{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BWSOFI2MM3JWTQOE2HIXTP2AAG","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":"5ca05b478251d8b32459dc0aa9ecc973f39dfdf828787575bc699dda08752430","cross_cats_sorted":["cs.AI","cs.LG","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-14T17:50:27Z","title_canon_sha256":"87e3d86502d38ae972fb1ca9b6ea03db3b767b67a5da450bb5d9a31d897ef845"},"schema_version":"1.0","source":{"id":"2408.07694","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.07694","created_at":"2026-07-05T08:55:28Z"},{"alias_kind":"arxiv_version","alias_value":"2408.07694v1","created_at":"2026-07-05T08:55:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.07694","created_at":"2026-07-05T08:55:28Z"},{"alias_kind":"pith_short_12","alias_value":"BWSOFI2MM3JW","created_at":"2026-07-05T08:55:28Z"},{"alias_kind":"pith_short_16","alias_value":"BWSOFI2MM3JWTQOE","created_at":"2026-07-05T08:55:28Z"},{"alias_kind":"pith_short_8","alias_value":"BWSOFI2M","created_at":"2026-07-05T08:55:28Z"}],"graph_snapshots":[{"event_id":"sha256:a1bd5b22c811c138bf978bf183c1215bbdd6ef5bd46213a474de7d283374a606","target":"graph","created_at":"2026-07-05T08:55:28Z","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/2408.07694/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the pathway toward Artificial General Intelligence (AGI), understanding human's affection is essential to enhance machine's cognition abilities. For achieving more sensual human-AI interaction, Multimodal Affective Computing (MAC) in human-spoken videos has attracted increasing attention. However, previous methods are mainly devoted to designing multimodal fusion algorithms, suffering from two issues: semantic imbalance caused by diverse pre-processing operations and semantic mismatch raised by inconsistent affection content contained in different modalities comparing with the multimodal gr","authors_text":"Haifeng Hu, Ronghao Lin, Sijie Mai, Ying Zeng","cross_cats":["cs.AI","cs.LG","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-14T17:50:27Z","title":"End-to-end Semantic-centric Video-based Multimodal Affective Computing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.07694","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:f5dba82e5b74b786d03631c79a478b96d8f24257ebce1aa79e2e2497a38b0a89","target":"record","created_at":"2026-07-05T08:55:28Z","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":"5ca05b478251d8b32459dc0aa9ecc973f39dfdf828787575bc699dda08752430","cross_cats_sorted":["cs.AI","cs.LG","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-14T17:50:27Z","title_canon_sha256":"87e3d86502d38ae972fb1ca9b6ea03db3b767b67a5da450bb5d9a31d897ef845"},"schema_version":"1.0","source":{"id":"2408.07694","kind":"arxiv","version":1}},"canonical_sha256":"0da4e2a34c66d369c1c4d1d179bf4001b3f00b7d16da46dd8ad668926e91d56c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0da4e2a34c66d369c1c4d1d179bf4001b3f00b7d16da46dd8ad668926e91d56c","first_computed_at":"2026-07-05T08:55:28.863280Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:55:28.863280Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3DaPrxHebShQ8vJaxg9arV8phflSV6xbQalujUN2skhJWJf8YHpsojj+ujDH3hDzwjEB49kpTNUM1DABBVWvCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:55:28.863792Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.07694","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f5dba82e5b74b786d03631c79a478b96d8f24257ebce1aa79e2e2497a38b0a89","sha256:a1bd5b22c811c138bf978bf183c1215bbdd6ef5bd46213a474de7d283374a606"],"state_sha256":"2afa014f86cc067049b905f14bcd5952ef37c8efe80ee94ab5b371979c5540aa"}