{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:HM4G4VR4NMAZMUCM2SXUR6MB4X","short_pith_number":"pith:HM4G4VR4","canonical_record":{"source":{"id":"1701.01748","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-01-06T19:58:19Z","cross_cats_sorted":[],"title_canon_sha256":"bcc43968ae4d650fa2f5e3617a2b7dc7d90fdb9d5767a4f37518038bb15107c1","abstract_canon_sha256":"3adcfb814412064867cbbdbe3387af0cc0ef6f82dd49a95f7272a7eccae7517a"},"schema_version":"1.0"},"canonical_sha256":"3b386e563c6b0196504cd4af48f981e5f47f4a75ad581f09c5ba407fcb047f31","source":{"kind":"arxiv","id":"1701.01748","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.01748","created_at":"2026-05-18T00:43:43Z"},{"alias_kind":"arxiv_version","alias_value":"1701.01748v2","created_at":"2026-05-18T00:43:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.01748","created_at":"2026-05-18T00:43:43Z"},{"alias_kind":"pith_short_12","alias_value":"HM4G4VR4NMAZ","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HM4G4VR4NMAZMUCM","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HM4G4VR4","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:HM4G4VR4NMAZMUCM2SXUR6MB4X","target":"record","payload":{"canonical_record":{"source":{"id":"1701.01748","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-01-06T19:58:19Z","cross_cats_sorted":[],"title_canon_sha256":"bcc43968ae4d650fa2f5e3617a2b7dc7d90fdb9d5767a4f37518038bb15107c1","abstract_canon_sha256":"3adcfb814412064867cbbdbe3387af0cc0ef6f82dd49a95f7272a7eccae7517a"},"schema_version":"1.0"},"canonical_sha256":"3b386e563c6b0196504cd4af48f981e5f47f4a75ad581f09c5ba407fcb047f31","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:43.310030Z","signature_b64":"gaJbRFsgVB8aqxKuLJcziEnB1pM7Qe4GigzNyjwT7E2X3E4FCCyz+8hdnyTntDXP6b2kwo4GcpBwZX0NY/yuCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b386e563c6b0196504cd4af48f981e5f47f4a75ad581f09c5ba407fcb047f31","last_reissued_at":"2026-05-18T00:43:43.309478Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:43.309478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1701.01748","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:43:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WqRGdolDcbjHlIUQ2BCN/mI58J4vuwRaOUxV+THgsNVz5SRJGDQ9WxCZQY4xVpFq+BO/OZp0Jv0y2a43XJpUAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T21:28:49.774890Z"},"content_sha256":"3a569721c234537f0d02c4323d149eca11abda1bbd6d62fcb05dddc82ec21459","schema_version":"1.0","event_id":"sha256:3a569721c234537f0d02c4323d149eca11abda1bbd6d62fcb05dddc82ec21459"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:HM4G4VR4NMAZMUCM2SXUR6MB4X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An accelerated splitting algorithm for radio-interferometric imaging: when natural and uniform weighting meet","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Alexandru Onose, Arwa Dabbech, Yves Wiaux","submitted_at":"2017-01-06T19:58:19Z","abstract_excerpt":"Next generation radio-interferometers, like the Square Kilometre Array, will acquire tremendous amounts of data with the goal of improving the size and sensitivity of the reconstructed images by orders of magnitude. The efficient processing of large-scale data sets is of great importance. We propose an acceleration strategy for a recently proposed primal-dual distributed algorithm. A preconditioning approach can incorporate into the algorithmic structure both the sampling density of the measured visibilities and the noise statistics. Using the sampling density information greatly accelerates t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.01748","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:43:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LeYEFjqry0otLLXAweVOL6ER6HALcivhokrOqRSEbwcEpA5grHli1rFxggOC8wvgHtsjXjclBMDenlj9peQCCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T21:28:49.775513Z"},"content_sha256":"8466a8995932b4a5a983f73d9e8a7ebaf0e0918918d61d8b99683cbd04c12621","schema_version":"1.0","event_id":"sha256:8466a8995932b4a5a983f73d9e8a7ebaf0e0918918d61d8b99683cbd04c12621"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HM4G4VR4NMAZMUCM2SXUR6MB4X/bundle.json","state_url":"https://pith.science/pith/HM4G4VR4NMAZMUCM2SXUR6MB4X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HM4G4VR4NMAZMUCM2SXUR6MB4X/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-06T21:28:49Z","links":{"resolver":"https://pith.science/pith/HM4G4VR4NMAZMUCM2SXUR6MB4X","bundle":"https://pith.science/pith/HM4G4VR4NMAZMUCM2SXUR6MB4X/bundle.json","state":"https://pith.science/pith/HM4G4VR4NMAZMUCM2SXUR6MB4X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HM4G4VR4NMAZMUCM2SXUR6MB4X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:HM4G4VR4NMAZMUCM2SXUR6MB4X","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":"3adcfb814412064867cbbdbe3387af0cc0ef6f82dd49a95f7272a7eccae7517a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-01-06T19:58:19Z","title_canon_sha256":"bcc43968ae4d650fa2f5e3617a2b7dc7d90fdb9d5767a4f37518038bb15107c1"},"schema_version":"1.0","source":{"id":"1701.01748","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.01748","created_at":"2026-05-18T00:43:43Z"},{"alias_kind":"arxiv_version","alias_value":"1701.01748v2","created_at":"2026-05-18T00:43:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.01748","created_at":"2026-05-18T00:43:43Z"},{"alias_kind":"pith_short_12","alias_value":"HM4G4VR4NMAZ","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HM4G4VR4NMAZMUCM","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HM4G4VR4","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:8466a8995932b4a5a983f73d9e8a7ebaf0e0918918d61d8b99683cbd04c12621","target":"graph","created_at":"2026-05-18T00:43:43Z","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":"Next generation radio-interferometers, like the Square Kilometre Array, will acquire tremendous amounts of data with the goal of improving the size and sensitivity of the reconstructed images by orders of magnitude. The efficient processing of large-scale data sets is of great importance. We propose an acceleration strategy for a recently proposed primal-dual distributed algorithm. A preconditioning approach can incorporate into the algorithmic structure both the sampling density of the measured visibilities and the noise statistics. Using the sampling density information greatly accelerates t","authors_text":"Alexandru Onose, Arwa Dabbech, Yves Wiaux","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-01-06T19:58:19Z","title":"An accelerated splitting algorithm for radio-interferometric imaging: when natural and uniform weighting meet"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.01748","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":"sha256:3a569721c234537f0d02c4323d149eca11abda1bbd6d62fcb05dddc82ec21459","target":"record","created_at":"2026-05-18T00:43:43Z","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":"3adcfb814412064867cbbdbe3387af0cc0ef6f82dd49a95f7272a7eccae7517a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-01-06T19:58:19Z","title_canon_sha256":"bcc43968ae4d650fa2f5e3617a2b7dc7d90fdb9d5767a4f37518038bb15107c1"},"schema_version":"1.0","source":{"id":"1701.01748","kind":"arxiv","version":2}},"canonical_sha256":"3b386e563c6b0196504cd4af48f981e5f47f4a75ad581f09c5ba407fcb047f31","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b386e563c6b0196504cd4af48f981e5f47f4a75ad581f09c5ba407fcb047f31","first_computed_at":"2026-05-18T00:43:43.309478Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:43.309478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gaJbRFsgVB8aqxKuLJcziEnB1pM7Qe4GigzNyjwT7E2X3E4FCCyz+8hdnyTntDXP6b2kwo4GcpBwZX0NY/yuCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:43.310030Z","signed_message":"canonical_sha256_bytes"},"source_id":"1701.01748","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a569721c234537f0d02c4323d149eca11abda1bbd6d62fcb05dddc82ec21459","sha256:8466a8995932b4a5a983f73d9e8a7ebaf0e0918918d61d8b99683cbd04c12621"],"state_sha256":"c2b352cc4e1f5ae9a4ad6294b52a28040f305329d24f91896f3919f213c7f858"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SLrf7qZd15yrd1+uYwlJYPBLUlLD9sI0hWV1DpKgwiMEMAkuFeUbL3tv0dgDasUw97dMzYlZBQk1uaI/Vl5ZBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T21:28:49.778783Z","bundle_sha256":"205281d06e210650a2722e6400c54088aa710ddb7c3b493d654a4722bbe1cce4"}}