{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:TTOAOSJKHJFUPM34DQHBP5KAP4","short_pith_number":"pith:TTOAOSJK","canonical_record":{"source":{"id":"1606.03237","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-10T09:12:05Z","cross_cats_sorted":[],"title_canon_sha256":"9f3d6372d0d94787a58ffafd74ec6c8cfdd0632c5106e89d0838959fba4a05e8","abstract_canon_sha256":"70c2f560a46c80b103f7241fd3e1c6e7f63cac5a928b5858c827e17c1de0dff1"},"schema_version":"1.0"},"canonical_sha256":"9cdc07492a3a4b47b37c1c0e17f5407f38b6adb77eafd569245c53212a95888a","source":{"kind":"arxiv","id":"1606.03237","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.03237","created_at":"2026-05-18T01:12:37Z"},{"alias_kind":"arxiv_version","alias_value":"1606.03237v1","created_at":"2026-05-18T01:12:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.03237","created_at":"2026-05-18T01:12:37Z"},{"alias_kind":"pith_short_12","alias_value":"TTOAOSJKHJFU","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"TTOAOSJKHJFUPM34","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"TTOAOSJK","created_at":"2026-05-18T12:30:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:TTOAOSJKHJFUPM34DQHBP5KAP4","target":"record","payload":{"canonical_record":{"source":{"id":"1606.03237","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-10T09:12:05Z","cross_cats_sorted":[],"title_canon_sha256":"9f3d6372d0d94787a58ffafd74ec6c8cfdd0632c5106e89d0838959fba4a05e8","abstract_canon_sha256":"70c2f560a46c80b103f7241fd3e1c6e7f63cac5a928b5858c827e17c1de0dff1"},"schema_version":"1.0"},"canonical_sha256":"9cdc07492a3a4b47b37c1c0e17f5407f38b6adb77eafd569245c53212a95888a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:12:37.293279Z","signature_b64":"dcLUAs8lEYoO9vvPQ43KaDZ9pxQFxpSbT4hAo03lMsIeccQuRxWA9gL5GAynbetuemQNQ2DytUlU1v0l2fiKAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9cdc07492a3a4b47b37c1c0e17f5407f38b6adb77eafd569245c53212a95888a","last_reissued_at":"2026-05-18T01:12:37.292846Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:12:37.292846Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1606.03237","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":"2026-05-18T01:12:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kJrBoMRggs+CmwYN30B+SxzReQ92VunIDd1lWXOfq2syJzyBFrPce/EKv8dhUlUPOMNWaA6kXQ9PBnHpU73+DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T05:21:46.979717Z"},"content_sha256":"38dd76425ea2e3443a64a693bfe7a18bb24f5b7cb10f58bb24cb93fb0abd50d5","schema_version":"1.0","event_id":"sha256:38dd76425ea2e3443a64a693bfe7a18bb24f5b7cb10f58bb24cb93fb0abd50d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:TTOAOSJKHJFUPM34DQHBP5KAP4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-related Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ciprian Corneanu, Jeffrey F. Cohn, Marc Oliu, Sergio Escalera","submitted_at":"2016-06-10T09:12:05Z","abstract_excerpt":"Facial expressions are an important way through which humans interact socially. Building a system capable of automatically recognizing facial expressions from images and video has been an intense field of study in recent years. Interpreting such expressions remains challenging and much research is needed about the way they relate to human affect. This paper presents a general overview of automatic RGB, 3D, thermal and multimodal facial expression analysis. We define a new taxonomy for the field, encompassing all steps from face detection to facial expression recognition, and describe and class"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.03237","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":"2026-05-18T01:12:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Prk/j4H+/7T/qC/PsZuAzdyuiPJXiPkjmNw8OLORZv/lB1PWgXrqJQ5xFaa/hLJK0+TTZVhVMD/PNrDFfoQ0Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T05:21:46.980370Z"},"content_sha256":"bfaebbd86833f0906adb608bf1046121c93fe5fe8846725224d57c6944e2db27","schema_version":"1.0","event_id":"sha256:bfaebbd86833f0906adb608bf1046121c93fe5fe8846725224d57c6944e2db27"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TTOAOSJKHJFUPM34DQHBP5KAP4/bundle.json","state_url":"https://pith.science/pith/TTOAOSJKHJFUPM34DQHBP5KAP4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TTOAOSJKHJFUPM34DQHBP5KAP4/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":"2026-05-31T05:21:46Z","links":{"resolver":"https://pith.science/pith/TTOAOSJKHJFUPM34DQHBP5KAP4","bundle":"https://pith.science/pith/TTOAOSJKHJFUPM34DQHBP5KAP4/bundle.json","state":"https://pith.science/pith/TTOAOSJKHJFUPM34DQHBP5KAP4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TTOAOSJKHJFUPM34DQHBP5KAP4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:TTOAOSJKHJFUPM34DQHBP5KAP4","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":"70c2f560a46c80b103f7241fd3e1c6e7f63cac5a928b5858c827e17c1de0dff1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-10T09:12:05Z","title_canon_sha256":"9f3d6372d0d94787a58ffafd74ec6c8cfdd0632c5106e89d0838959fba4a05e8"},"schema_version":"1.0","source":{"id":"1606.03237","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.03237","created_at":"2026-05-18T01:12:37Z"},{"alias_kind":"arxiv_version","alias_value":"1606.03237v1","created_at":"2026-05-18T01:12:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.03237","created_at":"2026-05-18T01:12:37Z"},{"alias_kind":"pith_short_12","alias_value":"TTOAOSJKHJFU","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_16","alias_value":"TTOAOSJKHJFUPM34","created_at":"2026-05-18T12:30:46Z"},{"alias_kind":"pith_short_8","alias_value":"TTOAOSJK","created_at":"2026-05-18T12:30:46Z"}],"graph_snapshots":[{"event_id":"sha256:bfaebbd86833f0906adb608bf1046121c93fe5fe8846725224d57c6944e2db27","target":"graph","created_at":"2026-05-18T01:12:37Z","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":"Facial expressions are an important way through which humans interact socially. Building a system capable of automatically recognizing facial expressions from images and video has been an intense field of study in recent years. Interpreting such expressions remains challenging and much research is needed about the way they relate to human affect. This paper presents a general overview of automatic RGB, 3D, thermal and multimodal facial expression analysis. We define a new taxonomy for the field, encompassing all steps from face detection to facial expression recognition, and describe and class","authors_text":"Ciprian Corneanu, Jeffrey F. Cohn, Marc Oliu, Sergio Escalera","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-10T09:12:05Z","title":"Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-related Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.03237","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":"sha256:38dd76425ea2e3443a64a693bfe7a18bb24f5b7cb10f58bb24cb93fb0abd50d5","target":"record","created_at":"2026-05-18T01:12:37Z","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":"70c2f560a46c80b103f7241fd3e1c6e7f63cac5a928b5858c827e17c1de0dff1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-06-10T09:12:05Z","title_canon_sha256":"9f3d6372d0d94787a58ffafd74ec6c8cfdd0632c5106e89d0838959fba4a05e8"},"schema_version":"1.0","source":{"id":"1606.03237","kind":"arxiv","version":1}},"canonical_sha256":"9cdc07492a3a4b47b37c1c0e17f5407f38b6adb77eafd569245c53212a95888a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9cdc07492a3a4b47b37c1c0e17f5407f38b6adb77eafd569245c53212a95888a","first_computed_at":"2026-05-18T01:12:37.292846Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:12:37.292846Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dcLUAs8lEYoO9vvPQ43KaDZ9pxQFxpSbT4hAo03lMsIeccQuRxWA9gL5GAynbetuemQNQ2DytUlU1v0l2fiKAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:12:37.293279Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.03237","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38dd76425ea2e3443a64a693bfe7a18bb24f5b7cb10f58bb24cb93fb0abd50d5","sha256:bfaebbd86833f0906adb608bf1046121c93fe5fe8846725224d57c6944e2db27"],"state_sha256":"12ddd8e9a0eb71147ce7d4b013cf017a6d00e05764a5eccc17748a661e14ca32"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/GbYR5CHsQDBMPqbFamfQqcuq7Pj1lTLsMfyqsfikEEr6LzjSIeAM1d6aMz+gpMz6nxpQXRd+C8YSJNHkK3EAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T05:21:46.983701Z","bundle_sha256":"51c4d734b3c4a7f9e0f1fd8597802e21f68a767f37eb705061418bd2aaad4dd8"}}