{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:N6XP6HRXBUAZLOSYWFJM5Y6SLS","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":"7a86b6ed1be5ce27532cc436501c41e0a7331c7b39f93e3b646cfc229fd69700","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T06:01:13Z","title_canon_sha256":"1dfa140f24100da0dd07f854ec69cb86ec7affa33bd58d7d464a02af03b42a70"},"schema_version":"1.0","source":{"id":"2405.14201","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14201","created_at":"2026-07-05T08:23:23Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14201v2","created_at":"2026-07-05T08:23:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14201","created_at":"2026-07-05T08:23:23Z"},{"alias_kind":"pith_short_12","alias_value":"N6XP6HRXBUAZ","created_at":"2026-07-05T08:23:23Z"},{"alias_kind":"pith_short_16","alias_value":"N6XP6HRXBUAZLOSY","created_at":"2026-07-05T08:23:23Z"},{"alias_kind":"pith_short_8","alias_value":"N6XP6HRX","created_at":"2026-07-05T08:23:23Z"}],"graph_snapshots":[{"event_id":"sha256:cdfc87daa5f2aeb27ac7ca6a4daa7a4ac47f7087ca02dd7b3e94505885053dd0","target":"graph","created_at":"2026-07-05T08:23:23Z","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/2405.14201/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the advance of diffusion models, various personalized image generation methods have been proposed. However, almost all existing work only focuses on either subject-driven or style-driven personalization. Meanwhile, state-of-the-art methods face several challenges in realizing compositional personalization, i.e., composing different subject and style concepts, such as concept disentanglement, unified reconstruction paradigm, and insufficient training data. To address these issues, we introduce FreeTuner, a flexible and training-free method for compositional personalization that can generat","authors_text":"Jun Xiao, Long Chen, Wei Liu, Youcan Xu, Zhen Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T06:01:13Z","title":"FreeTuner: Any Subject in Any Style with Training-free Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14201","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":"sha256:8d3e25f56d0a6e4eea07059c30768baee3b2b0d7ec577445236e9138f53636d2","target":"record","created_at":"2026-07-05T08:23:23Z","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":"7a86b6ed1be5ce27532cc436501c41e0a7331c7b39f93e3b646cfc229fd69700","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T06:01:13Z","title_canon_sha256":"1dfa140f24100da0dd07f854ec69cb86ec7affa33bd58d7d464a02af03b42a70"},"schema_version":"1.0","source":{"id":"2405.14201","kind":"arxiv","version":2}},"canonical_sha256":"6faeff1e370d0195ba58b152cee3d25c8f69a6f3cdbb4a8423ef7d1f3ad1a76d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6faeff1e370d0195ba58b152cee3d25c8f69a6f3cdbb4a8423ef7d1f3ad1a76d","first_computed_at":"2026-07-05T08:23:23.899084Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:23.899084Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QZipei25oupM9nhMopMCeoGHkirqfI1gqVEIfAL/IG7ufeBuqOkacSBywumSCUYu1k/prR1wW6o9qdp7/xjmAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:23.899569Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.14201","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d3e25f56d0a6e4eea07059c30768baee3b2b0d7ec577445236e9138f53636d2","sha256:cdfc87daa5f2aeb27ac7ca6a4daa7a4ac47f7087ca02dd7b3e94505885053dd0"],"state_sha256":"1982fa29881009f94a25843ded18a6f8a0c1819ce2cc6c89b2c7c142e04fe400"}