{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DF6UGGHY525M4UH3WAH4LMRVN3","short_pith_number":"pith:DF6UGGHY","canonical_record":{"source":{"id":"2412.00733","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T08:54:30Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"c61c58dcfb35729853777ac379b0fb845aaf5bfc3cad233fde2ba242a8f36725","abstract_canon_sha256":"756fb6f5a58c64951bf47ad779c904d3c9390850f0a41854cf805b7366e72268"},"schema_version":"1.0"},"canonical_sha256":"197d4318f8eebace50fbb00fc5b2356eca0485333efe18c99680de9f063c548a","source":{"kind":"arxiv","id":"2412.00733","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00733","created_at":"2026-07-05T10:30:27Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00733v4","created_at":"2026-07-05T10:30:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00733","created_at":"2026-07-05T10:30:27Z"},{"alias_kind":"pith_short_12","alias_value":"DF6UGGHY525M","created_at":"2026-07-05T10:30:27Z"},{"alias_kind":"pith_short_16","alias_value":"DF6UGGHY525M4UH3","created_at":"2026-07-05T10:30:27Z"},{"alias_kind":"pith_short_8","alias_value":"DF6UGGHY","created_at":"2026-07-05T10:30:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DF6UGGHY525M4UH3WAH4LMRVN3","target":"record","payload":{"canonical_record":{"source":{"id":"2412.00733","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T08:54:30Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"c61c58dcfb35729853777ac379b0fb845aaf5bfc3cad233fde2ba242a8f36725","abstract_canon_sha256":"756fb6f5a58c64951bf47ad779c904d3c9390850f0a41854cf805b7366e72268"},"schema_version":"1.0"},"canonical_sha256":"197d4318f8eebace50fbb00fc5b2356eca0485333efe18c99680de9f063c548a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:30:27.563869Z","signature_b64":"4pMkHAKGeD7MuhAZZ4eLLbp6m2uO4HDLEvEfUksZOp2w4RV7EqmPrUct6JyWhzY/hdG4AV0EmeNGq9avHYXFAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"197d4318f8eebace50fbb00fc5b2356eca0485333efe18c99680de9f063c548a","last_reissued_at":"2026-07-05T10:30:27.563262Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:30:27.563262Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.00733","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:30:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nBz2zWXicQTjdQq4OP+fRHeYilMh2tctn2cqezhxAbZe/foqzPyit3UdS08FDN1dP5aycgZGevFPAnpN2x2FAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:17:38.573108Z"},"content_sha256":"9af4af4bad62d9efde6015d6be04d1caa492e50ea36890fc6b5b3d8b1b196573","schema_version":"1.0","event_id":"sha256:9af4af4bad62d9efde6015d6be04d1caa492e50ea36890fc6b5b3d8b1b196573"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DF6UGGHY525M4UH3WAH4LMRVN3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Video Diffusion Transformer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Hang Zhou, Hanlin Shang, Hui Li, Jiahao Cui, Jingdong Wang, Kaihui Cheng, Shan Mu, Siyu Zhu, Yun Zhan, Yuqi Ma","submitted_at":"2024-12-01T08:54:30Z","abstract_excerpt":"Existing methodologies for animating portrait images face significant challenges, particularly in handling non-frontal perspectives, rendering dynamic objects around the portrait, and generating immersive, realistic backgrounds. In this paper, we introduce the first application of a pretrained transformer-based video generative model that demonstrates strong generalization capabilities and generates highly dynamic, realistic videos for portrait animation, effectively addressing these challenges. The adoption of a new video backbone model makes previous U-Net-based methods for identity maintena"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00733","kind":"arxiv","version":4},"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/2412.00733/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":"2026-07-05T10:30:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"34QaPs3fmexusoAwGnZcLjYVZW3EFrp6rYNxewHMxYqidQxTJe2R+9Dlc3kN7eervQhs1oH+P2xmwKmiTwCdAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:17:38.574034Z"},"content_sha256":"1238e1983cbfc11f69f3df3593bd7a57dec5a84ced04e4918dfbaf2d3c83e8c1","schema_version":"1.0","event_id":"sha256:1238e1983cbfc11f69f3df3593bd7a57dec5a84ced04e4918dfbaf2d3c83e8c1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DF6UGGHY525M4UH3WAH4LMRVN3/bundle.json","state_url":"https://pith.science/pith/DF6UGGHY525M4UH3WAH4LMRVN3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DF6UGGHY525M4UH3WAH4LMRVN3/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":"2026-08-07T17:17:38Z","links":{"resolver":"https://pith.science/pith/DF6UGGHY525M4UH3WAH4LMRVN3","bundle":"https://pith.science/pith/DF6UGGHY525M4UH3WAH4LMRVN3/bundle.json","state":"https://pith.science/pith/DF6UGGHY525M4UH3WAH4LMRVN3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DF6UGGHY525M4UH3WAH4LMRVN3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DF6UGGHY525M4UH3WAH4LMRVN3","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":"756fb6f5a58c64951bf47ad779c904d3c9390850f0a41854cf805b7366e72268","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T08:54:30Z","title_canon_sha256":"c61c58dcfb35729853777ac379b0fb845aaf5bfc3cad233fde2ba242a8f36725"},"schema_version":"1.0","source":{"id":"2412.00733","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00733","created_at":"2026-07-05T10:30:27Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00733v4","created_at":"2026-07-05T10:30:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00733","created_at":"2026-07-05T10:30:27Z"},{"alias_kind":"pith_short_12","alias_value":"DF6UGGHY525M","created_at":"2026-07-05T10:30:27Z"},{"alias_kind":"pith_short_16","alias_value":"DF6UGGHY525M4UH3","created_at":"2026-07-05T10:30:27Z"},{"alias_kind":"pith_short_8","alias_value":"DF6UGGHY","created_at":"2026-07-05T10:30:27Z"}],"graph_snapshots":[{"event_id":"sha256:1238e1983cbfc11f69f3df3593bd7a57dec5a84ced04e4918dfbaf2d3c83e8c1","target":"graph","created_at":"2026-07-05T10:30:27Z","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/2412.00733/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing methodologies for animating portrait images face significant challenges, particularly in handling non-frontal perspectives, rendering dynamic objects around the portrait, and generating immersive, realistic backgrounds. In this paper, we introduce the first application of a pretrained transformer-based video generative model that demonstrates strong generalization capabilities and generates highly dynamic, realistic videos for portrait animation, effectively addressing these challenges. The adoption of a new video backbone model makes previous U-Net-based methods for identity maintena","authors_text":"Hang Zhou, Hanlin Shang, Hui Li, Jiahao Cui, Jingdong Wang, Kaihui Cheng, Shan Mu, Siyu Zhu, Yun Zhan, Yuqi Ma","cross_cats":["cs.GR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T08:54:30Z","title":"Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Video Diffusion Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00733","kind":"arxiv","version":4},"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":"sha256:9af4af4bad62d9efde6015d6be04d1caa492e50ea36890fc6b5b3d8b1b196573","target":"record","created_at":"2026-07-05T10:30:27Z","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":"756fb6f5a58c64951bf47ad779c904d3c9390850f0a41854cf805b7366e72268","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T08:54:30Z","title_canon_sha256":"c61c58dcfb35729853777ac379b0fb845aaf5bfc3cad233fde2ba242a8f36725"},"schema_version":"1.0","source":{"id":"2412.00733","kind":"arxiv","version":4}},"canonical_sha256":"197d4318f8eebace50fbb00fc5b2356eca0485333efe18c99680de9f063c548a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"197d4318f8eebace50fbb00fc5b2356eca0485333efe18c99680de9f063c548a","first_computed_at":"2026-07-05T10:30:27.563262Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:30:27.563262Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4pMkHAKGeD7MuhAZZ4eLLbp6m2uO4HDLEvEfUksZOp2w4RV7EqmPrUct6JyWhzY/hdG4AV0EmeNGq9avHYXFAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:30:27.563869Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.00733","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9af4af4bad62d9efde6015d6be04d1caa492e50ea36890fc6b5b3d8b1b196573","sha256:1238e1983cbfc11f69f3df3593bd7a57dec5a84ced04e4918dfbaf2d3c83e8c1"],"state_sha256":"31fcd8c77a8b096f9c629ad2336a5e02ac9eed9936edd52e002a0e3f2ccc15b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WBSzi+sjmsyOhSkRpqB/tQLVSrJSoKC/P8GUSvDxEEwI9/m5E+uxAIk2r7l15e9BPMiKYzyfI0w30VAuS9qFDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T17:17:38.580425Z","bundle_sha256":"0a47de35cd74eb11d5a148501a4cb0931b1ea8e7fbbea9195e5bf1c7674f5dc5"}}