{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JFPQQTMRIZJSN6LXSFRCIXOL27","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":"13f664af49a6bdd441081ba72bffb189c818c71fea193be33f199f98d52a3b42","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-12T20:41:53Z","title_canon_sha256":"921e6d017a7f1bede2c16ca1cf0d9b1b0890bd85979688c086414cfed9e7ff79"},"schema_version":"1.0","source":{"id":"2504.11478","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.11478","created_at":"2026-07-05T10:51:37Z"},{"alias_kind":"arxiv_version","alias_value":"2504.11478v2","created_at":"2026-07-05T10:51:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.11478","created_at":"2026-07-05T10:51:37Z"},{"alias_kind":"pith_short_12","alias_value":"JFPQQTMRIZJS","created_at":"2026-07-05T10:51:37Z"},{"alias_kind":"pith_short_16","alias_value":"JFPQQTMRIZJSN6LX","created_at":"2026-07-05T10:51:37Z"},{"alias_kind":"pith_short_8","alias_value":"JFPQQTMR","created_at":"2026-07-05T10:51:37Z"}],"graph_snapshots":[{"event_id":"sha256:10aa4d2ddc7264b29492263caab7b3e4310d32f2d912008fae1240c7c48fcc68","target":"graph","created_at":"2026-07-05T10:51:37Z","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/2504.11478/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a simple yet effective zero-shot framework for subject-driven image generation using a vanilla Flux model. By framing the task as grid-based image completion and simply replicating the subject image(s) in a mosaic layout, we activate strong identity-preserving capabilities without any additional data, training, or inference-time fine-tuning. This \"free lunch\" approach is further strengthened by a novel cascade attention design and meta prompting technique, boosting fidelity and versatility. Experimental results show that our method outperforms baselines across multiple key metrics i","authors_text":"Hao Kang, Liming Jiang, Min Jin Chong, Qing Yan, Stathi Fotiadis, Xin Lu, Yumin Jia, Zichuan Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-12T20:41:53Z","title":"Flux Already Knows -- Activating Subject-Driven Image Generation without Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.11478","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:afdd3832df172041cacfb42b3560f99f08f0e77ffbc85a38f06ce78ad0f3cd12","target":"record","created_at":"2026-07-05T10:51:37Z","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":"13f664af49a6bdd441081ba72bffb189c818c71fea193be33f199f98d52a3b42","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-12T20:41:53Z","title_canon_sha256":"921e6d017a7f1bede2c16ca1cf0d9b1b0890bd85979688c086414cfed9e7ff79"},"schema_version":"1.0","source":{"id":"2504.11478","kind":"arxiv","version":2}},"canonical_sha256":"495f084d91465326f9779162245dcbd7d93e1b40c8bf9d6e4f18aea007476f25","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"495f084d91465326f9779162245dcbd7d93e1b40c8bf9d6e4f18aea007476f25","first_computed_at":"2026-07-05T10:51:37.417812Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:51:37.417812Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KleZbD1P8toqJIX9Fm8F7OQ72YXfnmTaetmtivnxuKJCr4oh4TjJKRYRZfOoAJmWkhPC1ojdRGNZk2VfRRTnCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:51:37.418308Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.11478","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:afdd3832df172041cacfb42b3560f99f08f0e77ffbc85a38f06ce78ad0f3cd12","sha256:10aa4d2ddc7264b29492263caab7b3e4310d32f2d912008fae1240c7c48fcc68"],"state_sha256":"a992ac70b8d653af3fa6ed7ed81166d94039d4bb43584234708308a55afce86e"}