{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:DPRJTIGL6UO65OJD2SAZAUSP34","short_pith_number":"pith:DPRJTIGL","schema_version":"1.0","canonical_sha256":"1be299a0cbf51deeb923d48190524fdf2774f4318e854de6a6b40070e90ac240","source":{"kind":"arxiv","id":"1805.00638","version":2},"attestation_state":"computed","paper":{"title":"A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Le Zhang, Meng Fang, Songyou Peng, Stefan Winkler, Yutong Ban","submitted_at":"2018-05-02T06:03:47Z","abstract_excerpt":"In this paper, we comprehensively describe the methodology of our submissions to the One-Minute Gradual-Emotion Behavior Challenge 2018."},"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":"1805.00638","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-02T06:03:47Z","cross_cats_sorted":[],"title_canon_sha256":"45f333ef2823a0e13e26e0f52e403122a230680ce58039957c2d0520c7200e6f","abstract_canon_sha256":"d157bf05ae92c6257aa373a6d2514d9e138cb4320c2474c0c5bada891cb62674"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:35.114692Z","signature_b64":"RYJiIFHl84HeaJt0NeSqMG2WutTDx1IIEuKB2niKSqU+C72EwWC7JWms8mcgFDbSZ/3HSup2u/qQqekjqpk7Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1be299a0cbf51deeb923d48190524fdf2774f4318e854de6a6b40070e90ac240","last_reissued_at":"2026-05-17T23:42:35.113983Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:35.113983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Le Zhang, Meng Fang, Songyou Peng, Stefan Winkler, Yutong Ban","submitted_at":"2018-05-02T06:03:47Z","abstract_excerpt":"In this paper, we comprehensively describe the methodology of our submissions to the One-Minute Gradual-Emotion Behavior Challenge 2018."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.00638","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":"1805.00638","created_at":"2026-05-17T23:42:35.114105+00:00"},{"alias_kind":"arxiv_version","alias_value":"1805.00638v2","created_at":"2026-05-17T23:42:35.114105+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.00638","created_at":"2026-05-17T23:42:35.114105+00:00"},{"alias_kind":"pith_short_12","alias_value":"DPRJTIGL6UO6","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_16","alias_value":"DPRJTIGL6UO65OJD","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_8","alias_value":"DPRJTIGL","created_at":"2026-05-18T12:32:19.392346+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DPRJTIGL6UO65OJD2SAZAUSP34","json":"https://pith.science/pith/DPRJTIGL6UO65OJD2SAZAUSP34.json","graph_json":"https://pith.science/api/pith-number/DPRJTIGL6UO65OJD2SAZAUSP34/graph.json","events_json":"https://pith.science/api/pith-number/DPRJTIGL6UO65OJD2SAZAUSP34/events.json","paper":"https://pith.science/paper/DPRJTIGL"},"agent_actions":{"view_html":"https://pith.science/pith/DPRJTIGL6UO65OJD2SAZAUSP34","download_json":"https://pith.science/pith/DPRJTIGL6UO65OJD2SAZAUSP34.json","view_paper":"https://pith.science/paper/DPRJTIGL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1805.00638&json=true","fetch_graph":"https://pith.science/api/pith-number/DPRJTIGL6UO65OJD2SAZAUSP34/graph.json","fetch_events":"https://pith.science/api/pith-number/DPRJTIGL6UO65OJD2SAZAUSP34/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DPRJTIGL6UO65OJD2SAZAUSP34/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DPRJTIGL6UO65OJD2SAZAUSP34/action/storage_attestation","attest_author":"https://pith.science/pith/DPRJTIGL6UO65OJD2SAZAUSP34/action/author_attestation","sign_citation":"https://pith.science/pith/DPRJTIGL6UO65OJD2SAZAUSP34/action/citation_signature","submit_replication":"https://pith.science/pith/DPRJTIGL6UO65OJD2SAZAUSP34/action/replication_record"}},"created_at":"2026-05-17T23:42:35.114105+00:00","updated_at":"2026-05-17T23:42:35.114105+00:00"}