{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:SAU3IOT3DJREV7OBUA4DSU5O2J","short_pith_number":"pith:SAU3IOT3","canonical_record":{"source":{"id":"1805.10078","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-25T10:59:16Z","cross_cats_sorted":[],"title_canon_sha256":"0b90d28eb7cf042f91066d870c60840d568469c3ff6afa49a5751a28e5851d92","abstract_canon_sha256":"b6258cc24e13ed2fb9f3950245f24312e69a47d18de273c498b82bc691f5bbc0"},"schema_version":"1.0"},"canonical_sha256":"9029b43a7b1a624afdc1a0383953aed2664a57c83b6872630197567051064620","source":{"kind":"arxiv","id":"1805.10078","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.10078","created_at":"2026-05-17T23:47:48Z"},{"alias_kind":"arxiv_version","alias_value":"1805.10078v3","created_at":"2026-05-17T23:47:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.10078","created_at":"2026-05-17T23:47:48Z"},{"alias_kind":"pith_short_12","alias_value":"SAU3IOT3DJRE","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"SAU3IOT3DJREV7OB","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"SAU3IOT3","created_at":"2026-05-18T12:32:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:SAU3IOT3DJREV7OBUA4DSU5O2J","target":"record","payload":{"canonical_record":{"source":{"id":"1805.10078","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-25T10:59:16Z","cross_cats_sorted":[],"title_canon_sha256":"0b90d28eb7cf042f91066d870c60840d568469c3ff6afa49a5751a28e5851d92","abstract_canon_sha256":"b6258cc24e13ed2fb9f3950245f24312e69a47d18de273c498b82bc691f5bbc0"},"schema_version":"1.0"},"canonical_sha256":"9029b43a7b1a624afdc1a0383953aed2664a57c83b6872630197567051064620","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:48.997475Z","signature_b64":"54Q5HeiYQAy69DphzeCxFkVNnzzWQwNhlNVjIPZ20eOVS0ReH1hi7lRj79EvVQ5gAWF1ktLFvOACBa393swYAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9029b43a7b1a624afdc1a0383953aed2664a57c83b6872630197567051064620","last_reissued_at":"2026-05-17T23:47:48.996875Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:48.996875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.10078","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:47:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qsScWNoJ5/psRduFGduuv0ychSgQL33KlybyNYQTEgOQpZ8DAa14e922DfIS766swNVcFCAODzt6Ywhd5dFqCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T11:16:48.541092Z"},"content_sha256":"62c8746f887c1eb4f1a85b112d76ceb90c57a17f0af3179ec5731fcdf5287ea9","schema_version":"1.0","event_id":"sha256:62c8746f887c1eb4f1a85b112d76ceb90c57a17f0af3179ec5731fcdf5287ea9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:SAU3IOT3DJREV7OBUA4DSU5O2J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Double-Deep Spatio-Angular Learning Framework for Light Field based Face Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alireza Sepas-Moghaddam, Fernando Pereira, Kamal Nasrollahi, Mohammad A. Haque, Paulo Lobato Correia, Thomas B. Moeslund","submitted_at":"2018-05-25T10:59:16Z","abstract_excerpt":"Face recognition has attracted increasing attention due to its wide range of applications, but it is still challenging when facing large variations in the biometric data characteristics. Lenslet light field cameras have recently come into prominence to capture rich spatio-angular information, thus offering new possibilities for advanced biometric recognition systems. This paper proposes a double-deep spatio-angular learning framework for light field based face recognition, which is able to learn both texture and angular dynamics in sequence using convolutional representations; this is a novel "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.10078","kind":"arxiv","version":3},"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":"2026-05-17T23:47:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dLHPmzmi237yB/McBWXmr+a9lxx8fF6H36IuGpxxxWpIXHg5B6lmEPvB5gtPJadK/qQvtfcpU0M2mX0TqoFDDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T11:16:48.541449Z"},"content_sha256":"0cca695929daa934e9d7d98194ac094aaa20eb32dd7384bc3cfa80a0b34801bb","schema_version":"1.0","event_id":"sha256:0cca695929daa934e9d7d98194ac094aaa20eb32dd7384bc3cfa80a0b34801bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SAU3IOT3DJREV7OBUA4DSU5O2J/bundle.json","state_url":"https://pith.science/pith/SAU3IOT3DJREV7OBUA4DSU5O2J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SAU3IOT3DJREV7OBUA4DSU5O2J/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":"2026-06-26T11:16:48Z","links":{"resolver":"https://pith.science/pith/SAU3IOT3DJREV7OBUA4DSU5O2J","bundle":"https://pith.science/pith/SAU3IOT3DJREV7OBUA4DSU5O2J/bundle.json","state":"https://pith.science/pith/SAU3IOT3DJREV7OBUA4DSU5O2J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SAU3IOT3DJREV7OBUA4DSU5O2J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:SAU3IOT3DJREV7OBUA4DSU5O2J","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":"b6258cc24e13ed2fb9f3950245f24312e69a47d18de273c498b82bc691f5bbc0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-25T10:59:16Z","title_canon_sha256":"0b90d28eb7cf042f91066d870c60840d568469c3ff6afa49a5751a28e5851d92"},"schema_version":"1.0","source":{"id":"1805.10078","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.10078","created_at":"2026-05-17T23:47:48Z"},{"alias_kind":"arxiv_version","alias_value":"1805.10078v3","created_at":"2026-05-17T23:47:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.10078","created_at":"2026-05-17T23:47:48Z"},{"alias_kind":"pith_short_12","alias_value":"SAU3IOT3DJRE","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"SAU3IOT3DJREV7OB","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"SAU3IOT3","created_at":"2026-05-18T12:32:50Z"}],"graph_snapshots":[{"event_id":"sha256:0cca695929daa934e9d7d98194ac094aaa20eb32dd7384bc3cfa80a0b34801bb","target":"graph","created_at":"2026-05-17T23:47:48Z","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 attracted increasing attention due to its wide range of applications, but it is still challenging when facing large variations in the biometric data characteristics. Lenslet light field cameras have recently come into prominence to capture rich spatio-angular information, thus offering new possibilities for advanced biometric recognition systems. This paper proposes a double-deep spatio-angular learning framework for light field based face recognition, which is able to learn both texture and angular dynamics in sequence using convolutional representations; this is a novel ","authors_text":"Alireza Sepas-Moghaddam, Fernando Pereira, Kamal Nasrollahi, Mohammad A. Haque, Paulo Lobato Correia, Thomas B. Moeslund","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-25T10:59:16Z","title":"A Double-Deep Spatio-Angular Learning Framework for Light Field based Face Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.10078","kind":"arxiv","version":3},"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":"sha256:62c8746f887c1eb4f1a85b112d76ceb90c57a17f0af3179ec5731fcdf5287ea9","target":"record","created_at":"2026-05-17T23:47:48Z","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":"b6258cc24e13ed2fb9f3950245f24312e69a47d18de273c498b82bc691f5bbc0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-25T10:59:16Z","title_canon_sha256":"0b90d28eb7cf042f91066d870c60840d568469c3ff6afa49a5751a28e5851d92"},"schema_version":"1.0","source":{"id":"1805.10078","kind":"arxiv","version":3}},"canonical_sha256":"9029b43a7b1a624afdc1a0383953aed2664a57c83b6872630197567051064620","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9029b43a7b1a624afdc1a0383953aed2664a57c83b6872630197567051064620","first_computed_at":"2026-05-17T23:47:48.996875Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:48.996875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"54Q5HeiYQAy69DphzeCxFkVNnzzWQwNhlNVjIPZ20eOVS0ReH1hi7lRj79EvVQ5gAWF1ktLFvOACBa393swYAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:48.997475Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.10078","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62c8746f887c1eb4f1a85b112d76ceb90c57a17f0af3179ec5731fcdf5287ea9","sha256:0cca695929daa934e9d7d98194ac094aaa20eb32dd7384bc3cfa80a0b34801bb"],"state_sha256":"7c7ccc32f1cc567dbc8abfecc5936b6cd19f6dd978f02cd9c8de0393e0e2aac2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Grf9hESQnKq0wVzXUAMVbQZSRTlNEj09nkzPDJ5DzkjQ7LfPsDXk/JLC7yoCXHEIePldTevCdt8bErakd3MuCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T11:16:48.543352Z","bundle_sha256":"e78d8deb3aff7d0d6c7dbba3d1f276f0f7e5017acf643db794686c8e01108c3e"}}