{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IILFVPSSGADV6O7DLPAXL3XGXQ","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":"661020e4af464b798c29bed15ff100da68fc647e4dd4471b92ec4b0d2df90c4e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-22T06:31:57Z","title_canon_sha256":"25513f16ed379e7d96a98ea863eda3d5e8ee2288b31d4ccdc09406560333e69e"},"schema_version":"1.0","source":{"id":"2504.15624","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.15624","created_at":"2026-07-05T10:54:16Z"},{"alias_kind":"arxiv_version","alias_value":"2504.15624v2","created_at":"2026-07-05T10:54:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.15624","created_at":"2026-07-05T10:54:16Z"},{"alias_kind":"pith_short_12","alias_value":"IILFVPSSGADV","created_at":"2026-07-05T10:54:16Z"},{"alias_kind":"pith_short_16","alias_value":"IILFVPSSGADV6O7D","created_at":"2026-07-05T10:54:16Z"},{"alias_kind":"pith_short_8","alias_value":"IILFVPSS","created_at":"2026-07-05T10:54:16Z"}],"graph_snapshots":[{"event_id":"sha256:53078b8405b7da7e783d0d6328fe13930251d6c55abd1dfac51debec9bc13c5d","target":"graph","created_at":"2026-07-05T10:54:16Z","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/2504.15624/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in multimodal large language models (MLLMs) have demonstrated strong capabilities in understanding general visual content. However, these general-domain MLLMs perform poorly in face perception tasks, often producing inaccurate or misleading responses to face-specific queries. To address this gap, we propose FaceInsight, the versatile face perception MLLM that provides fine-grained facial information. Our approach introduces visual-textual alignment of facial knowledge to model both uncertain dependencies and deterministic relationships among facial information, mitigating the l","authors_text":"Changjiang Luo, Hua Zhang, Jianhou Gan, Jingzhi Li, Ruoyu Chen, Wenqi Ren, Xiaochun Cao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-22T06:31:57Z","title":"FaceInsight: A Multimodal Large Language Model for Face Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.15624","kind":"arxiv","version":2},"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":"sha256:65eaa02fa0c18d04209ff9a82c33201a2e934c3af35cc3c394404d5af1652dc5","target":"record","created_at":"2026-07-05T10:54:16Z","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":"661020e4af464b798c29bed15ff100da68fc647e4dd4471b92ec4b0d2df90c4e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-22T06:31:57Z","title_canon_sha256":"25513f16ed379e7d96a98ea863eda3d5e8ee2288b31d4ccdc09406560333e69e"},"schema_version":"1.0","source":{"id":"2504.15624","kind":"arxiv","version":2}},"canonical_sha256":"42165abe5230075f3be35bc175eee6bc1eba2fd129ac4c6834078474b335509c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"42165abe5230075f3be35bc175eee6bc1eba2fd129ac4c6834078474b335509c","first_computed_at":"2026-07-05T10:54:16.565925Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:54:16.565925Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i200Kl8XE7jLkLbSb75CvuTGXQTbM2o3CTxmE+I+5KcqDIoC85CsNtPAVUKjEkbePYIypU3aoqVRS5ONqrQKBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:54:16.566470Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.15624","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:65eaa02fa0c18d04209ff9a82c33201a2e934c3af35cc3c394404d5af1652dc5","sha256:53078b8405b7da7e783d0d6328fe13930251d6c55abd1dfac51debec9bc13c5d"],"state_sha256":"f0a791827d973e82e48c5eac76859f90f4060040291cc177eeabaa5744b4903d"}