{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IJWN66W77ZRJC7JSXORCFGDG3K","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":"05b23e9f1ff27c27eff442d39f24b7fbe3ae8b866edf6a5f3bded87102f2ee2d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-05T10:47:42Z","title_canon_sha256":"6b9a8eb7c086a704309eb61ba7a75e3d898185ee72bf68460b3854c3d691b44d"},"schema_version":"1.0","source":{"id":"2401.02746","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.02746","created_at":"2026-07-05T07:30:30Z"},{"alias_kind":"arxiv_version","alias_value":"2401.02746v1","created_at":"2026-07-05T07:30:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.02746","created_at":"2026-07-05T07:30:30Z"},{"alias_kind":"pith_short_12","alias_value":"IJWN66W77ZRJ","created_at":"2026-07-05T07:30:30Z"},{"alias_kind":"pith_short_16","alias_value":"IJWN66W77ZRJC7JS","created_at":"2026-07-05T07:30:30Z"},{"alias_kind":"pith_short_8","alias_value":"IJWN66W7","created_at":"2026-07-05T07:30:30Z"}],"graph_snapshots":[{"event_id":"sha256:36444ff4ef2dc73f45de40cfd3c2f844253420ce0aa9438a5d077e0e012942b8","target":"graph","created_at":"2026-07-05T07:30:30Z","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/2401.02746/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Depression, a prominent contributor to global disability, affects a substantial portion of the population. Efforts to detect depression from social media texts have been prevalent, yet only a few works explored depression detection from user-generated video content. In this work, we address this research gap by proposing a simple and flexible multi-modal temporal model capable of discerning non-verbal depression cues from diverse modalities in noisy, real-world videos. We show that, for in-the-wild videos, using additional high-level non-verbal cues is crucial to achieving good performance, an","authors_text":"Adrian Cosma, Ana-Maria Bucur, Carlos-David Mart\\'inez-Hinarejos, David Gimeno-G\\'omez, Paolo Rosso","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-05T10:47:42Z","title":"Reading Between the Frames: Multi-Modal Depression Detection in Videos from Non-Verbal Cues"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.02746","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":"sha256:69376226ad9b398b004fc958496f1880ea6610719299b7e2caec56636393f622","target":"record","created_at":"2026-07-05T07:30:30Z","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":"05b23e9f1ff27c27eff442d39f24b7fbe3ae8b866edf6a5f3bded87102f2ee2d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-05T10:47:42Z","title_canon_sha256":"6b9a8eb7c086a704309eb61ba7a75e3d898185ee72bf68460b3854c3d691b44d"},"schema_version":"1.0","source":{"id":"2401.02746","kind":"arxiv","version":1}},"canonical_sha256":"426cdf7adffe62917d32bba2229866da85be022d034a8135b6cd1067f46fd94d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"426cdf7adffe62917d32bba2229866da85be022d034a8135b6cd1067f46fd94d","first_computed_at":"2026-07-05T07:30:30.560520Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:30:30.560520Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6Zi0LvH7X/lfZID/yJwJTaOcf0vqUus0YbGiX6oVn/tXX5/zMTZoTELVuuDNY92lJLih9NwJKyt+ziwVV7qeAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:30:30.560983Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.02746","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:69376226ad9b398b004fc958496f1880ea6610719299b7e2caec56636393f622","sha256:36444ff4ef2dc73f45de40cfd3c2f844253420ce0aa9438a5d077e0e012942b8"],"state_sha256":"068fcb3c593ad99ff3fc5e7e9b2da8519a3d12be9221570e84ade520f56b2f54"}