{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NAO3QES5K5S42DVFAXBDK2QY2W","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":"604856489064d3f56c326522c553daa2074fd0a2e89c2e5eefbac16dcc126d3a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-03T17:55:14Z","title_canon_sha256":"4de4623b38eba6023c7463ae918f732c6e2e398fc6c48039292f8fc4fbd0010f"},"schema_version":"1.0","source":{"id":"2304.01186","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.01186","created_at":"2026-07-05T07:29:38Z"},{"alias_kind":"arxiv_version","alias_value":"2304.01186v2","created_at":"2026-07-05T07:29:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.01186","created_at":"2026-07-05T07:29:38Z"},{"alias_kind":"pith_short_12","alias_value":"NAO3QES5K5S4","created_at":"2026-07-05T07:29:38Z"},{"alias_kind":"pith_short_16","alias_value":"NAO3QES5K5S42DVF","created_at":"2026-07-05T07:29:38Z"},{"alias_kind":"pith_short_8","alias_value":"NAO3QES5","created_at":"2026-07-05T07:29:38Z"}],"graph_snapshots":[{"event_id":"sha256:e0e1dfabee64bc581bd5ff7c3eca027824addacd31e4fd0a55dbae209c62f33a","target":"graph","created_at":"2026-07-05T07:29:38Z","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/2304.01186/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generating text-editable and pose-controllable character videos have an imperious demand in creating various digital human. Nevertheless, this task has been restricted by the absence of a comprehensive dataset featuring paired video-pose captions and the generative prior models for videos. In this work, we design a novel two-stage training scheme that can utilize easily obtained datasets (i.e.,image pose pair and pose-free video) and the pre-trained text-to-image (T2I) model to obtain the pose-controllable character videos. Specifically, in the first stage, only the keypoint-image pairs are us","authors_text":"Qifeng Chen, Siran Chen, Xiaodong Cun, Xintao Wang, Xiu Li, Yingqing He, Ying Shan, Yue Ma","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-03T17:55:14Z","title":"Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.01186","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:b533df4c9896e42a8a3a47971d9febbe56bcdb0cd0b9f667ef8035e210d255f4","target":"record","created_at":"2026-07-05T07:29:38Z","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":"604856489064d3f56c326522c553daa2074fd0a2e89c2e5eefbac16dcc126d3a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-03T17:55:14Z","title_canon_sha256":"4de4623b38eba6023c7463ae918f732c6e2e398fc6c48039292f8fc4fbd0010f"},"schema_version":"1.0","source":{"id":"2304.01186","kind":"arxiv","version":2}},"canonical_sha256":"681db8125d5765cd0ea505c2356a18d5adef9552e8da07dcf25c3f8f115943c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"681db8125d5765cd0ea505c2356a18d5adef9552e8da07dcf25c3f8f115943c4","first_computed_at":"2026-07-05T07:29:38.290720Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:29:38.290720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xePJnZkVHlJ6c3IGd0VHpBwnP2dAFVNxHeQTExBfzweZJqc7SbG1C3bm4E6d6TRKj/GM6rpFiduzZVocCOOcAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:29:38.291164Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.01186","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b533df4c9896e42a8a3a47971d9febbe56bcdb0cd0b9f667ef8035e210d255f4","sha256:e0e1dfabee64bc581bd5ff7c3eca027824addacd31e4fd0a55dbae209c62f33a"],"state_sha256":"c88ac3a7c1cb4a195cb30065ebe715032bf5685c3cb3fc93971e534a9a0ca463"}