{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:E4FKACM7EFAAR4LTZOBMNZC7PC","short_pith_number":"pith:E4FKACM7","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"},"canonical_sha256":"270aa0099f214008f173cb82c6e45f78a5e5e2031422fcd7e0206133f5be174d","source":{"kind":"arxiv","id":"1704.08972","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.08972","created_at":"2026-05-18T00:45:24Z"},{"alias_kind":"arxiv_version","alias_value":"1704.08972v1","created_at":"2026-05-18T00:45:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.08972","created_at":"2026-05-18T00:45:24Z"},{"alias_kind":"pith_short_12","alias_value":"E4FKACM7EFAA","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"E4FKACM7EFAAR4LT","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"E4FKACM7","created_at":"2026-05-18T12:31:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:E4FKACM7EFAAR4LTZOBMNZC7PC","target":"record","payload":{"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"},"canonical_sha256":"270aa0099f214008f173cb82c6e45f78a5e5e2031422fcd7e0206133f5be174d","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"},"source_kind":"arxiv","source_id":"1704.08972","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:45:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5ouDzRC0OdGj3pmsMf6Ta5aHu6O2oWpoYb89BIw6xDvsHFtXnfc0YlzpNqeOTGaw6+sUiYEaCWjbZBHe6RAjBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T02:24:58.431483Z"},"content_sha256":"d4f24356182dff82272d42d27a490a0a85ddcfd350b77fc1144cd5063c9c9c55","schema_version":"1.0","event_id":"sha256:d4f24356182dff82272d42d27a490a0a85ddcfd350b77fc1144cd5063c9c9c55"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:E4FKACM7EFAAR4LTZOBMNZC7PC","target":"graph","payload":{"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:45:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Mch3lpXNNEycGOuDPmK4njtzmc/tzGS0FMHohSDEfuT/rVa6p22GHxpg/yXA5Ye7gc7jHdCDrrRu2feEmNVAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T02:24:58.432024Z"},"content_sha256":"ba472b845b96b14c2b7b064a2b81d40690fb71787f8fe0e8acb65de652647531","schema_version":"1.0","event_id":"sha256:ba472b845b96b14c2b7b064a2b81d40690fb71787f8fe0e8acb65de652647531"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC/bundle.json","state_url":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E4FKACM7EFAAR4LTZOBMNZC7PC/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":"2026-06-05T02:24:58Z","links":{"resolver":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC","bundle":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC/bundle.json","state":"https://pith.science/pith/E4FKACM7EFAAR4LTZOBMNZC7PC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E4FKACM7EFAAR4LTZOBMNZC7PC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:E4FKACM7EFAAR4LTZOBMNZC7PC","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":"04177218e6340ad370b479fc0d3b192bd56d4f1d1f3fbf26f58900b4897619a2","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-04-28T15:20:40Z","title_canon_sha256":"413e070232cc74f770b5e04122e74f949145964aeebe181df2f18ba8c26b67f1"},"schema_version":"1.0","source":{"id":"1704.08972","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.08972","created_at":"2026-05-18T00:45:24Z"},{"alias_kind":"arxiv_version","alias_value":"1704.08972v1","created_at":"2026-05-18T00:45:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.08972","created_at":"2026-05-18T00:45:24Z"},{"alias_kind":"pith_short_12","alias_value":"E4FKACM7EFAA","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"E4FKACM7EFAAR4LT","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"E4FKACM7","created_at":"2026-05-18T12:31:12Z"}],"graph_snapshots":[{"event_id":"sha256:ba472b845b96b14c2b7b064a2b81d40690fb71787f8fe0e8acb65de652647531","target":"graph","created_at":"2026-05-18T00:45:24Z","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 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.","authors_text":"Angelique Dremeau, Antoine Deleforge","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-04-28T15:20:40Z","title":"Phase retrieval with a multivariate Von Mises prior: from a Bayesian formulation to a lifting solution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.08972","kind":"arxiv","version":1},"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:d4f24356182dff82272d42d27a490a0a85ddcfd350b77fc1144cd5063c9c9c55","target":"record","created_at":"2026-05-18T00:45:24Z","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":"04177218e6340ad370b479fc0d3b192bd56d4f1d1f3fbf26f58900b4897619a2","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-04-28T15:20:40Z","title_canon_sha256":"413e070232cc74f770b5e04122e74f949145964aeebe181df2f18ba8c26b67f1"},"schema_version":"1.0","source":{"id":"1704.08972","kind":"arxiv","version":1}},"canonical_sha256":"270aa0099f214008f173cb82c6e45f78a5e5e2031422fcd7e0206133f5be174d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"270aa0099f214008f173cb82c6e45f78a5e5e2031422fcd7e0206133f5be174d","first_computed_at":"2026-05-18T00:45:24.779966Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:45:24.779966Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Nv/EYSQprRr+mVnexERAFXQ214iFDHXzx8d4WbgJRQzukQXMRogdyAOPm6nC+bh+uYNVT231M34Xezr9EhwvAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:45:24.780455Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.08972","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4f24356182dff82272d42d27a490a0a85ddcfd350b77fc1144cd5063c9c9c55","sha256:ba472b845b96b14c2b7b064a2b81d40690fb71787f8fe0e8acb65de652647531"],"state_sha256":"e6a5950d9d0c029c532369b469f31ae6a4137912712ebd4a4175e5175058897e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XYaJ+nyA/qmOgKWXBN05++8hfxwD8eu+adhLtqfF9khORUDicTfKVT+xOjlFlF7OJhnsIYfaVQPQE5VctK3NCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T02:24:58.436758Z","bundle_sha256":"313c5c2e55d276687ac05ec181d7b3d3533ab45456d5906ebc43ba8141041e59"}}