{"as_of":"2026-08-09T15:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:142305c57063196508a333c1fe63d414404ea4d8f119fce2c73f292b08485431","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":"2026-08-06T16:56:56.783905Z","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":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.12420/citation-record","integrity":"/paper/2507.12420/integrity","json":"/paper/2507.12420/citation-record.json","paper":"/paper/2507.12420"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T16:57:03.420877Z","title":"Yolov4: Optimal speed and accuracy of object detection, 2020","venue":null,"work_id":"10e79781-89c3-4651-9ca9-0e6c9a0a326f","year":2020},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:53.775345Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:dca326b288ab4a53ca539a875179de3b8b68a2c1d81dbb195399777abf263083","observation_id":"5b1dab3d-f3a2-4817-8197-5470c8dd6212","resolution":{"observed_at":"2026-08-06T16:57:03.522230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:03.278705Z","title":"A method of object detection with attention mechanism and c2f dcnv2 for complex traffic scenes","venue":null,"work_id":"af9c894d-6c71-4e4d-9886-1d7326836347","year":2025},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:53.818501Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:51c9a2c3eec487727df890cf57d7d48e21fd64b5f4117931d6b1af2b80276f84","observation_id":"5c14a848-13ac-420a-a73c-31fb01240f1f","resolution":{"observed_at":"2026-08-06T16:57:03.353347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:03.134920Z","title":"Visdrone-det2021: The vision meets drone object de- tection challenge results","venue":null,"work_id":"a1811d9c-8afb-4be4-94fc-75e25de4b7e5","year":2021},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:53.911555Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:a2d930c7fa34a3d11e67415489b1251e30cd9755169bc3ecb732aa805fb5fa22","observation_id":"fec985e2-1247-46df-8856-75f1849b4ee3","resolution":{"observed_at":"2026-08-06T16:57:03.198212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:02.981885Z","title":"Dynamic correlation learn- ing and regularization for multi-label confidence calibration","venue":null,"work_id":"759fb468-7ea3-417a-9b15-f9d81b8868ef","year":2024},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:53.974293Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:77ee576123f380aac18b3b522e629c71f41f5812bd5c6017b5c7e7d8c85c7068","observation_id":"2cd626d9-9ca6-4826-882f-8ace419077a1","resolution":{"observed_at":"2026-08-06T16:57:03.073464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:02.849964Z","title":"Object detection for autonomous vehicles under adverse weather conditions","venue":null,"work_id":"d953af6e-f56e-4773-aecd-56342c1b22a4","year":2026},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:54.048852Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:5bdcf404ccf0db87498847b34b811405dfda01775dd9c67f5aa212905d8f4043","observation_id":"1a4c19d4-6e49-40eb-8b2b-bafa832d3195","resolution":{"observed_at":"2026-08-06T16:57:02.919079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:02.692492Z","title":"A virtually as- sisted digital twin enabled object detection in smart indus- trial manufacturing","venue":null,"work_id":"fc941c06-26a7-4a8e-9ade-8fa455d53470","year":2025},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:54.132304Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:0b9eddbc30bee54c57e899ecba49c2db8be8a1d72aa37eccf85785e4d2740cb1","observation_id":"d821a3f1-febb-4194-99c1-54f527d7fdd8","resolution":{"observed_at":"2026-08-06T16:57:02.781499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:02.529812Z","title":"Dynamic fea- ture and context enhancement network for faster detection of small objects","venue":null,"work_id":"2f61bba8-a6e8-4499-8ad2-d8c5687b610c","year":2025},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:54.263896Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:b16b0bdc21fb2663ef6732f69a7a5a10776ba4ba77d3dee5ee728c7110071a2f","observation_id":"5af626cb-d3e2-45b2-b9be-95741bd65275","resolution":{"observed_at":"2026-08-06T16:57:02.614951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:02.385410Z","title":"Adaptive feature fusion and task-dynamic alignment for real-time object detection on edge devices.Ex- pert Systems with Applications, 290:128341, 2025","venue":null,"work_id":"3d7a88c6-38fb-47f8-aee2-94c6a21bca9b","year":2025},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:54.345933Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:e264ed6befa3f7c0d30dee2a8cdd48b01cd3dd77659b6db852be6795009a9517","observation_id":"10a4f02d-f10a-41f3-b463-a8d13244270d","resolution":{"observed_at":"2026-08-06T16:57:02.437653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:02.220699Z","title":"Everingham, S","venue":null,"work_id":"3d981ee0-2654-4858-aeb1-24c85f62d8ff","year":2015},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:54.424322Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:a8e01f41ee51c29034fab76a893b2ee642cb3de3eaebe09cbb7d18e74419afc9","observation_id":"97bae662-74f5-43c5-863e-c81ed3d56cc9","resolution":{"observed_at":"2026-08-06T16:57:02.300313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:02.051129Z","title":"Lud-yolo: A novel lightweight object detection network for unmanned aerial vehicle","venue":null,"work_id":"f68bbda0-3b44-4556-aa04-f941edd07393","year":2025},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:54.486046Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:d2605ca87439c4c3e5023e855f8ca951ec525c6948d81a249b120de5994e8efb","observation_id":"ddba1a12-7f02-41df-89ee-cc6929179278","resolution":{"observed_at":"2026-08-06T16:57:02.159177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:01.882741Z","title":"Scott, and Weilin Huang","venue":null,"work_id":"30f01df2-ac7e-441c-969b-50d4f837258d","year":2021},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:54.582000Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:8c2577cde362acebf32abba2eaafaf4563107d8dd53141b418385e9e3c67022c","observation_id":"78dcf5d0-fe3e-41ff-9118-7c9c440160c6","resolution":{"observed_at":"2026-08-06T16:57:01.969407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:01.740982Z","title":"Rc-detr: Improving detrs in crowded pedestrian detection via rank- based contrastive learning","venue":null,"work_id":"7e91a063-d514-403b-b7f8-eb78d86d5a9f","year":null},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:54.650601Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:ed5bca432cb7be3fcc68b373069f159286f02344e0be88a97b4416d5e5dc71c2","observation_id":"8177f6ff-6596-4bd1-a809-96ec1f37a09e","resolution":{"observed_at":"2026-08-06T16:57:01.794930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:01.556800Z","title":"Yolox: Exceeding yolo series in 2021, 2021","venue":null,"work_id":"f6f912af-e5f9-45ab-892c-f7a60b025640","year":2021},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:54.698001Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:a3cc0ed4d44e033608a9233ad94d907783a2bcd86885ae906b30d79760714522","observation_id":"2e783781-a589-4066-8d09-8a8d2c7eadf5","resolution":{"observed_at":"2026-08-06T16:57:01.630231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:01.412541Z","title":"Siou loss: More powerful learning for bounding box regression, 2022","venue":null,"work_id":"87df34cf-28f0-476b-956c-b7ea4e9aafe5","year":2022},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:54.793396Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:6b7f868da2980aac49e38f255eb48d4f35a7a1cd60c9e1ca4aff03ab759ab231","observation_id":"909ea719-cf1b-468a-8456-ea91ed78a2dd","resolution":{"observed_at":"2026-08-06T16:57:01.456958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:01.155141Z","title":"Girshick, J","venue":null,"work_id":"a0b1dc3c-3f90-4a23-9f96-b6670ba953c9","year":2014},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:54.883138Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:551e7b89b469d5096753a1e7d96d50f87825fcb557fcf29aef96d2c96e795b17","observation_id":"9f6ef005-9de1-4cf4-bb8d-9f99b36132a7","resolution":{"observed_at":"2026-08-06T16:57:01.254378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:00.931615Z","title":"Girshick","venue":null,"work_id":"f991fb87-94d6-4c08-bd28-cd2fc3343f1e","year":2015},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:54.954599Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:7184b79f5dd05f9c1375dc903d16339395a655a40d5310d76ddfc62e2f3bfac8","observation_id":"7450c866-25b8-46f9-9cab-a44ef636501b","resolution":{"observed_at":"2026-08-06T16:57:01.052234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:00.629268Z","title":"Mfel-yolo for small object detection in uav aerial images","venue":null,"work_id":"b13f25b4-f7ff-4b58-90d6-aaf67ebd7328","year":2025},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:55.050971Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:432d6a5b54cfe8839ff123fe8ef7d79b4513c0a257992da97bcc575772a37a13","observation_id":"6516714a-77de-432f-9088-c3a4e94e76bf","resolution":{"observed_at":"2026-08-06T16:57:00.766896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:00.371498Z","title":"YOLOv5 by Ultralytics, 2020","venue":null,"work_id":"46982f08-2109-44b6-ac38-c1e512643551","year":2020},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:55.140572Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:92a736eb0b521b30eafd45ec2ccd08ed72095090298ed1dd0a243822adbb5899","observation_id":"3057e4f8-ab82-463f-8f78-23ed7b458d2d","resolution":{"observed_at":"2026-08-06T16:57:00.516326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:57:00.022450Z","title":"Ultralytics yolov8, 2023","venue":null,"work_id":"4ce8221e-6f0a-461b-97fb-fb296c253d6a","year":2023},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:55.233042Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:10ced94f888b78656f3c4f469c3b11998d602c2bcea4470057d934447ef5ea79","observation_id":"90153728-371f-4db3-8801-03e3e6246993","resolution":{"observed_at":"2026-08-06T16:57:00.200847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.0312","last_updated":"2015-02-21T01:48:49Z","snapshot_observed_at":"2026-07-06T03:42:37.507458Z","submitted_at":"2014-05-01T21:43:32Z","title":"Microsoft COCO: Common Objects in Context","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1405.0312","snapshot_observed_at":"2026-08-06T16:56:55.304610Z","title":"Belongie, Lubomir D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:55.304610Z"},"links":{"cited_paper":"/paper/1405.0312","citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:b9a6d19dbaff05c1870ab991eb8ea15e3437eb2cfd5951639f4750ca191f18ad","observation_id":"39490842-9b60-4541-9b97-73b168be8ec8","resolution":{"observed_at":"2026-08-06T16:56:55.304610Z","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":"2026-08-06T16:56:59.823752Z","title":"Powerful-iou: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism","venue":null,"work_id":"4667be33-8928-4d2b-b65d-9f3197d020e3","year":2024},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:55.377451Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:058ee4e6dad3931b6b797c6d416081e71953c313713e17cec6843d376c2a8334","observation_id":"1d59a353-ef4c-4f74-8f30-8bd28512b60d","resolution":{"observed_at":"2026-08-06T16:56:59.907978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:59.600565Z","title":null,"venue":null,"work_id":"8a4748e8-6d54-4e4b-8529-8392b7aa03f3","year":2016},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:55.456719Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:5d8f694bfcea9533f7fec2f3211484ad94fa7c6528133faa4b632af3ad99a6fe","observation_id":"76d2bb95-3507-4098-abc1-d0ed9bfc9fcf","resolution":{"observed_at":"2026-08-06T16:56:59.674186Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:59.417262Z","title":"Yolov3: An incremental improvement, 2018","venue":null,"work_id":"dc9c766a-2f70-4a2f-aebb-61b625832800","year":2018},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:55.557245Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:626284e86019dde8659721c88b3cd63417ca6004fcba1a6aec0e59626a925f23","observation_id":"c94b0e51-0621-4fb3-b37e-ddbe37513971","resolution":{"observed_at":"2026-08-06T16:56:59.488053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:59.276529Z","title":"You only look once: Unified, real-time object de- tection","venue":null,"work_id":"105873bb-15d8-460a-ba2b-fd6e7188530e","year":2016},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:55.643793Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:348d216888834fc8790771bc8db40e2685560cbb2b0690722d6d15b90d33dd61","observation_id":"c3100c9b-864c-4d98-9795-15586d6facc4","resolution":{"observed_at":"2026-08-06T16:56:59.330628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:59.031669Z","title":"Girshick, and Jian Sun","venue":null,"work_id":"2f0bb3db-b688-4eeb-8385-af3177f59d94","year":2015},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:55.736204Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:7e9c31fd734c1343f9f781f5d1ad39e4a28b53cec8ecb8a9951e6d51081cdc0d","observation_id":"3b7aab79-db73-4ce8-8a02-ee78a5299ac1","resolution":{"observed_at":"2026-08-06T16:56:59.127371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:55.801319Z","title":"Generalized in- tersection over union: A metric and a loss for bounding box regression","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:55.801319Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:fb82b01b156924c479131624f673df15ea8ca5743bf8a7e92b8e3703ac9fa16f","observation_id":"f65e92f6-ca46-40ec-b446-14dcb7928348","resolution":{"observed_at":"2026-08-06T16:56:55.801319Z","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":"2026-08-06T16:56:58.749167Z","title":"Diff-mosaic: Augmenting realistic representations in infrared small target detection via diffu- sion prior","venue":null,"work_id":"31eaa9b0-49ec-42bd-ae72-25b2118a0553","year":2024},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:55.894558Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:1734e2d39d9850ed343013645c6f86aaad59031529f65ecbdf8f0c4023ecb9c1","observation_id":"56e3abdb-6e00-49de-8db1-f55173266472","resolution":{"observed_at":"2026-08-06T16:56:58.894007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:58.489401Z","title":"Multi- object garbage image detection algorithm based on sp-ssd","venue":null,"work_id":"b71a1131-f247-48d9-8320-9e456d57ae4f","year":2025},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:55.990929Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:d1ad4bdde2872f9d33923518c0f73eb35c8aa2ff02274882c8018c454850fc7d","observation_id":"950b254f-84d8-4faf-9775-c25ccf768857","resolution":{"observed_at":"2026-08-06T16:56:58.602541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.10051","last_updated":"2023-04-08T13:58:40Z","snapshot_observed_at":"2026-08-08T05:39:18.996995Z","submitted_at":"2023-01-24T14:50:40Z","title":"Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.10051","snapshot_observed_at":"2026-08-06T16:56:56.046779Z","title":"Wise- iou: bounding box regression loss with dynamic focusing mechanism","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:56.046779Z"},"links":{"cited_paper":"/paper/2301.10051","citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:8677400db38442eb27f6e127aee6116c97b26cb9e7a640d614dda7a303c58bba","observation_id":"42127ed4-4037-436a-95e8-2869fedc430e","resolution":{"observed_at":"2026-08-06T16:56:56.046779Z","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":"2026-08-06T16:56:58.292121Z","title":"Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, 2022","venue":null,"work_id":"4db25df7-2f9b-49e5-adda-3d578378e229","year":2022},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:56.111032Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:407afecdb962b9377d00745bf3a3df0a45767cd64a679a275661d9896f97f6cd","observation_id":"4b10888a-c208-4011-b96f-83332b30a250","resolution":{"observed_at":"2026-08-06T16:56:58.393789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:58.080353Z","title":"Density-guided two-stage small object detection in uav images","venue":null,"work_id":"93b3cdc5-8022-475e-b9e9-e2ae88e05e01","year":null},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:56.183857Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:eab08f66fd81d3e677996e9a522a8adff598cd5f6e9c0a25cc1b26e5b01ab678","observation_id":"ae89fc64-7c12-4a6d-a94f-5b05ca9172cf","resolution":{"observed_at":"2026-08-06T16:56:58.187969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:57.886814Z","title":"Unitbox: An advanced object detection net- work","venue":null,"work_id":"9e6b78cf-f809-4da4-8716-af99aa2d3181","year":null},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:56.274745Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:cbefdd50ed4ef11003ec0e0db4a43de3ed18dea78e47a3662aa1be106768377d","observation_id":"9437fea5-4dbe-41d7-a829-44fc88833a2e","resolution":{"observed_at":"2026-08-06T16:56:57.960066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:57.512749Z","title":"Esod-yolov8: Small object detection enhanced with auto- disturbance rejection convolution","venue":null,"work_id":"1e4ef88e-8b4d-4e46-8466-2a24b4fa69e9","year":2026},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:56.429261Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:17dc76887d7855e23d73a90ad5fac3cdbaad61acadf1fbffa41b8e85158af89b","observation_id":"22dc2bb4-605f-4455-8087-7b4ea7cccbe7","resolution":{"observed_at":"2026-08-06T16:56:57.567100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:57.404574Z","title":"Ni, and Heung-Yeung Shum","venue":null,"work_id":"50d62584-34e6-4d65-a28b-819469452a88","year":2023},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:56.491006Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:2bf849cb572084b2095751b4632f94ebd428ed318ca84fae6886956c6d180ba9","observation_id":"aa4abd5c-43db-497b-80b4-4fe8810e041a","resolution":{"observed_at":"2026-08-06T16:56:57.507608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:57.236053Z","title":null,"venue":null,"work_id":"bfe20f5a-cb95-4c13-9bc9-c4ad148e1d4a","year":2020},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:56.579541Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:3252b121a56cd5ede2aeb9792fc3f9a270e35ab14e26cfbc6634547d75f14a09","observation_id":"cfe1ea56-b790-4c7b-b751-197e41f8fe94","resolution":{"observed_at":"2026-08-06T16:56:57.320800Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:57.136196Z","title":"Focal and efficient iou loss for accu- rate bounding box regression","venue":null,"work_id":"4796feb4-86ff-405f-8fbe-05393e7ccc96","year":2022},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:56.653007Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:10a388e8c0c531a7fe4b88b32f378b6a853951f5c3801150b575257a196f46c0","observation_id":"193d46bd-9409-4091-b814-8058f0f2f399","resolution":{"observed_at":"2026-08-06T16:56:57.186733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:56.978689Z","title":"Distance-iou loss: Faster and bet- ter learning for bounding box regression","venue":null,"work_id":"e7ef5390-6273-4d94-8781-adb88894b411","year":2020},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:56.719938Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:b01824b11a2c477347e9e06de3523d7c49e4fa09307022677e43a07a451ca0bd","observation_id":"702cba7e-ab9b-471c-8d61-9b05f841aa5b","resolution":{"observed_at":"2026-08-06T16:56:57.058069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:56.878760Z","title":"Enhancing ge- ometric factors in model learning and inference for object detection and instance segmentation","venue":null,"work_id":"1791e6ba-18e4-45d2-a866-19647ba04197","year":2021},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:56.783905Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:5b5c0d8adb02de7e8de8b093a7f4c9d4b756fff2e58bda897f8586cac5281453","observation_id":"9bdc71a4-3a3d-4388-8dfc-f33c9361e328","resolution":{"observed_at":"2026-08-06T16:56:56.916343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T16:56:57.705512Z","title":null,"venue":null,"work_id":"f29fc66e-6faa-4b9c-813c-b28f0574ecf0","year":null},"citing_paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization","version":2},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-06T16:56:56.346839Z"},"links":{"citing_paper":"/paper/2507.12420"},"observation_digest":"sha256:184dd183997b3e8e0edf86de5972a7a287a26642f30a0ab72057546fee6ce8ec","observation_id":"42f61c49-c44c-4d70-bb23-3e3b24ab6dba","resolution":{"observed_at":"2026-08-06T16:56:57.788543Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.12420","last_updated":"2025-08-29T02:23:11Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T19:09:15.685805Z","submitted_at":"2025-07-16T17:09:04Z","title":"InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":33},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.12420."}