{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:STVRDON5QH3U3I7ZYZ7DNKTTFU","short_pith_number":"pith:STVRDON5","schema_version":"1.0","canonical_sha256":"94eb11b9bd81f74da3f9c67e36aa732d0927b4275691f6a639bf863af3913966","source":{"kind":"arxiv","id":"2208.13954","version":1},"attestation_state":"computed","paper":{"title":"Video-based Cross-modal Auxiliary Network for Multimodal Sentiment Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CV","authors_text":"Huiyu Zhou, Rongfei Chen, Wenju Zhou, Yang Li","submitted_at":"2022-08-30T02:08:06Z","abstract_excerpt":"Multimodal sentiment analysis has a wide range of applications due to its information complementarity in multimodal interactions. Previous works focus more on investigating efficient joint representations, but they rarely consider the insufficient unimodal features extraction and data redundancy of multimodal fusion. In this paper, a Video-based Cross-modal Auxiliary Network (VCAN) is proposed, which is comprised of an audio features map module and a cross-modal selection module. The first module is designed to substantially increase feature diversity in audio feature extraction, aiming to imp"},"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":"2208.13954","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-08-30T02:08:06Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"290f05e62f0722bcbf019123c85e13765e66e28bb795ae95e365e18a79390821","abstract_canon_sha256":"2c35bb636931ede8392b13a11580ddf783262f24cd9c376e054ae2d1e8c20387"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:53:07.177397Z","signature_b64":"Per3COqWgCXdE3b5Dcc75jWjgDv/24nDy0VvgAtInxJZzl9BYOOrarKVzxd8RC1HD0cxvn5bYBm6m85xr4ITBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"94eb11b9bd81f74da3f9c67e36aa732d0927b4275691f6a639bf863af3913966","last_reissued_at":"2026-07-05T04:53:07.176926Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:53:07.176926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Video-based Cross-modal Auxiliary Network for Multimodal Sentiment Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CV","authors_text":"Huiyu Zhou, Rongfei Chen, Wenju Zhou, Yang Li","submitted_at":"2022-08-30T02:08:06Z","abstract_excerpt":"Multimodal sentiment analysis has a wide range of applications due to its information complementarity in multimodal interactions. Previous works focus more on investigating efficient joint representations, but they rarely consider the insufficient unimodal features extraction and data redundancy of multimodal fusion. In this paper, a Video-based Cross-modal Auxiliary Network (VCAN) is proposed, which is comprised of an audio features map module and a cross-modal selection module. The first module is designed to substantially increase feature diversity in audio feature extraction, aiming to imp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.13954","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2208.13954/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2208.13954","created_at":"2026-07-05T04:53:07.176986+00:00"},{"alias_kind":"arxiv_version","alias_value":"2208.13954v1","created_at":"2026-07-05T04:53:07.176986+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.13954","created_at":"2026-07-05T04:53:07.176986+00:00"},{"alias_kind":"pith_short_12","alias_value":"STVRDON5QH3U","created_at":"2026-07-05T04:53:07.176986+00:00"},{"alias_kind":"pith_short_16","alias_value":"STVRDON5QH3U3I7Z","created_at":"2026-07-05T04:53:07.176986+00:00"},{"alias_kind":"pith_short_8","alias_value":"STVRDON5","created_at":"2026-07-05T04:53:07.176986+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/STVRDON5QH3U3I7ZYZ7DNKTTFU","json":"https://pith.science/pith/STVRDON5QH3U3I7ZYZ7DNKTTFU.json","graph_json":"https://pith.science/api/pith-number/STVRDON5QH3U3I7ZYZ7DNKTTFU/graph.json","events_json":"https://pith.science/api/pith-number/STVRDON5QH3U3I7ZYZ7DNKTTFU/events.json","paper":"https://pith.science/paper/STVRDON5"},"agent_actions":{"view_html":"https://pith.science/pith/STVRDON5QH3U3I7ZYZ7DNKTTFU","download_json":"https://pith.science/pith/STVRDON5QH3U3I7ZYZ7DNKTTFU.json","view_paper":"https://pith.science/paper/STVRDON5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2208.13954&json=true","fetch_graph":"https://pith.science/api/pith-number/STVRDON5QH3U3I7ZYZ7DNKTTFU/graph.json","fetch_events":"https://pith.science/api/pith-number/STVRDON5QH3U3I7ZYZ7DNKTTFU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/STVRDON5QH3U3I7ZYZ7DNKTTFU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/STVRDON5QH3U3I7ZYZ7DNKTTFU/action/storage_attestation","attest_author":"https://pith.science/pith/STVRDON5QH3U3I7ZYZ7DNKTTFU/action/author_attestation","sign_citation":"https://pith.science/pith/STVRDON5QH3U3I7ZYZ7DNKTTFU/action/citation_signature","submit_replication":"https://pith.science/pith/STVRDON5QH3U3I7ZYZ7DNKTTFU/action/replication_record"}},"created_at":"2026-07-05T04:53:07.176986+00:00","updated_at":"2026-07-05T04:53:07.176986+00:00"}