{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:C5V5E46EEZYZXS72U2NHRIDCOG","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":"76b1beeb6c14df01fd7c223ff9b7fa6f42b035dd7c4f2ae9dddd9ba3d21561ab","cross_cats_sorted":["cs.AI","cs.CV","cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.MM","submitted_at":"2022-08-22T03:31:33Z","title_canon_sha256":"ae046021b49aeb8dcc610f8623d12aea4bbde0378291fd4d6900246468e6fae1"},"schema_version":"1.0","source":{"id":"2209.02604","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.02604","created_at":"2026-07-05T04:55:13Z"},{"alias_kind":"arxiv_version","alias_value":"2209.02604v1","created_at":"2026-07-05T04:55:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.02604","created_at":"2026-07-05T04:55:13Z"},{"alias_kind":"pith_short_12","alias_value":"C5V5E46EEZYZ","created_at":"2026-07-05T04:55:13Z"},{"alias_kind":"pith_short_16","alias_value":"C5V5E46EEZYZXS72","created_at":"2026-07-05T04:55:13Z"},{"alias_kind":"pith_short_8","alias_value":"C5V5E46E","created_at":"2026-07-05T04:55:13Z"}],"graph_snapshots":[{"event_id":"sha256:2d857a5c8d56303488b9421078fd433365b1076356b998c89b92a0e94234500a","target":"graph","created_at":"2026-07-05T04:55:13Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2209.02604/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal sentiment analysis (MSA), which supposes to improve text-based sentiment analysis with associated acoustic and visual modalities, is an emerging research area due to its potential applications in Human-Computer Interaction (HCI). However, the existing researches observe that the acoustic and visual modalities contribute much less than the textual modality, termed as text-predominant. Under such circumstances, in this work, we emphasize making non-verbal cues matter for the MSA task. Firstly, from the resource perspective, we present the CH-SIMS v2.0 dataset, an extension and enhance","authors_text":"Hua Xu, Huisheng Mao, Kai Gao, Tie Cheng, Wanqiuyue Yang, Xiaoteng Li, Yihe Liu, Yuanzhe Qiu, Zhiyun Liang, Ziqi Yuan","cross_cats":["cs.AI","cs.CV","cs.SD","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.MM","submitted_at":"2022-08-22T03:31:33Z","title":"Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.02604","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":"sha256:9c6bfc47a1c8c00aaa117a14a83acd03e1405fc2a8435e6b3c5d8898fae69c55","target":"record","created_at":"2026-07-05T04:55:13Z","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":"76b1beeb6c14df01fd7c223ff9b7fa6f42b035dd7c4f2ae9dddd9ba3d21561ab","cross_cats_sorted":["cs.AI","cs.CV","cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.MM","submitted_at":"2022-08-22T03:31:33Z","title_canon_sha256":"ae046021b49aeb8dcc610f8623d12aea4bbde0378291fd4d6900246468e6fae1"},"schema_version":"1.0","source":{"id":"2209.02604","kind":"arxiv","version":1}},"canonical_sha256":"176bd273c426719bcbfaa69a78a06271af3128e288f3f43b2dd55ca80e79ed75","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"176bd273c426719bcbfaa69a78a06271af3128e288f3f43b2dd55ca80e79ed75","first_computed_at":"2026-07-05T04:55:13.043915Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:55:13.043915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nJiLEMZhBfKdXXr3qFha6+rmMfc7asgF8aWpao+wvaWq0mKIuEOOamKUtVs81VSZowoO6GJmiW+NpYB5XRMcCA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:55:13.044335Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.02604","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c6bfc47a1c8c00aaa117a14a83acd03e1405fc2a8435e6b3c5d8898fae69c55","sha256:2d857a5c8d56303488b9421078fd433365b1076356b998c89b92a0e94234500a"],"state_sha256":"2b413ef2064e30d9edab184e7a70e82b99fff55eea9e844250ffc373e80f8181"}