{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:CCVMA5R3Y5H537Q4GESKJM6AH5","short_pith_number":"pith:CCVMA5R3","schema_version":"1.0","canonical_sha256":"10aac0763bc74fddfe1c3124a4b3c03f552fe837d227083a7d11e04328061180","source":{"kind":"arxiv","id":"2312.00833","version":1},"attestation_state":"computed","paper":{"title":"Lasagna: Layered Score Distillation for Disentangled Object Relighting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Arijit Ray, Dina Bashkirova, Jianming Zhang, Kate Saenko, Ranjay Krishna, Rupayan Mallick, Sarah Adel Bargal","submitted_at":"2023-11-30T22:54:41Z","abstract_excerpt":"Professional artists, photographers, and other visual content creators use object relighting to establish their photo's desired effect. Unfortunately, manual tools that allow relighting have a steep learning curve and are difficult to master. Although generative editing methods now enable some forms of image editing, relighting is still beyond today's capabilities; existing methods struggle to keep other aspects of the image -- colors, shapes, and textures -- consistent after the edit. We propose Lasagna, a method that enables intuitive text-guided relighting control. Lasagna learns a lighting"},"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":"2312.00833","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-30T22:54:41Z","cross_cats_sorted":[],"title_canon_sha256":"33f51258f7409db1d4af60171b895e9f238cda797f6b596499d6c8cf3ec5256f","abstract_canon_sha256":"429ab2bfb7406d99c30b5c8740bc7da79b926be3bc111eda56dd9233083d8b14"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:19:25.335607Z","signature_b64":"D5pgAAHh9pFWPTOjEAM/jHynWBGpX/md1zBMtVTvUlXi+S5fxeJgzS0d6zJ63XNanpIN0f7Akkwo7pJ5MSvGDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"10aac0763bc74fddfe1c3124a4b3c03f552fe837d227083a7d11e04328061180","last_reissued_at":"2026-07-05T07:19:25.335196Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:19:25.335196Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Lasagna: Layered Score Distillation for Disentangled Object Relighting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Arijit Ray, Dina Bashkirova, Jianming Zhang, Kate Saenko, Ranjay Krishna, Rupayan Mallick, Sarah Adel Bargal","submitted_at":"2023-11-30T22:54:41Z","abstract_excerpt":"Professional artists, photographers, and other visual content creators use object relighting to establish their photo's desired effect. Unfortunately, manual tools that allow relighting have a steep learning curve and are difficult to master. Although generative editing methods now enable some forms of image editing, relighting is still beyond today's capabilities; existing methods struggle to keep other aspects of the image -- colors, shapes, and textures -- consistent after the edit. We propose Lasagna, a method that enables intuitive text-guided relighting control. Lasagna learns a lighting"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.00833","kind":"arxiv","version":1},"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/2312.00833/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":"2312.00833","created_at":"2026-07-05T07:19:25.335257+00:00"},{"alias_kind":"arxiv_version","alias_value":"2312.00833v1","created_at":"2026-07-05T07:19:25.335257+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.00833","created_at":"2026-07-05T07:19:25.335257+00:00"},{"alias_kind":"pith_short_12","alias_value":"CCVMA5R3Y5H5","created_at":"2026-07-05T07:19:25.335257+00:00"},{"alias_kind":"pith_short_16","alias_value":"CCVMA5R3Y5H537Q4","created_at":"2026-07-05T07:19:25.335257+00:00"},{"alias_kind":"pith_short_8","alias_value":"CCVMA5R3","created_at":"2026-07-05T07:19:25.335257+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CCVMA5R3Y5H537Q4GESKJM6AH5","json":"https://pith.science/pith/CCVMA5R3Y5H537Q4GESKJM6AH5.json","graph_json":"https://pith.science/api/pith-number/CCVMA5R3Y5H537Q4GESKJM6AH5/graph.json","events_json":"https://pith.science/api/pith-number/CCVMA5R3Y5H537Q4GESKJM6AH5/events.json","paper":"https://pith.science/paper/CCVMA5R3"},"agent_actions":{"view_html":"https://pith.science/pith/CCVMA5R3Y5H537Q4GESKJM6AH5","download_json":"https://pith.science/pith/CCVMA5R3Y5H537Q4GESKJM6AH5.json","view_paper":"https://pith.science/paper/CCVMA5R3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2312.00833&json=true","fetch_graph":"https://pith.science/api/pith-number/CCVMA5R3Y5H537Q4GESKJM6AH5/graph.json","fetch_events":"https://pith.science/api/pith-number/CCVMA5R3Y5H537Q4GESKJM6AH5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CCVMA5R3Y5H537Q4GESKJM6AH5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CCVMA5R3Y5H537Q4GESKJM6AH5/action/storage_attestation","attest_author":"https://pith.science/pith/CCVMA5R3Y5H537Q4GESKJM6AH5/action/author_attestation","sign_citation":"https://pith.science/pith/CCVMA5R3Y5H537Q4GESKJM6AH5/action/citation_signature","submit_replication":"https://pith.science/pith/CCVMA5R3Y5H537Q4GESKJM6AH5/action/replication_record"}},"created_at":"2026-07-05T07:19:25.335257+00:00","updated_at":"2026-07-05T07:19:25.335257+00:00"}