{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:S2KF6BOQAJKLKLF6375QQH7LKR","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":"68ff0ac5f26f485f7201df64557d40d2acd9db8de7589b82b23fe4efe73ec13b","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-05-28T14:43:43Z","title_canon_sha256":"ff90817cc5be9d1c07c1f7dfb56cc791ef89020b0b1d9ba93d2618d30293a048"},"schema_version":"1.0","source":{"id":"2505.22416","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.22416","created_at":"2026-07-05T11:11:23Z"},{"alias_kind":"arxiv_version","alias_value":"2505.22416v1","created_at":"2026-07-05T11:11:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.22416","created_at":"2026-07-05T11:11:23Z"},{"alias_kind":"pith_short_12","alias_value":"S2KF6BOQAJKL","created_at":"2026-07-05T11:11:23Z"},{"alias_kind":"pith_short_16","alias_value":"S2KF6BOQAJKLKLF6","created_at":"2026-07-05T11:11:23Z"},{"alias_kind":"pith_short_8","alias_value":"S2KF6BOQ","created_at":"2026-07-05T11:11:23Z"}],"graph_snapshots":[{"event_id":"sha256:ef7d180d9773a922109cc1034bd2dd1121e178583abc6fe052215af8c021a2e4","target":"graph","created_at":"2026-07-05T11:11:23Z","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/2505.22416/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurately retargeting facial expressions to a face mesh while enabling manipulation is a key challenge in facial animation retargeting. Recent deep-learning methods address this by encoding facial expressions into a global latent code, but they often fail to capture fine-grained details in local regions. While some methods improve local accuracy by transferring deformations locally, this often complicates overall control of the facial expression. To address this, we propose a method that combines the strengths of both global and local deformation models. Our approach enables intuitive control","authors_text":"Junyong Noh, Kwanggyoon Seo, Serin Yoon, Sihun Cha","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-05-28T14:43:43Z","title":"Neural Face Skinning for Mesh-agnostic Facial Expression Cloning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.22416","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:a2952de035a19479b72807c9c848f482648ec29ce062f54b2741f37f6686aeaf","target":"record","created_at":"2026-07-05T11:11:23Z","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":"68ff0ac5f26f485f7201df64557d40d2acd9db8de7589b82b23fe4efe73ec13b","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-05-28T14:43:43Z","title_canon_sha256":"ff90817cc5be9d1c07c1f7dfb56cc791ef89020b0b1d9ba93d2618d30293a048"},"schema_version":"1.0","source":{"id":"2505.22416","kind":"arxiv","version":1}},"canonical_sha256":"96945f05d00254b52cbedffb081feb545c1b94cd6bd62e7ab74c328840c4af41","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96945f05d00254b52cbedffb081feb545c1b94cd6bd62e7ab74c328840c4af41","first_computed_at":"2026-07-05T11:11:23.374331Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:11:23.374331Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oNqGYAyD0H1KXED4PwBCjn5JaIIacSPvmXMeTBVPvuuFtZm3sYFLf6KrrfgtmXq1wisMFq5L13sDnF2ILTqlCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:11:23.374890Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.22416","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a2952de035a19479b72807c9c848f482648ec29ce062f54b2741f37f6686aeaf","sha256:ef7d180d9773a922109cc1034bd2dd1121e178583abc6fe052215af8c021a2e4"],"state_sha256":"c80a1d0ec27ebab9ab82d88a5aeaa9fee24e8f9e9e33a249eee3b76051880959"}