{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:B56OEQ5HA6TFEZ2R3USBTP5EEQ","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":"87edb5864cd73afd1e3945d22191f5dd4136a5ab60684852c77032a212d8bd1a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-21T06:40:46Z","title_canon_sha256":"8f7ba0f0eddc19962a61c00fa806fa48ebf5578f710ea2d58cb56d034f11b8a7"},"schema_version":"1.0","source":{"id":"2211.11208","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.11208","created_at":"2026-07-05T05:50:32Z"},{"alias_kind":"arxiv_version","alias_value":"2211.11208v2","created_at":"2026-07-05T05:50:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.11208","created_at":"2026-07-05T05:50:32Z"},{"alias_kind":"pith_short_12","alias_value":"B56OEQ5HA6TF","created_at":"2026-07-05T05:50:32Z"},{"alias_kind":"pith_short_16","alias_value":"B56OEQ5HA6TFEZ2R","created_at":"2026-07-05T05:50:32Z"},{"alias_kind":"pith_short_8","alias_value":"B56OEQ5H","created_at":"2026-07-05T05:50:32Z"}],"graph_snapshots":[{"event_id":"sha256:83be90056c01d7cd1b279c5f9d6c087d4f9063a054fc151d528e36f9215298ff","target":"graph","created_at":"2026-07-05T05:50:32Z","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/2211.11208/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D-aware generative adversarial networks (GANs) synthesize high-fidelity and multi-view-consistent facial images using only collections of single-view 2D imagery. Towards fine-grained control over facial attributes, recent efforts incorporate 3D Morphable Face Model (3DMM) to describe deformation in generative radiance fields either explicitly or implicitly. Explicit methods provide fine-grained expression control but cannot handle topological changes caused by hair and accessories, while implicit ones can model varied topologies but have limited generalization caused by the unconstrained defo","authors_text":"Hongwen Zhang, Jingxiang Sun, Lizhen Wang, Xiaoyu Li, Xuan Wang, Yebin Liu, Yong Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-21T06:40:46Z","title":"Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.11208","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:b6421a05b4bd9da5fc742d9edad4979c5a5f1338c4b81907879c41c8ea09a15c","target":"record","created_at":"2026-07-05T05:50:32Z","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":"87edb5864cd73afd1e3945d22191f5dd4136a5ab60684852c77032a212d8bd1a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-21T06:40:46Z","title_canon_sha256":"8f7ba0f0eddc19962a61c00fa806fa48ebf5578f710ea2d58cb56d034f11b8a7"},"schema_version":"1.0","source":{"id":"2211.11208","kind":"arxiv","version":2}},"canonical_sha256":"0f7ce243a707a6526751dd2419bfa424305c532f9ded3ed5ed1dffc757b991f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f7ce243a707a6526751dd2419bfa424305c532f9ded3ed5ed1dffc757b991f2","first_computed_at":"2026-07-05T05:50:32.543270Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:50:32.543270Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qvAm7uTQjyyrvCsfWaWzNmzSR8dTjFTnmGUErhrwZVY/+jSw6o/IcwTkIPK8HBkvAHkpEJQqa41dhNkrnKbkCA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:50:32.543736Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.11208","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b6421a05b4bd9da5fc742d9edad4979c5a5f1338c4b81907879c41c8ea09a15c","sha256:83be90056c01d7cd1b279c5f9d6c087d4f9063a054fc151d528e36f9215298ff"],"state_sha256":"0ec90fc493f436880c4ed9a25e8bc5ba652dd5c5fc81f6bf08f320c8cef5dfed"}