{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SE4BUCEHY6W6AF33PCXUOQBBHM","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":"a04718979242c7ff03dd8858f2dbd8aecc9b0e60282501d30b365047407a5277","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-11T12:32:53Z","title_canon_sha256":"cea097fd498725a296d2190f2fe58b61e3af8056885ff3af13da53d73fd67562"},"schema_version":"1.0","source":{"id":"2406.07209","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.07209","created_at":"2026-07-05T10:23:20Z"},{"alias_kind":"arxiv_version","alias_value":"2406.07209v3","created_at":"2026-07-05T10:23:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.07209","created_at":"2026-07-05T10:23:20Z"},{"alias_kind":"pith_short_12","alias_value":"SE4BUCEHY6W6","created_at":"2026-07-05T10:23:20Z"},{"alias_kind":"pith_short_16","alias_value":"SE4BUCEHY6W6AF33","created_at":"2026-07-05T10:23:20Z"},{"alias_kind":"pith_short_8","alias_value":"SE4BUCEH","created_at":"2026-07-05T10:23:20Z"}],"graph_snapshots":[{"event_id":"sha256:c17b8a24ff0bec67cfa562f3d8febd020dd1d73a07b45fc61d68064c7c972d0f","target":"graph","created_at":"2026-07-05T10:23:20Z","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/2406.07209/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in text-to-image generation models have dramatically enhanced the generation of photorealistic images from textual prompts, leading to an increased interest in personalized text-to-image applications, particularly in multi-subject scenarios. However, these advances are hindered by two main challenges: firstly, the need to accurately maintain the details of each referenced subject in accordance with the textual descriptions; and secondly, the difficulty in achieving a cohesive representation of multiple subjects in a single image without introducing inconsistencies. To addre","authors_text":"Hao Jiang, Qihan Huang, Siming Fu, Wanggui He, Xierui Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.07209","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":"sha256:5372cd2b30b5eae21e16dd15357c47a39a5cdcbb2568851796c3d35a244a02b6","target":"record","created_at":"2026-07-05T10:23:20Z","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":"a04718979242c7ff03dd8858f2dbd8aecc9b0e60282501d30b365047407a5277","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-11T12:32:53Z","title_canon_sha256":"cea097fd498725a296d2190f2fe58b61e3af8056885ff3af13da53d73fd67562"},"schema_version":"1.0","source":{"id":"2406.07209","kind":"arxiv","version":3}},"canonical_sha256":"91381a0887c7ade0177b78af4740213b068d050b1b8110a3a720c828e601901e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91381a0887c7ade0177b78af4740213b068d050b1b8110a3a720c828e601901e","first_computed_at":"2026-07-05T10:23:20.050242Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:23:20.050242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+UhbaGLiJmoVAbNAOVEO8vkP6/qkWx7JeW22bCkfVo2vEVCmImdTClmSP8bNR8h7xrOdYYu99fu2NcIkyW5BCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:23:20.050878Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.07209","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5372cd2b30b5eae21e16dd15357c47a39a5cdcbb2568851796c3d35a244a02b6","sha256:c17b8a24ff0bec67cfa562f3d8febd020dd1d73a07b45fc61d68064c7c972d0f"],"state_sha256":"6f5509c92c3211dbc16472fd491921c694d215d5fefd350f2d1726b44cdbeb11"}