{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7SCIAYXWBR2E4UTFSDXZNKU5X2","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":"bd902490059c324bd64db164d41ceb6224af86b88ac9712bd4262a2a6a713135","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-01T11:01:17Z","title_canon_sha256":"ae6098d44ec2df2702e55590aeae41ae6664c98f13bc9f6f63efdf7ee40587e8"},"schema_version":"1.0","source":{"id":"2307.00300","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.00300","created_at":"2026-07-05T06:26:54Z"},{"alias_kind":"arxiv_version","alias_value":"2307.00300v1","created_at":"2026-07-05T06:26:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.00300","created_at":"2026-07-05T06:26:54Z"},{"alias_kind":"pith_short_12","alias_value":"7SCIAYXWBR2E","created_at":"2026-07-05T06:26:54Z"},{"alias_kind":"pith_short_16","alias_value":"7SCIAYXWBR2E4UTF","created_at":"2026-07-05T06:26:54Z"},{"alias_kind":"pith_short_8","alias_value":"7SCIAYXW","created_at":"2026-07-05T06:26:54Z"}],"graph_snapshots":[{"event_id":"sha256:59c414acf2915c8aa78b57b091981eb06aae55ec3aaa9b7a97c76abdaa6019d0","target":"graph","created_at":"2026-07-05T06:26:54Z","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/2307.00300/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While large-scale pre-trained text-to-image models can synthesize diverse and high-quality human-centric images, an intractable problem is how to preserve the face identity for conditioned face images. Existing methods either require time-consuming optimization for each face-identity or learning an efficient encoder at the cost of harming the editability of models. In this work, we present an optimization-free method for each face identity, meanwhile keeping the editability for text-to-image models. Specifically, we propose a novel face-identity encoder to learn an accurate representation of h","authors_text":"Mengqi Huang, Qian He, Shancheng Fang, Wei Liu, Yongdong Zhang, Zhendong Mao, Zhuowei Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-01T11:01:17Z","title":"DreamIdentity: Improved Editability for Efficient Face-identity Preserved Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.00300","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:b51105abee97e6cd71c5d4f30d9f63cc0c81de1b0eee67f9cf01e21f0baa02e6","target":"record","created_at":"2026-07-05T06:26:54Z","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":"bd902490059c324bd64db164d41ceb6224af86b88ac9712bd4262a2a6a713135","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-01T11:01:17Z","title_canon_sha256":"ae6098d44ec2df2702e55590aeae41ae6664c98f13bc9f6f63efdf7ee40587e8"},"schema_version":"1.0","source":{"id":"2307.00300","kind":"arxiv","version":1}},"canonical_sha256":"fc848062f60c744e526590ef96aa9dbeab8c035eb82740273a50db34c7d911e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc848062f60c744e526590ef96aa9dbeab8c035eb82740273a50db34c7d911e8","first_computed_at":"2026-07-05T06:26:54.607886Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:26:54.607886Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vAeDJk4QjZaGroEH39Ew8HneWkHI0/+wBL4+xPjlwqgJRkQt/dnU2evVambwiHD24tEbUg/QYMG7sATCqLXqCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:26:54.608296Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.00300","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b51105abee97e6cd71c5d4f30d9f63cc0c81de1b0eee67f9cf01e21f0baa02e6","sha256:59c414acf2915c8aa78b57b091981eb06aae55ec3aaa9b7a97c76abdaa6019d0"],"state_sha256":"e9ef2624c38cab53aa77d9947d65b4bc98d4b21762d4e2403b1e40fc1fa251e6"}