{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:PFLAEKDBUSXZTBIO63FEXCHJZQ","short_pith_number":"pith:PFLAEKDB","canonical_record":{"source":{"id":"1702.03950","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-02-13T19:06:28Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"a9081c04f701a6d99cae8fccea2e1ce3f352bb7b1fbbca44c367d6835649937f","abstract_canon_sha256":"ad31f873666567f2f4da74ae59d7a8b02eda9a8e9d5e791e7f7ebd0105e725f7"},"schema_version":"1.0"},"canonical_sha256":"7956022861a4af99850ef6ca4b88e9cc19dbc4a74e3ca1f26d67386f208def7a","source":{"kind":"arxiv","id":"1702.03950","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.03950","created_at":"2026-05-18T00:50:51Z"},{"alias_kind":"arxiv_version","alias_value":"1702.03950v1","created_at":"2026-05-18T00:50:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.03950","created_at":"2026-05-18T00:50:51Z"},{"alias_kind":"pith_short_12","alias_value":"PFLAEKDBUSXZ","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PFLAEKDBUSXZTBIO","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PFLAEKDB","created_at":"2026-05-18T12:31:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:PFLAEKDBUSXZTBIO63FEXCHJZQ","target":"record","payload":{"canonical_record":{"source":{"id":"1702.03950","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-02-13T19:06:28Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"a9081c04f701a6d99cae8fccea2e1ce3f352bb7b1fbbca44c367d6835649937f","abstract_canon_sha256":"ad31f873666567f2f4da74ae59d7a8b02eda9a8e9d5e791e7f7ebd0105e725f7"},"schema_version":"1.0"},"canonical_sha256":"7956022861a4af99850ef6ca4b88e9cc19dbc4a74e3ca1f26d67386f208def7a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:50:51.539000Z","signature_b64":"1PGPxr69bRxtY8YThg/TCEHOOZyu1kmhPWR313ZtAx4DhU4/YC1lm/bEFBcJs/aNbm0ywaz1K+nMARv30YwmBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7956022861a4af99850ef6ca4b88e9cc19dbc4a74e3ca1f26d67386f208def7a","last_reissued_at":"2026-05-18T00:50:51.538498Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:50:51.538498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.03950","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":"2026-05-18T00:50:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"54SPdfq5PQXo8b05bvgCNfC1OMG009H41FxK8t7TNccg+LOUZowzfjZtaY4NSaa3i2kNRneL6qZwYY4XYO1/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T21:03:18.643769Z"},"content_sha256":"cc6a9c23346927f6f5044f4fef1ad5f0a0d41fb0ddc0405976dd52195623789d","schema_version":"1.0","event_id":"sha256:cc6a9c23346927f6f5044f4fef1ad5f0a0d41fb0ddc0405976dd52195623789d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:PFLAEKDBUSXZTBIO63FEXCHJZQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Fran\\c{c}ois Septier, Lyudmila Mihaylova, Matthew Hawes, Simon Godsill","submitted_at":"2017-02-13T19:06:28Z","abstract_excerpt":"The problem of estimating the dynamic direction of arrival of far field signals impinging on a uniform linear array, with mutual coupling effects, is addressed. This work proposes two novel approaches able to provide accurate solutions, including at the endfire regions of the array. Firstly, a Bayesian compressive sensing Kalman filter is developed, which accounts for the predicted estimated signals rather than using the traditional sparse prior. The posterior probability density function of the received source signals and the expression for the related marginal likelihood function are derived"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.03950","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":"2026-05-18T00:50:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QwDLUJ12gl56+NiOzL07PifykNdtcPforEM/jXBA/Amf0GcbddWE/xHxjS3xYhVem0Fk7YP++QOrfdP4Wz1lAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T21:03:18.644444Z"},"content_sha256":"3e18ae55cbd40829f8f6a046e6d0515fa55fbf4c276d7cd8f6b43a875e2f27a6","schema_version":"1.0","event_id":"sha256:3e18ae55cbd40829f8f6a046e6d0515fa55fbf4c276d7cd8f6b43a875e2f27a6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PFLAEKDBUSXZTBIO63FEXCHJZQ/bundle.json","state_url":"https://pith.science/pith/PFLAEKDBUSXZTBIO63FEXCHJZQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PFLAEKDBUSXZTBIO63FEXCHJZQ/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":"2026-06-09T21:03:18Z","links":{"resolver":"https://pith.science/pith/PFLAEKDBUSXZTBIO63FEXCHJZQ","bundle":"https://pith.science/pith/PFLAEKDBUSXZTBIO63FEXCHJZQ/bundle.json","state":"https://pith.science/pith/PFLAEKDBUSXZTBIO63FEXCHJZQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PFLAEKDBUSXZTBIO63FEXCHJZQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:PFLAEKDBUSXZTBIO63FEXCHJZQ","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":"ad31f873666567f2f4da74ae59d7a8b02eda9a8e9d5e791e7f7ebd0105e725f7","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-02-13T19:06:28Z","title_canon_sha256":"a9081c04f701a6d99cae8fccea2e1ce3f352bb7b1fbbca44c367d6835649937f"},"schema_version":"1.0","source":{"id":"1702.03950","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.03950","created_at":"2026-05-18T00:50:51Z"},{"alias_kind":"arxiv_version","alias_value":"1702.03950v1","created_at":"2026-05-18T00:50:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.03950","created_at":"2026-05-18T00:50:51Z"},{"alias_kind":"pith_short_12","alias_value":"PFLAEKDBUSXZ","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PFLAEKDBUSXZTBIO","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PFLAEKDB","created_at":"2026-05-18T12:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:3e18ae55cbd40829f8f6a046e6d0515fa55fbf4c276d7cd8f6b43a875e2f27a6","target":"graph","created_at":"2026-05-18T00:50:51Z","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":"The problem of estimating the dynamic direction of arrival of far field signals impinging on a uniform linear array, with mutual coupling effects, is addressed. This work proposes two novel approaches able to provide accurate solutions, including at the endfire regions of the array. Firstly, a Bayesian compressive sensing Kalman filter is developed, which accounts for the predicted estimated signals rather than using the traditional sparse prior. The posterior probability density function of the received source signals and the expression for the related marginal likelihood function are derived","authors_text":"Fran\\c{c}ois Septier, Lyudmila Mihaylova, Matthew Hawes, Simon Godsill","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-02-13T19:06:28Z","title":"Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.03950","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:cc6a9c23346927f6f5044f4fef1ad5f0a0d41fb0ddc0405976dd52195623789d","target":"record","created_at":"2026-05-18T00:50:51Z","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":"ad31f873666567f2f4da74ae59d7a8b02eda9a8e9d5e791e7f7ebd0105e725f7","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2017-02-13T19:06:28Z","title_canon_sha256":"a9081c04f701a6d99cae8fccea2e1ce3f352bb7b1fbbca44c367d6835649937f"},"schema_version":"1.0","source":{"id":"1702.03950","kind":"arxiv","version":1}},"canonical_sha256":"7956022861a4af99850ef6ca4b88e9cc19dbc4a74e3ca1f26d67386f208def7a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7956022861a4af99850ef6ca4b88e9cc19dbc4a74e3ca1f26d67386f208def7a","first_computed_at":"2026-05-18T00:50:51.538498Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:50:51.538498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1PGPxr69bRxtY8YThg/TCEHOOZyu1kmhPWR313ZtAx4DhU4/YC1lm/bEFBcJs/aNbm0ywaz1K+nMARv30YwmBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:50:51.539000Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.03950","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc6a9c23346927f6f5044f4fef1ad5f0a0d41fb0ddc0405976dd52195623789d","sha256:3e18ae55cbd40829f8f6a046e6d0515fa55fbf4c276d7cd8f6b43a875e2f27a6"],"state_sha256":"271b39fa6d2f5551005b76864065d0c47bee27c2dbec7dc9af76aefb4e8c948f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QSc7eQ+MUw/nh+XHozNljc5NxggIB0MRs6W28K0XDWPgeoA5xUb2b36qFi3asWcO57G8P1feTWco/hdCsYOICg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T21:03:18.648741Z","bundle_sha256":"6e55f7fb46dbe7454a36870ea527a17aeba9e8ad735551117762d092031fbb66"}}