{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MK2EBWDFOR75K7DGJGWA7RJBB6","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":"2c3ddb9265032263195868e8b51e28f096406c60d18ba5bfd4c611d8fda67476","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-28T18:58:43Z","title_canon_sha256":"bd3db22d422f9a60e85ceed12e6f4ca3cc2fce96a489ba015bca449e148fc4f0"},"schema_version":"1.0","source":{"id":"2403.19776","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.19776","created_at":"2026-07-05T11:45:12Z"},{"alias_kind":"arxiv_version","alias_value":"2403.19776v2","created_at":"2026-07-05T11:45:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.19776","created_at":"2026-07-05T11:45:12Z"},{"alias_kind":"pith_short_12","alias_value":"MK2EBWDFOR75","created_at":"2026-07-05T11:45:12Z"},{"alias_kind":"pith_short_16","alias_value":"MK2EBWDFOR75K7DG","created_at":"2026-07-05T11:45:12Z"},{"alias_kind":"pith_short_8","alias_value":"MK2EBWDF","created_at":"2026-07-05T11:45:12Z"}],"graph_snapshots":[{"event_id":"sha256:f979de7e2ccecfcd0c98556a83e306e62e453eb398b52eff34f6890fede1dd9a","target":"graph","created_at":"2026-07-05T11:45:12Z","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/2403.19776/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Low-Rank Adaptation (LoRA) has emerged as a powerful and popular technique for personalization, enabling efficient adaptation of pre-trained image generation models for specific tasks without comprehensive retraining. While employing individual pre-trained LoRA models excels at representing single concepts, such as those representing a specific dog or a cat, utilizing multiple LoRA models to capture a variety of concepts in a single image still poses a significant challenge. Existing methods often fall short, primarily because the attention mechanisms within different LoRA models overlap, lead","authors_text":"Enis Simsar, Federico Tombari, Pinar Yanardag, Tuna Han Salih Meral","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-28T18:58:43Z","title":"Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.19776","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":"sha256:5ba051399313c3bea8c5e76b25db707f5415dc670cd4a33142998bffee3d68e4","target":"record","created_at":"2026-07-05T11:45:12Z","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":"2c3ddb9265032263195868e8b51e28f096406c60d18ba5bfd4c611d8fda67476","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-28T18:58:43Z","title_canon_sha256":"bd3db22d422f9a60e85ceed12e6f4ca3cc2fce96a489ba015bca449e148fc4f0"},"schema_version":"1.0","source":{"id":"2403.19776","kind":"arxiv","version":2}},"canonical_sha256":"62b440d865747fd57c6649ac0fc5210f8e5d46442070a9dc5b9d174e5a5ca12c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"62b440d865747fd57c6649ac0fc5210f8e5d46442070a9dc5b9d174e5a5ca12c","first_computed_at":"2026-07-05T11:45:12.940743Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:45:12.940743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wWfP7R7MXzMRmyYoY0LlvkDtmmY2/EKDxCHRuXRVC8AhYYxNhd2lyginNSNIX8Ru9A9sm3njyTQHVnPHW++iDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:45:12.941213Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.19776","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5ba051399313c3bea8c5e76b25db707f5415dc670cd4a33142998bffee3d68e4","sha256:f979de7e2ccecfcd0c98556a83e306e62e453eb398b52eff34f6890fede1dd9a"],"state_sha256":"83b6489b6a0054cdbde58bebbf59bfcb006e7973e33d5696ea1b73d970a209ea"}