{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KO4XAOSKUJCJ5G57RYP3H7FPCJ","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":"0ad1db68b50d80bdd9eb65a93fb0c53e0dab3d7be1294983ad4d8ab503311b2d","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T04:15:06Z","title_canon_sha256":"09d4d097b9ff4cd2af013dd5c48736f4f137f04606e420c1ebd9fa4b1f95b48f"},"schema_version":"1.0","source":{"id":"2507.11892","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.11892","created_at":"2026-07-05T11:37:52Z"},{"alias_kind":"arxiv_version","alias_value":"2507.11892v1","created_at":"2026-07-05T11:37:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.11892","created_at":"2026-07-05T11:37:52Z"},{"alias_kind":"pith_short_12","alias_value":"KO4XAOSKUJCJ","created_at":"2026-07-05T11:37:52Z"},{"alias_kind":"pith_short_16","alias_value":"KO4XAOSKUJCJ5G57","created_at":"2026-07-05T11:37:52Z"},{"alias_kind":"pith_short_8","alias_value":"KO4XAOSK","created_at":"2026-07-05T11:37:52Z"}],"graph_snapshots":[{"event_id":"sha256:ed2dce6c1b892d7a96741129941ebed392be532d2b2bb5506e1469e61b874cc2","target":"graph","created_at":"2026-07-05T11:37:52Z","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/2507.11892/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dynamic Facial Expression Recognition (DFER) aims to identify human emotions from temporally evolving facial movements and plays a critical role in affective computing. While recent vision-language approaches have introduced semantic textual descriptions to guide expression recognition, existing methods still face two key limitations: they often underutilize the subtle emotional cues embedded in generated text, and they have yet to incorporate sufficiently effective mechanisms for filtering out facial dynamics that are irrelevant to emotional expression. To address these gaps, We propose GRACE","authors_text":"Di Gao, Hanlei Shi, Leyuan Qu, Taihao Li, Yuhua Zheng, Yu Liu","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T04:15:06Z","title":"From Coarse to Nuanced: Cross-Modal Alignment of Fine-Grained Linguistic Cues and Visual Salient Regions for Dynamic Emotion Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.11892","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:b25070ffb0882a003698302b9d2839822d85e9ee52ba47c7677f2b7db08f2415","target":"record","created_at":"2026-07-05T11:37:52Z","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":"0ad1db68b50d80bdd9eb65a93fb0c53e0dab3d7be1294983ad4d8ab503311b2d","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-16T04:15:06Z","title_canon_sha256":"09d4d097b9ff4cd2af013dd5c48736f4f137f04606e420c1ebd9fa4b1f95b48f"},"schema_version":"1.0","source":{"id":"2507.11892","kind":"arxiv","version":1}},"canonical_sha256":"53b9703a4aa2449e9bbf8e1fb3fcaf125b3b84352099ec73aa6e5cff1a964f4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"53b9703a4aa2449e9bbf8e1fb3fcaf125b3b84352099ec73aa6e5cff1a964f4a","first_computed_at":"2026-07-05T11:37:52.926399Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:37:52.926399Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/WnKkrddz/4vZDuR2Ky6pjnV9pLfj1xMXCxrQozZ0bdH0w5exf5HLEXAtN9/NpxerzLGkk5jFm4zdjf40m1gAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:37:52.926840Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.11892","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b25070ffb0882a003698302b9d2839822d85e9ee52ba47c7677f2b7db08f2415","sha256:ed2dce6c1b892d7a96741129941ebed392be532d2b2bb5506e1469e61b874cc2"],"state_sha256":"91e459b598a3c32b6c91ffc28f2fe991a8d5eb64486ff94ccf6885f7b90eea5a"}