{"as_of":"2026-08-10T12:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6e2f8096d6b29580c577f91949bd0b53494cc22ee9d929c0827202e43d9d3541","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T15:34:21.298718Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2508.21090/citation-record","integrity":"/paper/2508.21090/integrity","json":"/paper/2508.21090/citation-record.json","paper":"/paper/2508.21090"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:34:22.055206Z","title":"Cross-image attention for zero-shot appearance transfer","venue":null,"work_id":"76769d57-f3c7-453c-a0bc-5dbd708b9e7c","year":2024},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:17.232406Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:25990f989aaa8bf944614d6215f9ff512fda0b5128662e8a328169a04f547857","observation_id":"f347b22d-f3a2-425f-8f94-78fcf6fe58a7","resolution":{"observed_at":"2026-08-05T15:34:22.063378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:17.325112Z","title":"Surf: Speeded up robust features","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:17.325112Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:d6bdbabe9fb804f3570e89b92fd46488b1dfcef1f63142bef32d5b44fdeb5763","observation_id":"d3130c4e-53d9-4a6f-9e53-5c6041a7e381","resolution":{"observed_at":"2026-08-05T15:34:17.325112Z","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":"2026-08-05T15:34:22.015832Z","title":"Masactrl: Tuning-free mutual self-attention control for consistent image syn- thesis and editing","venue":null,"work_id":"5a175c10-220d-4329-a22b-1d371999f2dc","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:17.454559Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:c7f3e75178d4443dbc319f70a9735c8cfe0a137d91594197b6af595397db845a","observation_id":"8141d2c0-c1cd-44f4-8caf-f216b3187da5","resolution":{"observed_at":"2026-08-05T15:34:22.021703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:17.597207Z","title":"Emerging properties in self-supervised vision trans- formers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:17.597207Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:806f3b332f0938e0dc7cec378df69a53fde8a1795af02b0cf6f2d028eef68e0e","observation_id":"ea9adf0e-91c1-4325-9d65-3cbf4e4bc1e2","resolution":{"observed_at":"2026-08-05T15:34:17.597207Z","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":"2026-08-05T15:34:21.975145Z","title":"Cats++: Boosting cost aggrega- tion with convolutions and transformers","venue":null,"work_id":"2619327a-12da-4b11-a693-f630c6b33110","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:17.724945Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:ab23f4329469081c8533e1d913360fb9ca744df447aa4927bfdf280a52dd3c98","observation_id":"85af998f-0ab6-4140-854e-1b54f336907e","resolution":{"observed_at":"2026-08-05T15:34:21.981816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.957649Z","title":"Stargan v2: Diverse image synthesis for multiple domains","venue":null,"work_id":"952692de-0ff2-477c-a94e-7c743a498efe","year":2020},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:17.845784Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:f64bbeed2518011056245c72ac826ba67ad94450117d90eef144ad2108a25a23","observation_id":"e226e834-953d-4993-952d-9826dfe7c74d","resolution":{"observed_at":"2026-08-05T15:34:21.963260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.935207Z","title":"Diffedit: Diffusion-based semantic image editing with mask guidance","venue":null,"work_id":"c4a8978d-7f99-4de5-93a2-eb6d04afb011","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:17.983721Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:c12980ae133d6c45be23a5da9e1b47aec225d04f2776c1b95ce87d8a51d40315","observation_id":"34f0dc3a-39f8-465e-8686-faef527036d8","resolution":{"observed_at":"2026-08-05T15:34:21.941261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:18.101564Z","title":"An image is worth 16x16 words: Trans- formers for image recognition at scale","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:18.101564Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:6285145c1adafc6368137f70b47c19296891a223e5a3826525d331b9cb61552f","observation_id":"fc208fc3-acad-4952-8de1-aacbf70636e4","resolution":{"observed_at":"2026-08-05T15:34:18.101564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1508.06576","last_updated":"2015-09-02T08:24:59Z","snapshot_observed_at":"2026-07-06T04:27:45.692332Z","submitted_at":"2015-08-26T17:14:42Z","title":"A Neural Algorithm of Artistic Style","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1508.06576","snapshot_observed_at":"2026-08-05T15:34:18.300541Z","title":"Gatys, Alexander S","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:18.300541Z"},"links":{"cited_paper":"/paper/1508.06576","citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:fccfa285785e3c8fdadd787a2d4579829e4b5b40c7f44d0f9ccc2fb3421cd60c","observation_id":"5f504ffd-dee3-4ba9-9d53-9c44bb911bd5","resolution":{"observed_at":"2026-08-05T15:34:18.300541Z","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":"2026-08-05T15:34:21.905706Z","title":"Vector quantized diffusion model for text-to-image syn- thesis","venue":null,"work_id":"89990a95-b98f-41f6-8f17-2a088e484984","year":2022},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:18.487375Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:d5c92742f2d9f6373c2f1687d2f78fd2fbab7a6f51bd20e3fef20178cee06788","observation_id":"b07b66b0-2eaf-4cd8-b3b7-e103652d38dd","resolution":{"observed_at":"2026-08-05T15:34:21.910293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.889507Z","title":"Asic: Aligning sparse in-the-wild image collections","venue":null,"work_id":"80a8df53-5855-40ec-b6ac-3bcb28afb2bc","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:18.635759Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:e9038f6b24342aa5e8349214cb18508bcd4761516c1a924c1030c1efae3d7643","observation_id":"bf6c8fca-378b-4c78-a971-6aa95654a7c1","resolution":{"observed_at":"2026-08-05T15:34:21.894497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.873751Z","title":null,"venue":null,"work_id":"42607784-ed51-4e41-ba47-6b8c13804c91","year":2022},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:18.777685Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:5c00ea84cf9db8ff620fc4a685b4d5a1c9a7e2a8aaabf1df4022b0393df05384","observation_id":"242d383a-0b7a-47ba-a89b-aa1b969a5025","resolution":{"observed_at":"2026-08-05T15:34:21.878572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.857730Z","title":"Unsupervised semantic correspondence using stable diffusion","venue":null,"work_id":"60c4dcd0-7e88-4412-a976-639087ed5164","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:18.919037Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:a65f7503e571d564a31a04e54ad33757f9794a0d7c5ceb47bdabb6e45838efc6","observation_id":"79634c29-e820-4a9a-9d3b-e254dd34203e","resolution":{"observed_at":"2026-08-05T15:34:21.862274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.841674Z","title":"Prompt-to-prompt image editing with cross attention control","venue":null,"work_id":"f762ebbc-d3c6-4590-bca4-5d94e752086a","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:19.095016Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:3db44408cfc7d26533dee34bfdaf6b1aade68933fbb8e672993a5a9bb80b8c5d","observation_id":"a7a7e7e9-782c-42b8-81da-02ac1cfc5221","resolution":{"observed_at":"2026-08-05T15:34:21.847279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-05T15:34:19.265399Z","title":"Gpt-4o system card","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:19.265399Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:c67947e64a9b468ffc6f4f1dcf433446d60fb828d060c88f1bc32bf4a39b931b","observation_id":"d1a2a2ab-45c0-4c81-a12b-a375d5e64650","resolution":{"observed_at":"2026-08-05T15:34:19.265399Z","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":"2026-08-05T15:34:21.822416Z","title":"Segment anything in high quality","venue":null,"work_id":"5851e68b-1e4d-473e-b492-bb311b2c20ad","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:19.442870Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:5b643315696c032adbe5fb578f5290c34c7ad7295ffef16299a80212efb1487e","observation_id":"6e847e3b-c5fb-47ca-9027-3748e5fa4253","resolution":{"observed_at":"2026-08-05T15:34:21.827801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17850","last_updated":"2024-07-25T08:07:40Z","snapshot_observed_at":"2026-08-09T22:08:38.103870Z","submitted_at":"2024-07-25T08:07:40Z","title":"FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing","version":1},"cited_work":{"arxiv_id":"2407.17850","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.17850","snapshot_observed_at":"2026-08-05T15:34:21.387007Z","title":"FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing","venue":"cs.CV","work_id":"d39f63fb-2bce-4116-affb-d010501f0abc","year":2024},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:19.579696Z"},"links":{"cited_paper":"/paper/2407.17850","citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:3b15c0c3ada220eb7d4a003a96571c5a18eb51dc3597186d5f27f23e93f4d08e","observation_id":"d0542631-3136-4d72-8ac2-bf4c39400419","resolution":{"observed_at":"2026-08-05T15:34:21.394543Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.804156Z","title":"Diffusion-based image translation using disentangled style and content representation","venue":null,"work_id":"3eb37a51-57fa-43c1-a359-8fef240d3180","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:19.761849Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:9bb1b2ad485a8bd23b827c2aef14cc54ae1719e0b3b882edfb59a1f9ddaba1fa","observation_id":"9174c76d-eb6d-4fbe-b20f-907e3c23b86a","resolution":{"observed_at":"2026-08-05T15:34:21.809779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.783174Z","title":null,"venue":null,"work_id":"44ff6219-d196-440b-ab79-5e26325b1f89","year":2021},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:19.928455Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:20866e4014775c6ddc0cf8ce408bc1f98937211a4516d28a835bb9e89010a395","observation_id":"934879da-da9b-45e0-88e5-d2bf3e2565c6","resolution":{"observed_at":"2026-08-05T15:34:21.790465Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.765395Z","title":"Zone: Zero-shot instruction- guided local editing","venue":null,"work_id":"15a947e8-4df3-491f-876a-c063edaa3940","year":2024},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:20.030118Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:b620ab299713b54ab39bab205cf92d3b0fb6744381d9e10b9f94e96d22b91c97","observation_id":"abf8b3c1-be3c-48b4-b715-ccea088631f7","resolution":{"observed_at":"2026-08-05T15:34:21.770471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.746405Z","title":"Towards under- standing cross and self-attention in stable diffusion for text-guided image editing","venue":null,"work_id":"685db0ab-2d68-4228-89d7-957c98aea9d8","year":2024},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:20.161672Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:cd22ffc136b5c5bc8d5bb311822f96e2897efdcc53cc4484faa0989a61dc8334","observation_id":"f72e816f-9a43-42ce-8b31-d5d6dc86928f","resolution":{"observed_at":"2026-08-05T15:34:21.752400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.726498Z","title":"G-eval: NLG evaluation using gpt-4 with better human alignment","venue":null,"work_id":"431e9998-0929-4059-87fa-921a514f4828","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:20.291941Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:d079665d8edbb0012e52c2ad9963d8f29cd99c2909747cdc3122ad437a3dddba","observation_id":"d147812b-3203-4249-aa2c-47d6d0befa30","resolution":{"observed_at":"2026-08-05T15:34:21.731719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.707262Z","title":"Distinctive image features from scale-invariant key points","venue":null,"work_id":"264dcf38-9dca-4eff-a08b-2b99d64322c5","year":2004},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:20.383886Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:52d506955a5e791b422889bbf5e16d5a21fe952be446f7b6356efd98dfd78057","observation_id":"a4d88bb7-b916-4166-b68d-91f49940799d","resolution":{"observed_at":"2026-08-05T15:34:21.712741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.675916Z","title":"Diffusion hyperfeatures: Searching through time and space for semantic correspon- dence","venue":null,"work_id":"d7e995ad-2ee9-42fa-8ed6-33acfd2cf67d","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:20.471259Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:d62492c6bb59528b36363915f8a0687dddfb1ea528777239234d39b4e2abc8c8","observation_id":"0cb218b8-63e4-4b70-9faa-41f406959e40","resolution":{"observed_at":"2026-08-05T15:34:21.684119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.654920Z","title":"Dragondiffu- sion: Enabling drag-style manipulation on diffusion models","venue":null,"work_id":"7a39d087-0dfe-4db6-be08-651863783788","year":2024},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:20.522697Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:ab80152d37f857a8ebc91d6565195df26cf936e202d3e67ec42bffbb1ef95fbd","observation_id":"6f2f4486-e950-4902-be9b-4f3d730b5c6c","resolution":{"observed_at":"2026-08-05T15:34:21.661040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.637236Z","title":"Zero-shot image-to-image translation","venue":null,"work_id":"1a1962b9-96f1-418e-9749-c00978ab5dcf","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:20.603120Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:a2b93a593ed686caf487c5846bf757f30e6a8b47b88bf15451eeca885362155f","observation_id":"489acfe2-d44c-4544-9e2e-c2bdf833474c","resolution":{"observed_at":"2026-08-05T15:34:21.642688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.06125","last_updated":"2022-04-13T01:10:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-13T01:10:33Z","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.06125","snapshot_observed_at":"2026-08-05T15:34:20.710573Z","title":"Hierarchical text-conditional image generation with clip latents","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:20.710573Z"},"links":{"cited_paper":"/paper/2204.06125","citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:ef5c5c0fd59d18efc4d13f5c34c1fbbbba20af72d558111fd1c62c5b477e1b63","observation_id":"185347f7-25dc-4d15-839a-cf81ecefd7f8","resolution":{"observed_at":"2026-08-05T15:34:20.710573Z","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":"2026-08-05T15:34:20.809252Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:20.809252Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:1a741034dfc8d2b6173e5c9688678207c2b11d778b7bb89df8e073ed948b2c1d","observation_id":"9409e152-e09d-446f-9985-a0cc81690618","resolution":{"observed_at":"2026-08-05T15:34:20.809252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-07-06T03:53:32.549552Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-05T15:34:20.952978Z","title":"Very deep convolutional networks for large- scale image recognition","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:20.952978Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:e8078f5868ab454e1cf3fdf9f7751e6d692659b6fcac95e6039b368f5c300e7d","observation_id":"09d6c7e0-75cb-4e41-bef9-1912edd4111f","resolution":{"observed_at":"2026-08-05T15:34:20.952978Z","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":"2026-08-05T15:34:21.603684Z","title":"Emergent correspondence from image diffusion","venue":null,"work_id":"d38ed879-d218-4e1a-9891-e0ed1278febf","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:21.083949Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:3cd521dbc50038b525c0ca31941b8a06b88ccc65bf9f749b0514d8f8110ac2b5","observation_id":"c4b10ab4-731e-4346-bb66-4add1c903352","resolution":{"observed_at":"2026-08-05T15:34:21.608598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.586573Z","title":"Raft: Recurrent all-pairs field transforms for optical flow","venue":null,"work_id":"bf5b7537-e403-4175-9c86-974b869e8bdd","year":2020},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:21.194172Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:5095bf8c343f12a4cc68f798a84655531a8451915dd09d238c9e3b2894d994e9","observation_id":"bab07bcb-06b3-4a94-8e3e-efd9bb3bf546","resolution":{"observed_at":"2026-08-05T15:34:21.592116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.568787Z","title":"Gocor: Bringing globally optimized correspondence volumes into your neural network","venue":null,"work_id":"11612103-4fc8-4ac8-a2d0-9cd5fb7aa7d8","year":2020},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:21.252970Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:94cfa0ecd22a29a6f367b25c315590cb6ed0e3a3d37fde5b5343990cbaa6f34d","observation_id":"f6be239a-5a1a-4fe2-ac74-7fc2ba1911f2","resolution":{"observed_at":"2026-08-05T15:34:21.574502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.547020Z","title":"Splicing vit features for semantic appearance transfer","venue":null,"work_id":"3dcf94bb-83eb-4f29-9c90-9c7a3817e641","year":2022},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:21.262629Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:18ab928659d0d42985f3d4d58177d2b98a4e3afab2674af22ac42f67d891aaa0","observation_id":"1a45be06-1d10-4208-8421-65e7f505f29c","resolution":{"observed_at":"2026-08-05T15:34:21.552707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.525540Z","title":"Plug-and-play diffusion features for text-driven image-to-image translation","venue":null,"work_id":"aaeb4807-0e3c-42e3-b79d-bbae548517dd","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:21.271521Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:67912ded444d0b9a239915bfddd3492731a199d707ebb397d4cd121f7843981b","observation_id":"6a8cc208-a33b-43ef-bb0c-e4a9fdf81bc5","resolution":{"observed_at":"2026-08-05T15:34:21.532018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.277930Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:21.277930Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:fa9d2e8402cbaf8870823895e9c5934418ba7c7305fcad84c8e2b31be5b1be03","observation_id":"80345bec-db5b-48ac-9110-41a062a32dfc","resolution":{"observed_at":"2026-08-05T15:34:21.277930Z","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":"2026-08-05T15:34:21.497031Z","title":"Dy- namic prompt learning: Addressing cross-attention leakage for text-based image edit- ing","venue":null,"work_id":"7abc8e50-784f-4182-9303-6a0cd8e5ba05","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:21.283186Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:e8df1f7d13a6d3cda5d36a02f5ca83860003788c0d8ecd31bca132437a643164","observation_id":"3002fdf0-fb36-4952-bdd3-19c8f68bc6d1","resolution":{"observed_at":"2026-08-05T15:34:21.503115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.480513Z","title":"Inversion-free image editing with language-guided diffusion models","venue":null,"work_id":"0e25f5dc-94a6-4fcc-a323-87aa54f63e00","year":2024},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:21.288542Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:4faaf70ee63e1f5f7b97af71d3baf7b17c0882a471d467a72aa3b4c7fb3400ba","observation_id":"3431bb96-32e2-43f6-bdb0-146eb9d06002","resolution":{"observed_at":"2026-08-05T15:34:21.485855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.460537Z","title":"A tale of two features: Stable diffusion comple- ments dino for zero-shot semantic correspondence","venue":null,"work_id":"e7e54265-8d08-49af-a155-b3edd66432a0","year":2023},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:21.293282Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:eb2bb7f419350e7f396b8e303328c763fb866f56519c047878b27bcdc357d49f","observation_id":"3f24e544-e1c9-48e3-868e-8b95467d3fcd","resolution":{"observed_at":"2026-08-05T15:34:21.466394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:34:21.443834Z","title":"Alignment attention by matching key and query distributions","venue":null,"work_id":"581e64c4-7b8e-44fa-9a4c-7fab5a32cc35","year":2021},"citing_paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T15:34:21.298718Z"},"links":{"citing_paper":"/paper/2508.21090"},"observation_digest":"sha256:43a1953aaee3884c78ad24259cee92cf1adb9580a3896b3dc5df0b58fb5bc5ee","observation_id":"706de70b-22d5-474a-8468-146c78ef3b18","resolution":{"observed_at":"2026-08-05T15:34:21.448869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.21090","last_updated":"2025-08-27T09:54:23Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T05:15:24.551159Z","submitted_at":"2025-08-27T09:54:23Z","title":"Q-Align: Alleviating Attention Leakage in Zero-Shot Appearance Transfer via Query-Query Alignment"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":1,"verified_fuzzy":27},"total_outbound_references":39},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2508.21090."}