{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:EQ4ZGKAWPSEVT6DSTMDB3Y6XMX","short_pith_number":"pith:EQ4ZGKAW","schema_version":"1.0","canonical_sha256":"24399328167c8959f8729b061de3d765ccb8c9a07261f5df41c90e434d8041d8","source":{"kind":"arxiv","id":"1801.09092","version":2},"attestation_state":"computed","paper":{"title":"Interactive Generative Adversarial Networks for Facial Expression Generation in Dyadic Interactions","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Behnaz Nojavanasghari, Saad Khan, Yuchi Huang","submitted_at":"2018-01-27T14:01:17Z","abstract_excerpt":"A social interaction is a social exchange between two or more individuals,where individuals modify and adjust their behaviors in response to their interaction partners. Our social interactions are one of most fundamental aspects of our lives and can profoundly affect our mood, both positively and negatively. With growing interest in virtual reality and avatar-mediated interactions,it is desirable to make these interactions natural and human like to promote positive effect in the interactions and applications such as intelligent tutoring systems, automated interview systems and e-learning. In t"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1801.09092","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-27T14:01:17Z","cross_cats_sorted":[],"title_canon_sha256":"d0003e69445f0315e2aa8c0a464c1354cc2a0f77cffa1c98bbbf9b7d83080a9e","abstract_canon_sha256":"c19b4eb91711283328258bce73ce21af2ef59d9b55311821ad05cf3f63ad91f4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:24:41.659549Z","signature_b64":"VW7hU5FAVqZyeu/aKdV+Ty+qBkOuW8z7JXtLieBgjWi/YZvVLHVctDONSy75RogFf+Gbk8t/DhGCIqwnZljDAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24399328167c8959f8729b061de3d765ccb8c9a07261f5df41c90e434d8041d8","last_reissued_at":"2026-05-18T00:24:41.659032Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:24:41.659032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Interactive Generative Adversarial Networks for Facial Expression Generation in Dyadic Interactions","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Behnaz Nojavanasghari, Saad Khan, Yuchi Huang","submitted_at":"2018-01-27T14:01:17Z","abstract_excerpt":"A social interaction is a social exchange between two or more individuals,where individuals modify and adjust their behaviors in response to their interaction partners. Our social interactions are one of most fundamental aspects of our lives and can profoundly affect our mood, both positively and negatively. With growing interest in virtual reality and avatar-mediated interactions,it is desirable to make these interactions natural and human like to promote positive effect in the interactions and applications such as intelligent tutoring systems, automated interview systems and e-learning. In t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.09092","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1801.09092","created_at":"2026-05-18T00:24:41.659117+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.09092v2","created_at":"2026-05-18T00:24:41.659117+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.09092","created_at":"2026-05-18T00:24:41.659117+00:00"},{"alias_kind":"pith_short_12","alias_value":"EQ4ZGKAWPSEV","created_at":"2026-05-18T12:32:22.470017+00:00"},{"alias_kind":"pith_short_16","alias_value":"EQ4ZGKAWPSEVT6DS","created_at":"2026-05-18T12:32:22.470017+00:00"},{"alias_kind":"pith_short_8","alias_value":"EQ4ZGKAW","created_at":"2026-05-18T12:32:22.470017+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2511.20657","citing_title":"Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects","ref_index":184,"is_internal_anchor":true},{"citing_arxiv_id":"2604.12650","citing_title":"Listening Deepfake Detection: A New Perspective Beyond Speaking-Centric Forgery Analysis","ref_index":28,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX","json":"https://pith.science/pith/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX.json","graph_json":"https://pith.science/api/pith-number/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX/graph.json","events_json":"https://pith.science/api/pith-number/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX/events.json","paper":"https://pith.science/paper/EQ4ZGKAW"},"agent_actions":{"view_html":"https://pith.science/pith/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX","download_json":"https://pith.science/pith/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX.json","view_paper":"https://pith.science/paper/EQ4ZGKAW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.09092&json=true","fetch_graph":"https://pith.science/api/pith-number/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX/graph.json","fetch_events":"https://pith.science/api/pith-number/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX/action/storage_attestation","attest_author":"https://pith.science/pith/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX/action/author_attestation","sign_citation":"https://pith.science/pith/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX/action/citation_signature","submit_replication":"https://pith.science/pith/EQ4ZGKAWPSEVT6DSTMDB3Y6XMX/action/replication_record"}},"created_at":"2026-05-18T00:24:41.659117+00:00","updated_at":"2026-05-18T00:24:41.659117+00:00"}