{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:YZVURTCFCO4Q54PIV6MVC3JEXS","short_pith_number":"pith:YZVURTCF","canonical_record":{"source":{"id":"1707.07299","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-23T14:01:22Z","cross_cats_sorted":[],"title_canon_sha256":"d08925b1106e6a76e1b28d4bb3740be021b518b91f186b69f388edcc93f14cbd","abstract_canon_sha256":"ad3d2c7bad6f3c836654739ba8f497bb648b78f430053381b55e66d55c5e83ee"},"schema_version":"1.0"},"canonical_sha256":"c66b48cc4513b90ef1e8af99516d24bc82c7941cd30ef13e14e6a1a28a727d46","source":{"kind":"arxiv","id":"1707.07299","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.07299","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"arxiv_version","alias_value":"1707.07299v1","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.07299","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"pith_short_12","alias_value":"YZVURTCFCO4Q","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"YZVURTCFCO4Q54PI","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"YZVURTCF","created_at":"2026-05-18T12:31:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:YZVURTCFCO4Q54PIV6MVC3JEXS","target":"record","payload":{"canonical_record":{"source":{"id":"1707.07299","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-23T14:01:22Z","cross_cats_sorted":[],"title_canon_sha256":"d08925b1106e6a76e1b28d4bb3740be021b518b91f186b69f388edcc93f14cbd","abstract_canon_sha256":"ad3d2c7bad6f3c836654739ba8f497bb648b78f430053381b55e66d55c5e83ee"},"schema_version":"1.0"},"canonical_sha256":"c66b48cc4513b90ef1e8af99516d24bc82c7941cd30ef13e14e6a1a28a727d46","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:42.617644Z","signature_b64":"tackHQslXRbIvIkcJ7I5qblSPHSVLzk8J4Zd/JW2CEHIDS1fETj70xBm8rKo0j8ETQMwIpFg9wYW2KvE6n2+Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c66b48cc4513b90ef1e8af99516d24bc82c7941cd30ef13e14e6a1a28a727d46","last_reissued_at":"2026-05-18T00:39:42.616851Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:42.616851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.07299","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":"2026-05-18T00:39:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YEjsTtH44VjXKz6JUgIIA5/JmmLrrQg5bGNj9MRrSEdFISwH8z0/j48CKjQOreB7otkhF5BNXGhb/SAP5l3nAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T18:31:15.395905Z"},"content_sha256":"4e2dceffe46ebc5807809c0a0d17c414c0c8ef1e5faaa179e6689452d4120427","schema_version":"1.0","event_id":"sha256:4e2dceffe46ebc5807809c0a0d17c414c0c8ef1e5faaa179e6689452d4120427"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:YZVURTCFCO4Q54PIV6MVC3JEXS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Joint DOA Estimation and Array Calibration Using Multiple Parametric Dictionary Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"E. Yazdian, H. Ghanbari, H. Zayyani","submitted_at":"2017-07-23T14:01:22Z","abstract_excerpt":"This letter proposes a multiple parametric dictionary learning algorithm for direction of arrival (DOA) estimation in presence of array gain-phase error and mutual coupling. It jointly solves both the DOA estimation and array imperfection problems to yield a robust DOA estimation in presence of array imperfection errors and off-grid. In the proposed method, a multiple parametric dictionary learning-based algorithm with an steepest-descent iteration is used for learning the parametric perturbation matrices and the steering matrix simultaneously. It also exploits the multiple snapshots informati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.07299","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":"2026-05-18T00:39:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sPSvGE+RALzSlw9JeEZM9cXN5Sq4GeTyHjIbEiwy4ZuB2hm4lmb8DSHyARl4Bq7ysGARZkkzavtVOoqNCV8HDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T18:31:15.396253Z"},"content_sha256":"6c3244af6830303da62d4d91c2e97cb017d1885342dfaeb341197bb3dfb4c7eb","schema_version":"1.0","event_id":"sha256:6c3244af6830303da62d4d91c2e97cb017d1885342dfaeb341197bb3dfb4c7eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YZVURTCFCO4Q54PIV6MVC3JEXS/bundle.json","state_url":"https://pith.science/pith/YZVURTCFCO4Q54PIV6MVC3JEXS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YZVURTCFCO4Q54PIV6MVC3JEXS/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":"2026-06-05T18:31:15Z","links":{"resolver":"https://pith.science/pith/YZVURTCFCO4Q54PIV6MVC3JEXS","bundle":"https://pith.science/pith/YZVURTCFCO4Q54PIV6MVC3JEXS/bundle.json","state":"https://pith.science/pith/YZVURTCFCO4Q54PIV6MVC3JEXS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YZVURTCFCO4Q54PIV6MVC3JEXS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:YZVURTCFCO4Q54PIV6MVC3JEXS","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":"ad3d2c7bad6f3c836654739ba8f497bb648b78f430053381b55e66d55c5e83ee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-23T14:01:22Z","title_canon_sha256":"d08925b1106e6a76e1b28d4bb3740be021b518b91f186b69f388edcc93f14cbd"},"schema_version":"1.0","source":{"id":"1707.07299","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.07299","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"arxiv_version","alias_value":"1707.07299v1","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.07299","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"pith_short_12","alias_value":"YZVURTCFCO4Q","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"YZVURTCFCO4Q54PI","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"YZVURTCF","created_at":"2026-05-18T12:31:59Z"}],"graph_snapshots":[{"event_id":"sha256:6c3244af6830303da62d4d91c2e97cb017d1885342dfaeb341197bb3dfb4c7eb","target":"graph","created_at":"2026-05-18T00:39:42Z","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":"This letter proposes a multiple parametric dictionary learning algorithm for direction of arrival (DOA) estimation in presence of array gain-phase error and mutual coupling. It jointly solves both the DOA estimation and array imperfection problems to yield a robust DOA estimation in presence of array imperfection errors and off-grid. In the proposed method, a multiple parametric dictionary learning-based algorithm with an steepest-descent iteration is used for learning the parametric perturbation matrices and the steering matrix simultaneously. It also exploits the multiple snapshots informati","authors_text":"E. Yazdian, H. Ghanbari, H. Zayyani","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-23T14:01:22Z","title":"Joint DOA Estimation and Array Calibration Using Multiple Parametric Dictionary Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.07299","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":"sha256:4e2dceffe46ebc5807809c0a0d17c414c0c8ef1e5faaa179e6689452d4120427","target":"record","created_at":"2026-05-18T00:39:42Z","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":"ad3d2c7bad6f3c836654739ba8f497bb648b78f430053381b55e66d55c5e83ee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-07-23T14:01:22Z","title_canon_sha256":"d08925b1106e6a76e1b28d4bb3740be021b518b91f186b69f388edcc93f14cbd"},"schema_version":"1.0","source":{"id":"1707.07299","kind":"arxiv","version":1}},"canonical_sha256":"c66b48cc4513b90ef1e8af99516d24bc82c7941cd30ef13e14e6a1a28a727d46","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c66b48cc4513b90ef1e8af99516d24bc82c7941cd30ef13e14e6a1a28a727d46","first_computed_at":"2026-05-18T00:39:42.616851Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:39:42.616851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tackHQslXRbIvIkcJ7I5qblSPHSVLzk8J4Zd/JW2CEHIDS1fETj70xBm8rKo0j8ETQMwIpFg9wYW2KvE6n2+Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:39:42.617644Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.07299","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4e2dceffe46ebc5807809c0a0d17c414c0c8ef1e5faaa179e6689452d4120427","sha256:6c3244af6830303da62d4d91c2e97cb017d1885342dfaeb341197bb3dfb4c7eb"],"state_sha256":"c54888baadd984e72e0f9c87d009f0990bef2018bdc52c49dc119a2218bd80d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qKgxcFw92tWHfHqNOplK77p6ReRDLlqPeEJIgU1SKPPyKrYITWqoScpCc4K8QfcMs6e5SIh97Q9FpRQmGgNADQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T18:31:15.400053Z","bundle_sha256":"f061b5e5aef12ae53230a7859282a48ea8037d86ebcf6ca9542b5410e141a6eb"}}