{"as_of":"2026-08-18T22:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aa4dd76b7568f9b1c76138e3f81ad28c44f417d2df3c25277457144f53e8a50a","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:02:23.476251Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2507.11986/citation-record","integrity":"/paper/2507.11986/integrity","json":"/paper/2507.11986/citation-record.json","paper":"/paper/2507.11986"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.319378Z","title":"Scaling rectified flow trans- formers for high-resolution image synthesis, 2024","venue":null,"work_id":"a44a240b-5a13-4648-9bdc-7547a9034386","year":2024},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.222859Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:27c22dd9fb808ca8c39c8dac094a74acab85f33e3d959c373cb8a43e06f2cb1d","observation_id":"e2e34500-2ef1-471a-889d-bc3da77e178c","resolution":{"observed_at":"2026-08-06T17:02:24.326077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.302170Z","title":"GLIDE: towards photoreal- istic image generation and editing with text-guided diffusion models","venue":null,"work_id":"a1a0e4e1-7fd0-45e1-a246-91b2e1ba8343","year":2022},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.229613Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:c11ac85b5e85368c881391f13df29fdb405cbe225f1abb4f06a5010ca611785c","observation_id":"ea14e9c4-892b-4971-8c14-1d482f5eaff6","resolution":{"observed_at":"2026-08-06T17:02:24.307499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.285471Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"96180993-5ac2-40bc-967c-58d2b3a99d62","year":2021},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.236160Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:7e5c05ecd5a7e69a5f80c03931281c5b88011d7d12b70126ede4b014e653886c","observation_id":"dd3d21f1-2a74-4c11-84c6-9ea444ced535","resolution":{"observed_at":"2026-08-06T17:02:24.291215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.263875Z","title":"Photorealistic text-to-image diffusion models with deep language understanding","venue":null,"work_id":"df9dcc1f-5f49-4f2b-bd71-0bb7d5b87f2e","year":2022},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.253110Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:74beb519f7860e09bb589d03768c8e5f1d99bd4dd37af5af253af9bb49769179","observation_id":"a57f971e-f7d1-486b-bc80-ddc060888a10","resolution":{"observed_at":"2026-08-06T17:02:24.270110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.239876Z","title":"SDXL: improving latent diffusion mod- els for high-resolution image synthesis","venue":null,"work_id":"ea2ec469-e673-4cce-aa65-05bcd6930ec6","year":2024},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.264139Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:d456551d0451d0808976915c12f1649f3dc84852a58dd6531e4397d04b9ea524","observation_id":"79fd6ba3-86ac-4dbf-ad9d-fcdc4e05a931","resolution":{"observed_at":"2026-08-06T17:02:24.245108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.01324","last_updated":"2023-03-14T00:22:14Z","snapshot_observed_at":"2026-08-17T22:21:14.830063Z","submitted_at":"2022-11-02T17:43:04Z","title":"eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.01324","snapshot_observed_at":"2026-08-06T17:02:23.270265Z","title":"ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.270265Z"},"links":{"cited_paper":"/paper/2211.01324","citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:2d593312e9489cb7fa4eabde2ce6064261ded562fde72cd5dfe8466667a66855","observation_id":"1e51ab2b-227c-4396-9f02-83f95e68273a","resolution":{"observed_at":"2026-08-06T17:02:23.270265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.14822","last_updated":"2022-03-03T10:49:30Z","snapshot_observed_at":"2026-08-18T22:17:36.489843Z","submitted_at":"2021-11-29T18:59:46Z","title":"Vector Quantized Diffusion Model for Text-to-Image Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.14822","snapshot_observed_at":"2026-08-06T17:02:23.278197Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.278197Z"},"links":{"cited_paper":"/paper/2111.14822","citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:6cdd6f8966701df1aae4cbc052ae3ba230b651174a07cdfdaa5105279893a474","observation_id":"c34fecc5-ab2e-4e85-84e3-a256962ac6bc","resolution":{"observed_at":"2026-08-06T17:02:23.278197Z","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":"2026-08-06T17:02:23.283550Z","title":"Smooth diffusion: Crafting smooth latent spaces in dif- fusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.283550Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:20d83ab01678c8bf5bb96e9318b28b60678a71241b95c2309e05a63765a37f1f","observation_id":"deb9e341-6e95-48a8-918e-841565d7b77d","resolution":{"observed_at":"2026-08-06T17:02:23.283550Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.199734Z","title":"Isometric representation learning for disentangled latent space of diffusion models","venue":null,"work_id":"183692e8-23b4-429f-844a-9e0342b01ffa","year":2024},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.293018Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:0b31cc97c4c03d878035f06cc71193e9605293fa78cc56f74cdf51feea1d3499","observation_id":"7313874c-1e17-4112-9aba-b22ce188a469","resolution":{"observed_at":"2026-08-06T17:02:24.207505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.177583Z","title":"Classifier-free diffusion guidance","venue":null,"work_id":"a142492a-9eaf-4258-aa42-67bfd55d3810","year":2021},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.299009Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:ce69696213f604cedc51f6ef8ec4d4ec5f8e0573e1d3672d07739d179ad253e9","observation_id":"c731e289-17a6-4ea9-a590-1c6bff27613f","resolution":{"observed_at":"2026-08-06T17:02:24.185373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.143450Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":"7cc8ae13-249e-4097-b50f-85c5f3386f8a","year":2020},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.304122Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:e081e1098262ec9b62eb64744f3f3ea7f4416a3e6853fe07c64531e4d82aab27","observation_id":"96baa6de-b9a8-4b81-93fc-9528a6368d91","resolution":{"observed_at":"2026-08-06T17:02:24.151178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.124722Z","title":"LoRA: Low-rank adaptation of large language models","venue":null,"work_id":"5bd26d53-1887-4239-9bbb-2c7308c2ca1a","year":2022},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.313646Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:4ec23a8b4d0cc0383387a09e6b133aaf4b28bd8494498b0594db2a26c72a9ac1","observation_id":"e8bc4f23-fca2-4e47-8a8c-1460e6764dfd","resolution":{"observed_at":"2026-08-06T17:02:24.130894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.100579Z","title":null,"venue":null,"work_id":"a151cfeb-f6f4-417d-a1b1-0a7970145930","year":2023},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.318875Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:8a3bf1d0d0ea7227378ae6564e5fbfb20e740475af232f26fcccb21675b12881","observation_id":"f5b49523-ecbb-4dfb-ba8a-74dff14db0ad","resolution":{"observed_at":"2026-08-06T17:02:24.107253Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:02:23.325215Z","title":"A style-based generator architecture for generative adversarial networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.325215Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:0eec0bda9f967c9f8c2a45a1ecc7fa0965b27ec1b08d040021001a5b402fb671","observation_id":"a88083e6-afb1-4f95-95ed-e37b8b7f8725","resolution":{"observed_at":"2026-08-06T17:02:23.325215Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.063569Z","title":"Tweediemix: Improving multi-concept fusion for diffusion-based image/video gener- ation","venue":null,"work_id":"aba07cf3-97af-477f-afcf-2ebb2de4d44d","year":2025},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.332472Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:fa84178be9eebacd5ebf0a39ce89af578a0b07299c811b794537379067dc0fd8","observation_id":"0210b19f-1c48-4ceb-9ff0-7ca40a9d5d6b","resolution":{"observed_at":"2026-08-06T17:02:24.071254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.044461Z","title":null,"venue":null,"work_id":"e93dfd7f-36c7-4cfa-9edb-4a9ae00ea2f0","year":2024},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.337620Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:1f31e4043192f89558bab246107c37d8beff2479b745f59588414dac1251f7b4","observation_id":"39e7d0df-f423-4363-b619-35b49094f315","resolution":{"observed_at":"2026-08-06T17:02:24.050158Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.024778Z","title":"Controllable text-to-image generation","venue":null,"work_id":"56e178bb-1ea3-4610-9839-07d922006334","year":2019},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.342998Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:f5fece60102037a4f81770436b376e4b6a573607ba74e62c66b320bbef8770bd","observation_id":"af32157b-5497-4a53-b3ee-846ba69f433b","resolution":{"observed_at":"2026-08-06T17:02:24.030166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:24.007379Z","title":"Stylet2i: Toward compositional and high-fidelity text- to-image synthesis","venue":null,"work_id":"a757f3ff-35e8-4163-be5c-2ec089f43bbf","year":null},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.348601Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:9f9ead30cfc09e00533ad2def634ba2c3bb886231bcea2ffbeeba9d5b1d537c4","observation_id":"9dc74dc7-140a-4d75-a00b-cc68548c9a46","resolution":{"observed_at":"2026-08-06T17:02:24.012720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:23.990530Z","title":null,"venue":null,"work_id":"f587b7c7-5221-447b-af29-6be643f256a6","year":2023},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.357252Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:714692fa703b39aa5041dd9d18cb34211fe32686d433b5f4c88cba04dd0758d8","observation_id":"45ae5ba4-6bc1-4201-ba87-bb2d84d010be","resolution":{"observed_at":"2026-08-06T17:02:23.995209Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:23.972985Z","title":"Understanding the latent space of diffusion models through the lens of riemannian geometry","venue":null,"work_id":"3b350999-8acd-4c8e-9dad-2176518d0dba","year":2023},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.362983Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:9da0228a628cf42efac305255f930905df21889d41bf7a2bbf99fb7c342ad676","observation_id":"f229cee5-4354-4df5-b1dc-2291e00b90d5","resolution":{"observed_at":"2026-08-06T17:02:23.978423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:23.956856Z","title":"Scalable diffusion models with transformers","venue":null,"work_id":"4fd7097f-8cf4-4932-aacc-fd1c6e4c8109","year":2023},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.369226Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:15f2bc3411601027144994f693086f4e32f2f1b1bb35f89a00cf42ee30b44639","observation_id":"79a46a0f-2b9e-4a82-8956-553c51ee99d4","resolution":{"observed_at":"2026-08-06T17:02:23.962102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:23.939802Z","title":"Generative ad- versarial text to image synthesis","venue":null,"work_id":"b93a416f-3194-420a-aa80-ff163538fa05","year":2016},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.385744Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:0bbab437b40f1996bd10144a65d7088fc90693b9bcdaa66141e4992b1c80687e","observation_id":"687ba3e9-f01c-426c-8f3f-73dd1a00bc31","resolution":{"observed_at":"2026-08-06T17:02:23.945696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:02:23.403036Z","title":"High-resolution image syn- thesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.403036Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:d9cf334de4c02bee8c3460504c7bb775b95a27a629cd2a9a7956945fb3f14f0a","observation_id":"aa462ba2-0ef3-42e0-b7f9-40fa66338531","resolution":{"observed_at":"2026-08-06T17:02:23.403036Z","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":"2026-08-06T17:02:23.418509Z","title":"U-net: Convolutional networks for biomedical image segmentation,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.418509Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:09d5960e8248479f8d6cde43e258cda64c2c44738f7cadf3b31ea758bb4336ec","observation_id":"8aaecd80-74e4-43b8-aa1d-603edd9a19c1","resolution":{"observed_at":"2026-08-06T17:02:23.418509Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:23.883250Z","title":"RB-modulation: Training-free stylization using reference-based modulation","venue":null,"work_id":"1a5f68fb-db2e-47a2-8e4f-f3b43bc3609d","year":2025},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.435779Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:90c56d2bc0c0dbf6043d447453d6fec23e17d830059f3876c85cc278d36bdbe2","observation_id":"88806c3f-6e5f-49b4-a2ca-1b8f6029782a","resolution":{"observed_at":"2026-08-06T17:02:23.890105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:23.859680Z","title":"Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation","venue":null,"work_id":"5f6d3d7b-9daf-4d32-9339-9fa136b1231e","year":2023},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.447904Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:f3459eea3ddfb1e2df10527325e8959b1d8d5f3f6eee1e8735fecb4b8f3a6ba8","observation_id":"e8071dcc-a9b6-4e81-812c-58bb547029e9","resolution":{"observed_at":"2026-08-06T17:02:23.866279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T17:02:23.452908Z","title":"Denois- ing diffusion implicit models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.452908Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:cd4b309e3da4d42272b688b60c6781a21391c580c37788dbf3bcfdf665a6def2","observation_id":"b529779a-12c1-430b-b21c-78897686fa0a","resolution":{"observed_at":"2026-08-06T17:02:23.452908Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:23.824796Z","title":null,"venue":null,"work_id":"30f949d1-ac92-43a8-ae69-88c7fe77ca33","year":2018},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.457678Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:4250316c5305d39977b47add0f98cd900220c9fd035e17a14a2cea5c53f559cd","observation_id":"183334e0-bbbf-414c-80af-f4a6c762c838","resolution":{"observed_at":"2026-08-06T17:02:23.830063Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:23.799045Z","title":"Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models, 2023","venue":null,"work_id":"7d41cbb6-dbb5-47f5-865d-72661a6d62b8","year":2023},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.465202Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:216cf7c46954fada3dfde7d753c23fd980122cfa8c25b6570fbb194036e2c221","observation_id":"ffdd70eb-e193-467b-95f5-f6ee20fefcab","resolution":{"observed_at":"2026-08-06T17:02:23.807133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:23.768147Z","title":"Cross-modal contrastive learning for text-to- image generation","venue":null,"work_id":"cdff8db3-c2cd-4394-a883-1abb3bb8c1c8","year":2021},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.471083Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:bcb893f0a61d7bd870cd68eea0e302721e6e9b166a182201ddcaf336c74a4acc","observation_id":"444e6322-33c7-4cfd-b6a2-44e6fa863f15","resolution":{"observed_at":"2026-08-06T17:02:23.779201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:02:23.741146Z","title":"Adding conditional control to text-to-image diffusion models, 2023","venue":null,"work_id":"c63df2ca-3884-4255-9ea8-1e96534c6936","year":2023},"citing_paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T17:02:23.476251Z"},"links":{"citing_paper":"/paper/2507.11986"},"observation_digest":"sha256:5f15d10d2b64f0d114202c396b04bb834ae780bb085f17eb0d9ba448e77b229c","observation_id":"fbf70334-6abd-458a-8d1d-93e734d4d8f8","resolution":{"observed_at":"2026-08-06T17:02:23.749972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.11986","last_updated":"2025-08-05T03:45:30Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T18:01:12.338369Z","submitted_at":"2025-07-16T07:36:07Z","title":"Style Composition within Distinct LoRA modules for Traditional Art"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":20},"total_outbound_references":31},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.11986."}