{"as_of":"2026-08-07T22:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f76011f254fbb79f054dbd61418b93ac767f615b01cdbaf72d93b0c59eaebfcf","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:54:50.996472Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2608.04394/citation-record","integrity":"/paper/2608.04394/integrity","json":"/paper/2608.04394/citation-record.json","paper":"/paper/2608.04394"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2101.09193","last_updated":"2024-03-12T09:22:32Z","snapshot_observed_at":"2026-08-05T04:36:32.543928Z","submitted_at":"2021-01-22T16:31:36Z","title":"Dense outlier detection and open-set recognition based on training with noisy negative images","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.09193","snapshot_observed_at":"2026-08-07T00:54:50.847944Z","title":"arXiv preprint arXiv:2101.091932(3) (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.847944Z"},"links":{"cited_paper":"/paper/2101.09193","citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:72184a6d1938a935013b202116213b5b7d0902bf7cea762d5dbd6ad331d16e3c","observation_id":"57dcb2ae-1cd0-4d90-9c26-921a269e567b","resolution":{"observed_at":"2026-08-07T00:54:50.847944Z","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":"2026-08-07T00:54:51.498773Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"161535bb-1491-4048-b11f-400c08010742","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.852188Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:78d401f5a0d0120047b4a5836413930f9af3fc38ae61ffda1a6b5d223111f45c","observation_id":"a7d12c85-77af-469f-856b-dcdd8536565a","resolution":{"observed_at":"2026-08-07T00:54:51.501882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:50.855623Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.855623Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:06e90a1c327dd57919556779c9dad2396a174986f824ab95c288478f473a726c","observation_id":"c4a8dce3-bb95-40a4-85de-a91200d3a806","resolution":{"observed_at":"2026-08-07T00:54:50.855623Z","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":"2026-08-07T00:54:51.485695Z","title":"IEEE Transactions on Knowledge and Data Engineering (2024)","venue":null,"work_id":"0b4cbc01-fac3-4af2-8734-16e8a5a8da04","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.858270Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:0823d358f37f232d2fbcb29607e8aae1d551af7ab67446bb58d5bed7f644753e","observation_id":"f452f721-8913-4c70-b967-64243dea302a","resolution":{"observed_at":"2026-08-07T00:54:51.488979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:50.861363Z","title":"In: Proceedings of the ieee/cvf international conference on computer vision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.861363Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:af71e5d0ac053ec3e95958e3dca93a2ff04c9f18927231a558ae0e278fa38c51","observation_id":"2679da08-7f61-4316-ba3d-3316db7595c4","resolution":{"observed_at":"2026-08-07T00:54:50.861363Z","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":"2026-08-07T00:54:51.473146Z","title":null,"venue":null,"work_id":"9f039eac-984a-4f8a-8346-452976405c39","year":2022},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.864258Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:43615dd81d115ad59df73d6da861bec949403c74a35b23291a165324d07b0906","observation_id":"b3829783-d319-4487-a06d-57341319cf0d","resolution":{"observed_at":"2026-08-07T00:54:51.475927Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.464176Z","title":"In: European conference on computer vision","venue":null,"work_id":"5039e5c7-3d3d-4b57-bf78-e0a7dd282831","year":2022},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.867027Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:1fff57e8a2358a4cb67a788bf8d2a0eefe5da8079d0afd3e994c172f9a165df8","observation_id":"a0e8380a-39a5-4437-a9ef-d632d9d5c80c","resolution":{"observed_at":"2026-08-07T00:54:51.467640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.456111Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"b03fe166-1e29-4398-ae98-fe4c02108fb0","year":2023},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.869814Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:0561c392c803868f6f8d094b6cb3d5367a055569094cbd901bc6377d760a8ed2","observation_id":"f9e27dab-4bfa-44ca-bed6-39eb856af709","resolution":{"observed_at":"2026-08-07T00:54:51.459062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.447289Z","title":"ACM Computing Surveys57(9), 1–66 (2025)","venue":null,"work_id":"afd62bf1-68c4-40e9-8a0f-baf56422e30f","year":2025},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.872456Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:11400b0db342869ad18bcb0d047f0ec16aceb18b9124d20e4c8b91f983a8704c","observation_id":"ddf13a56-3ef5-4e4e-8a03-745733d6cd30","resolution":{"observed_at":"2026-08-07T00:54:51.449998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:50.874824Z","title":"In: European Conference on Computer Vision","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.874824Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:1ab14002ffd7f346a7304313a344aa54265c61b30bf69b4dffb1d41ab95e142a","observation_id":"16502d93-e54f-4261-8a0f-f65377847e10","resolution":{"observed_at":"2026-08-07T00:54:50.874824Z","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":"2026-08-07T00:54:51.434632Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"3af8aa99-fc2a-48d3-b993-daf99bcb0b2f","year":2021},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.878362Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:a1dc810ebb3cf0a5c5a80c5e8686276e35d903e01437954ae0177af280c07430","observation_id":"c5336107-eda0-44a8-ae35-5552486b253d","resolution":{"observed_at":"2026-08-07T00:54:51.437432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.425194Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"a9ad4adc-ba64-415e-aaed-e3d0da5ce533","year":2023},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.881632Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:33f280c3ff6d0d522d0860ceaa783aa15b3ea4a5284b4ece3a619c155697416c","observation_id":"de069df8-9ff1-4efa-90e0-c1534f2fa9f2","resolution":{"observed_at":"2026-08-07T00:54:51.428783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.414796Z","title":null,"venue":null,"work_id":"771610ff-5285-4377-9cb9-e1f82a9d3056","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.884027Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:b95f032c2b9ed8d25b25bb6b63f5fa4d209b2510ecefdce9b54e3287d3d079fb","observation_id":"9acbe2d2-7bbf-4fca-97ec-5afde1c4a77f","resolution":{"observed_at":"2026-08-07T00:54:51.418844Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.407266Z","title":null,"venue":null,"work_id":"03eda1ff-fae1-4ba6-9e75-104f09d1ddf8","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.886427Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:a3f9abe83cc2f9a482ae4bd66c517c77a7cce5135ad5e8b858f614baef6ac681","observation_id":"88fd9328-3f99-4af7-816f-13b7f78a338e","resolution":{"observed_at":"2026-08-07T00:54:51.409738Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07574","last_updated":"2023-02-15T06:26:38Z","snapshot_observed_at":"2026-07-06T14:05:10.100398Z","submitted_at":"2022-10-14T06:54:24Z","title":"Is synthetic data from generative models ready for image recognition?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07574","snapshot_observed_at":"2026-08-07T00:54:50.888768Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.888768Z"},"links":{"cited_paper":"/paper/2210.07574","citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:3cb504a61117101e2bbc389ea9fb7e43b7d21551e99614dd2c346cab3da781b4","observation_id":"eab662ee-0bb0-4ad6-a007-255629963a0f","resolution":{"observed_at":"2026-08-07T00:54:50.888768Z","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":"2026-08-07T00:54:51.398720Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"b9916c17-0972-456d-b884-829adfc745da","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.891471Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:c08bb09b44a395b8a5d794e07fc700a5ccd9e9e45f8b5b35e44230d3b629bf22","observation_id":"29e2a9df-e63d-46a8-b6c3-080e87eeb936","resolution":{"observed_at":"2026-08-07T00:54:51.402509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.391610Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"628f2778-773b-45f5-a2fd-ee8ec4f5d5b2","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.894734Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:80e886f61c5305f5278760eb76363c41cccdcb79daafed193031890901bda81b","observation_id":"ce85ee0e-a6e1-4808-9307-4a3389ffebf9","resolution":{"observed_at":"2026-08-07T00:54:51.394249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.382811Z","title":"Neural In- formation Processing Systems,Neural Information Processing Systems (Jan 2020)","venue":null,"work_id":"e8c3280f-9861-4c9f-ad3b-fa11174da64e","year":2020},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.897106Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:61e8da0621f523c720805e406c05ac76317ec825b19082d828241a849859ca65","observation_id":"6f17d4c2-5990-4b97-b631-b38bb6621211","resolution":{"observed_at":"2026-08-07T00:54:51.386441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.374137Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence","venue":null,"work_id":"62d72937-1a4c-4e3d-96f2-93aefaac1c22","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.899670Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:ffa386c11335772b206b0d225da24550f319d22e11f835f23d4d73642bab042f","observation_id":"8ab1c863-049c-430f-94f1-0414e2114f04","resolution":{"observed_at":"2026-08-07T00:54:51.377179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.365239Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"2803ceee-55fd-4c1f-ae8d-507e76ab0106","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.901962Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:62d115bd29918a441c08ed92f1b1683c84b0e9571b53acef890b7e94470c769a","observation_id":"584bc4c9-a840-4e6a-9bea-03def56ccf41","resolution":{"observed_at":"2026-08-07T00:54:51.368419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.356927Z","title":"In: European Conference on Computer Vision","venue":null,"work_id":"bda23ee7-ab94-42b5-b62b-305c2635b352","year":2025},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.904374Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:a5d64b197718fad81cacb5b2f106a6ddcab27390ad5d82bbdc7ca10fa74d0546","observation_id":"19920fdf-7a41-4985-b167-030a4c3848a4","resolution":{"observed_at":"2026-08-07T00:54:51.359641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.349187Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"49b6817a-943b-4281-8c05-4d084c7af372","year":2026},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.907826Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:3422dcfbebccd3f76f13ab0592548e09f85b0212387b749b7b7e799e6d341dde","observation_id":"82bec2a7-b6e8-4b73-8f50-5a98fc136c04","resolution":{"observed_at":"2026-08-07T00:54:51.352271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.341875Z","title":"In: European conference on computer vision","venue":null,"work_id":"3c38b286-ab67-4a6c-82a1-594adbc729da","year":2022},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.910181Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:02f4545b3ff20094e24a9f0b289777fde90f1e7af90c6468b140e7ff068a4b80","observation_id":"8d80ead0-d5cf-4dd9-b9ad-a0b6b1bbb588","resolution":{"observed_at":"2026-08-07T00:54:51.344607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:50.912599Z","title":"In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.912599Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:983585cf20dd87fa2cf1ce11f054a1588d7ae7599e906ef4b4ebdae41a05c100","observation_id":"ed7d6208-0ba8-4ab7-b715-73bc3d97301a","resolution":{"observed_at":"2026-08-07T00:54:50.912599Z","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":"2026-08-07T00:54:50.915151Z","title":"In: European conference on computer vision","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.915151Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:ca00f11d35989251ea250497b28ab67d20f14b96a49a4baa3d67be54b71aefde","observation_id":"2ced57c8-1be1-4733-8dd5-43040ff5c937","resolution":{"observed_at":"2026-08-07T00:54:50.915151Z","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":"2026-08-07T00:54:50.917822Z","title":"arXiv preprint arXiv:2506.05872 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.917822Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:ba7bba36fdec93833ae2d27a5929acc56691b07e036a1ee0f264e4690b76eccc","observation_id":"66d0709b-69f8-4913-aaf1-e0c1f57db809","resolution":{"observed_at":"2026-08-07T00:54:50.917822Z","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":"2026-08-07T00:54:51.323894Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"d20ca5bc-96c5-4ee1-9096-2fcc1711bf2a","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.921436Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:7d48d6972fd05f65dc5a751560d024de252ac54314bf9a83884ec49c8572979a","observation_id":"74e6e7e1-75e0-4e93-889d-d2065d02d518","resolution":{"observed_at":"2026-08-07T00:54:51.327926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.05499","last_updated":"2024-07-19T06:00:41Z","snapshot_observed_at":"2026-07-06T15:00:58.804337Z","submitted_at":"2023-03-09T18:52:16Z","title":"Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.05499","snapshot_observed_at":"2026-08-07T00:54:50.924284Z","title":"arXiv preprint arXiv:2303.05499 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.924284Z"},"links":{"cited_paper":"/paper/2303.05499","citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:af0bffe00ed0193680cb75dd26fc6794a887e2676bde8fb3b61a021b7c6fd812","observation_id":"50560534-a230-483f-be5a-ad7247378cb4","resolution":{"observed_at":"2026-08-07T00:54:50.924284Z","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":"2026-08-07T00:54:51.315433Z","title":"In: Proceedings of the Computer Vision and Pattern Recog- nition Conference","venue":null,"work_id":"771f8742-b0b4-4164-94e6-2a36ede63054","year":2025},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.927313Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:f190ad95163b63d1cb4afb505a4126b9e5594c732a83e36a2058bf922600c2a6","observation_id":"877753b8-359b-4f54-8183-5cc4ed4f7451","resolution":{"observed_at":"2026-08-07T00:54:51.318634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:50.929908Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.929908Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:6d70886bc7d388dd7ea9163279b997b3f25c2ad0635cfda3ccc50ff1e9c73500","observation_id":"04582a8c-a49c-45aa-adfe-23484c6e7360","resolution":{"observed_at":"2026-08-07T00:54:50.929908Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.11970","last_updated":"2022-08-25T09:55:25Z","snapshot_observed_at":"2026-08-07T16:53:53.013522Z","submitted_at":"2022-08-25T09:55:25Z","title":"Understanding Diffusion Models: A Unified Perspective","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.11970","snapshot_observed_at":"2026-08-07T00:54:50.932994Z","title":"arXiv preprint arXiv:2208.11970 (2022) 18 Z","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.932994Z"},"links":{"cited_paper":"/paper/2208.11970","citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:fc6f56d0b695a05e23cc8b9fff4fcea49ed774c87dbd1b1f06c7383ed3851a52","observation_id":"b5edc2a8-8581-43aa-9995-a3608d65bec4","resolution":{"observed_at":"2026-08-07T00:54:50.932994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.01073","last_updated":"2022-01-05T00:07:35Z","snapshot_observed_at":"2026-07-06T11:34:54.333802Z","submitted_at":"2021-08-02T17:59:47Z","title":"SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.01073","snapshot_observed_at":"2026-08-07T00:54:50.935380Z","title":"arXiv preprint arXiv:2108.01073 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.935380Z"},"links":{"cited_paper":"/paper/2108.01073","citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:a85a05083c3034704d64c8671b14a9499604dc0342dd126484b65cf3c89b74d1","observation_id":"d3804e55-6612-4fba-b369-66cd555e21ea","resolution":{"observed_at":"2026-08-07T00:54:50.935380Z","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":"2026-08-07T00:54:51.303949Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":"b3c0effa-222b-4484-8268-53385c01802d","year":2021},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.939019Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:3b39a5c1d4ded7c3e581e4704275b765466f87de66721c44be05c7cc99b69409","observation_id":"7efb7a59-76c0-4680-bb89-68725ec0f852","resolution":{"observed_at":"2026-08-07T00:54:51.306844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.295282Z","title":"In: Proceedings of the Computer Vision and Pattern Recog- nition Conference","venue":null,"work_id":"95eaab9f-70b1-4f76-ae47-9aacb5721e00","year":2025},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.941337Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:35d059beb16a16175d600d339bc52a5a8dbab9a987492d5821f27f6e0f15be45","observation_id":"2b03e723-a2b3-4f94-9590-11f08ef74b30","resolution":{"observed_at":"2026-08-07T00:54:51.297976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:50.944125Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.944125Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:989a853e7744ae1fe096481e17520e43552b543514c59abeedb341bf392a6286","observation_id":"e1bea274-b6ea-4c4c-af84-2980b4f96949","resolution":{"observed_at":"2026-08-07T00:54:50.944125Z","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":"2026-08-07T00:54:51.283640Z","title":"In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"a2cebaeb-163c-4c40-a4b4-3818cf250d77","year":2023},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.947446Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:2c813ff311ff9d48b11d0ab262502e0ab8d778d44a4e9ab9bbd5fefb22f0414b","observation_id":"58e9f45c-8372-4141-ac1f-6d86ca3b47ed","resolution":{"observed_at":"2026-08-07T00:54:51.286942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.274927Z","title":"In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","venue":null,"work_id":"18e39c09-cc09-4ab0-8b20-3b0a946fea9c","year":2025},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.949848Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:943712a98213a32909179867f0a6dc8bd8f077b3920782677de3ba2683194257","observation_id":"4bfc869b-a6df-48b4-873b-d70e7a78fa7e","resolution":{"observed_at":"2026-08-07T00:54:51.278592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.266690Z","title":"In: Pro- ceedings of the AAAI Conference on Artificial Intelligence","venue":null,"work_id":"d4731cd3-768d-4ad5-81e5-a503f73534a2","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.952237Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:a4fdc9f72a17096933a42865367e0c18e630e8efdefed9c0c6b68bcdf246ef5a","observation_id":"50ed3855-1b1c-44bc-b586-2a1f0f1e6280","resolution":{"observed_at":"2026-08-07T00:54:51.269522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.258959Z","title":"arXiv: Learn- ing,arXiv: Learning (Oct 2020)","venue":null,"work_id":"f521e432-a5a1-4bd9-8573-85d6d3cff102","year":2020},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.954494Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:49666b834da07d5ce8197f0f80f900c5e603ed013331fad0e0786ee31654eb8d","observation_id":"055d8554-002b-42e6-b9d7-2bd9c79dbea2","resolution":{"observed_at":"2026-08-07T00:54:51.262039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.250750Z","title":"In: Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"777efb0e-2e67-41d8-9674-97039febd1fd","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.956939Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:c466f1bf490f72daea124a289e55d53157d3a9646468ba3157da6f274184c42c","observation_id":"3d6c3176-9e67-4120-b661-47aa385fde6b","resolution":{"observed_at":"2026-08-07T00:54:51.254223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.243946Z","title":null,"venue":null,"work_id":"e83abdd7-e053-4ff6-a691-d90660e647ef","year":2026},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.959745Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:1bd56d80eb309b70960afc6a397291bbaa6a046114de033bc0defe44977d77ed","observation_id":"8d7ce258-9a6c-4e01-97f3-c36c09ac0b73","resolution":{"observed_at":"2026-08-07T00:54:51.246418Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07944","last_updated":"2025-06-10T20:01:59Z","snapshot_observed_at":"2026-08-07T10:59:13.865982Z","submitted_at":"2023-02-07T20:42:28Z","title":"Effective Data Augmentation With Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07944","snapshot_observed_at":"2026-08-07T00:54:50.962497Z","title":"arXiv preprint arXiv:2302.07944 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.962497Z"},"links":{"cited_paper":"/paper/2302.07944","citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:e0d8874530981d71d997bc1d348de6cf53ef44d84cf83b80cc7d2b8773e25b19","observation_id":"1a48ab13-82ba-4b2b-9f90-51c3c9dbb2c4","resolution":{"observed_at":"2026-08-07T00:54:50.962497Z","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":"2026-08-07T00:54:51.236059Z","title":"In: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","venue":null,"work_id":"d1b02774-4149-4cc5-957d-fb213ac63eab","year":2023},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.965258Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:5f9b3e137755e71b848ee80b0bb5f9fe2d906656fdf2141563360ba6163f2c37","observation_id":"b5c9e1da-2844-4a49-a3b6-e82c0f7bbbfb","resolution":{"observed_at":"2026-08-07T00:54:51.239593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.227586Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence","venue":null,"work_id":"913f8031-7c69-4f34-859b-67a116d6225f","year":2026},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.968443Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:de98f2c83f6de2d9c1ba307d64397fa08075b0b1f4fb11f59860f491a2f164b3","observation_id":"de4dc4c1-81df-4ed6-be72-b035e2e0ff78","resolution":{"observed_at":"2026-08-07T00:54:51.231598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06721","last_updated":"2023-08-13T08:34:51Z","snapshot_observed_at":"2026-07-06T16:05:39.158819Z","submitted_at":"2023-08-13T08:34:51Z","title":"IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.06721","snapshot_observed_at":"2026-08-07T00:54:50.970885Z","title":"arXiv preprint arXiv:2308.06721 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.970885Z"},"links":{"cited_paper":"/paper/2308.06721","citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:ad2a3aa344518ea38553cfb74b14589f16798d7a7331de46902dfcb441d7c438","observation_id":"fe1f5574-6ad5-4119-812f-69ccac0b5474","resolution":{"observed_at":"2026-08-07T00:54:50.970885Z","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":"2026-08-07T00:54:51.218372Z","title":"Advances in neural information processing systems35, 6575–6588 (2022)","venue":null,"work_id":"615097b0-b277-4365-85dc-95b00e7ff8c0","year":2022},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.973953Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:6dcd4104389425d5f614ba4d418848028dd6c4b7aa4350d372e3b42b8a9992af","observation_id":"051a560a-2e95-4223-91a6-fa01d318d3bb","resolution":{"observed_at":"2026-08-07T00:54:51.221894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:50.976770Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.976770Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:06215f9af1e6f9094619a0f0a9b2e8525e95b7fd9ad03464622700ba5265bd86","observation_id":"63698e3d-ff9b-437e-95f8-497cacca2125","resolution":{"observed_at":"2026-08-07T00:54:50.976770Z","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":"2026-08-07T00:54:51.205768Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"25e37636-3be0-44d4-a511-8dcb9538e87b","year":2023},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.979213Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:a552893810fdcaf9952b9bfc195d07365c67c6a77539556393b0bb6e1b12019d","observation_id":"6bb172d9-e07f-4667-b545-562d50be8fa1","resolution":{"observed_at":"2026-08-07T00:54:51.208734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03048","last_updated":"2023-10-04T01:15:21Z","snapshot_observed_at":"2026-08-06T10:14:06.161139Z","submitted_at":"2023-05-04T17:59:36Z","title":"Personalize Segment Anything Model with One Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.03048","snapshot_observed_at":"2026-08-07T00:54:50.981726Z","title":"arXiv preprint arXiv:2305.03048 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.981726Z"},"links":{"cited_paper":"/paper/2305.03048","citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:9742de960043560a330034df95277f8b24226da0e316c3fd8e23ca428a4a8765","observation_id":"30a8db8d-8c20-4687-aa96-356f86555ea6","resolution":{"observed_at":"2026-08-07T00:54:50.981726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.12969","last_updated":"2024-10-02T19:26:18Z","snapshot_observed_at":"2026-07-06T16:22:26.069983Z","submitted_at":"2023-09-22T16:07:16Z","title":"Detect Everything with Few Examples","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.12969","snapshot_observed_at":"2026-08-07T00:54:50.984674Z","title":"arXiv preprint arXiv:2309.12969 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.984674Z"},"links":{"cited_paper":"/paper/2309.12969","citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:6649a89167e6446fef4b38d8a446b8428a88f32dcb7db23ae05b01860cd9e93f","observation_id":"62ad2285-9d60-44ee-9de5-15b6592e7e95","resolution":{"observed_at":"2026-08-07T00:54:50.984674Z","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":"2026-08-07T00:54:51.197517Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"d813778e-acbc-48f0-8d97-c3aa943b6b16","year":2026},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.987436Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:5d4c178690cd1d0d1ff48248381b776f50d29ff77c20b927f870bb34bb5944ec","observation_id":"caf925be-2ac3-4656-9018-0dc32d840f1b","resolution":{"observed_at":"2026-08-07T00:54:51.201028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.189201Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"4ae7bb60-2f52-40dc-946a-29025936c4e4","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.990297Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:9825da8902d8124a8b5f4e14b87ab66242afdde39ed1d6c34329113f9eb7ad76","observation_id":"e999832c-e54d-457e-ab8f-5e3675d87724","resolution":{"observed_at":"2026-08-07T00:54:51.192469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:54:51.176579Z","title":"Advances in Neural Information Processing Systems37, 116332–116354 (2024)","venue":null,"work_id":"b605c6d2-886d-499b-a646-5f688faf98aa","year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.993879Z"},"links":{"citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:c4fb0d9b7142eae9237ad7565476e896c2f537be76f16bc9629018e56ae9c3d3","observation_id":"800ea1b6-f780-45b1-8606-06989d656928","resolution":{"observed_at":"2026-08-07T00:54:51.181739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17022","last_updated":"2024-05-27T10:21:38Z","snapshot_observed_at":"2026-07-06T18:20:27.214667Z","submitted_at":"2024-05-27T10:21:38Z","title":"Compositional Few-Shot Class-Incremental Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17022","snapshot_observed_at":"2026-08-07T00:54:50.996472Z","title":"arXiv preprint arXiv:2405.17022 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T00:54:50.996472Z"},"links":{"cited_paper":"/paper/2405.17022","citing_paper":"/paper/2608.04394"},"observation_digest":"sha256:0b71879546ff3c64b866b4cc9fa107b3b4fbed9d00695f0c9c02887ccc77932e","observation_id":"d7e3bc59-deac-413c-960f-dbf784d9c22a","resolution":{"observed_at":"2026-08-07T00:54:50.996472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.04394","last_updated":"2026-08-05T02:56:32Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T21:17:17.361751Z","submitted_at":"2026-08-05T02:56:32Z","title":"Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":0,"verified_fuzzy":31},"total_outbound_references":54},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2608.04394."}