{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:JZYLR5RB7KIOSYUNJTYJNO2II6","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":"42c9a3439113982abd0e685ab2c94e04a4bc833a21ee040491d15524f94214c8","cross_cats_sorted":["cs.DC","math.IT","math.OC"],"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.IT","submitted_at":"2013-01-10T14:16:33Z","title_canon_sha256":"255ffc2350013d9e8bc2b0fd927cf37db55b75874dd3056a23dad375ba4eafaf"},"schema_version":"1.0","source":{"id":"1301.2130","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1301.2130","created_at":"2026-05-18T03:10:37Z"},{"alias_kind":"arxiv_version","alias_value":"1301.2130v2","created_at":"2026-05-18T03:10:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1301.2130","created_at":"2026-05-18T03:10:37Z"},{"alias_kind":"pith_short_12","alias_value":"JZYLR5RB7KIO","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_16","alias_value":"JZYLR5RB7KIOSYUN","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_8","alias_value":"JZYLR5RB","created_at":"2026-05-18T12:27:49Z"}],"graph_snapshots":[{"event_id":"sha256:a68891c81b7f7c6d4be01708a74341625dde7dac3338dd055adbdfb03b3a1374","target":"graph","created_at":"2026-05-18T03:10:37Z","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, we address the problem of distributed sparse recovery of signals acquired via compressed measurements in a sensor network. We propose a new class of distributed algorithms to solve Lasso regression problems, when the communication to a fusion center is not possible, e.g., due to communication cost or privacy reasons. More precisely, we introduce a distributed iterative soft thresholding algorithm (DISTA) that consists of three steps: an averaging step, a gradient step, and a soft thresholding operation. We prove the convergence of DISTA in networks represented by regular graphs,","authors_text":"Chiara Ravazzi, Enrico Magli, Sophie M. Fosson","cross_cats":["cs.DC","math.IT","math.OC"],"headline":"","license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.IT","submitted_at":"2013-01-10T14:16:33Z","title":"Distributed soft thresholding for sparse signal recovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.2130","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":"sha256:252d1794e227164509364756927591b2eeb26ce2d18a5e2f366c82dbdc322d16","target":"record","created_at":"2026-05-18T03:10:37Z","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":"42c9a3439113982abd0e685ab2c94e04a4bc833a21ee040491d15524f94214c8","cross_cats_sorted":["cs.DC","math.IT","math.OC"],"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.IT","submitted_at":"2013-01-10T14:16:33Z","title_canon_sha256":"255ffc2350013d9e8bc2b0fd927cf37db55b75874dd3056a23dad375ba4eafaf"},"schema_version":"1.0","source":{"id":"1301.2130","kind":"arxiv","version":2}},"canonical_sha256":"4e70b8f621fa90e9628d4cf096bb484795dafd28c0e2d774d410ded0203fee6e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e70b8f621fa90e9628d4cf096bb484795dafd28c0e2d774d410ded0203fee6e","first_computed_at":"2026-05-18T03:10:37.123778Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:10:37.123778Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7OTOx+mO693ymgB1Zo30M9g1s6QVQK/LgyD/jJVH03vHVzvLPHbsaNh0vnftkU5wt+20vbD+DVln0UVmrUy4BA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:10:37.124448Z","signed_message":"canonical_sha256_bytes"},"source_id":"1301.2130","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:252d1794e227164509364756927591b2eeb26ce2d18a5e2f366c82dbdc322d16","sha256:a68891c81b7f7c6d4be01708a74341625dde7dac3338dd055adbdfb03b3a1374"],"state_sha256":"f323c14a6657fe0b2402c740f76c4a6ac9b40e6acf6816e1d172e1c152b5101f"}