{"as_of":"2026-08-23T11:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6619322bde76a691a21e67ac8a84516d0d85b40293a3553b8d29f3e7f2959d4d","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-11T13:17:53.306961Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.04801/citation-record","integrity":"/paper/2607.04801/integrity","json":"/paper/2607.04801/citation-record.json","paper":"/paper/2607.04801"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7377.376398","doi":"10.1145/3757377.3763987","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"161:1–161:10 (2025).https://doi.org/10.1145/3757377.3763987","venue":null,"work_id":"c766305d-bbe5-4b23-b1a6-87fd4f5a3d09","year":2025},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:376508bd06431394c874314f69f9f4e9ac2d2541c3932c1cb41a854593d8c927","observation_id":"81d590af-0618-4665-9ea6-fe50dbe197a0","resolution":{"observed_at":"2026-07-11T13:18:01.874807Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-07-12T01:51:17.042473+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T01:51:17.042473+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:c446a948ec4d1f7e5d0f3f8b5ebd446c5cc38570350fbc247b5d754251c66345","observation_id":"b1c09282-d044-42b0-bbba-1d345e706930","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-72684-2_11","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G","venue":"Lecture notes in computer science","work_id":"7c585222-6a7c-4712-86ed-3bb1017d6f2d","year":2024},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:5d1eaa20ceca0c41045c96b385cfb8d0afcc22db3388e9df03bfbb5546a890d1","observation_id":"bec26df3-5654-4564-aaf4-9084ec21673c","resolution":{"observed_at":"2026-07-11T13:18:01.857435Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-07-12T01:51:17.508401+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T01:51:17.508401+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"In: International Conference on Learning Representations (ICLR) (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:111d3418ff9a1c79f693267b67321c05feed1a9a161299c1017c16f9e379ed3f","observation_id":"ac2e5091-8a6e-408d-b662-7a1f2e7a2b22","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:4b9d6606cf8be09aabaf602581f3db418115a4ef4dbb423e4ae63706abdfd428","observation_id":"3959a0d3-ccd0-4862-bfed-42b706b439b0","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"In: The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:f10cdc01b6327409b80c9aa3cf9e25f2392d5a84d2ab76cafa9d929cd2ed1293","observation_id":"4e1ada3e-0a28-4048-be5f-80d34f0e27f6","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:b6ff1b8906a5c30406c0e6cc2220f2a40174280c216ec74bd7204696e81a2700","observation_id":"ccf061a9-b257-4caa-9c43-bdcf6737402b","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"parse_uncertain"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"Lecture Notes in Computer Science, vol","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:fd19084281c3742bf49c4bb1bc5a0f5a81836bc9e9a9f1c807b3a92a9afb3b68","observation_id":"28cc2e15-80a6-400a-a7a0-33e1f0ba86cb","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"In: IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:b099727de35787095cae422e6a60a813983e9a87e8d6cf0f99e4eb630d1c23c1","observation_id":"c3235227-11b6-4f6b-90e4-2dad559f2c7c","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"1931–1941","venue":null,"work_id":null,"year":1931},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:64679e9a028af7a02fdc18aec2d333bf2d7f69cd17fbbf68a605f7b213232df7","observation_id":"c7ac457a-5193-4d1b-88d0-6a09d84070db","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17- 24, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:29eb6a573e01d6066c73e64b33c72906209fb6e881212237d6d8bd50a80323c8","observation_id":"8e0d1a00-a85b-4f32-b69b-377ba35b59b5","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"arXiv preprint arXiv:2603.17965 (2026) 16 M","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:845d37a32d607b3966cd62eca766f2cd766eb54aec92281a7876bd51c9e7bd24","observation_id":"66abd54b-9f7c-4504-86aa-64e689a6fb53","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recog- nition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:716308e5688158bbafc95b7cd088232ecf1eaa15607071d799ab98e2f9fb1b27","observation_id":"a7e1c273-d420-4391-ba8a-d853e1012f81","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:ab9998793795ced3da1faffbf7823f0b09393ed148fef98cedef2bfbfb8ab904","observation_id":"ffaf0146-f5e8-4e85-903a-1dde9b4b8225","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"In: International Conference on Machine Learning (ICML) (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:74ecb56ae261bb2d5fe772871b0e3afc14c143c2e09f278a26a0e5e8644f0a44","observation_id":"8d637dbf-f429-4927-9e3d-e2042da4d785","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"In: Meila, M., Zhang, T","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:8e2b0ba289c45bfcc5eab7b8b35a0268f38247229510e2a8760277f9e026dc50","observation_id":"e7f3ad36-3d01-4d8a-956b-c9241b39c06d","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:2c1ddbba5c8c787562a9a09cb75a74c107a404e3894057f489bd6342b83e96dc","observation_id":"28de2a3c-370d-4736-a45f-de42595bdb0f","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-73232-4_24","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G","venue":"Lecture notes in computer science","work_id":"c0e7ea45-8791-4d17-b6f3-5f3f30d5f209","year":2024},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:32982fb49e254cd01be28f27e232b778304cbe7778fc942a0b361063f6dae256","observation_id":"47569570-ddbf-4a9f-b07d-d103884aa7a8","resolution":{"observed_at":"2026-07-11T13:18:01.888284Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-07-12T01:51:19.485422+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T01:51:19.485422+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09522","last_updated":"2023-07-15T15:48:48Z","snapshot_observed_at":"2026-08-19T14:07:23.640419Z","submitted_at":"2023-03-16T17:38:15Z","title":"P+: Extended Textual Conditioning in Text-to-Image Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09522","snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"CoRRabs/2303.09522(2023).https: //doi.org/10.48550/ARXIV.2303.09522","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"cited_paper":"/paper/2303.09522","citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:29e0ff2f3288fcb9ad4b0c7251045af671191adfe3978a8fd99be3841f9003f2","observation_id":"af09659f-e327-495d-a068-87ee30db75d9","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:f8cfd532907cfa267086542dfc95d01216dd701b3dc613816c8a0a2b5d3103bb","observation_id":"27e8d668-b3e9-418a-bc1d-74eb04c169ac","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"arXiv preprint arXiv:2512.15603 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:121ccaae6870cbb958081ba86401eafd9f5bbd223ac2b413cd5f99fa21b55b7e","observation_id":"53e253f7-904a-45d2-a513-8e2db269ef1d","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T13:17:53.306961Z","title":"ACM Trans","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-11T13:17:53.306961Z"},"links":{"citing_paper":"/paper/2607.04801"},"observation_digest":"sha256:42dbc18df70c25de9fdd4e4201ffef17952b5215740e4007babe4b9eca9a73a2","observation_id":"74c949d5-dddb-4c87-a7e8-4e70e59c6dae","resolution":{"observed_at":"2026-07-11T13:17:53.306961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.04801","last_updated":"2026-07-06T08:33:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T14:09:27.653775Z","submitted_at":"2026-07-06T08:33:58Z","title":"LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":17,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":22},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.04801."}