{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ZMA7SNRE5RLHHR2GK374RMS6DI","short_pith_number":"pith:ZMA7SNRE","schema_version":"1.0","canonical_sha256":"cb01f93624ec5673c74656ffc8b25e1a3a58f4ca9af3d259dc790dba908294f1","source":{"kind":"arxiv","id":"2403.17064","version":2},"attestation_state":"computed","paper":{"title":"Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Bj\\\"orn Ommer, Felix Krause, Melvin Sevi, Michael Neumayr, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu","submitted_at":"2024-03-25T18:00:42Z","abstract_excerpt":"Recent advances in text-to-image (T2I) diffusion models have significantly improved the quality of generated images. However, providing efficient control over individual subjects, particularly the attributes characterizing them, remains a key challenge. While existing methods have introduced mechanisms to modulate attribute expression, they typically provide either detailed, object-specific localization of such a modification or full-scale fine-grained, nuanced control of attributes. No current approach offers both simultaneously, resulting in a gap when trying to achieve precise continuous an"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2403.17064","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-25T18:00:42Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b364e67e02944be65ef996bc2107976d429f0dadafa8acf85f429c0c6f5d51e6","abstract_canon_sha256":"911a516d97f0beb6fce2c4454eaa367d357899979b6423cf03285efff406e6ef"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:30:53.093850Z","signature_b64":"IgKVKertNWdNYW8INlj1EcQm9iabDO1wc/cqY81PwzvfYOE2pKJ8svrTxlnj3X1bSgBSQfzGEs8DE7BHUpU0Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cb01f93624ec5673c74656ffc8b25e1a3a58f4ca9af3d259dc790dba908294f1","last_reissued_at":"2026-07-05T10:30:53.092657Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:30:53.092657Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Bj\\\"orn Ommer, Felix Krause, Melvin Sevi, Michael Neumayr, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu","submitted_at":"2024-03-25T18:00:42Z","abstract_excerpt":"Recent advances in text-to-image (T2I) diffusion models have significantly improved the quality of generated images. However, providing efficient control over individual subjects, particularly the attributes characterizing them, remains a key challenge. While existing methods have introduced mechanisms to modulate attribute expression, they typically provide either detailed, object-specific localization of such a modification or full-scale fine-grained, nuanced control of attributes. No current approach offers both simultaneously, resulting in a gap when trying to achieve precise continuous an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.17064","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2403.17064/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2403.17064","created_at":"2026-07-05T10:30:53.092806+00:00"},{"alias_kind":"arxiv_version","alias_value":"2403.17064v2","created_at":"2026-07-05T10:30:53.092806+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.17064","created_at":"2026-07-05T10:30:53.092806+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZMA7SNRE5RLH","created_at":"2026-07-05T10:30:53.092806+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZMA7SNRE5RLHHR2G","created_at":"2026-07-05T10:30:53.092806+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZMA7SNRE","created_at":"2026-07-05T10:30:53.092806+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.05313","citing_title":"MARBLE: Material Recomposition and Blending in CLIP-Space","ref_index":4,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZMA7SNRE5RLHHR2GK374RMS6DI","json":"https://pith.science/pith/ZMA7SNRE5RLHHR2GK374RMS6DI.json","graph_json":"https://pith.science/api/pith-number/ZMA7SNRE5RLHHR2GK374RMS6DI/graph.json","events_json":"https://pith.science/api/pith-number/ZMA7SNRE5RLHHR2GK374RMS6DI/events.json","paper":"https://pith.science/paper/ZMA7SNRE"},"agent_actions":{"view_html":"https://pith.science/pith/ZMA7SNRE5RLHHR2GK374RMS6DI","download_json":"https://pith.science/pith/ZMA7SNRE5RLHHR2GK374RMS6DI.json","view_paper":"https://pith.science/paper/ZMA7SNRE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2403.17064&json=true","fetch_graph":"https://pith.science/api/pith-number/ZMA7SNRE5RLHHR2GK374RMS6DI/graph.json","fetch_events":"https://pith.science/api/pith-number/ZMA7SNRE5RLHHR2GK374RMS6DI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZMA7SNRE5RLHHR2GK374RMS6DI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZMA7SNRE5RLHHR2GK374RMS6DI/action/storage_attestation","attest_author":"https://pith.science/pith/ZMA7SNRE5RLHHR2GK374RMS6DI/action/author_attestation","sign_citation":"https://pith.science/pith/ZMA7SNRE5RLHHR2GK374RMS6DI/action/citation_signature","submit_replication":"https://pith.science/pith/ZMA7SNRE5RLHHR2GK374RMS6DI/action/replication_record"}},"created_at":"2026-07-05T10:30:53.092806+00:00","updated_at":"2026-07-05T10:30:53.092806+00:00"}