{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:C7O3X2F23Y3UOBHUU73BFQP6U7","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":"bd607d11cdbd94505379e1f5766943293f1b8a250d41066adeff82dfeb0b9704","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-02T11:28:37Z","title_canon_sha256":"464722eaa904debfa145307ad49d601ddc528fd1409f44709cb6a7836de74630"},"schema_version":"1.0","source":{"id":"2310.01107","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.01107","created_at":"2026-07-05T07:48:48Z"},{"alias_kind":"arxiv_version","alias_value":"2310.01107v2","created_at":"2026-07-05T07:48:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.01107","created_at":"2026-07-05T07:48:48Z"},{"alias_kind":"pith_short_12","alias_value":"C7O3X2F23Y3U","created_at":"2026-07-05T07:48:48Z"},{"alias_kind":"pith_short_16","alias_value":"C7O3X2F23Y3UOBHU","created_at":"2026-07-05T07:48:48Z"},{"alias_kind":"pith_short_8","alias_value":"C7O3X2F2","created_at":"2026-07-05T07:48:48Z"}],"graph_snapshots":[{"event_id":"sha256:eb0859e56e932b65b448c0102a807158e78c1cf289b3483bb2cdb419f3d4e789","target":"graph","created_at":"2026-07-05T07:48:48Z","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/2310.01107/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent endeavors in video editing have showcased promising results in single-attribute editing or style transfer tasks, either by training text-to-video (T2V) models on text-video data or adopting training-free methods. However, when confronted with the complexities of multi-attribute editing scenarios, they exhibit shortcomings such as omitting or overlooking intended attribute changes, modifying the wrong elements of the input video, and failing to preserve regions of the input video that should remain intact. To address this, here we present a novel grounding-guided video-to-video translati","authors_text":"Hyeonho Jeong, Jong Chul Ye","cross_cats":["cs.AI","cs.LG","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-02T11:28:37Z","title":"Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.01107","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:c5a88c348749bbad35450750d662bf1a2fc8c115850a557ab08196ffb51522a2","target":"record","created_at":"2026-07-05T07:48:48Z","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":"bd607d11cdbd94505379e1f5766943293f1b8a250d41066adeff82dfeb0b9704","cross_cats_sorted":["cs.AI","cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-02T11:28:37Z","title_canon_sha256":"464722eaa904debfa145307ad49d601ddc528fd1409f44709cb6a7836de74630"},"schema_version":"1.0","source":{"id":"2310.01107","kind":"arxiv","version":2}},"canonical_sha256":"17ddbbe8bade374704f4a7f612c1fea7d7f8b7008969ee074294208711a7e470","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"17ddbbe8bade374704f4a7f612c1fea7d7f8b7008969ee074294208711a7e470","first_computed_at":"2026-07-05T07:48:48.567228Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:48:48.567228Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1JaXPTKcE9CjDRtevNaStagwsnXNZYOsGOOQlx9oO5NFCKZJXjwN8/lZUSI61QGnTlAVARVJOKbs3KuF4WgkBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:48:48.567704Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.01107","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c5a88c348749bbad35450750d662bf1a2fc8c115850a557ab08196ffb51522a2","sha256:eb0859e56e932b65b448c0102a807158e78c1cf289b3483bb2cdb419f3d4e789"],"state_sha256":"919d2e87d5c73c658a25795bec8934e570373131610a557182c9edcba63a67ba"}