{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:D34R7XKFLMSMBNSNVGZS4ZNXS6","short_pith_number":"pith:D34R7XKF","canonical_record":{"source":{"id":"2304.02530","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-05T15:51:44Z","cross_cats_sorted":[],"title_canon_sha256":"1b2a602ad6ddfc01cfc4727ae4f1a26e13472ee5da4f0e41e26a79fd36436caf","abstract_canon_sha256":"983782f4e3635c4b79b38d7971b2537ef89bbbedd22bb1c1fa0d21747da89f95"},"schema_version":"1.0"},"canonical_sha256":"1ef91fdd455b24c0b64da9b32e65b797b1ab0bb03bcc3a123d2e63840083fad4","source":{"kind":"arxiv","id":"2304.02530","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.02530","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"arxiv_version","alias_value":"2304.02530v1","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.02530","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"pith_short_12","alias_value":"D34R7XKFLMSM","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"pith_short_16","alias_value":"D34R7XKFLMSMBNSN","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"pith_short_8","alias_value":"D34R7XKF","created_at":"2026-07-05T05:58:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:D34R7XKFLMSMBNSNVGZS4ZNXS6","target":"record","payload":{"canonical_record":{"source":{"id":"2304.02530","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-05T15:51:44Z","cross_cats_sorted":[],"title_canon_sha256":"1b2a602ad6ddfc01cfc4727ae4f1a26e13472ee5da4f0e41e26a79fd36436caf","abstract_canon_sha256":"983782f4e3635c4b79b38d7971b2537ef89bbbedd22bb1c1fa0d21747da89f95"},"schema_version":"1.0"},"canonical_sha256":"1ef91fdd455b24c0b64da9b32e65b797b1ab0bb03bcc3a123d2e63840083fad4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:58:26.576671Z","signature_b64":"Fo8tCOQcFw511Q61V+VNGZ3bZ6HdfqzTMjt+0YpVqzeuCgYXiUXqugToCyY1+bh7VAysLG1v4eX3cduusNuBCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ef91fdd455b24c0b64da9b32e65b797b1ab0bb03bcc3a123d2e63840083fad4","last_reissued_at":"2026-07-05T05:58:26.576203Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:58:26.576203Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.02530","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":"2026-07-05T05:58:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0EkgOxIqlWTNbawyrD1Nqd7Ttxq5o6tP9d7OpkIr7k/Fswmoq73xfLhfyaWpnjZ/QCVLTpg3KjcmhQbRYxIyAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:38:33.885349Z"},"content_sha256":"2c364928d19c7f42b4b93289fb245ba7b263ee2bf137d38dd86902a5d5255663","schema_version":"1.0","event_id":"sha256:2c364928d19c7f42b4b93289fb245ba7b263ee2bf137d38dd86902a5d5255663"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:D34R7XKFLMSMBNSNVGZS4ZNXS6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Face Transformer: Towards High Fidelity and Accurate Face Swapping","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fangneng Zhan, Kaiwen Cui, Rongliang Wu, Shijian Lu","submitted_at":"2023-04-05T15:51:44Z","abstract_excerpt":"Face swapping aims to generate swapped images that fuse the identity of source faces and the attributes of target faces. Most existing works address this challenging task through 3D modelling or generation using generative adversarial networks (GANs), but 3D modelling suffers from limited reconstruction accuracy and GANs often struggle in preserving subtle yet important identity details of source faces (e.g., skin colors, face features) and structural attributes of target faces (e.g., face shapes, facial expressions). This paper presents Face Transformer, a novel face swapping network that can"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.02530","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/2304.02530/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":"2026-07-05T05:58:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+byPlX1qLbaVHefJLPG+KFxpiwlSxg+AWK+vLnjJ3f5SIXh9k+jt/WwjH/8NWZrl6RXJdp1EjpaK193oZO2YCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:38:33.886027Z"},"content_sha256":"05d574b16f51d7a38bd6dcd312b29b1bc089f7bf5bdd5a13f89ba8ba4f5ee572","schema_version":"1.0","event_id":"sha256:05d574b16f51d7a38bd6dcd312b29b1bc089f7bf5bdd5a13f89ba8ba4f5ee572"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D34R7XKFLMSMBNSNVGZS4ZNXS6/bundle.json","state_url":"https://pith.science/pith/D34R7XKFLMSMBNSNVGZS4ZNXS6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D34R7XKFLMSMBNSNVGZS4ZNXS6/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":"2026-07-07T07:38:33Z","links":{"resolver":"https://pith.science/pith/D34R7XKFLMSMBNSNVGZS4ZNXS6","bundle":"https://pith.science/pith/D34R7XKFLMSMBNSNVGZS4ZNXS6/bundle.json","state":"https://pith.science/pith/D34R7XKFLMSMBNSNVGZS4ZNXS6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D34R7XKFLMSMBNSNVGZS4ZNXS6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:D34R7XKFLMSMBNSNVGZS4ZNXS6","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":"983782f4e3635c4b79b38d7971b2537ef89bbbedd22bb1c1fa0d21747da89f95","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-05T15:51:44Z","title_canon_sha256":"1b2a602ad6ddfc01cfc4727ae4f1a26e13472ee5da4f0e41e26a79fd36436caf"},"schema_version":"1.0","source":{"id":"2304.02530","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.02530","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"arxiv_version","alias_value":"2304.02530v1","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.02530","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"pith_short_12","alias_value":"D34R7XKFLMSM","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"pith_short_16","alias_value":"D34R7XKFLMSMBNSN","created_at":"2026-07-05T05:58:26Z"},{"alias_kind":"pith_short_8","alias_value":"D34R7XKF","created_at":"2026-07-05T05:58:26Z"}],"graph_snapshots":[{"event_id":"sha256:05d574b16f51d7a38bd6dcd312b29b1bc089f7bf5bdd5a13f89ba8ba4f5ee572","target":"graph","created_at":"2026-07-05T05:58:26Z","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/2304.02530/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Face swapping aims to generate swapped images that fuse the identity of source faces and the attributes of target faces. Most existing works address this challenging task through 3D modelling or generation using generative adversarial networks (GANs), but 3D modelling suffers from limited reconstruction accuracy and GANs often struggle in preserving subtle yet important identity details of source faces (e.g., skin colors, face features) and structural attributes of target faces (e.g., face shapes, facial expressions). This paper presents Face Transformer, a novel face swapping network that can","authors_text":"Fangneng Zhan, Kaiwen Cui, Rongliang Wu, Shijian Lu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-05T15:51:44Z","title":"Face Transformer: Towards High Fidelity and Accurate Face Swapping"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.02530","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":"sha256:2c364928d19c7f42b4b93289fb245ba7b263ee2bf137d38dd86902a5d5255663","target":"record","created_at":"2026-07-05T05:58:26Z","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":"983782f4e3635c4b79b38d7971b2537ef89bbbedd22bb1c1fa0d21747da89f95","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-05T15:51:44Z","title_canon_sha256":"1b2a602ad6ddfc01cfc4727ae4f1a26e13472ee5da4f0e41e26a79fd36436caf"},"schema_version":"1.0","source":{"id":"2304.02530","kind":"arxiv","version":1}},"canonical_sha256":"1ef91fdd455b24c0b64da9b32e65b797b1ab0bb03bcc3a123d2e63840083fad4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1ef91fdd455b24c0b64da9b32e65b797b1ab0bb03bcc3a123d2e63840083fad4","first_computed_at":"2026-07-05T05:58:26.576203Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:58:26.576203Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Fo8tCOQcFw511Q61V+VNGZ3bZ6HdfqzTMjt+0YpVqzeuCgYXiUXqugToCyY1+bh7VAysLG1v4eX3cduusNuBCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:58:26.576671Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.02530","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2c364928d19c7f42b4b93289fb245ba7b263ee2bf137d38dd86902a5d5255663","sha256:05d574b16f51d7a38bd6dcd312b29b1bc089f7bf5bdd5a13f89ba8ba4f5ee572"],"state_sha256":"6f72640e81e3ac168b69d1bb3c4ed76ad2a8a6f14f53cc446a34796461555505"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j+BjypiY6KZjlVqiftX+qsgaExwwzP7aK+Os0m4yxFO83O6QEGnmCqGM8upf9Cq9mA1LqDujN0lT4Jxh+mCNAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:38:33.890016Z","bundle_sha256":"66ba0bf348e135c219be613034daf73ae821cf9b8d2c7439f6db5a704ab88ffd"}}