{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:PL2KEKCWJXAKRAGDGQRBDWVMVU","short_pith_number":"pith:PL2KEKCW","canonical_record":{"source":{"id":"2503.00740","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-02T05:35:57Z","cross_cats_sorted":[],"title_canon_sha256":"8fe5e9a52a94e1cca87e3453b29dda94a452c67129a660b9eba9d06de35828f0","abstract_canon_sha256":"41ab1e8dc1d4e26b988c5c554993ed49274a64e4ed28ff1aab80fa0c508aed19"},"schema_version":"1.0"},"canonical_sha256":"7af4a228564dc0a880c3342211daacad3aa14df16824c76201aebbda3f03bd44","source":{"kind":"arxiv","id":"2503.00740","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.00740","created_at":"2026-07-05T10:22:28Z"},{"alias_kind":"arxiv_version","alias_value":"2503.00740v1","created_at":"2026-07-05T10:22:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.00740","created_at":"2026-07-05T10:22:28Z"},{"alias_kind":"pith_short_12","alias_value":"PL2KEKCWJXAK","created_at":"2026-07-05T10:22:28Z"},{"alias_kind":"pith_short_16","alias_value":"PL2KEKCWJXAKRAGD","created_at":"2026-07-05T10:22:28Z"},{"alias_kind":"pith_short_8","alias_value":"PL2KEKCW","created_at":"2026-07-05T10:22:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:PL2KEKCWJXAKRAGDGQRBDWVMVU","target":"record","payload":{"canonical_record":{"source":{"id":"2503.00740","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-02T05:35:57Z","cross_cats_sorted":[],"title_canon_sha256":"8fe5e9a52a94e1cca87e3453b29dda94a452c67129a660b9eba9d06de35828f0","abstract_canon_sha256":"41ab1e8dc1d4e26b988c5c554993ed49274a64e4ed28ff1aab80fa0c508aed19"},"schema_version":"1.0"},"canonical_sha256":"7af4a228564dc0a880c3342211daacad3aa14df16824c76201aebbda3f03bd44","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:22:28.470088Z","signature_b64":"kY4XI6uoZJhIAItZa9W7C+cW6x0V+FH0zNEHRTZtMcRsB1/7ROV+FSuZzibC1mbEpMEoI4Ly2xNvx1NtPqgyBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7af4a228564dc0a880c3342211daacad3aa14df16824c76201aebbda3f03bd44","last_reissued_at":"2026-07-05T10:22:28.469542Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:22:28.469542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.00740","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":"2026-07-05T10:22:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zG4Tf/qZnTIr+m0hl/TYwCTCDIRlmqR+bov9IwbPyx/QgjscPfbaKHzELiIn2CYaDMS662qObxWpVlsPWEN/DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T04:02:25.997448Z"},"content_sha256":"b910768b90e82a5fc7644354994603cdcc7db1a2ad5159bf3f21fb8f6702ac93","schema_version":"1.0","event_id":"sha256:b910768b90e82a5fc7644354994603cdcc7db1a2ad5159bf3f21fb8f6702ac93"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:PL2KEKCWJXAKRAGDGQRBDWVMVU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FaceShot: Bring Any Character into Life","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cairong Zhao, Fei Shen, Junyao Gao, Kai Chen, Xin Jiang, Yanan Sun, Zhening Xing","submitted_at":"2025-03-02T05:35:57Z","abstract_excerpt":"In this paper, we present FaceShot, a novel training-free portrait animation framework designed to bring any character into life from any driven video without fine-tuning or retraining. We achieve this by offering precise and robust reposed landmark sequences from an appearance-guided landmark matching module and a coordinate-based landmark retargeting module. Together, these components harness the robust semantic correspondences of latent diffusion models to produce facial motion sequence across a wide range of character types. After that, we input the landmark sequences into a pre-trained la"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.00740","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/2503.00740/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":"2026-07-05T10:22:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UgMu6/DiWOQ/DfUBNDJzWUE09ERgz+ECx44fLwhhCMYlM5uznNi9bhaHfzzdod4NsT58P1kOFuOfod//mGlXBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T04:02:25.997951Z"},"content_sha256":"cd59c39f7f1955ee3390e36c4715348e4e47a38d68504888dc8eea46516e69a4","schema_version":"1.0","event_id":"sha256:cd59c39f7f1955ee3390e36c4715348e4e47a38d68504888dc8eea46516e69a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PL2KEKCWJXAKRAGDGQRBDWVMVU/bundle.json","state_url":"https://pith.science/pith/PL2KEKCWJXAKRAGDGQRBDWVMVU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PL2KEKCWJXAKRAGDGQRBDWVMVU/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":"2026-08-05T04:02:25Z","links":{"resolver":"https://pith.science/pith/PL2KEKCWJXAKRAGDGQRBDWVMVU","bundle":"https://pith.science/pith/PL2KEKCWJXAKRAGDGQRBDWVMVU/bundle.json","state":"https://pith.science/pith/PL2KEKCWJXAKRAGDGQRBDWVMVU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PL2KEKCWJXAKRAGDGQRBDWVMVU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PL2KEKCWJXAKRAGDGQRBDWVMVU","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":"41ab1e8dc1d4e26b988c5c554993ed49274a64e4ed28ff1aab80fa0c508aed19","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-02T05:35:57Z","title_canon_sha256":"8fe5e9a52a94e1cca87e3453b29dda94a452c67129a660b9eba9d06de35828f0"},"schema_version":"1.0","source":{"id":"2503.00740","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.00740","created_at":"2026-07-05T10:22:28Z"},{"alias_kind":"arxiv_version","alias_value":"2503.00740v1","created_at":"2026-07-05T10:22:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.00740","created_at":"2026-07-05T10:22:28Z"},{"alias_kind":"pith_short_12","alias_value":"PL2KEKCWJXAK","created_at":"2026-07-05T10:22:28Z"},{"alias_kind":"pith_short_16","alias_value":"PL2KEKCWJXAKRAGD","created_at":"2026-07-05T10:22:28Z"},{"alias_kind":"pith_short_8","alias_value":"PL2KEKCW","created_at":"2026-07-05T10:22:28Z"}],"graph_snapshots":[{"event_id":"sha256:cd59c39f7f1955ee3390e36c4715348e4e47a38d68504888dc8eea46516e69a4","target":"graph","created_at":"2026-07-05T10:22:28Z","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/2503.00740/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present FaceShot, a novel training-free portrait animation framework designed to bring any character into life from any driven video without fine-tuning or retraining. We achieve this by offering precise and robust reposed landmark sequences from an appearance-guided landmark matching module and a coordinate-based landmark retargeting module. Together, these components harness the robust semantic correspondences of latent diffusion models to produce facial motion sequence across a wide range of character types. After that, we input the landmark sequences into a pre-trained la","authors_text":"Cairong Zhao, Fei Shen, Junyao Gao, Kai Chen, Xin Jiang, Yanan Sun, Zhening Xing","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-02T05:35:57Z","title":"FaceShot: Bring Any Character into Life"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.00740","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:b910768b90e82a5fc7644354994603cdcc7db1a2ad5159bf3f21fb8f6702ac93","target":"record","created_at":"2026-07-05T10:22:28Z","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":"41ab1e8dc1d4e26b988c5c554993ed49274a64e4ed28ff1aab80fa0c508aed19","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-02T05:35:57Z","title_canon_sha256":"8fe5e9a52a94e1cca87e3453b29dda94a452c67129a660b9eba9d06de35828f0"},"schema_version":"1.0","source":{"id":"2503.00740","kind":"arxiv","version":1}},"canonical_sha256":"7af4a228564dc0a880c3342211daacad3aa14df16824c76201aebbda3f03bd44","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7af4a228564dc0a880c3342211daacad3aa14df16824c76201aebbda3f03bd44","first_computed_at":"2026-07-05T10:22:28.469542Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:22:28.469542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kY4XI6uoZJhIAItZa9W7C+cW6x0V+FH0zNEHRTZtMcRsB1/7ROV+FSuZzibC1mbEpMEoI4Ly2xNvx1NtPqgyBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:22:28.470088Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.00740","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b910768b90e82a5fc7644354994603cdcc7db1a2ad5159bf3f21fb8f6702ac93","sha256:cd59c39f7f1955ee3390e36c4715348e4e47a38d68504888dc8eea46516e69a4"],"state_sha256":"fa1013382954c9be97b5bad2e7e906da68bf9893dcd36fd4ee5c17de4b405c6d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6qpXID6Q5KuKWobbTutV0ii2A+rtmlItL8vLj0CI4dtdcgVC5o+tZKJqT4wqJv5MiIAxgWrha9v/tdocKiWTBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T04:02:26.001427Z","bundle_sha256":"a1573768751ebe37445ea0037bd4fa05d7a1f3fad1f449105da7022d39f99f92"}}