{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:DRWKH6QLAIG24HUCCRCURH55L4","short_pith_number":"pith:DRWKH6QL","canonical_record":{"source":{"id":"2312.04433","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T16:57:26Z","cross_cats_sorted":[],"title_canon_sha256":"4355a30f23eaf13e866740a2d2c25c5c8b67882c688224ee4b3b0aceb9a131ee","abstract_canon_sha256":"dba02fa53310980f304a96fdbf52dde7997f77e20c24e2692b39afc2688f2e94"},"schema_version":"1.0"},"canonical_sha256":"1c6ca3fa0b020dae1e821445489fbd5f123926ea260ebd9e196c6d998d75f6d2","source":{"kind":"arxiv","id":"2312.04433","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.04433","created_at":"2026-07-05T07:21:34Z"},{"alias_kind":"arxiv_version","alias_value":"2312.04433v1","created_at":"2026-07-05T07:21:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.04433","created_at":"2026-07-05T07:21:34Z"},{"alias_kind":"pith_short_12","alias_value":"DRWKH6QLAIG2","created_at":"2026-07-05T07:21:34Z"},{"alias_kind":"pith_short_16","alias_value":"DRWKH6QLAIG24HUC","created_at":"2026-07-05T07:21:34Z"},{"alias_kind":"pith_short_8","alias_value":"DRWKH6QL","created_at":"2026-07-05T07:21:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:DRWKH6QLAIG24HUCCRCURH55L4","target":"record","payload":{"canonical_record":{"source":{"id":"2312.04433","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T16:57:26Z","cross_cats_sorted":[],"title_canon_sha256":"4355a30f23eaf13e866740a2d2c25c5c8b67882c688224ee4b3b0aceb9a131ee","abstract_canon_sha256":"dba02fa53310980f304a96fdbf52dde7997f77e20c24e2692b39afc2688f2e94"},"schema_version":"1.0"},"canonical_sha256":"1c6ca3fa0b020dae1e821445489fbd5f123926ea260ebd9e196c6d998d75f6d2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:21:34.512626Z","signature_b64":"wuYe/OIKp7E8mgaDKNO6C3QKWLHrM4y8SM63Mu2xgKE3n3k/vK7ZPEI5wnokviaCtexhgKfCHAjiz/lt9AZICA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c6ca3fa0b020dae1e821445489fbd5f123926ea260ebd9e196c6d998d75f6d2","last_reissued_at":"2026-07-05T07:21:34.512112Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:21:34.512112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.04433","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":"2026-07-05T07:21:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JuYTjbSbjA2dCG59SmpFrRDuZT83PSOdBxy61fRmFzyu+uq4/E2JUbkkjiluxTwHe5NtEUxgclU7IJx0FriUDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:51:25.007338Z"},"content_sha256":"a967ebe464fcb34a70e88ead72d5cc7f452d30cb8b1444c97ed17cb1d75664cf","schema_version":"1.0","event_id":"sha256:a967ebe464fcb34a70e88ead72d5cc7f452d30cb8b1444c97ed17cb1d75664cf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:DRWKH6QLAIG24HUCCRCURH55L4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DreamVideo: Composing Your Dream Videos with Customized Subject and Motion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hangjie Yuan, Hongming Shan, Jingren Zhou, Shiwei Zhang, Yingya Zhang, Yujie Wei, Yu Liu, Zhiheng Liu, Zhiwu Qing","submitted_at":"2023-12-07T16:57:26Z","abstract_excerpt":"Customized generation using diffusion models has made impressive progress in image generation, but remains unsatisfactory in the challenging video generation task, as it requires the controllability of both subjects and motions. To that end, we present DreamVideo, a novel approach to generating personalized videos from a few static images of the desired subject and a few videos of target motion. DreamVideo decouples this task into two stages, subject learning and motion learning, by leveraging a pre-trained video diffusion model. The subject learning aims to accurately capture the fine appeara"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.04433","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/2312.04433/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":"2026-07-05T07:21:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ehm5r3idffCCsUh0Jlct7PO9flHHQ5ge2aNfbJaL+FzQnaDzykURMoMkMAhEOxmKYyw7239ITtsqwOgO7b+pCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:51:25.008374Z"},"content_sha256":"d500badf592152ba3e8609ed7dd03edb4ef6c52ca3b4a0e8a0927170f68ffd1a","schema_version":"1.0","event_id":"sha256:d500badf592152ba3e8609ed7dd03edb4ef6c52ca3b4a0e8a0927170f68ffd1a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DRWKH6QLAIG24HUCCRCURH55L4/bundle.json","state_url":"https://pith.science/pith/DRWKH6QLAIG24HUCCRCURH55L4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DRWKH6QLAIG24HUCCRCURH55L4/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":"2026-08-06T15:51:25Z","links":{"resolver":"https://pith.science/pith/DRWKH6QLAIG24HUCCRCURH55L4","bundle":"https://pith.science/pith/DRWKH6QLAIG24HUCCRCURH55L4/bundle.json","state":"https://pith.science/pith/DRWKH6QLAIG24HUCCRCURH55L4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DRWKH6QLAIG24HUCCRCURH55L4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DRWKH6QLAIG24HUCCRCURH55L4","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":"dba02fa53310980f304a96fdbf52dde7997f77e20c24e2692b39afc2688f2e94","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T16:57:26Z","title_canon_sha256":"4355a30f23eaf13e866740a2d2c25c5c8b67882c688224ee4b3b0aceb9a131ee"},"schema_version":"1.0","source":{"id":"2312.04433","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.04433","created_at":"2026-07-05T07:21:34Z"},{"alias_kind":"arxiv_version","alias_value":"2312.04433v1","created_at":"2026-07-05T07:21:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.04433","created_at":"2026-07-05T07:21:34Z"},{"alias_kind":"pith_short_12","alias_value":"DRWKH6QLAIG2","created_at":"2026-07-05T07:21:34Z"},{"alias_kind":"pith_short_16","alias_value":"DRWKH6QLAIG24HUC","created_at":"2026-07-05T07:21:34Z"},{"alias_kind":"pith_short_8","alias_value":"DRWKH6QL","created_at":"2026-07-05T07:21:34Z"}],"graph_snapshots":[{"event_id":"sha256:d500badf592152ba3e8609ed7dd03edb4ef6c52ca3b4a0e8a0927170f68ffd1a","target":"graph","created_at":"2026-07-05T07:21:34Z","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/2312.04433/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Customized generation using diffusion models has made impressive progress in image generation, but remains unsatisfactory in the challenging video generation task, as it requires the controllability of both subjects and motions. To that end, we present DreamVideo, a novel approach to generating personalized videos from a few static images of the desired subject and a few videos of target motion. DreamVideo decouples this task into two stages, subject learning and motion learning, by leveraging a pre-trained video diffusion model. The subject learning aims to accurately capture the fine appeara","authors_text":"Hangjie Yuan, Hongming Shan, Jingren Zhou, Shiwei Zhang, Yingya Zhang, Yujie Wei, Yu Liu, Zhiheng Liu, Zhiwu Qing","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T16:57:26Z","title":"DreamVideo: Composing Your Dream Videos with Customized Subject and Motion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.04433","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:a967ebe464fcb34a70e88ead72d5cc7f452d30cb8b1444c97ed17cb1d75664cf","target":"record","created_at":"2026-07-05T07:21:34Z","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":"dba02fa53310980f304a96fdbf52dde7997f77e20c24e2692b39afc2688f2e94","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-07T16:57:26Z","title_canon_sha256":"4355a30f23eaf13e866740a2d2c25c5c8b67882c688224ee4b3b0aceb9a131ee"},"schema_version":"1.0","source":{"id":"2312.04433","kind":"arxiv","version":1}},"canonical_sha256":"1c6ca3fa0b020dae1e821445489fbd5f123926ea260ebd9e196c6d998d75f6d2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c6ca3fa0b020dae1e821445489fbd5f123926ea260ebd9e196c6d998d75f6d2","first_computed_at":"2026-07-05T07:21:34.512112Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:21:34.512112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wuYe/OIKp7E8mgaDKNO6C3QKWLHrM4y8SM63Mu2xgKE3n3k/vK7ZPEI5wnokviaCtexhgKfCHAjiz/lt9AZICA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:21:34.512626Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.04433","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a967ebe464fcb34a70e88ead72d5cc7f452d30cb8b1444c97ed17cb1d75664cf","sha256:d500badf592152ba3e8609ed7dd03edb4ef6c52ca3b4a0e8a0927170f68ffd1a"],"state_sha256":"4193f7d5b9fc9d19ec84bd50fa5501e90eff6a631f3b35f99ea310913b5e28e9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I8Edv7ZdpJYR+lx1Dsp6YtuMvMtMqdc9K0IZD7ILDnB/uJYXJkSXMepnzDK5Tl52vAg9vKOQztnVOvI01rjKAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T15:51:25.015571Z","bundle_sha256":"5b0ab739f7adacdede925214ac56c38427227dae77f2466c3e7e15f1ea5f3707"}}