{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:FCDHJMCOA3PJAIU6S3TAEFW5CU","short_pith_number":"pith:FCDHJMCO","canonical_record":{"source":{"id":"1511.02407","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-07T22:05:12Z","cross_cats_sorted":[],"title_canon_sha256":"dafcc963a9eec3e3fb70041bce4e937bf979c2f9f88142119ea4bf85920557e8","abstract_canon_sha256":"9a64444328ca2073b9bab5fbd13e0acfceba46631d04b15b26325af5a1b19637"},"schema_version":"1.0"},"canonical_sha256":"288674b04e06de90229e96e60216dd153c23a785fb1637b763ca47d54a72182b","source":{"kind":"arxiv","id":"1511.02407","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.02407","created_at":"2026-05-18T01:01:34Z"},{"alias_kind":"arxiv_version","alias_value":"1511.02407v2","created_at":"2026-05-18T01:01:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.02407","created_at":"2026-05-18T01:01:34Z"},{"alias_kind":"pith_short_12","alias_value":"FCDHJMCOA3PJ","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_16","alias_value":"FCDHJMCOA3PJAIU6","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_8","alias_value":"FCDHJMCO","created_at":"2026-05-18T12:29:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:FCDHJMCOA3PJAIU6S3TAEFW5CU","target":"record","payload":{"canonical_record":{"source":{"id":"1511.02407","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-07T22:05:12Z","cross_cats_sorted":[],"title_canon_sha256":"dafcc963a9eec3e3fb70041bce4e937bf979c2f9f88142119ea4bf85920557e8","abstract_canon_sha256":"9a64444328ca2073b9bab5fbd13e0acfceba46631d04b15b26325af5a1b19637"},"schema_version":"1.0"},"canonical_sha256":"288674b04e06de90229e96e60216dd153c23a785fb1637b763ca47d54a72182b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:01:34.604504Z","signature_b64":"6naaXyqLUq83GLWw64igGxiScjuAPgtoP0WQEkEa4MXaZjxTzmQEdJ4JlZWwflfHYw2k99alN/RV77NZM6O7Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"288674b04e06de90229e96e60216dd153c23a785fb1637b763ca47d54a72182b","last_reissued_at":"2026-05-18T01:01:34.604025Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:01:34.604025Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1511.02407","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:01:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YYqfzV4baVbPquQvZYT8jxDA3fJ1kodbRjBvSezNOY0YMelA34pVmR8d0cBkXxPB2svEeRQIxwuvGTzcSifsCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T01:04:02.547954Z"},"content_sha256":"5b32ce34a0c15b6e1487b52e64092c98088cc17a4c133aa9db17f64b8a32dc13","schema_version":"1.0","event_id":"sha256:5b32ce34a0c15b6e1487b52e64092c98088cc17a4c133aa9db17f64b8a32dc13"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:FCDHJMCOA3PJAIU6S3TAEFW5CU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey of the Trends in Facial and Expression Recognition Databases and Methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Michelle Emmons, Sohini Roychowdhury","submitted_at":"2015-11-07T22:05:12Z","abstract_excerpt":"Automated facial identification and facial expression recognition have been topics of active research over the past few decades. Facial and expression recognition find applications in human-computer interfaces, subject tracking, real-time security surveillance systems and social networking. Several holistic and geometric methods have been developed to identify faces and expressions using public and local facial image databases. In this work we present the evolution in facial image data sets and the methodologies for facial identification and recognition of expressions such as anger, sadness, h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.02407","kind":"arxiv","version":2},"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":"2026-05-18T01:01:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SWa5pPl5uCMwUI6qTD1UGlynA1aOBaSq5OmRA0kPGmaluGU/IcU8dP7ak7mDwHtBwP8faUfgoxbRgU+Ts2oqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T01:04:02.548305Z"},"content_sha256":"55cf95285da8a781859c44c5070ab97c1533f32246e34a1c275becc7d107e72b","schema_version":"1.0","event_id":"sha256:55cf95285da8a781859c44c5070ab97c1533f32246e34a1c275becc7d107e72b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FCDHJMCOA3PJAIU6S3TAEFW5CU/bundle.json","state_url":"https://pith.science/pith/FCDHJMCOA3PJAIU6S3TAEFW5CU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FCDHJMCOA3PJAIU6S3TAEFW5CU/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":"2026-07-02T01:04:02Z","links":{"resolver":"https://pith.science/pith/FCDHJMCOA3PJAIU6S3TAEFW5CU","bundle":"https://pith.science/pith/FCDHJMCOA3PJAIU6S3TAEFW5CU/bundle.json","state":"https://pith.science/pith/FCDHJMCOA3PJAIU6S3TAEFW5CU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FCDHJMCOA3PJAIU6S3TAEFW5CU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:FCDHJMCOA3PJAIU6S3TAEFW5CU","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":"9a64444328ca2073b9bab5fbd13e0acfceba46631d04b15b26325af5a1b19637","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-07T22:05:12Z","title_canon_sha256":"dafcc963a9eec3e3fb70041bce4e937bf979c2f9f88142119ea4bf85920557e8"},"schema_version":"1.0","source":{"id":"1511.02407","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.02407","created_at":"2026-05-18T01:01:34Z"},{"alias_kind":"arxiv_version","alias_value":"1511.02407v2","created_at":"2026-05-18T01:01:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.02407","created_at":"2026-05-18T01:01:34Z"},{"alias_kind":"pith_short_12","alias_value":"FCDHJMCOA3PJ","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_16","alias_value":"FCDHJMCOA3PJAIU6","created_at":"2026-05-18T12:29:19Z"},{"alias_kind":"pith_short_8","alias_value":"FCDHJMCO","created_at":"2026-05-18T12:29:19Z"}],"graph_snapshots":[{"event_id":"sha256:55cf95285da8a781859c44c5070ab97c1533f32246e34a1c275becc7d107e72b","target":"graph","created_at":"2026-05-18T01:01:34Z","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":"Automated facial identification and facial expression recognition have been topics of active research over the past few decades. Facial and expression recognition find applications in human-computer interfaces, subject tracking, real-time security surveillance systems and social networking. Several holistic and geometric methods have been developed to identify faces and expressions using public and local facial image databases. In this work we present the evolution in facial image data sets and the methodologies for facial identification and recognition of expressions such as anger, sadness, h","authors_text":"Michelle Emmons, Sohini Roychowdhury","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-07T22:05:12Z","title":"A Survey of the Trends in Facial and Expression Recognition Databases and Methods"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.02407","kind":"arxiv","version":2},"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":"sha256:5b32ce34a0c15b6e1487b52e64092c98088cc17a4c133aa9db17f64b8a32dc13","target":"record","created_at":"2026-05-18T01:01:34Z","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":"9a64444328ca2073b9bab5fbd13e0acfceba46631d04b15b26325af5a1b19637","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-11-07T22:05:12Z","title_canon_sha256":"dafcc963a9eec3e3fb70041bce4e937bf979c2f9f88142119ea4bf85920557e8"},"schema_version":"1.0","source":{"id":"1511.02407","kind":"arxiv","version":2}},"canonical_sha256":"288674b04e06de90229e96e60216dd153c23a785fb1637b763ca47d54a72182b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"288674b04e06de90229e96e60216dd153c23a785fb1637b763ca47d54a72182b","first_computed_at":"2026-05-18T01:01:34.604025Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:01:34.604025Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6naaXyqLUq83GLWw64igGxiScjuAPgtoP0WQEkEa4MXaZjxTzmQEdJ4JlZWwflfHYw2k99alN/RV77NZM6O7Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:01:34.604504Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.02407","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5b32ce34a0c15b6e1487b52e64092c98088cc17a4c133aa9db17f64b8a32dc13","sha256:55cf95285da8a781859c44c5070ab97c1533f32246e34a1c275becc7d107e72b"],"state_sha256":"dbc6c4987fcc6de0523fd2baa0d836a436d2ce9ce781a63ee4fe96a03036ef55"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3RPdK5y1GfzczfnPUSw9iqd54uR1S/rd5VJLBwLa4a0SR3nO35SjXt3/drdeGa9S+J3Wt+1lvaL6h7EBHcHLCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T01:04:02.550297Z","bundle_sha256":"1109a045a5c4106fbf92440ade9af622ea31537431704757c1c8ec80d728b551"}}