{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:BWIP3RLB3GBEZYRSSFCO6F2T7D","short_pith_number":"pith:BWIP3RLB","canonical_record":{"source":{"id":"1703.04853","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-15T00:38:01Z","cross_cats_sorted":[],"title_canon_sha256":"0496c8319807562c75f7a5ef806f44e4737a8db83c084408167c93f2a1f8f151","abstract_canon_sha256":"7168b357a5b03072d7699329ddcdc5feb32c63848d292f82cb6c4f22699d154b"},"schema_version":"1.0"},"canonical_sha256":"0d90fdc561d9824ce2329144ef1753f8f7501966d1181e8ef06ddbeb1278315a","source":{"kind":"arxiv","id":"1703.04853","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04853","created_at":"2026-05-18T00:48:39Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04853v1","created_at":"2026-05-18T00:48:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04853","created_at":"2026-05-18T00:48:39Z"},{"alias_kind":"pith_short_12","alias_value":"BWIP3RLB3GBE","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BWIP3RLB3GBEZYRS","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BWIP3RLB","created_at":"2026-05-18T12:31:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:BWIP3RLB3GBEZYRSSFCO6F2T7D","target":"record","payload":{"canonical_record":{"source":{"id":"1703.04853","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-15T00:38:01Z","cross_cats_sorted":[],"title_canon_sha256":"0496c8319807562c75f7a5ef806f44e4737a8db83c084408167c93f2a1f8f151","abstract_canon_sha256":"7168b357a5b03072d7699329ddcdc5feb32c63848d292f82cb6c4f22699d154b"},"schema_version":"1.0"},"canonical_sha256":"0d90fdc561d9824ce2329144ef1753f8f7501966d1181e8ef06ddbeb1278315a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:48:39.095838Z","signature_b64":"zCvCr0+F1LVdYC4E+TBwnELsHyb0mzew745h6mrsIoil6rdd4BH9nfk02eUMKbTw5p02Z4j23YRg8HVljU9zAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d90fdc561d9824ce2329144ef1753f8f7501966d1181e8ef06ddbeb1278315a","last_reissued_at":"2026-05-18T00:48:39.095439Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:48:39.095439Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.04853","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":"2026-05-18T00:48:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qrFPoj0lRHWL1KB5xaFyQBF8uT0dwZldLQzIsdzdiNqfiGc23+vSf5QhJwlMHgUFYv80iBqMO8sZ99no88UIAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T22:55:51.139900Z"},"content_sha256":"96050f8edfd5208eed38abb46e7d6bbeff79c61e7faaacd7b375da5c8e2c83dd","schema_version":"1.0","event_id":"sha256:96050f8edfd5208eed38abb46e7d6bbeff79c61e7faaacd7b375da5c8e2c83dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:BWIP3RLB3GBEZYRSSFCO6F2T7D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Face Recognition using Multi-Modal Low-Rank Dictionary Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Homa Foroughi, Hong Zhang, Moein Shakeri, Nilanjan Ray","submitted_at":"2017-03-15T00:38:01Z","abstract_excerpt":"Face recognition has been widely studied due to its importance in different applications; however, most of the proposed methods fail when face images are occluded or captured under illumination and pose variations. Recently several low-rank dictionary learning methods have been proposed and achieved promising results for noisy observations. While these methods are mostly developed for single-modality scenarios, recent studies demonstrated the advantages of feature fusion from multiple inputs. We propose a multi-modal structured low-rank dictionary learning method for robust face recognition, u"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04853","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":"2026-05-18T00:48:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O6tPSNJycpVJWl2UHRhA7W8MrlieftM70ai3QSO/L9RPoewB8Vh44tDSjaBsbA9CKu4sfM7sI7dpqVeug8fRAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T22:55:51.140252Z"},"content_sha256":"7850ac255974214ee124c4f0ff1d33db39453bab7ba28d44472a1904177a4120","schema_version":"1.0","event_id":"sha256:7850ac255974214ee124c4f0ff1d33db39453bab7ba28d44472a1904177a4120"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BWIP3RLB3GBEZYRSSFCO6F2T7D/bundle.json","state_url":"https://pith.science/pith/BWIP3RLB3GBEZYRSSFCO6F2T7D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BWIP3RLB3GBEZYRSSFCO6F2T7D/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":"2026-06-03T22:55:51Z","links":{"resolver":"https://pith.science/pith/BWIP3RLB3GBEZYRSSFCO6F2T7D","bundle":"https://pith.science/pith/BWIP3RLB3GBEZYRSSFCO6F2T7D/bundle.json","state":"https://pith.science/pith/BWIP3RLB3GBEZYRSSFCO6F2T7D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BWIP3RLB3GBEZYRSSFCO6F2T7D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:BWIP3RLB3GBEZYRSSFCO6F2T7D","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":"7168b357a5b03072d7699329ddcdc5feb32c63848d292f82cb6c4f22699d154b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-15T00:38:01Z","title_canon_sha256":"0496c8319807562c75f7a5ef806f44e4737a8db83c084408167c93f2a1f8f151"},"schema_version":"1.0","source":{"id":"1703.04853","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04853","created_at":"2026-05-18T00:48:39Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04853v1","created_at":"2026-05-18T00:48:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04853","created_at":"2026-05-18T00:48:39Z"},{"alias_kind":"pith_short_12","alias_value":"BWIP3RLB3GBE","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BWIP3RLB3GBEZYRS","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BWIP3RLB","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:7850ac255974214ee124c4f0ff1d33db39453bab7ba28d44472a1904177a4120","target":"graph","created_at":"2026-05-18T00:48:39Z","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":"Face recognition has been widely studied due to its importance in different applications; however, most of the proposed methods fail when face images are occluded or captured under illumination and pose variations. Recently several low-rank dictionary learning methods have been proposed and achieved promising results for noisy observations. While these methods are mostly developed for single-modality scenarios, recent studies demonstrated the advantages of feature fusion from multiple inputs. We propose a multi-modal structured low-rank dictionary learning method for robust face recognition, u","authors_text":"Homa Foroughi, Hong Zhang, Moein Shakeri, Nilanjan Ray","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-15T00:38:01Z","title":"Face Recognition using Multi-Modal Low-Rank Dictionary Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04853","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":"sha256:96050f8edfd5208eed38abb46e7d6bbeff79c61e7faaacd7b375da5c8e2c83dd","target":"record","created_at":"2026-05-18T00:48:39Z","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":"7168b357a5b03072d7699329ddcdc5feb32c63848d292f82cb6c4f22699d154b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-15T00:38:01Z","title_canon_sha256":"0496c8319807562c75f7a5ef806f44e4737a8db83c084408167c93f2a1f8f151"},"schema_version":"1.0","source":{"id":"1703.04853","kind":"arxiv","version":1}},"canonical_sha256":"0d90fdc561d9824ce2329144ef1753f8f7501966d1181e8ef06ddbeb1278315a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d90fdc561d9824ce2329144ef1753f8f7501966d1181e8ef06ddbeb1278315a","first_computed_at":"2026-05-18T00:48:39.095439Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:48:39.095439Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zCvCr0+F1LVdYC4E+TBwnELsHyb0mzew745h6mrsIoil6rdd4BH9nfk02eUMKbTw5p02Z4j23YRg8HVljU9zAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:48:39.095838Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.04853","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96050f8edfd5208eed38abb46e7d6bbeff79c61e7faaacd7b375da5c8e2c83dd","sha256:7850ac255974214ee124c4f0ff1d33db39453bab7ba28d44472a1904177a4120"],"state_sha256":"b727ee63777ae9de22a7f7568d9f929b586a663390042e2338a38429bfdff4f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"naA7PAvaYjZfC2InDVceK1RRKftJvzfZ9iJQ9eGYoX1WCKcjrzLiN96I39ZT3LoRKbGqU01XiqyHxrS0JBNZCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T22:55:51.142340Z","bundle_sha256":"6f324df53c236d9ef3f270f5a41bfc6b6309ff83625603f93300c70600a95b11"}}