{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2009:VHK4VXYX5WP57KYO6XUBOA32TJ","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":"0afdd381e015817d8da3ca6f66dd36160d0415c0f7f30303475c13de0dbc51bc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2009-04-22T01:05:20Z","title_canon_sha256":"040b84b5fd2848842880829ce44399232bb30c87fbcc1e6c469200b0eb9e65a7"},"schema_version":"1.0","source":{"id":"0904.3367","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0904.3367","created_at":"2026-05-18T04:24:27Z"},{"alias_kind":"arxiv_version","alias_value":"0904.3367v1","created_at":"2026-05-18T04:24:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0904.3367","created_at":"2026-05-18T04:24:27Z"},{"alias_kind":"pith_short_12","alias_value":"VHK4VXYX5WP5","created_at":"2026-05-18T12:26:02Z"},{"alias_kind":"pith_short_16","alias_value":"VHK4VXYX5WP57KYO","created_at":"2026-05-18T12:26:02Z"},{"alias_kind":"pith_short_8","alias_value":"VHK4VXYX","created_at":"2026-05-18T12:26:02Z"}],"graph_snapshots":[{"event_id":"sha256:5ea0db03bd949fc93f84b029fafde38abe49d84f64d2a16afa43e251c6ad4b8a","target":"graph","created_at":"2026-05-18T04:24:27Z","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":"Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the recent field of compressed sensing is already quite immense. Inspired by recent breakthroughs in the development of novel first-order methods in convex optimization, most notably Nesterov's smoothing technique, this paper introduces a fast and accurate algorithm for solving common recovery problems in signal processing. In the spirit of Nesterov's work, one of the key ideas of this algorithm is a subtle averaging of sequences of i","authors_text":"Emmanuel Candes, Jerome Bobin, Stephen Becker","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2009-04-22T01:05:20Z","title":"NESTA: A Fast and Accurate First-order Method for Sparse Recovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0904.3367","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:af7bbb6f83192a2e1bd63ff4ef20e1b4bbe737d139085b35db859cfba13461c6","target":"record","created_at":"2026-05-18T04:24:27Z","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":"0afdd381e015817d8da3ca6f66dd36160d0415c0f7f30303475c13de0dbc51bc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2009-04-22T01:05:20Z","title_canon_sha256":"040b84b5fd2848842880829ce44399232bb30c87fbcc1e6c469200b0eb9e65a7"},"schema_version":"1.0","source":{"id":"0904.3367","kind":"arxiv","version":1}},"canonical_sha256":"a9d5cadf17ed9fdfab0ef5e817037a9a63218629d44f79be0e1bc6e2a607d61f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a9d5cadf17ed9fdfab0ef5e817037a9a63218629d44f79be0e1bc6e2a607d61f","first_computed_at":"2026-05-18T04:24:27.856684Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:24:27.856684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZPJRWVddwSq3Pc8lvGF7T+kPR1e2+Ehq9udldFk1cMdb4mrZUL3fFUQwDkPwnVaLkXiOSZllMt6QrFkPcGbxCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T04:24:27.857406Z","signed_message":"canonical_sha256_bytes"},"source_id":"0904.3367","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:af7bbb6f83192a2e1bd63ff4ef20e1b4bbe737d139085b35db859cfba13461c6","sha256:5ea0db03bd949fc93f84b029fafde38abe49d84f64d2a16afa43e251c6ad4b8a"],"state_sha256":"edd34dc1a19ef87dfdfc99eed0ddee94a8aaa5742de1b04ba998f9034c0acd7c"}