{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WL7TH6UUDBDLITE4R4KTTTBCNW","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":"f162a5651031a012d7f5a283b527073d3ecefdc6ccd4e2735b73b49803a6978d","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-02-05T04:52:26Z","title_canon_sha256":"7f249307842b03df2db9719389323b8425d4931bfdfbf229db30d3b31f857c54"},"schema_version":"1.0","source":{"id":"1802.01266","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.01266","created_at":"2026-05-17T23:46:46Z"},{"alias_kind":"arxiv_version","alias_value":"1802.01266v3","created_at":"2026-05-17T23:46:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.01266","created_at":"2026-05-17T23:46:46Z"},{"alias_kind":"pith_short_12","alias_value":"WL7TH6UUDBDL","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"WL7TH6UUDBDLITE4","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"WL7TH6UU","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:6a2f6d947ade12613fc29f874597fad4718ce948cda2729092b868315faa7a6e","target":"graph","created_at":"2026-05-17T23:46:46Z","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":"In this paper, multi-snapshot Newtonized orthogonal matching pursuit (MNOMP) algorithm is proposed to deal with the line spectrum estimation with multiple measurement vectors (MMVs). MNOMP has the low computation complexity and state-of-the-art performance advantage of NOMP, and also includes two key steps: Detecting a new sinusoid on an oversampled discrete Fourier transform (DFT) grid and refining the parameters of already detected sinusoids to avoid the problem of basis mismatch. We provide a stopping criterion based on the overestimating probability of the model order. In addition, the con","authors_text":"Jiang Zhu, Lin Han, Rick S. Blum, Zhiwei Xu","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-02-05T04:52:26Z","title":"Multi-snapshot Newtonized Orthogonal Matching Pursuit for Line Spectrum Estimation with Multiple Measurement Vectors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.01266","kind":"arxiv","version":3},"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":"sha256:152bb907f271d95df0b3dcba287ea70ea2ad214626a59f13df917f9eab837c1c","target":"record","created_at":"2026-05-17T23:46:46Z","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":"f162a5651031a012d7f5a283b527073d3ecefdc6ccd4e2735b73b49803a6978d","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-02-05T04:52:26Z","title_canon_sha256":"7f249307842b03df2db9719389323b8425d4931bfdfbf229db30d3b31f857c54"},"schema_version":"1.0","source":{"id":"1802.01266","kind":"arxiv","version":3}},"canonical_sha256":"b2ff33fa941846b44c9c8f1539cc226dbf30fa4c9ac86be02489526a52a1e42e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2ff33fa941846b44c9c8f1539cc226dbf30fa4c9ac86be02489526a52a1e42e","first_computed_at":"2026-05-17T23:46:46.462440Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:46.462440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JlypgSgzS+bfDayRT4uw1hZxczmT5cl1THC103Fzo5aZ/bc5+thJXCnPrNn1JLL7Ct+y1Qiu1XOc4wGSlENMCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:46.462806Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.01266","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:152bb907f271d95df0b3dcba287ea70ea2ad214626a59f13df917f9eab837c1c","sha256:6a2f6d947ade12613fc29f874597fad4718ce948cda2729092b868315faa7a6e"],"state_sha256":"cd6b6bc43a8e355dc0df6dad996b16edb74b23e4bd6eee580e841d2087ce0c48"}