c","sha256:72df0420b1613cb8c92958e918b753e8d4300f662d53de87862d3e6ef2fdffad"],"state_sha256":"3e4563f9358ee84842146f4ae5c963f7a4e7e0c9b37d6f2b9c31eb8e09db478a"}