{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:O7QYUR2KXAQA35FNL4MQX6SX27","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":"7087d26f110cfd04daf6bb990cb7029c8b56c253f13871818f43aab563ac0c90","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-03T14:51:24Z","title_canon_sha256":"6a352c07abb10efe0cb5c41bc55e1972cefb1e9bbf49e1095293d1612c5b6b8c"},"schema_version":"1.0","source":{"id":"2406.01388","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.01388","created_at":"2026-07-05T11:12:17Z"},{"alias_kind":"arxiv_version","alias_value":"2406.01388v3","created_at":"2026-07-05T11:12:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.01388","created_at":"2026-07-05T11:12:17Z"},{"alias_kind":"pith_short_12","alias_value":"O7QYUR2KXAQA","created_at":"2026-07-05T11:12:17Z"},{"alias_kind":"pith_short_16","alias_value":"O7QYUR2KXAQA35FN","created_at":"2026-07-05T11:12:17Z"},{"alias_kind":"pith_short_8","alias_value":"O7QYUR2K","created_at":"2026-07-05T11:12:17Z"}],"graph_snapshots":[{"event_id":"sha256:3fdf8d700de954d04b6580a8828eadac6b5f7c0ab87b05c2a87ec6edbd6ff09f","target":"graph","created_at":"2026-07-05T11:12:17Z","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/2406.01388/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As cutting-edge Text-to-Image (T2I) generation models already excel at producing remarkable single images, an even more challenging task, i.e., multi-turn interactive image generation begins to attract the attention of related research communities. This task requires models to interact with users over multiple turns to generate a coherent sequence of images. However, since users may switch subjects frequently, current efforts struggle to maintain subject consistency while generating diverse images. To address this issue, we introduce a training-free multi-agent framework called AutoStudio. Aut","authors_text":"Baiqiao Yin, Hanhui Li, Junhao Cheng, Khun Loun Zai, Xiaodan Liang, Xi Lu, Yiqiang Yan, Yuhao Cheng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-03T14:51:24Z","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.01388","kind":"arxiv","version":3},"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":"sha256:56d28fc602104937e0b26e89e3a4c0764a24bfc66c074f03115547875570cdbe","target":"record","created_at":"2026-07-05T11:12:17Z","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":"7087d26f110cfd04daf6bb990cb7029c8b56c253f13871818f43aab563ac0c90","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-03T14:51:24Z","title_canon_sha256":"6a352c07abb10efe0cb5c41bc55e1972cefb1e9bbf49e1095293d1612c5b6b8c"},"schema_version":"1.0","source":{"id":"2406.01388","kind":"arxiv","version":3}},"canonical_sha256":"77e18a474ab8200df4ad5f190bfa57d7fc0c65999495e16dff98d24032a92166","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"77e18a474ab8200df4ad5f190bfa57d7fc0c65999495e16dff98d24032a92166","first_computed_at":"2026-07-05T11:12:17.993779Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:17.993779Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"61ZVLAFQoIAQscYWV1APsSuNbPHEUwdPAZFNPCJHaLOMeR3Wdxxcxht+OJpvxTIteU1T+rODFzfwQDVxokrdDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:17.994262Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.01388","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56d28fc602104937e0b26e89e3a4c0764a24bfc66c074f03115547875570cdbe","sha256:3fdf8d700de954d04b6580a8828eadac6b5f7c0ab87b05c2a87ec6edbd6ff09f"],"state_sha256":"9b6eba9d7107dc417af6b4ea946cb259484c61aa92bb8795fcb6c8fe4cd7ad48"}