{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:V2VUO3WBFZDGCR6ZXYYF747CFY","short_pith_number":"pith:V2VUO3WB","canonical_record":{"source":{"id":"2401.00551","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-31T17:41:48Z","cross_cats_sorted":[],"title_canon_sha256":"26fd821193fdf5cdb9bbc3ce65fe5ada57ab33f7c8b533cb5926b423986c6d8d","abstract_canon_sha256":"b49091783373f15c2aaed2528721053c959871092604da9b6051ad71fa16a67f"},"schema_version":"1.0"},"canonical_sha256":"aeab476ec12e466147d9be305ff3e22e277c89ceea9e5c3db231a1f67dee8cf4","source":{"kind":"arxiv","id":"2401.00551","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.00551","created_at":"2026-07-05T07:29:20Z"},{"alias_kind":"arxiv_version","alias_value":"2401.00551v1","created_at":"2026-07-05T07:29:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00551","created_at":"2026-07-05T07:29:20Z"},{"alias_kind":"pith_short_12","alias_value":"V2VUO3WBFZDG","created_at":"2026-07-05T07:29:20Z"},{"alias_kind":"pith_short_16","alias_value":"V2VUO3WBFZDGCR6Z","created_at":"2026-07-05T07:29:20Z"},{"alias_kind":"pith_short_8","alias_value":"V2VUO3WB","created_at":"2026-07-05T07:29:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:V2VUO3WBFZDGCR6ZXYYF747CFY","target":"record","payload":{"canonical_record":{"source":{"id":"2401.00551","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-31T17:41:48Z","cross_cats_sorted":[],"title_canon_sha256":"26fd821193fdf5cdb9bbc3ce65fe5ada57ab33f7c8b533cb5926b423986c6d8d","abstract_canon_sha256":"b49091783373f15c2aaed2528721053c959871092604da9b6051ad71fa16a67f"},"schema_version":"1.0"},"canonical_sha256":"aeab476ec12e466147d9be305ff3e22e277c89ceea9e5c3db231a1f67dee8cf4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:29:20.098982Z","signature_b64":"K+BobC04bjtCg2PZJbOZYzU7qer6sWWc9fYWUIcjecfCB8r/w4SwddCmItCGL6IyKVcZczjUACD+R+3NVBvRDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aeab476ec12e466147d9be305ff3e22e277c89ceea9e5c3db231a1f67dee8cf4","last_reissued_at":"2026-07-05T07:29:20.098467Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:29:20.098467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.00551","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:29:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PA5BlXbl9qE7K5uUZv+uiVKeB4bQTwtJuPMC4nVk842Bj08Tnn2PlPybVmnXqeUtEcrNWVYnv5cwwSjtK4TsBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:32:55.965843Z"},"content_sha256":"7a75c2e9d67ffa580fe119a872b5b8461dd9c9f2ba350fb938dcc7bbeca43f38","schema_version":"1.0","event_id":"sha256:7a75c2e9d67ffa580fe119a872b5b8461dd9c9f2ba350fb938dcc7bbeca43f38"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:V2VUO3WBFZDGCR6ZXYYF747CFY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Generalist FaceX via Learning Unified Facial Representation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chengjie Wang, Jiangning Zhang, Junwei Zhu, Wei Li, Xiangtai Li, Xiaoming Liu, Yanhao Ge, Ying Tai, Yong Liu, Yue Han","submitted_at":"2023-12-31T17:41:48Z","abstract_excerpt":"This work presents FaceX framework, a novel facial generalist model capable of handling diverse facial tasks simultaneously. To achieve this goal, we initially formulate a unified facial representation for a broad spectrum of facial editing tasks, which macroscopically decomposes a face into fundamental identity, intra-personal variation, and environmental factors. Based on this, we introduce Facial Omni-Representation Decomposing (FORD) for seamless manipulation of various facial components, microscopically decomposing the core aspects of most facial editing tasks. Furthermore, by leveraging "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00551","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2401.00551/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:29:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L/fmwN/JfmZ4NWXJ5T8rVjAfBUOZ9UCMl95pWyctHvbxzwi+/zzePjxeXRUFodNtU/e0ZwPGhXmTKY64q1rSBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:32:55.966791Z"},"content_sha256":"3fbef5246b8fcf5b6ae83c042d5ad169e8b141d4fa9660a1a2f5c7f469d5c7ef","schema_version":"1.0","event_id":"sha256:3fbef5246b8fcf5b6ae83c042d5ad169e8b141d4fa9660a1a2f5c7f469d5c7ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V2VUO3WBFZDGCR6ZXYYF747CFY/bundle.json","state_url":"https://pith.science/pith/V2VUO3WBFZDGCR6ZXYYF747CFY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V2VUO3WBFZDGCR6ZXYYF747CFY/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T18:32:55Z","links":{"resolver":"https://pith.science/pith/V2VUO3WBFZDGCR6ZXYYF747CFY","bundle":"https://pith.science/pith/V2VUO3WBFZDGCR6ZXYYF747CFY/bundle.json","state":"https://pith.science/pith/V2VUO3WBFZDGCR6ZXYYF747CFY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V2VUO3WBFZDGCR6ZXYYF747CFY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:V2VUO3WBFZDGCR6ZXYYF747CFY","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":"b49091783373f15c2aaed2528721053c959871092604da9b6051ad71fa16a67f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-31T17:41:48Z","title_canon_sha256":"26fd821193fdf5cdb9bbc3ce65fe5ada57ab33f7c8b533cb5926b423986c6d8d"},"schema_version":"1.0","source":{"id":"2401.00551","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.00551","created_at":"2026-07-05T07:29:20Z"},{"alias_kind":"arxiv_version","alias_value":"2401.00551v1","created_at":"2026-07-05T07:29:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00551","created_at":"2026-07-05T07:29:20Z"},{"alias_kind":"pith_short_12","alias_value":"V2VUO3WBFZDG","created_at":"2026-07-05T07:29:20Z"},{"alias_kind":"pith_short_16","alias_value":"V2VUO3WBFZDGCR6Z","created_at":"2026-07-05T07:29:20Z"},{"alias_kind":"pith_short_8","alias_value":"V2VUO3WB","created_at":"2026-07-05T07:29:20Z"}],"graph_snapshots":[{"event_id":"sha256:3fbef5246b8fcf5b6ae83c042d5ad169e8b141d4fa9660a1a2f5c7f469d5c7ef","target":"graph","created_at":"2026-07-05T07:29:20Z","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/2401.00551/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work presents FaceX framework, a novel facial generalist model capable of handling diverse facial tasks simultaneously. To achieve this goal, we initially formulate a unified facial representation for a broad spectrum of facial editing tasks, which macroscopically decomposes a face into fundamental identity, intra-personal variation, and environmental factors. Based on this, we introduce Facial Omni-Representation Decomposing (FORD) for seamless manipulation of various facial components, microscopically decomposing the core aspects of most facial editing tasks. Furthermore, by leveraging ","authors_text":"Chengjie Wang, Jiangning Zhang, Junwei Zhu, Wei Li, Xiangtai Li, Xiaoming Liu, Yanhao Ge, Ying Tai, Yong Liu, Yue Han","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-31T17:41:48Z","title":"A Generalist FaceX via Learning Unified Facial Representation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00551","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":"sha256:7a75c2e9d67ffa580fe119a872b5b8461dd9c9f2ba350fb938dcc7bbeca43f38","target":"record","created_at":"2026-07-05T07:29:20Z","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":"b49091783373f15c2aaed2528721053c959871092604da9b6051ad71fa16a67f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-31T17:41:48Z","title_canon_sha256":"26fd821193fdf5cdb9bbc3ce65fe5ada57ab33f7c8b533cb5926b423986c6d8d"},"schema_version":"1.0","source":{"id":"2401.00551","kind":"arxiv","version":1}},"canonical_sha256":"aeab476ec12e466147d9be305ff3e22e277c89ceea9e5c3db231a1f67dee8cf4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aeab476ec12e466147d9be305ff3e22e277c89ceea9e5c3db231a1f67dee8cf4","first_computed_at":"2026-07-05T07:29:20.098467Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:29:20.098467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K+BobC04bjtCg2PZJbOZYzU7qer6sWWc9fYWUIcjecfCB8r/w4SwddCmItCGL6IyKVcZczjUACD+R+3NVBvRDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:29:20.098982Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.00551","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a75c2e9d67ffa580fe119a872b5b8461dd9c9f2ba350fb938dcc7bbeca43f38","sha256:3fbef5246b8fcf5b6ae83c042d5ad169e8b141d4fa9660a1a2f5c7f469d5c7ef"],"state_sha256":"6ffceeadc25c8d3e88c8881ce5e8656fd766b81c7418982f3be63141e69d1a57"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xKT/TGSZMbf1W5hFc5GEiYMOgY/vVCThQZi6Z68qFmr9mG892l5HMeiC7s/Be1aShqVHoqoElJLQGdM88Hl1AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T18:32:55.977253Z","bundle_sha256":"e5ea99de3df9b2bee16f530143a14fd816fa62a626af82c1ee843cb31a0c6c4b"}}