{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3ARC7OBY5JZKJJRJS4AC5S3KEK","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":"ae1d25d877f2fdaa4c341bb095dbdc6702dd8a60185b68a4a671cd8144b35988","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-21T04:37:18Z","title_canon_sha256":"8d2560bae42dbdd1a38d5cbe29ea17759b7dc4c6eb622656981f14c665dea63a"},"schema_version":"1.0","source":{"id":"2502.15203","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.15203","created_at":"2026-07-05T11:37:43Z"},{"alias_kind":"arxiv_version","alias_value":"2502.15203v2","created_at":"2026-07-05T11:37:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.15203","created_at":"2026-07-05T11:37:43Z"},{"alias_kind":"pith_short_12","alias_value":"3ARC7OBY5JZK","created_at":"2026-07-05T11:37:43Z"},{"alias_kind":"pith_short_16","alias_value":"3ARC7OBY5JZKJJRJ","created_at":"2026-07-05T11:37:43Z"},{"alias_kind":"pith_short_8","alias_value":"3ARC7OBY","created_at":"2026-07-05T11:37:43Z"}],"graph_snapshots":[{"event_id":"sha256:43c26a22f4527041520fbad5d2c96f572eb42c95dc741829b8c8a8daad290337","target":"graph","created_at":"2026-07-05T11:37:43Z","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/2502.15203/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Integrating multiple personalized concepts into a single image has recently gained attention in text-to-image (T2I) generation. However, existing methods often suffer from performance degradation in complex scenes due to distortions in non-personalized regions and the need for additional fine-tuning, limiting their practicality. To address this issue, we propose FlipConcept, a novel approach that seamlessly integrates multiple personalized concepts into a single image without requiring additional tuning. We introduce guided appearance attention to enhance the visual fidelity of personalized co","authors_text":"Seong-Whan Lee, Sun Eung Kim, Young Beom Woo","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-21T04:37:18Z","title":"FlipConcept: Tuning-Free Multi-Concept Personalization for Text-to-Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.15203","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":"sha256:8f2091cbbb3ac29dbf18f93983812902aedb12914a78b5fd28eb5902147c6adf","target":"record","created_at":"2026-07-05T11:37:43Z","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":"ae1d25d877f2fdaa4c341bb095dbdc6702dd8a60185b68a4a671cd8144b35988","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-21T04:37:18Z","title_canon_sha256":"8d2560bae42dbdd1a38d5cbe29ea17759b7dc4c6eb622656981f14c665dea63a"},"schema_version":"1.0","source":{"id":"2502.15203","kind":"arxiv","version":2}},"canonical_sha256":"d8222fb838ea72a4a62997002ecb6a22bf31326872ae6023862b5ab92a80da94","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d8222fb838ea72a4a62997002ecb6a22bf31326872ae6023862b5ab92a80da94","first_computed_at":"2026-07-05T11:37:43.520450Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:37:43.520450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PoHvtR6TVDMKJOFIADdAhyLYenSZvM7vw6jpwmH8yj42PbLhwIb2L2iknZnpW8dsjZ4m60NdFGAxv7Ta53EFBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:37:43.521037Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.15203","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8f2091cbbb3ac29dbf18f93983812902aedb12914a78b5fd28eb5902147c6adf","sha256:43c26a22f4527041520fbad5d2c96f572eb42c95dc741829b8c8a8daad290337"],"state_sha256":"c77d9852bb22ea040d0a0481839a4032be400611eec25439b6bc29d0ed9d6586"}