{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:E4FKACM7EFAAR4LTZOBMNZC7PC","short_pith_number":"pith:E4FKACM7","schema_version":"1.0","canonical_sha256":"270aa0099f214008f173cb82c6e45f78a5e5e2031422fcd7e0206133f5be174d","source":{"kind":"arxiv","id":"1704.08972","version":1},"attestation_state":"computed","paper":{"title":"Phase retrieval with a multivariate Von Mises prior: from a Bayesian formulation to a lifting solution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Angelique Dremeau, Antoine Deleforge","submitted_at":"2017-04-28T15:20:40Z","abstract_excerpt":"In this paper, we investigate a new method for phase recovery when prior information on the missing phases is available. In particular, we propose to take into account this information in a generic fashion by means of a multivariate Von Mises dis- tribution. Building on a Bayesian formulation (a Maximum A Posteriori estimation), we show that the problem can be expressed using a Mahalanobis distance and be solved by a lifting optimization procedure."},"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":"1704.08972","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-04-28T15:20:40Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"413e070232cc74f770b5e04122e74f949145964aeebe181df2f18ba8c26b67f1","abstract_canon_sha256":"04177218e6340ad370b479fc0d3b192bd56d4f1d1f3fbf26f58900b4897619a2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:45:24.780455Z","signature_b64":"Nv/EYSQprRr+mVnexERAFXQ214iFDHXzx8d4WbgJRQzukQXMRogdyAOPm6nC+bh+uYNVT231M34Xezr9EhwvAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"270aa0099f214008f173cb82c6e45f78a5e5e2031422fcd7e0206133f5be174d","last_reissued_at":"2026-05-18T00:45:24.779966Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:45:24.779966Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Phase retrieval with a multivariate Von Mises prior: from a Bayesian formulation to a lifting solution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Angelique Dremeau, Antoine Deleforge","submitted_at":"2017-04-28T15:20:40Z","abstract_excerpt":"In this paper, we investigate a new method for phase recovery when prior information on the missing phases is available. In particular, we propose to take into account this information in a generic fashion by means of a multivariate Von Mises dis- tribution. Building on a Bayesian formulation (a Maximum A Posteriori estimation), we show that the problem can be expressed using a Mahalanobis distance and be solved by a lifting optimization procedure."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.08972","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":""},"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":"1704.08972","created_at":"2026-05-18T00:45:24.780026+00:00"},{"alias_kind":"arxiv_version","alias_value":"1704.08972v1","created_at":"2026-05-18T00:45:24.780026+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.08972","created_at":"2026-05-18T00:45:24.780026+00:00"},{"alias_kind":"pith_short_12","alias_value":"E4FKACM7EFAA","created_at":"2026-05-18T12:31:12.930513+00:00"},{"alias_kind":"pith_short_16","alias_value":"E4FKACM7EFAAR4LT","created_at":"2026-05-18T12:31:12.930513+00:00"},{"alias_kind":"pith_short_8","alias_value":"E4FKACM7","created_at":"2026-05-18T12:31:12.930513+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC","json":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC.json","graph_json":"https://pith.science/api/pith-number/E4FKACM7EFAAR4LTZOBMNZC7PC/graph.json","events_json":"https://pith.science/api/pith-number/E4FKACM7EFAAR4LTZOBMNZC7PC/events.json","paper":"https://pith.science/paper/E4FKACM7"},"agent_actions":{"view_html":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC","download_json":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC.json","view_paper":"https://pith.science/paper/E4FKACM7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1704.08972&json=true","fetch_graph":"https://pith.science/api/pith-number/E4FKACM7EFAAR4LTZOBMNZC7PC/graph.json","fetch_events":"https://pith.science/api/pith-number/E4FKACM7EFAAR4LTZOBMNZC7PC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC/action/storage_attestation","attest_author":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC/action/author_attestation","sign_citation":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC/action/citation_signature","submit_replication":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC/action/replication_record"}},"created_at":"2026-05-18T00:45:24.780026+00:00","updated_at":"2026-05-18T00:45:24.780026+00:00"}