{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:OPANQAEYOBXFODB3373A7YLQDI","short_pith_number":"pith:OPANQAEY","schema_version":"1.0","canonical_sha256":"73c0d80098706e570c3bdff60fe1701a13fbd9e4f7a020081239ee17c653ad20","source":{"kind":"arxiv","id":"2401.13349","version":1},"attestation_state":"computed","paper":{"title":"Using multiobjective optimization to reconstruct interferometric data (II): polarimetry and time dynamics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.GA","math.OC"],"primary_cat":"astro-ph.IM","authors_text":"Alejandro Mus, Andrei Lobanov, Hendrik M\\\"uller, Ivan Mart\\'i-Vidal","submitted_at":"2024-01-24T10:25:39Z","abstract_excerpt":"In Very Long Baseline Interferometry (VLBI), signals from multiple antennas combine to create a sparsely sampled virtual aperture, its effective diameter determined by the largest antenna separation. The inherent sparsity makes VLBI imaging an ill-posed inverse problem, prompting the use of algorithms like the Multiobjective Evolutionary Algorithm by Decomposition (MOEA/D), as proposed in the first paper of this series. This study focuses on extending MOEA/D to polarimetric and time dynamic reconstructions, particularly relevant for the VLBI community and the Event Horizon Telescope Collaborat"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2401.13349","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2024-01-24T10:25:39Z","cross_cats_sorted":["astro-ph.GA","math.OC"],"title_canon_sha256":"4347937cee8a50f09184fab54b4e23533eace2e6a84c2e2a0f17ffe14f4487df","abstract_canon_sha256":"49369b5316143ad7fab0790d7d0f92f78836887fd7e93684438b52c8c4ad9468"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:37:04.212507Z","signature_b64":"CdepxF7lmnb+eKGoQ43ksIyuOAZ7xeymHGjkdwPXBNTfHPZlIbzYFLAjcb9MzyWpJjXPbH+Ue+beMjNgA6C6DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"73c0d80098706e570c3bdff60fe1701a13fbd9e4f7a020081239ee17c653ad20","last_reissued_at":"2026-07-05T07:37:04.212035Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:37:04.212035Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Using multiobjective optimization to reconstruct interferometric data (II): polarimetry and time dynamics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.GA","math.OC"],"primary_cat":"astro-ph.IM","authors_text":"Alejandro Mus, Andrei Lobanov, Hendrik M\\\"uller, Ivan Mart\\'i-Vidal","submitted_at":"2024-01-24T10:25:39Z","abstract_excerpt":"In Very Long Baseline Interferometry (VLBI), signals from multiple antennas combine to create a sparsely sampled virtual aperture, its effective diameter determined by the largest antenna separation. The inherent sparsity makes VLBI imaging an ill-posed inverse problem, prompting the use of algorithms like the Multiobjective Evolutionary Algorithm by Decomposition (MOEA/D), as proposed in the first paper of this series. This study focuses on extending MOEA/D to polarimetric and time dynamic reconstructions, particularly relevant for the VLBI community and the Event Horizon Telescope Collaborat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.13349","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2401.13349/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2401.13349","created_at":"2026-07-05T07:37:04.212085+00:00"},{"alias_kind":"arxiv_version","alias_value":"2401.13349v1","created_at":"2026-07-05T07:37:04.212085+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.13349","created_at":"2026-07-05T07:37:04.212085+00:00"},{"alias_kind":"pith_short_12","alias_value":"OPANQAEYOBXF","created_at":"2026-07-05T07:37:04.212085+00:00"},{"alias_kind":"pith_short_16","alias_value":"OPANQAEYOBXFODB3","created_at":"2026-07-05T07:37:04.212085+00:00"},{"alias_kind":"pith_short_8","alias_value":"OPANQAEY","created_at":"2026-07-05T07:37:04.212085+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2607.08657","citing_title":"VAPOLA -- A multi-year, multi-band polarization survey of AGN and Sgr A* at mm wavelengths with ALMA I. Survey Overview and Science-Ready Archival Products","ref_index":164,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OPANQAEYOBXFODB3373A7YLQDI","json":"https://pith.science/pith/OPANQAEYOBXFODB3373A7YLQDI.json","graph_json":"https://pith.science/api/pith-number/OPANQAEYOBXFODB3373A7YLQDI/graph.json","events_json":"https://pith.science/api/pith-number/OPANQAEYOBXFODB3373A7YLQDI/events.json","paper":"https://pith.science/paper/OPANQAEY"},"agent_actions":{"view_html":"https://pith.science/pith/OPANQAEYOBXFODB3373A7YLQDI","download_json":"https://pith.science/pith/OPANQAEYOBXFODB3373A7YLQDI.json","view_paper":"https://pith.science/paper/OPANQAEY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2401.13349&json=true","fetch_graph":"https://pith.science/api/pith-number/OPANQAEYOBXFODB3373A7YLQDI/graph.json","fetch_events":"https://pith.science/api/pith-number/OPANQAEYOBXFODB3373A7YLQDI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OPANQAEYOBXFODB3373A7YLQDI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OPANQAEYOBXFODB3373A7YLQDI/action/storage_attestation","attest_author":"https://pith.science/pith/OPANQAEYOBXFODB3373A7YLQDI/action/author_attestation","sign_citation":"https://pith.science/pith/OPANQAEYOBXFODB3373A7YLQDI/action/citation_signature","submit_replication":"https://pith.science/pith/OPANQAEYOBXFODB3373A7YLQDI/action/replication_record"}},"created_at":"2026-07-05T07:37:04.212085+00:00","updated_at":"2026-07-05T07:37:04.212085+00:00"}