{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:NYQUSPE2CEGDWSZF6F5QZN7JSA","short_pith_number":"pith:NYQUSPE2","canonical_record":{"source":{"id":"1711.06451","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T08:16:55Z","cross_cats_sorted":[],"title_canon_sha256":"0634c9a5cc2afc7beca2a081c1d2389795f9fd6849075eaef286d250b685a168","abstract_canon_sha256":"2405bbbccd25816e4dfb273f2d2ac458c3cfb24cd58a95a119cc9d7845ca21dc"},"schema_version":"1.0"},"canonical_sha256":"6e21493c9a110c3b4b25f17b0cb7e9903a189629cc0df176a682401fc6c93af4","source":{"kind":"arxiv","id":"1711.06451","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.06451","created_at":"2026-05-17T23:50:38Z"},{"alias_kind":"arxiv_version","alias_value":"1711.06451v1","created_at":"2026-05-17T23:50:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.06451","created_at":"2026-05-17T23:50:38Z"},{"alias_kind":"pith_short_12","alias_value":"NYQUSPE2CEGD","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"NYQUSPE2CEGDWSZF","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"NYQUSPE2","created_at":"2026-05-18T12:31:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:NYQUSPE2CEGDWSZF6F5QZN7JSA","target":"record","payload":{"canonical_record":{"source":{"id":"1711.06451","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T08:16:55Z","cross_cats_sorted":[],"title_canon_sha256":"0634c9a5cc2afc7beca2a081c1d2389795f9fd6849075eaef286d250b685a168","abstract_canon_sha256":"2405bbbccd25816e4dfb273f2d2ac458c3cfb24cd58a95a119cc9d7845ca21dc"},"schema_version":"1.0"},"canonical_sha256":"6e21493c9a110c3b4b25f17b0cb7e9903a189629cc0df176a682401fc6c93af4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:38.807871Z","signature_b64":"z91Ej3MS51ePXYWxCtKpdsMjL56mAESigub0P6/kAnuCTEwGzaE5k8zrJdR+KAXaMCmOe21E6tCVtY8wNloUDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e21493c9a110c3b4b25f17b0cb7e9903a189629cc0df176a682401fc6c93af4","last_reissued_at":"2026-05-17T23:50:38.807417Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:38.807417Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.06451","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":"2026-05-17T23:50:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Ms0dRqz453kGXS+tjbANq5uL+RSTEXpm12kNgcttqJeZETR87giHLDZv+7jpOPo9wmKpYtECr7DQOw7hE86CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T09:41:19.417810Z"},"content_sha256":"fdd04f1c7085923e8f8e7606943f87485c1f0f78007969839efcced2e732dd67","schema_version":"1.0","event_id":"sha256:fdd04f1c7085923e8f8e7606943f87485c1f0f78007969839efcced2e732dd67"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:NYQUSPE2CEGDWSZF6F5QZN7JSA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Fusion-based Gender Recognition Method Using Facial Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Benyamin Ghojogh, Ensieh Iranmehr, Hoda Mohammadzade, Saeed Bagheri Shouraki","submitted_at":"2017-11-17T08:16:55Z","abstract_excerpt":"This paper proposes a fusion-based gender recognition method which uses facial images as input. Firstly, this paper utilizes pre-processing and a landmark detection method in order to find the important landmarks of faces. Thereafter, four different frameworks are proposed which are inspired by state-of-the-art gender recognition systems. The first framework extracts features using Local Binary Pattern (LBP) and Principal Component Analysis (PCA) and uses back propagation neural network. The second framework uses Gabor filters, PCA, and kernel Support Vector Machine (SVM). The third framework "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.06451","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":"2026-05-17T23:50:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rcApQCH5jWXpsENzWi/faSbOExO7PlVDfTEsVsRUtpr2Q+ZQcDYRtKAxRGPyoRdCI0QM6shJ9zqIRSpNCvV3Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T09:41:19.418420Z"},"content_sha256":"5451ebb36d76d6799e1e9979b160ceb07f7d8782d26f4e02ef52212b5c45e7c2","schema_version":"1.0","event_id":"sha256:5451ebb36d76d6799e1e9979b160ceb07f7d8782d26f4e02ef52212b5c45e7c2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NYQUSPE2CEGDWSZF6F5QZN7JSA/bundle.json","state_url":"https://pith.science/pith/NYQUSPE2CEGDWSZF6F5QZN7JSA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NYQUSPE2CEGDWSZF6F5QZN7JSA/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":"2026-05-26T09:41:19Z","links":{"resolver":"https://pith.science/pith/NYQUSPE2CEGDWSZF6F5QZN7JSA","bundle":"https://pith.science/pith/NYQUSPE2CEGDWSZF6F5QZN7JSA/bundle.json","state":"https://pith.science/pith/NYQUSPE2CEGDWSZF6F5QZN7JSA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NYQUSPE2CEGDWSZF6F5QZN7JSA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:NYQUSPE2CEGDWSZF6F5QZN7JSA","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":"2405bbbccd25816e4dfb273f2d2ac458c3cfb24cd58a95a119cc9d7845ca21dc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T08:16:55Z","title_canon_sha256":"0634c9a5cc2afc7beca2a081c1d2389795f9fd6849075eaef286d250b685a168"},"schema_version":"1.0","source":{"id":"1711.06451","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.06451","created_at":"2026-05-17T23:50:38Z"},{"alias_kind":"arxiv_version","alias_value":"1711.06451v1","created_at":"2026-05-17T23:50:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.06451","created_at":"2026-05-17T23:50:38Z"},{"alias_kind":"pith_short_12","alias_value":"NYQUSPE2CEGD","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"NYQUSPE2CEGDWSZF","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"NYQUSPE2","created_at":"2026-05-18T12:31:34Z"}],"graph_snapshots":[{"event_id":"sha256:5451ebb36d76d6799e1e9979b160ceb07f7d8782d26f4e02ef52212b5c45e7c2","target":"graph","created_at":"2026-05-17T23:50:38Z","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 paper proposes a fusion-based gender recognition method which uses facial images as input. Firstly, this paper utilizes pre-processing and a landmark detection method in order to find the important landmarks of faces. Thereafter, four different frameworks are proposed which are inspired by state-of-the-art gender recognition systems. The first framework extracts features using Local Binary Pattern (LBP) and Principal Component Analysis (PCA) and uses back propagation neural network. The second framework uses Gabor filters, PCA, and kernel Support Vector Machine (SVM). The third framework ","authors_text":"Benyamin Ghojogh, Ensieh Iranmehr, Hoda Mohammadzade, Saeed Bagheri Shouraki","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T08:16:55Z","title":"A Fusion-based Gender Recognition Method Using Facial Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.06451","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:fdd04f1c7085923e8f8e7606943f87485c1f0f78007969839efcced2e732dd67","target":"record","created_at":"2026-05-17T23:50:38Z","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":"2405bbbccd25816e4dfb273f2d2ac458c3cfb24cd58a95a119cc9d7845ca21dc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-17T08:16:55Z","title_canon_sha256":"0634c9a5cc2afc7beca2a081c1d2389795f9fd6849075eaef286d250b685a168"},"schema_version":"1.0","source":{"id":"1711.06451","kind":"arxiv","version":1}},"canonical_sha256":"6e21493c9a110c3b4b25f17b0cb7e9903a189629cc0df176a682401fc6c93af4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6e21493c9a110c3b4b25f17b0cb7e9903a189629cc0df176a682401fc6c93af4","first_computed_at":"2026-05-17T23:50:38.807417Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:50:38.807417Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z91Ej3MS51ePXYWxCtKpdsMjL56mAESigub0P6/kAnuCTEwGzaE5k8zrJdR+KAXaMCmOe21E6tCVtY8wNloUDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:50:38.807871Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.06451","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fdd04f1c7085923e8f8e7606943f87485c1f0f78007969839efcced2e732dd67","sha256:5451ebb36d76d6799e1e9979b160ceb07f7d8782d26f4e02ef52212b5c45e7c2"],"state_sha256":"087e0c476c0f27dd2e223ef39183f2f00ea98772291e8c25e947346a9f31a63f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zo7Oqlc4asKWMVjBDQrEuHJZvOn20VgqfmCyVre+ejhawh0dIzVUTriKPnRuwxyGBXtQS/YY6U81SX/nSJdFBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T09:41:19.422452Z","bundle_sha256":"7e5cd39e3e057ae66088f7f47bd2f22b9f2df77e5dc36a88daf8caaa322429ce"}}