{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:C6UMG4TMKVKYCDWTG7QI6ORBWO","short_pith_number":"pith:C6UMG4TM","canonical_record":{"source":{"id":"1803.09359","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-25T22:32:18Z","cross_cats_sorted":[],"title_canon_sha256":"e86e704e7bc64e4707e793154516a2a8603cebb2b0afb97c192c4715149e060f","abstract_canon_sha256":"f9bfa8f23b5c754cebee1ce3873ed9815ea7b6c6af09192da6b1d37012bf0567"},"schema_version":"1.0"},"canonical_sha256":"17a8c3726c5555810ed337e08f3a21b3ad6f1897dad0ba809c67490c94ba16a6","source":{"kind":"arxiv","id":"1803.09359","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.09359","created_at":"2026-05-18T00:20:11Z"},{"alias_kind":"arxiv_version","alias_value":"1803.09359v1","created_at":"2026-05-18T00:20:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.09359","created_at":"2026-05-18T00:20:11Z"},{"alias_kind":"pith_short_12","alias_value":"C6UMG4TMKVKY","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"C6UMG4TMKVKYCDWT","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"C6UMG4TM","created_at":"2026-05-18T12:32:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:C6UMG4TMKVKYCDWTG7QI6ORBWO","target":"record","payload":{"canonical_record":{"source":{"id":"1803.09359","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-25T22:32:18Z","cross_cats_sorted":[],"title_canon_sha256":"e86e704e7bc64e4707e793154516a2a8603cebb2b0afb97c192c4715149e060f","abstract_canon_sha256":"f9bfa8f23b5c754cebee1ce3873ed9815ea7b6c6af09192da6b1d37012bf0567"},"schema_version":"1.0"},"canonical_sha256":"17a8c3726c5555810ed337e08f3a21b3ad6f1897dad0ba809c67490c94ba16a6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:11.877050Z","signature_b64":"tQWk58/+N81gUlCG8D3ggYQ26OHMqJZKLoYfEyObap8DMoWts0cf1Wo45xzWHg6ClLO//6GSWFfCCuyfgJNiDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"17a8c3726c5555810ed337e08f3a21b3ad6f1897dad0ba809c67490c94ba16a6","last_reissued_at":"2026-05-18T00:20:11.876348Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:11.876348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.09359","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":"2026-05-18T00:20:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y2+XGAvG3QXcWXd8aHXny9u727/y56HLV/QNZFyUrqqeGBhAIv9/SOCmdXj3O6ywWcl8COSwRVZrFghjLb3uDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T03:02:44.236679Z"},"content_sha256":"8f1afd7f01bbbbdb1aaa267ea859168b09f2ab8b8800e0972cd0e1d8279fb0a3","schema_version":"1.0","event_id":"sha256:8f1afd7f01bbbbdb1aaa267ea859168b09f2ab8b8800e0972cd0e1d8279fb0a3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:C6UMG4TMKVKYCDWTG7QI6ORBWO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ioannis A. Kakadiaris, Lingfeng Zhang, Pengfei Dou","submitted_at":"2018-03-25T22:32:18Z","abstract_excerpt":"This paper focuses on improving face recognition performance with a new signature combining implicit facial features with explicit soft facial attributes. This signature has two components: the existing patch-based features and the soft facial attributes. A deep convolutional neural network adapted from state-of-the-art networks is used to learn the soft facial attributes. Then, a signature matcher is introduced that merges the contributions of both patch-based features and the facial attributes. In this matcher, the matching scores computed from patch-based features and the facial attributes "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.09359","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":"2026-05-18T00:20:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oTIjZtTLsaVAYcKKX4MmLcB/tBc5mg5qZYq9BSnFVS5Gdqdhb0HdnmNQS6Hw3dMDTPKYF9jjGhOywKa+XQ8ZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T03:02:44.237061Z"},"content_sha256":"514e03d89fe8c842768290e1b3bc7dcb93d67126a303cf89d9695e9022f1c697","schema_version":"1.0","event_id":"sha256:514e03d89fe8c842768290e1b3bc7dcb93d67126a303cf89d9695e9022f1c697"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C6UMG4TMKVKYCDWTG7QI6ORBWO/bundle.json","state_url":"https://pith.science/pith/C6UMG4TMKVKYCDWTG7QI6ORBWO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C6UMG4TMKVKYCDWTG7QI6ORBWO/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":"2026-06-04T03:02:44Z","links":{"resolver":"https://pith.science/pith/C6UMG4TMKVKYCDWTG7QI6ORBWO","bundle":"https://pith.science/pith/C6UMG4TMKVKYCDWTG7QI6ORBWO/bundle.json","state":"https://pith.science/pith/C6UMG4TMKVKYCDWTG7QI6ORBWO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C6UMG4TMKVKYCDWTG7QI6ORBWO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:C6UMG4TMKVKYCDWTG7QI6ORBWO","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":"f9bfa8f23b5c754cebee1ce3873ed9815ea7b6c6af09192da6b1d37012bf0567","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-25T22:32:18Z","title_canon_sha256":"e86e704e7bc64e4707e793154516a2a8603cebb2b0afb97c192c4715149e060f"},"schema_version":"1.0","source":{"id":"1803.09359","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.09359","created_at":"2026-05-18T00:20:11Z"},{"alias_kind":"arxiv_version","alias_value":"1803.09359v1","created_at":"2026-05-18T00:20:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.09359","created_at":"2026-05-18T00:20:11Z"},{"alias_kind":"pith_short_12","alias_value":"C6UMG4TMKVKY","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"C6UMG4TMKVKYCDWT","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"C6UMG4TM","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:514e03d89fe8c842768290e1b3bc7dcb93d67126a303cf89d9695e9022f1c697","target":"graph","created_at":"2026-05-18T00:20:11Z","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 focuses on improving face recognition performance with a new signature combining implicit facial features with explicit soft facial attributes. This signature has two components: the existing patch-based features and the soft facial attributes. A deep convolutional neural network adapted from state-of-the-art networks is used to learn the soft facial attributes. Then, a signature matcher is introduced that merges the contributions of both patch-based features and the facial attributes. In this matcher, the matching scores computed from patch-based features and the facial attributes ","authors_text":"Ioannis A. Kakadiaris, Lingfeng Zhang, Pengfei Dou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-25T22:32:18Z","title":"A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.09359","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":"sha256:8f1afd7f01bbbbdb1aaa267ea859168b09f2ab8b8800e0972cd0e1d8279fb0a3","target":"record","created_at":"2026-05-18T00:20:11Z","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":"f9bfa8f23b5c754cebee1ce3873ed9815ea7b6c6af09192da6b1d37012bf0567","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-25T22:32:18Z","title_canon_sha256":"e86e704e7bc64e4707e793154516a2a8603cebb2b0afb97c192c4715149e060f"},"schema_version":"1.0","source":{"id":"1803.09359","kind":"arxiv","version":1}},"canonical_sha256":"17a8c3726c5555810ed337e08f3a21b3ad6f1897dad0ba809c67490c94ba16a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"17a8c3726c5555810ed337e08f3a21b3ad6f1897dad0ba809c67490c94ba16a6","first_computed_at":"2026-05-18T00:20:11.876348Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:11.876348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tQWk58/+N81gUlCG8D3ggYQ26OHMqJZKLoYfEyObap8DMoWts0cf1Wo45xzWHg6ClLO//6GSWFfCCuyfgJNiDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:11.877050Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.09359","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8f1afd7f01bbbbdb1aaa267ea859168b09f2ab8b8800e0972cd0e1d8279fb0a3","sha256:514e03d89fe8c842768290e1b3bc7dcb93d67126a303cf89d9695e9022f1c697"],"state_sha256":"d936ede38d28a48205847ee62d8081c02ae85da36b24a18baa66dd1c7484b11b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ntzP99w8sLgrR3m5XaKj/WC5cDHNYQswAtAYJFOVCFkuiMamUw095o7Td/R4/VY2tXmoe3/U+gYpKyyvY3PiCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T03:02:44.240363Z","bundle_sha256":"16442042bf6bb72fef577bc60a5090868128f5c859e87cf532255c512c4599f8"}}