{"as_of":"2026-08-08T16:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ffb7e6768465e98bf16c15ca053714af130926a1f094a04f307e10eb6d769424","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:01:41.517567Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2505.20271/citation-record","integrity":"/paper/2505.20271/integrity","json":"/paper/2505.20271/citation-record.json","paper":"/paper/2505.20271"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T14:01:36.950072Z","title":"Gpt-4 technical report","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:36.950072Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:05e8afc239db98cf27c3a2a74a5e5a5ae21acdd98729c22d79ea3cd92b02340d","observation_id":"0e3186ef-e5a4-47ca-ac55-8c8488b2296c","resolution":{"observed_at":"2026-08-07T14:01:36.950072Z","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":"2026-08-07T14:01:48.068122Z","title":"Break-a-scene: Extracting multiple concepts from a single image","venue":null,"work_id":"7e083661-941d-4f64-8e7e-ddefc11de5d1","year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.048584Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:7747f68d6ace40534d6bca19dea442ebd1de94671cc27aa24a18e301bb2252f6","observation_id":"fac49330-c2cf-4b04-9b5a-72b9bba98792","resolution":{"observed_at":"2026-08-07T14:01:48.156570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:47.889382Z","title":"Flux, offering state-of-the-art performance image generation","venue":null,"work_id":"baa14a28-4d7e-472c-942d-3d5a096bf1ec","year":null},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.117629Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:00edc9b034e62bdeb89f514ebe8bce2e42e70e7f810b59dad26e9c3b42f7eb9a","observation_id":"c095eec2-09b4-4f6a-8497-b44d88cd234f","resolution":{"observed_at":"2026-08-07T14:01:47.975585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:47.579493Z","title":"Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020","venue":null,"work_id":"0fbe3888-7b1d-4057-aced-2d88c56cc115","year":1901},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.288705Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:49a24084808f4ec8fb06719c01f08f4bcbb9012d36d84cd09b937d942bcad1f3","observation_id":"3a2b4a19-8d47-4650-8759-ca14995f06d9","resolution":{"observed_at":"2026-08-07T14:01:47.656897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:47.409445Z","title":"Pixart- $\\alpha$: Fast training of diffusion transformer for photorealistic text-to-image syn- thesis","venue":null,"work_id":"f0bc038e-a8eb-44c2-9580-4af40713f5f4","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.378733Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:5c91f4ccd9ff1cddbdfa7252354cebaf4814dba1dc12fa6ac823603de634cf47","observation_id":"ef358e31-fd4a-4d2a-b100-c10cb4ee572a","resolution":{"observed_at":"2026-08-07T14:01:47.467519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01408","last_updated":"2023-12-03T14:15:52Z","snapshot_observed_at":"2026-07-06T16:56:13.538325Z","submitted_at":"2023-12-03T14:15:52Z","title":"Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.01408","snapshot_observed_at":"2026-08-07T14:01:37.455522Z","title":"Improving in-context learning in diffusion models with visual context-modulated prompts","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.455522Z"},"links":{"cited_paper":"/paper/2312.01408","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:4ba6b3ab21e4d3cfec3acba66e8cac66faaaab65e4c2fe97df0149f515a01ad1","observation_id":"013f1e1b-6ac5-4615-ba86-ff333928f244","resolution":{"observed_at":"2026-08-07T14:01:37.455522Z","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":"2026-08-07T14:01:47.288939Z","title":"Zero-shot image editing with reference imitation","venue":null,"work_id":"3bb88667-6819-46f6-b6a0-ff589e59281a","year":null},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.521181Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:b73445e3350cba2ac47fb532f0a8e5ec898ba87c5c6413e226052f94fcfd1fe4","observation_id":"0e07395e-8f77-4623-a807-93c6ee75139b","resolution":{"observed_at":"2026-08-07T14:01:47.343453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:47.149921Z","title":"Anydoor: Zero-shot object-level image customization","venue":null,"work_id":"91ad38aa-a05a-4621-84a4-96a0dbf4d6e1","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.627176Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:334a91a2e4c6dbbda6f4c525855bd108999b23ffc5655b76431146cc0ed4a7c8","observation_id":"9f81691a-a3a4-43df-a2d5-7f21c663468b","resolution":{"observed_at":"2026-08-07T14:01:47.224113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15779","last_updated":"2023-05-25T06:46:28Z","snapshot_observed_at":"2026-07-06T15:33:06.904026Z","submitted_at":"2023-05-25T06:46:28Z","title":"Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15779","snapshot_observed_at":"2026-08-07T14:01:37.700720Z","title":"Custom-edit: Text-guided image editing with customized diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.700720Z"},"links":{"cited_paper":"/paper/2305.15779","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:12334582b146a8ba51d086492ebbff8136488f222d7198c48a14c03900696e13","observation_id":"6faba3a9-a47b-481b-9059-7e69a32d9403","resolution":{"observed_at":"2026-08-07T14:01:37.700720Z","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":"2026-08-07T14:01:47.017035Z","title":"Turboedit: Text-based image editing using few-step diffusion models","venue":null,"work_id":"f5b0fe71-8e6d-40a3-94c9-284a172b2de4","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.779928Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:47b55b46adbfd6a89bb0a6d89a585c44f4623ac5113aa2f53684aa11bfa08e56","observation_id":"8e99ba90-dabf-4cea-b379-d7fb148b4cd9","resolution":{"observed_at":"2026-08-07T14:01:47.069679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-07T14:01:37.844191Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.844191Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:c9711b04a05645312f3cd33ca424ba2330e352ae4cd4ec3ce8f325101ac550f1","observation_id":"af59cf5e-cb48-40c0-b63d-afb6d5955189","resolution":{"observed_at":"2026-08-07T14:01:37.844191Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00234","last_updated":"2024-10-05T11:47:02Z","snapshot_observed_at":"2026-07-06T14:36:25.690733Z","submitted_at":"2022-12-31T15:57:09Z","title":"A Survey on In-context Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00234","snapshot_observed_at":"2026-08-07T14:01:37.881133Z","title":"A survey on in-context learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.881133Z"},"links":{"cited_paper":"/paper/2301.00234","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:61dc058cba2ecbfcf6b3535ad8a1e9172ab594e8be638286fe26ef06f508ec10","observation_id":"0de55bf5-ff1b-4de2-9dd2-89f2061149d2","resolution":{"observed_at":"2026-08-07T14:01:37.881133Z","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":"2026-08-07T14:01:46.843555Z","title":"Scaling rectified flow transformers for high-resolution image synthesis","venue":null,"work_id":"09ed9bab-b944-48d8-ab92-e981cb4b9f8e","year":null},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.966607Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:9ef19bfc64ac0c733f1c3bd16bbe5d529b966c63a80a811ec89c18d2782e2483","observation_id":"16ca5ac9-0916-4820-aeb0-ba4ca285b675","resolution":{"observed_at":"2026-08-07T14:01:46.916160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:46.670674Z","title":"An image is worth one word: Personalizing text-to- image generation using textual inversion","venue":null,"work_id":"18fdc3d8-6200-4767-8dec-419f8047dc8b","year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:38.041485Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:25266ce83644479b5cf6a83f1f722cbf082359af39d590f77d1afb537da7e87c","observation_id":"2962fd29-190d-46d8-a5c5-724d1ed574d2","resolution":{"observed_at":"2026-08-07T14:01:46.747042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:46.463572Z","title":"Interpreting clip’s image representation via text-based de- composition","venue":null,"work_id":"17e58882-bcae-44c5-aefc-fab4b1afc5b9","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:38.117542Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:a2228abf8b6215b1e7be399c15c44b5aef25e95593952606fe7e1d2914c802fa","observation_id":"90479a59-9cb5-4f9f-977d-8aa6dd14759a","resolution":{"observed_at":"2026-08-07T14:01:46.564919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:46.271261Z","title":"Photoswap: Personalized subject swapping in images","venue":null,"work_id":"c39b64ac-2f49-40ea-846c-db0861b9e49a","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:38.187965Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:0a8d7e26590c04a4ba749aa09592d714afff39326b0c0762d3e0c8b7f9a80d6f","observation_id":"b368d9f8-5df5-4a4f-9f4f-69e0e8f7a043","resolution":{"observed_at":"2026-08-07T14:01:46.354940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:46.091069Z","title":"Swapanything: Enabling arbitrary object swapping in personalized image editing","venue":null,"work_id":"540ef2e5-cfcf-4883-ba30-000c0e0e6036","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:38.260035Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:8046bf08f0af988abd41a41e67493d6d468daae35666a0d002a63a0ea72d4252","observation_id":"dfb00fa7-b25b-4164-8800-651de2a85b77","resolution":{"observed_at":"2026-08-07T14:01:46.191468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:45.880225Z","title":"Prompt-to-prompt im- age editing with cross-attention control","venue":null,"work_id":"5366312f-addf-4ffe-a29c-80cc0a59b195","year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:38.386907Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:be7e9cc46fa435ea36ea33a19c3f8302249eb0b97738aa4ae870445b165730b2","observation_id":"d9c4ad15-1fb0-48a0-b9ee-7fd779cf7d95","resolution":{"observed_at":"2026-08-07T14:01:45.969083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:45.686182Z","title":"Style aligned image generation via shared attention","venue":null,"work_id":"88a7ebb9-8233-4223-ba48-9e27e1d3457e","year":null},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:38.479605Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:4852ea6281333135433bb4fd8cd5770d058acc0b2b944d7552edd947b647b64d","observation_id":"4a93207a-9165-4c26-aee6-2755f91a410a","resolution":{"observed_at":"2026-08-07T14:01:45.752891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:45.491978Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","venue":null,"work_id":"6c7c0bcf-be1b-4291-8084-d75df7614617","year":null},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:38.580666Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:0450cf3199cfdb9e6dcf471dfbf843d6542697a2ccc56072adcc13bde6ab8b54","observation_id":"5bc4bdbe-097d-40b6-8879-617d2373c3a1","resolution":{"observed_at":"2026-08-07T14:01:45.578668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23775","last_updated":"2024-11-05T06:41:27Z","snapshot_observed_at":"2026-07-06T19:42:47.238254Z","submitted_at":"2024-10-31T09:45:00Z","title":"In-Context LoRA for Diffusion Transformers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23775","snapshot_observed_at":"2026-08-07T14:01:38.701574Z","title":"In-context lora for diffusion transformers","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:38.701574Z"},"links":{"cited_paper":"/paper/2410.23775","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:22ba6dc5c4b812d9fe175ba73e5050092486cdb61f45870acbaa0186de12ec2c","observation_id":"defea1f9-582b-4352-9be7-5bd35074df23","resolution":{"observed_at":"2026-08-07T14:01:38.701574Z","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":"2026-08-07T14:01:45.356464Z","title":"Openclip, 2021","venue":null,"work_id":"cdff76e7-00b5-4536-80ba-8a362778470b","year":2021},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:38.802715Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:4b38e185d3f8f3b32e79642f6f16267de68dbb493471284238e9c39b20a90502","observation_id":"84d46260-a911-4778-a0cb-eee430d801f4","resolution":{"observed_at":"2026-08-07T14:01:45.405408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:45.104798Z","title":"Segment anything","venue":null,"work_id":"da852144-0318-40e7-a154-ed5b38378048","year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:38.894193Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:d7a3eff7603e445a1c6b4fb3e86345a6fc7748a057926dbd594bce79ec6c6102","observation_id":"312d5f6c-8e40-4aee-b66f-c9b8c81e7b6f","resolution":{"observed_at":"2026-08-07T14:01:45.226361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:44.898837Z","title":"Tuning-free image customization with image and text guidance","venue":null,"work_id":"7927846d-4329-420d-96e8-ae1bfb8ff688","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:38.990318Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:9223392741ab0ea64e548cf2a2d0d9cefb3deaf6706c2b538a38b737a0ed362d","observation_id":"52ecd7dc-fbaf-4808-8a21-c4826089ce52","resolution":{"observed_at":"2026-08-07T14:01:44.968245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:44.725714Z","title":"Dreamedit: Subject-driven image editing","venue":null,"work_id":"3295d448-a655-41a0-ad57-de588b8ff3b5","year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:39.087689Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:a12d8edd8b025f827f4f1dab01f2be80943f61bf80a28e1ed305ea4395171fc2","observation_id":"9d80cb86-a8a1-4cb0-919e-e171fb870469","resolution":{"observed_at":"2026-08-07T14:01:44.779398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:39.161152Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:39.161152Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:640e59e5e3911707264e8fc55c48c5ab89e6207ea26296640b374e81c51523b4","observation_id":"483e2b39-cc51-4ee9-823e-6e40b4d61b4c","resolution":{"observed_at":"2026-08-07T14:01:39.161152Z","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":"2026-08-07T14:01:44.597694Z","title":"Grounding dino: Marrying dino with grounded pre-training for open-set object detection","venue":null,"work_id":"981ca519-b392-4ae9-b87d-254745e3bec4","year":null},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:39.269173Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:242804c572e0f310e31ebde10ebc284ca0563a2dbde6e9e554e6155fa3225b1e","observation_id":"66cec874-258b-4d77-a8ef-5d4e87ad5342","resolution":{"observed_at":"2026-08-07T14:01:44.649997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:44.347203Z","title":"Tf- icon: Diffusion-based training-free cross-domain image composition","venue":null,"work_id":"650e1859-1b4a-4060-98c8-a171c2af42f6","year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:39.358978Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:022f465c2a1ea20f19d64a7c050e57d418270c564908a3670ae5d2364d4eb4d6","observation_id":"86e22d57-7c70-4b03-8750-30f0c97235a2","resolution":{"observed_at":"2026-08-07T14:01:44.473217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:44.137219Z","title":"Rethinking the role of demonstrations: What makes in- context learning work? In EMNLP, 2022","venue":null,"work_id":"e7426882-7e04-4010-809f-f5071faf2054","year":2022},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:39.485642Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:a66015083617a88df0b612e73f6f391168996e5a5363d4d02de137557bb4d5c1","observation_id":"ab651b43-63af-44cc-b854-f384fdbb1b45","resolution":{"observed_at":"2026-08-07T14:01:44.221469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:43.963518Z","title":"Context diffusion: In-context aware image generation","venue":null,"work_id":"6b32208d-d16d-44f9-b2d2-c53c51727226","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:39.543657Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:a24a69f0014a1829c1ede75f8d19c25febda187aaf5b18f2ccfe11103d8e5fbe","observation_id":"fdde3f8d-32d9-4dc4-9c30-54b07ccc162d","resolution":{"observed_at":"2026-08-07T14:01:44.050670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:43.819710Z","title":"Scalable diffusion mod- els with transformers","venue":null,"work_id":"f2d6df6a-5f38-47e7-add2-f72e9a12dffd","year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:39.668258Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:cc165b12e6ed17f58ac1f71fb80d8c0424ee0028611c7caca26d0daeb7e39986","observation_id":"d25ec47a-c33c-45a3-b932-35386572f44f","resolution":{"observed_at":"2026-08-07T14:01:43.868387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:43.684998Z","title":"Sdxl: Improving latent diffusion models for high-resolution image synthesis","venue":null,"work_id":"ac94655f-5d85-4e34-a292-0dfad1704af0","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:39.730686Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:f8a79b5eaf55e60f5a1b2e1796db91fa68beacb69f7f988388bef33e47b8147a","observation_id":"1cae9039-fc5f-4f52-8494-7eac3a140a78","resolution":{"observed_at":"2026-08-07T14:01:43.746133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:43.558145Z","title":"Language models are unsupervised multitask learners","venue":null,"work_id":"dd70dd5f-6744-41f6-ae36-601bb7eeb680","year":2019},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:39.820423Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:6b5ad4b105d9b9d632d2e7ecc344c6d1017123b70b882e44e2a0f22928643d1a","observation_id":"2b6cf731-2de0-4e7b-8de7-6fa933fbedc4","resolution":{"observed_at":"2026-08-07T14:01:43.605201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:39.922084Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:39.922084Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:5b38cc6f5f47f14a2a485f37eb6970cbb23b16ecd173706603c4f996ccc0d435","observation_id":"4938fb3e-cfc5-4f50-a26f-6415a3cab8dc","resolution":{"observed_at":"2026-08-07T14:01:39.922084Z","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":"2026-08-07T14:01:43.404697Z","title":"Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation","venue":null,"work_id":"c0c6e551-0641-4f79-84f6-8d25efdd367c","year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:40.014087Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:e39847db587b583f275896584b6bb2471c2858c28a630e7163a2d0139523db11","observation_id":"be0aad8b-83a3-468f-8c74-3989e5ca1a5c","resolution":{"observed_at":"2026-08-07T14:01:43.491719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15466","last_updated":"2025-06-04T01:35:55Z","snapshot_observed_at":"2026-08-05T03:22:01.656713Z","submitted_at":"2024-11-23T06:17:43Z","title":"Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.15466","snapshot_observed_at":"2026-08-07T14:01:40.111310Z","title":"Large-scale text-to-image model with inpainting is a zero-shot subject-driven image generator","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:40.111310Z"},"links":{"cited_paper":"/paper/2411.15466","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:af3e49b7594b19ca7f9cbb3bed50c90f334094281159868537d1bd32f9fe0295","observation_id":"b08aa19c-3333-46bb-a3fe-72bdd1434163","resolution":{"observed_at":"2026-08-07T14:01:40.111310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.15009","last_updated":"2025-04-21T10:19:12Z","snapshot_observed_at":"2026-08-07T16:00:37.570235Z","submitted_at":"2025-04-21T10:19:12Z","title":"Insert Anything: Image Insertion via In-Context Editing in DiT","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.15009","snapshot_observed_at":"2026-08-07T14:01:40.210700Z","title":"Insert anything: Image insertion via in-context editing in dit","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:40.210700Z"},"links":{"cited_paper":"/paper/2504.15009","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:ff04bc5280902e679cd2e374a287f8a15be82523705c5d2bc8989421d2e99b6d","observation_id":"d292013f-d343-4236-881b-2491bc292322","resolution":{"observed_at":"2026-08-07T14:01:40.210700Z","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":"2026-08-07T14:01:43.246243Z","title":"Objectstitch: Object compositing with diffusion model","venue":null,"work_id":"f6ae00ce-5f74-4d91-b566-a5bd4fe8b46d","year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:40.295945Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:902e39750e5120b4e7e380758d8ba1808b084ff1255935097f26591d41477f67","observation_id":"fb5297fd-cb3b-418b-a876-5a1b08d783d1","resolution":{"observed_at":"2026-08-07T14:01:43.322757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:43.121383Z","title":"Imprint: Generative object compositing by learning identity-preserving representation","venue":null,"work_id":"b10cb676-9718-46b7-b599-b38ec3da3104","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:40.370402Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:c1544eb8c9dd06f1646c9e27d94fad9b87d383e26a06b7ce50b9ff1d9427207b","observation_id":"2b905d10-d289-49a1-aa68-20828a3de82d","resolution":{"observed_at":"2026-08-07T14:01:43.190418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:42.979154Z","title":"Training-free consistent 11 text-to-image generation","venue":null,"work_id":"97e925ab-afd6-45e8-9527-4a9da259b514","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:40.488797Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:2a03d663367cdf153c351f005cb79371bbdb60a35990651cb53c137fbc5360e4","observation_id":"be066310-bfac-4ed9-97f4-bf26389cbb76","resolution":{"observed_at":"2026-08-07T14:01:43.053050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-07T14:01:40.560326Z","title":"Llama: Open and efficient foundation language models.arXiv preprint arXiv:2302.13971, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:40.560326Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:f4b82a0cc8ad2600d560f047c87266636f01bddb7bb6643563269abd753b6a73","observation_id":"ecc2afbc-ea75-4b5f-a8fe-360802cdd213","resolution":{"observed_at":"2026-08-07T14:01:40.560326Z","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":"2026-08-07T14:01:42.820049Z","title":"Images speak in images: A generalist painter for in-context visual learning","venue":null,"work_id":"3100c6c1-919c-4e4f-8126-9d2c3d84a9fc","year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:40.657077Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:b2907ceae9015cd3a27bb9d130c03f0dd75297328bb688e1aa2e8bff7f891b16","observation_id":"47e82099-5ace-4a68-99c6-f2d6b22b9b00","resolution":{"observed_at":"2026-08-07T14:01:42.885807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:42.617488Z","title":"Primecomposer: Faster progressively combined diffusion for image composition with attention steering","venue":null,"work_id":"e78b5871-d9ed-4775-9108-3a5095b05fa1","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:40.750364Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:2854dfaa069075052f4d4f71a739f46b490e88c7d9d7fbe16d0763b29fb081f3","observation_id":"c8b29a39-b67e-4b9f-8a7a-3b32343a37d2","resolution":{"observed_at":"2026-08-07T14:01:42.715733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:42.401311Z","title":"In- context learning unlocked for diffusion models","venue":null,"work_id":"6f604aaf-9330-482b-9e74-1b784822458c","year":null},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:40.879076Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:ad0617e523e5085c75b8da4564fad13026fbe9ca7d1aefe0c33e79ab2d8b3721","observation_id":"9373fd99-5f1a-4b73-98a3-f222c56d6b5e","resolution":{"observed_at":"2026-08-07T14:01:42.492982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:42.205609Z","title":"Emergent abilities of large language models","venue":null,"work_id":"6b27e9a4-12d4-4467-8cc0-fc5a2cb751ce","year":2022},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:40.974008Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:d98a57d1672e9038f1c0d932991a73187ad925fedeaa16d033d128bd20d4620e","observation_id":"38be3cba-8ec7-44ae-b23e-4deed9ba66f7","resolution":{"observed_at":"2026-08-07T14:01:42.290005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08645","last_updated":"2024-12-11T18:59:53Z","snapshot_observed_at":"2026-08-05T05:04:08.112463Z","submitted_at":"2024-12-11T18:59:53Z","title":"ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.08645","snapshot_observed_at":"2026-08-07T14:01:41.064756Z","title":"Objectmate: A recurrence prior for object insertion and subject-driven generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:41.064756Z"},"links":{"cited_paper":"/paper/2412.08645","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:d4538efe5e402cb37cb47a175cd60bc3af8df8ceba1fc7af5ea40c39c4f6894f","observation_id":"eb6d48b5-c158-4ba9-b641-8fd737782372","resolution":{"observed_at":"2026-08-07T14:01:41.064756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15034","last_updated":"2024-11-22T16:08:03Z","snapshot_observed_at":"2026-07-06T19:54:27.776746Z","submitted_at":"2024-11-22T16:08:03Z","title":"HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Heads","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.15034","snapshot_observed_at":"2026-08-07T14:01:41.161549Z","title":"Head- router: A training-free image editing framework for mm- dits by adaptively routing attention heads","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:41.161549Z"},"links":{"cited_paper":"/paper/2411.15034","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:316b7d700d256bb20f6fd6a569d8f95af9fa4896b28dcd8032c17d5c5423c2e9","observation_id":"93dff70b-8ad3-42bf-94ef-34139709203a","resolution":{"observed_at":"2026-08-07T14:01:41.161549Z","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":"2026-08-07T14:01:42.048363Z","title":"Paint by example: Exemplar-based image editing with diffusion models","venue":null,"work_id":"22da4f3b-cbde-42ce-b00e-34ffec29bda4","year":2023},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:41.251360Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:c0a49624efa4f38be8e63977bc2740aba4f89affb8b16a4eea8db942d80150f5","observation_id":"04ea3266-2889-4abe-abb4-724c58c77d02","resolution":{"observed_at":"2026-08-07T14:01:42.130808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.08677","last_updated":"2025-03-12T17:05:47Z","snapshot_observed_at":"2026-08-07T17:12:12.799298Z","submitted_at":"2025-03-11T17:55:27Z","title":"OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.08677","snapshot_observed_at":"2026-08-07T14:01:41.362709Z","title":"Omnipaint: Mastering object-oriented editing via disentangled insertion-removal inpainting","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:41.362709Z"},"links":{"cited_paper":"/paper/2503.08677","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:1d41fef1eb647bc8a886127f2ee2e57744af0f3e0a0d76bb24d9fd8ca8adde30","observation_id":"47d54dce-b81e-4f1e-9a71-8feabbe7b231","resolution":{"observed_at":"2026-08-07T14:01:41.362709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01293","last_updated":"2024-07-20T07:52:29Z","snapshot_observed_at":"2026-07-06T17:24:12.659911Z","submitted_at":"2024-02-02T10:30:05Z","title":"Can MLLMs Perform Text-to-Image In-Context Learning?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01293","snapshot_observed_at":"2026-08-07T14:01:41.449159Z","title":"Can mllms perform text-to-image in- context learning? arXiv preprint arXiv:2402.01293, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:41.449159Z"},"links":{"cited_paper":"/paper/2402.01293","citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:ca4558430d667526c03e3b703d0311918c85cae6751927caeda9bdf3ab1854f7","observation_id":"5f40f0b7-071c-43c1-bd3d-66f8be7ad9ab","resolution":{"observed_at":"2026-08-07T14:01:41.449159Z","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":"2026-08-07T14:01:41.882210Z","title":"Instantswap: Fast customized concept swapping across sharp shape dif- ferences","venue":null,"work_id":"24c339bb-8aed-43e4-af90-0ab5699b1b6d","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:41.517567Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:531ce62a0745f2446f72f6eab324c78145d6ddbba6e89a7e9ad9e690c78f6003","observation_id":"5fa38eae-1bb4-486e-947f-8e3fc4c160d6","resolution":{"observed_at":"2026-08-07T14:01:41.950822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T14:01:47.740753Z","title":null,"venue":null,"work_id":"8af28c67-6a6a-4b1d-9c2c-208bb82f0502","year":2024},"citing_paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:37.213174Z"},"links":{"citing_paper":"/paper/2505.20271"},"observation_digest":"sha256:506d78f01b2a5642be73d774fd3599d93ebab72cf7226fb49fe4ab6cca454824","observation_id":"6913da5a-84f5-4786-9f61-48fb1d446966","resolution":{"observed_at":"2026-08-07T14:01:47.819080Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.20271","last_updated":"2025-05-26T17:49:10Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T13:53:28.374631Z","submitted_at":"2025-05-26T17:49:10Z","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":0,"verified_fuzzy":36},"total_outbound_references":52},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2505.20271."}