{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CC6VPKJBRMSMLPHOZL63JHBJ3P","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":"1d89179b7c2a672e3157f0a08b73ebe9d31969353c9d1d18b72fb04c6471ac73","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T08:05:13Z","title_canon_sha256":"a8d3c147c930cd6dbfc82966fe44f14ec1bd0c7794edad3764a6e6afc368c71d"},"schema_version":"1.0","source":{"id":"2412.15646","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15646","created_at":"2026-07-05T09:53:09Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15646v2","created_at":"2026-07-05T09:53:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15646","created_at":"2026-07-05T09:53:09Z"},{"alias_kind":"pith_short_12","alias_value":"CC6VPKJBRMSM","created_at":"2026-07-05T09:53:09Z"},{"alias_kind":"pith_short_16","alias_value":"CC6VPKJBRMSMLPHO","created_at":"2026-07-05T09:53:09Z"},{"alias_kind":"pith_short_8","alias_value":"CC6VPKJB","created_at":"2026-07-05T09:53:09Z"}],"graph_snapshots":[{"event_id":"sha256:6a47a12b02f910130ad67fba7ceef35a3930f58ab16eef3b9959814edf17ae41","target":"graph","created_at":"2026-07-05T09:53:09Z","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/2412.15646/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Benefiting from large-scale pre-training of text-video pairs, current text-to-video (T2V) diffusion models can generate high-quality videos from the text description. Besides, given some reference images or videos, the parameter-efficient fine-tuning method, i.e. LoRA, can generate high-quality customized concepts, e.g., the specific subject or the motions from a reference video. However, combining the trained multiple concepts from different references into a single network shows obvious artifacts. To this end, we propose CustomTTT, where we can joint custom the appearance and the motion of t","authors_text":"Bin Xiao, Bo Liu, Jian Lu, Weisheng Li, Xiaodong Cun, Xiuli Bi, Yong Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T08:05:13Z","title":"CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15646","kind":"arxiv","version":2},"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":"sha256:42d72d0657ccb7a8b618576fbc5aa6d4787a602043d38e6a83e71847c54c7ca0","target":"record","created_at":"2026-07-05T09:53:09Z","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":"1d89179b7c2a672e3157f0a08b73ebe9d31969353c9d1d18b72fb04c6471ac73","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T08:05:13Z","title_canon_sha256":"a8d3c147c930cd6dbfc82966fe44f14ec1bd0c7794edad3764a6e6afc368c71d"},"schema_version":"1.0","source":{"id":"2412.15646","kind":"arxiv","version":2}},"canonical_sha256":"10bd57a9218b24c5bceecafdb49c29dbe388e4e89d82466a4aec793f8383eb53","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10bd57a9218b24c5bceecafdb49c29dbe388e4e89d82466a4aec793f8383eb53","first_computed_at":"2026-07-05T09:53:09.722351Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:53:09.722351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d2o25E19FUsw+ISTqEBJvRwjMGXZAgIwQtb7V1qTvYgBiPzd7Gdui5HGmyJHWyByAmPj8Uy/tvrgYGFhtD/2Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:53:09.722838Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.15646","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:42d72d0657ccb7a8b618576fbc5aa6d4787a602043d38e6a83e71847c54c7ca0","sha256:6a47a12b02f910130ad67fba7ceef35a3930f58ab16eef3b9959814edf17ae41"],"state_sha256":"337de0211791b2e6b82ddcb0a69f70099a075432bbd27b3520c69c7bbe7bd16f"}