{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2BB2NRJPNYW73ROS5ZBG3QWPVF","short_pith_number":"pith:2BB2NRJP","canonical_record":{"source":{"id":"2408.09458","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-18T12:36:47Z","cross_cats_sorted":[],"title_canon_sha256":"16f39bcc944803c160a1e0da9ca7127ee2008337863e3c441e33398e390c3031","abstract_canon_sha256":"e0e7575acea048d66d01bbd76b8dc98d18cfe4ea64a31c15ceba27e7e1634855"},"schema_version":"1.0"},"canonical_sha256":"d043a6c52f6e2dfdc5d2ee426dc2cfa959b96f79fcf7675a40ee02bf0b164328","source":{"kind":"arxiv","id":"2408.09458","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.09458","created_at":"2026-07-05T08:56:32Z"},{"alias_kind":"arxiv_version","alias_value":"2408.09458v1","created_at":"2026-07-05T08:56:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.09458","created_at":"2026-07-05T08:56:32Z"},{"alias_kind":"pith_short_12","alias_value":"2BB2NRJPNYW7","created_at":"2026-07-05T08:56:32Z"},{"alias_kind":"pith_short_16","alias_value":"2BB2NRJPNYW73ROS","created_at":"2026-07-05T08:56:32Z"},{"alias_kind":"pith_short_8","alias_value":"2BB2NRJP","created_at":"2026-07-05T08:56:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2BB2NRJPNYW73ROS5ZBG3QWPVF","target":"record","payload":{"canonical_record":{"source":{"id":"2408.09458","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-18T12:36:47Z","cross_cats_sorted":[],"title_canon_sha256":"16f39bcc944803c160a1e0da9ca7127ee2008337863e3c441e33398e390c3031","abstract_canon_sha256":"e0e7575acea048d66d01bbd76b8dc98d18cfe4ea64a31c15ceba27e7e1634855"},"schema_version":"1.0"},"canonical_sha256":"d043a6c52f6e2dfdc5d2ee426dc2cfa959b96f79fcf7675a40ee02bf0b164328","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:56:32.800810Z","signature_b64":"XOldBw/jB2CDniDLiRqvhI0ThNcQI085C91/ZiFSYs+7gxpg6PpMC//0ArOFwhmbQVupqWBpkgG1otvsCS50Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d043a6c52f6e2dfdc5d2ee426dc2cfa959b96f79fcf7675a40ee02bf0b164328","last_reissued_at":"2026-07-05T08:56:32.800330Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:56:32.800330Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.09458","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":"2026-07-05T08:56:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OlFZ2nvLxxvi3jGSFH3PQKzgK+FD4RBnDmg0zUi+xVVSGQJ7fX2O48yVNQsyFHHVSM87f82Paf3ZYLOcvFJlAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T05:43:44.995028Z"},"content_sha256":"ad001a461b6cc63d233069261da169d4f1dc0fa728eb8f3b04c1a03aa3846bda","schema_version":"1.0","event_id":"sha256:ad001a461b6cc63d233069261da169d4f1dc0fa728eb8f3b04c1a03aa3846bda"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2BB2NRJPNYW73ROS5ZBG3QWPVF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cheng Xu, Haoxin Yang, Huaidong Zhang, Jing Qin, Pheng-Ann Heng, Shengfeng He, Xuemiao Xu, Yi Wang","submitted_at":"2024-08-18T12:36:47Z","abstract_excerpt":"Reversible face anonymization, unlike traditional face pixelization, seeks to replace sensitive identity information in facial images with synthesized alternatives, preserving privacy without sacrificing image clarity. Traditional methods, such as encoder-decoder networks, often result in significant loss of facial details due to their limited learning capacity. Additionally, relying on latent manipulation in pre-trained GANs can lead to changes in ID-irrelevant attributes, adversely affecting data utility due to GAN inversion inaccuracies. This paper introduces G\\textsuperscript{2}Face, which"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.09458","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/2408.09458/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":"2026-07-05T08:56:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pYSL1yo10nhu8YEnU2mSPyJKRaMBJbwkDlwOCaxVUQgD36xs3f4bL/xg1Lkk9ftK07IpawswPi7RKxH3j32aDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T05:43:44.995913Z"},"content_sha256":"ac9de6caff64dbaff59651e33fd21a215b24b8f594b8cffd655ad92ad8345410","schema_version":"1.0","event_id":"sha256:ac9de6caff64dbaff59651e33fd21a215b24b8f594b8cffd655ad92ad8345410"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2BB2NRJPNYW73ROS5ZBG3QWPVF/bundle.json","state_url":"https://pith.science/pith/2BB2NRJPNYW73ROS5ZBG3QWPVF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2BB2NRJPNYW73ROS5ZBG3QWPVF/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":"2026-08-21T05:43:44Z","links":{"resolver":"https://pith.science/pith/2BB2NRJPNYW73ROS5ZBG3QWPVF","bundle":"https://pith.science/pith/2BB2NRJPNYW73ROS5ZBG3QWPVF/bundle.json","state":"https://pith.science/pith/2BB2NRJPNYW73ROS5ZBG3QWPVF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2BB2NRJPNYW73ROS5ZBG3QWPVF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2BB2NRJPNYW73ROS5ZBG3QWPVF","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":"e0e7575acea048d66d01bbd76b8dc98d18cfe4ea64a31c15ceba27e7e1634855","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-18T12:36:47Z","title_canon_sha256":"16f39bcc944803c160a1e0da9ca7127ee2008337863e3c441e33398e390c3031"},"schema_version":"1.0","source":{"id":"2408.09458","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.09458","created_at":"2026-07-05T08:56:32Z"},{"alias_kind":"arxiv_version","alias_value":"2408.09458v1","created_at":"2026-07-05T08:56:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.09458","created_at":"2026-07-05T08:56:32Z"},{"alias_kind":"pith_short_12","alias_value":"2BB2NRJPNYW7","created_at":"2026-07-05T08:56:32Z"},{"alias_kind":"pith_short_16","alias_value":"2BB2NRJPNYW73ROS","created_at":"2026-07-05T08:56:32Z"},{"alias_kind":"pith_short_8","alias_value":"2BB2NRJP","created_at":"2026-07-05T08:56:32Z"}],"graph_snapshots":[{"event_id":"sha256:ac9de6caff64dbaff59651e33fd21a215b24b8f594b8cffd655ad92ad8345410","target":"graph","created_at":"2026-07-05T08:56:32Z","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/2408.09458/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reversible face anonymization, unlike traditional face pixelization, seeks to replace sensitive identity information in facial images with synthesized alternatives, preserving privacy without sacrificing image clarity. Traditional methods, such as encoder-decoder networks, often result in significant loss of facial details due to their limited learning capacity. Additionally, relying on latent manipulation in pre-trained GANs can lead to changes in ID-irrelevant attributes, adversely affecting data utility due to GAN inversion inaccuracies. This paper introduces G\\textsuperscript{2}Face, which","authors_text":"Cheng Xu, Haoxin Yang, Huaidong Zhang, Jing Qin, Pheng-Ann Heng, Shengfeng He, Xuemiao Xu, Yi Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-18T12:36:47Z","title":"G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.09458","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:ad001a461b6cc63d233069261da169d4f1dc0fa728eb8f3b04c1a03aa3846bda","target":"record","created_at":"2026-07-05T08:56:32Z","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":"e0e7575acea048d66d01bbd76b8dc98d18cfe4ea64a31c15ceba27e7e1634855","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-18T12:36:47Z","title_canon_sha256":"16f39bcc944803c160a1e0da9ca7127ee2008337863e3c441e33398e390c3031"},"schema_version":"1.0","source":{"id":"2408.09458","kind":"arxiv","version":1}},"canonical_sha256":"d043a6c52f6e2dfdc5d2ee426dc2cfa959b96f79fcf7675a40ee02bf0b164328","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d043a6c52f6e2dfdc5d2ee426dc2cfa959b96f79fcf7675a40ee02bf0b164328","first_computed_at":"2026-07-05T08:56:32.800330Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:56:32.800330Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XOldBw/jB2CDniDLiRqvhI0ThNcQI085C91/ZiFSYs+7gxpg6PpMC//0ArOFwhmbQVupqWBpkgG1otvsCS50Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:56:32.800810Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.09458","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad001a461b6cc63d233069261da169d4f1dc0fa728eb8f3b04c1a03aa3846bda","sha256:ac9de6caff64dbaff59651e33fd21a215b24b8f594b8cffd655ad92ad8345410"],"state_sha256":"6ca6c27fc940c0083ec869edf322a61898943b35fd36c556b14e5063e7b69441"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K3WoUmOC78qOa6Kbc5e0aRX+dlbh9tdJN1iX2T6lB9mGUNW2TVhJM3/NqO5lK+c9XIehAt8sv58exgZGU6ohCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T05:43:44.998297Z","bundle_sha256":"8dd7caf23b7d814c0d7ba0d5d05961540d7e1a2bf654b286cce71f524bda458b"}}