{"as_of":"2026-08-07T06:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d16e3367b59382cf83f5591cf40a952b20497bcee172040ee82a72ddc89d0b6c","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:18:09.953391Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T23:08:04.399168Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-18T12:51:23.704420Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"cited_work":{"arxiv_id":"2507.16254","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.16254","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Edge-case synthesis for fisheye object detection: A data-centric perspective","venue":null,"work_id":"5fbc9775-205a-4572-8482-6c5bb263aea3","year":2025},"citing_paper":{"arxiv_id":"2509.26158","last_updated":"2026-04-25T09:16:46Z","snapshot_observed_at":"2026-07-06T22:31:15.349221Z","submitted_at":"2025-09-30T12:11:25Z","title":"Towards Continual Expansion of Data Coverage: Automatic Text-guided Edge-case Synthesis","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-18T12:46:25.942761Z"},"links":{"cited_paper":"/paper/2507.16254","citing_paper":"/paper/2509.26158"},"observation_digest":"sha256:cda2e4e15d5218649c3b1342e880df694a5b8692dc0e307474a4a37bb8867666","observation_id":"606f1cdf-6290-4dd4-a389-3f2079f70259","resolution":{"observed_at":"2026-05-18T12:51:23.706838Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.16254","snapshot_observed_at":"2026-08-01T23:08:04.399168Z","title":"Edge-casesynthesisforfisheyeobject detection: A data-centric perspective.arXiv preprint arXiv:2507.16254, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15527","last_updated":"2026-07-17T00:26:07Z","snapshot_observed_at":"2026-08-06T19:29:28.909082Z","submitted_at":"2026-07-17T00:26:07Z","title":"Physics-aware Masked Diffusion-based Flood Simulation for Urban Fisheye Disaster Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T23:08:04.399168Z"},"links":{"cited_paper":"/paper/2507.16254","citing_paper":"/paper/2607.15527"},"observation_digest":"sha256:fed4978e3d0de4f4626e949f4c63c304ee88e35252b756a53b0cd85254a11b83","observation_id":"bdda10fb-9454-445a-b9df-6991706834a1","resolution":{"observed_at":"2026-08-01T23:08:04.399168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.16254/citation-record","integrity":"/paper/2507.16254/integrity","json":"/paper/2507.16254/citation-record.json","paper":"/paper/2507.16254"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:18:13.201496Z","title":"Slicing aided hyper inference and fine-tuning for small object detection","venue":null,"work_id":"ab7695bd-6975-47fb-88ca-4b31fd34a99b","year":2022},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:05.635394Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:9b7d9cbc5c8093a8b87a21641bb680ca1db188000773540c7eb2c55b5c617b1a","observation_id":"537e75a0-2328-4897-84ce-9c3e98c1b9fb","resolution":{"observed_at":"2026-08-06T15:18:13.205692Z","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":"2304.08466","last_updated":"2023-04-17T17:42:29Z","snapshot_observed_at":"2026-07-06T15:16:38.500909Z","submitted_at":"2023-04-17T17:42:29Z","title":"Synthetic Data from Diffusion Models Improves ImageNet Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08466","snapshot_observed_at":"2026-08-06T15:18:05.758862Z","title":"Synthetic data from diffusion models improves imagenet classification","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:05.758862Z"},"links":{"cited_paper":"/paper/2304.08466","citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:e7082e81d546d72161eebadd2d43f300823ab325435f07e47acdce8727b7dda7","observation_id":"f535f060-2a96-4d5e-9c19-02ad4f0d3629","resolution":{"observed_at":"2026-08-06T15:18:05.758862Z","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":"2026-08-06T15:18:13.188904Z","title":"Rain removal in traffic surveillance: Does it matter? IEEE Transactions on Intelligent Transportation Systems, 20(8):2802–2819, 2018","venue":null,"work_id":"c00f6599-2577-494a-b2e9-d86c3769db35","year":2018},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:05.858001Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:03fc913a2eef90d8bfff2803c05a13bd5c6e85ffbc2b1c69b5f0ee25308f924f","observation_id":"59a4a931-899a-417a-b185-fc4ebe49e880","resolution":{"observed_at":"2026-08-06T15:18:13.192616Z","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":"2026-08-06T15:18:05.939312Z","title":"End-to- end object detection with transformers","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:05.939312Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:3138ee08ee79f5041762cf8d72648c4c155ab8ef06d32b82487e77f3db80da33","observation_id":"ebcddd61-bebb-42d8-a13b-afae15e2122a","resolution":{"observed_at":"2026-08-06T15:18:05.939312Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04607","last_updated":"2024-02-17T01:43:45Z","snapshot_observed_at":"2026-08-04T14:22:04.423419Z","submitted_at":"2023-06-07T17:17:58Z","title":"GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.04607","snapshot_observed_at":"2026-08-06T15:18:06.011451Z","title":"Geodiffusion: Text- prompted geometric control for object detection data gen- eration","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:06.011451Z"},"links":{"cited_paper":"/paper/2306.04607","citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:cca0b796bb9f0ac9f9b0086374c309972980255ed555fc4c8416b681f4548638","observation_id":"a4a78754-8091-4075-8924-d3d0154af839","resolution":{"observed_at":"2026-08-06T15:18:06.011451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.06558","last_updated":"2024-11-15T14:38:32Z","snapshot_observed_at":"2026-07-06T19:48:10.800324Z","submitted_at":"2024-11-10T18:45:41Z","title":"Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.06558","snapshot_observed_at":"2026-08-06T15:18:06.126143Z","title":"Region-aware text-to-image generation via hard binding and soft refinement","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:06.126143Z"},"links":{"cited_paper":"/paper/2411.06558","citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:13586f82f75254de8ab73755542738f8f6bf09190eed94681b2eb89ac60c1817","observation_id":"af7351d6-2307-45ad-94a2-195c8401c7ad","resolution":{"observed_at":"2026-08-06T15:18:06.126143Z","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":"2026-08-06T15:18:06.197508Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:06.197508Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:2de53910299acfa86f6ff16c593946b7ec3f1b149c474cd54f76ef26ea7e054f","observation_id":"6f59fb92-15be-47e2-b95f-06d757c6048e","resolution":{"observed_at":"2026-08-06T15:18:06.197508Z","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":"2026-08-06T15:18:13.159602Z","title":"The unmanned aerial vehicle benchmark: Object detection and tracking","venue":null,"work_id":"22c8f4cf-07cf-409d-b588-928ef6bf53d3","year":2018},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:06.288713Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:e544374523a708a5498b1b9cf4835e265700c33308aaa15aba0b846c244c7186","observation_id":"e6ff9746-8277-4418-a4f8-936b7b25daab","resolution":{"observed_at":"2026-08-06T15:18:13.163387Z","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":"2026-08-06T15:18:13.147399Z","title":"Visdrone-det2019: The vision meets drone ob- ject detection in image challenge results","venue":null,"work_id":"74e1204e-7887-4b74-9c46-8576de88f5e1","year":2019},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:06.360211Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:91a45517011003331efe8920f1101ef10cd7378896cf2a2572459532c1e21ca6","observation_id":"8fc5bf0c-8312-443e-a2b1-b4b7ff291c9f","resolution":{"observed_at":"2026-08-06T15:18:13.151168Z","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":"2026-08-06T15:18:13.135395Z","title":"Robust data augmen- tation and ensemble method for object detection in fisheye camera images","venue":null,"work_id":"44742159-45e0-4ffd-96e0-5296aa8e8d26","year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:06.454591Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:ccfc06ace66b2246307a31feb951c709b10e9cb6fb4454c03fef352affa6d9ce","observation_id":"ff9d5e05-f26a-4319-9c3f-b5cc0aac3605","resolution":{"observed_at":"2026-08-06T15:18:13.139860Z","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":"2026-08-06T15:18:13.123695Z","title":"Sim- ple copy-paste is a strong data augmentation method for in- stance segmentation","venue":null,"work_id":"10e2b1c1-b126-4d86-87ef-c6998bc041bb","year":2021},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:06.490764Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:c08c5b9674bf0abc42f3e22cf439e5df27c685c7614bb4484d7fb95288adf175","observation_id":"85e1a9f5-259e-4620-a866-e018f1dde307","resolution":{"observed_at":"2026-08-06T15:18:13.127568Z","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":"2026-08-06T15:18:06.594751Z","title":"Fast r-cnn","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:06.594751Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:b5117779c4b0c50e1e449a33ffad09fcf1439c2ab5a412bd6ebfc3b8ce1b6c9c","observation_id":"4e16fd1e-0511-4e10-bff1-07e3d00632d8","resolution":{"observed_at":"2026-08-06T15:18:06.594751Z","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":"2026-08-06T15:18:13.101693Z","title":"Fisheye8k: A benchmark and dataset for fisheye camera object detection","venue":null,"work_id":"c3cc30d2-fadd-4396-a957-474f8ddfbdc9","year":2023},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:06.693516Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:253c010d0f1b05c075a8bd6eb6bb34da61bca7b216d6e30da6e9d9773059eedf","observation_id":"57c9084a-968b-4962-a2c0-cc1a6956dab3","resolution":{"observed_at":"2026-08-06T15:18:13.106114Z","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":"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":"2026-08-06T15:18:06.780393Z","title":"Is synthetic data from generative models ready for image recognition? arXiv preprint arXiv:2210.07574, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:06.780393Z"},"links":{"cited_paper":"/paper/2210.07574","citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:baa2faeb16650f664245e0231a68d46940691c1deb497a9634f832dd5d045ebb","observation_id":"b573f621-05f3-47c2-ace2-655eb5a8c9d2","resolution":{"observed_at":"2026-08-06T15:18:06.780393Z","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":"2026-08-06T15:18:06.855691Z","title":"Ultralytics yolo11, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:06.855691Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:930fb8a916f72b86f5970fad5b8e35ba97235fbdc12d8194aea6b5525e92789b","observation_id":"e7b27fb1-bbfe-44f5-8acf-dc1e9c9bd347","resolution":{"observed_at":"2026-08-06T15:18:06.855691Z","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":"2026-08-06T15:18:13.081827Z","title":"Ultralytics YOLO, 2023","venue":null,"work_id":"e454f14e-b7c0-41b6-ac7f-d6a98376a633","year":2023},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:06.941629Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:d7302b660cfef0d0b4772b11d29c22339648e50df5090bc2a0390ed5ad0ae460","observation_id":"ad84ed8a-1f6a-403b-98d2-3fc5508fbba4","resolution":{"observed_at":"2026-08-06T15:18:13.085734Z","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":"2026-08-06T15:18:13.070187Z","title":null,"venue":null,"work_id":"4a2d723b-c577-42b0-83bd-d6d1d903642e","year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.014472Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:1d996661d0b2aa50d9d4ba0d21cb19b6c490a4c1d80b6d4d688f9f6d3234bafa","observation_id":"b26970de-b06c-412d-87e9-b85d0f34b7cd","resolution":{"observed_at":"2026-08-06T15:18:13.073789Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:18:07.118271Z","title":"Gligen: Open-set grounded text-to-image generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.118271Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:89b8d1486229cd0cceae284bf807ba52d9b1428840cb1a161e751c8c2ce935f6","observation_id":"00a0eca7-bffc-4f83-9027-8ac55168daa4","resolution":{"observed_at":"2026-08-06T15:18:07.118271Z","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":"2026-08-06T15:18:13.050541Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":"083250fe-2724-4190-bb49-8aa95764a58a","year":2014},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.223397Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:da97cfd593989a79d5251a995545470eab30c5f2d7a8643cc0bd7b3832a2bc5c","observation_id":"01c62fb8-f815-43dc-b588-2f7764e61c69","resolution":{"observed_at":"2026-08-06T15:18:13.054102Z","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":"2026-08-06T15:18:13.039134Z","title":"Grounding dino: Marrying dino with grounded pre-training for open-set object detection","venue":null,"work_id":"fa7a112a-bff1-4eaa-a6af-d20f50e71f1a","year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.326546Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:9dff558bc41d70b1e3f25de6968e702eb2f6d68365270ea2ac17314350edc8f0","observation_id":"14b94772-dd7f-4ce4-8ce3-7dcf8dc95bfd","resolution":{"observed_at":"2026-08-06T15:18:13.042852Z","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":"2407.17140","last_updated":"2024-07-24T10:20:19Z","snapshot_observed_at":"2026-08-05T11:44:13.116614Z","submitted_at":"2024-07-24T10:20:19Z","title":"RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17140","snapshot_observed_at":"2026-08-06T15:18:07.424734Z","title":"Rt-detrv2: Improved base- line with bag-of-freebies for real-time detection transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.424734Z"},"links":{"cited_paper":"/paper/2407.17140","citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:4dabce34b634a5cd0e7e5287a8c9e7378f05b71cb5d7df0f72b2e604d336dc9e","observation_id":"b8c2b4b0-c829-4aad-9a72-905cf6d7ddea","resolution":{"observed_at":"2026-08-06T15:18:07.424734Z","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":"2026-08-06T15:18:13.027409Z","title":"Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation","venue":null,"work_id":"dd4c4a09-3215-44cf-81da-dc637cf9d8e2","year":2023},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.488780Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:72423c9fc379955d7cb75572731e66ecc2cceedb5934ddf4d3b1864f75e899f3","observation_id":"28c68384-db9a-4a10-b9bb-44e3d6f5343e","resolution":{"observed_at":"2026-08-06T15:18:13.031763Z","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":"2026-08-06T15:18:13.016264Z","title":"Gpt-4.1, 2024","venue":null,"work_id":"cb28d97e-1a90-4399-8aff-b3b9d6a431a6","year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.557129Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:7c7bdee27714cf31a3c7b021398c872ffe4c8980e635f3347ac79a39d63429ff","observation_id":"1f21dabc-18c9-48d7-ab4f-e2c58dc4792c","resolution":{"observed_at":"2026-08-06T15:18:13.019721Z","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":"2410.13842","last_updated":"2024-10-17T17:57:01Z","snapshot_observed_at":"2026-07-06T19:35:30.732080Z","submitted_at":"2024-10-17T17:57:01Z","title":"D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13842","snapshot_observed_at":"2026-08-06T15:18:07.613301Z","title":"D-fine: redefine regression task in de- trs as fine-grained distribution refinement","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.613301Z"},"links":{"cited_paper":"/paper/2410.13842","citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:fd233dda2069c122f734f3d1fd323729fd416ae0743576ad42ff44cdae156efb","observation_id":"d16382af-f5e7-4ce1-8e62-f46860cdb39b","resolution":{"observed_at":"2026-08-06T15:18:07.613301Z","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":"2026-08-06T15:18:13.003513Z","title":"Improving object detection to fisheye cameras with open-vocabulary pseudo- label approach","venue":null,"work_id":"e54facc3-7793-4ab6-98fe-9bf2654b7271","year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.656521Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:470a4febe2a244163be324913fed577915b413498cad37ad79c9cc705fe3bd01","observation_id":"4aa5875b-ff0d-45e0-a510-4e24e30261e9","resolution":{"observed_at":"2026-08-06T15:18:13.007753Z","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":"2408.00714","last_updated":"2024-10-28T16:37:57Z","snapshot_observed_at":"2026-07-06T18:55:41.459417Z","submitted_at":"2024-08-01T17:00:08Z","title":"SAM 2: Segment Anything in Images and Videos","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00714","snapshot_observed_at":"2026-08-06T15:18:07.723930Z","title":"Sam 2: Segment anything in images and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.723930Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:5e184ec42f700fdcc75457659b651204aca50b833880c505976a1c5a0f5a34e0","observation_id":"f0225bd9-0900-4854-b047-b0d3be055549","resolution":{"observed_at":"2026-08-06T15:18:07.723930Z","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":"2026-08-06T15:18:07.834930Z","title":"You only look once: Unified, real-time object de- tection","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.834930Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:a48e1c7098c5d81d53478ea22f7156eb9cca62b837f229700906cb138656f17f","observation_id":"b8edeec9-423d-4374-a861-d38ef2b1eadc","resolution":{"observed_at":"2026-08-06T15:18:07.834930Z","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":"2026-08-06T15:18:07.907164Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.907164Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:605ba03e7c240855754771e85797cfbf796af5315636e189640cae08b2a442a3","observation_id":"660aaf07-0eeb-4749-b7d6-da4c99a289f2","resolution":{"observed_at":"2026-08-06T15:18:07.907164Z","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":"2026-08-06T15:18:07.981866Z","title":"Photorealistic text-to-image diffusion models with deep language understanding","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:07.981866Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:f3b30ad1c57edd9b91ef089f07995dbf705de53067c08e054c7d42ba1f8ee771","observation_id":"c4fdacbf-ea5f-488b-ac12-2e3297172e2c","resolution":{"observed_at":"2026-08-06T15:18:07.981866Z","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":"2026-08-06T15:18:12.968408Z","title":"Better aggregation in test-time augmentation","venue":null,"work_id":"009cd1fe-9051-4fef-9cf8-8d8af8cf1561","year":2021},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.040350Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:29ba5e723253b678d17343a8d8ac13a88eaa9e5e060a23a2a2989b10632f59ee","observation_id":"2c277bb3-e219-449a-acc6-d27d77e534f5","resolution":{"observed_at":"2026-08-06T15:18:12.971839Z","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":"2026-08-06T15:18:12.957024Z","title":"Road object detection robust to distorted objects at the edge regions of images","venue":null,"work_id":"51dbb7ad-2e57-4ef0-a433-43fd296852e6","year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.113911Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:9246f71a0330c06d848078bef55b47dd2f7b17000821cbe73d23ccd58f521e15","observation_id":"fccfa956-1bb1-49ef-9247-d8ed62e85f5d","resolution":{"observed_at":"2026-08-06T15:18:12.960757Z","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":"2026-08-06T15:18:12.945184Z","title":"Weighted boxes fusion: Ensembling boxes from different ob- ject detection models","venue":null,"work_id":"aa7a1af3-83bc-44bf-94a9-74ae2a15a909","year":2021},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.209045Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:1fa832b28c981045388b14dc971227d9940496ee89420780b312c340d05caae1","observation_id":"7d7dfbea-a64a-462b-b9b1-72b140b0ce52","resolution":{"observed_at":"2026-08-06T15:18:12.949099Z","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":"2026-08-06T15:18:12.933958Z","title":"Aerogen: Enhancing remote sensing object detection with diffusion-driven data generation","venue":null,"work_id":"c43887be-c6a2-4396-9a88-1e40a6e19d68","year":2025},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.284224Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:770a3a4c3961a4a011a92622b9a35470f95daaa5fbbac5b27705d24cbb5bbdf3","observation_id":"35f4cfdd-b09b-4a57-8a4f-20fcdd8795eb","resolution":{"observed_at":"2026-08-06T15:18:12.937574Z","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":"2105.04206","last_updated":"2021-05-10T09:03:11Z","snapshot_observed_at":"2026-07-06T11:07:51.157786Z","submitted_at":"2021-05-10T09:03:11Z","title":"You Only Learn One Representation: Unified Network for Multiple Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.04206","snapshot_observed_at":"2026-08-06T15:18:08.334547Z","title":"You only learn one rep- resentation: Unified network for multiple tasks","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.334547Z"},"links":{"cited_paper":"/paper/2105.04206","citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:a707ce2e996d768ac2221385e07b20e4a1f3fc36beb721455879a3084a8848b4","observation_id":"d8a1dd72-72c1-48d2-8a29-602f1d79669f","resolution":{"observed_at":"2026-08-06T15:18:08.334547Z","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":"2026-08-06T15:18:12.922267Z","title":"Yolov9: Learning what you want to learn using pro- grammable gradient information","venue":null,"work_id":"2408a269-dd01-418b-8c51-eb2f1075ceac","year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.421986Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:6ed0fbf89d314e559fa8f6e1b698d0ce8a7604d0da77b1ab1e6fd22382674c75","observation_id":"1a4df800-cd62-49a7-a03f-75a861ede26b","resolution":{"observed_at":"2026-08-06T15:18:12.926381Z","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":"2026-08-06T15:18:12.909537Z","title":"Exploiting diffusion prior for real-world image super-resolution","venue":null,"work_id":"cbf8303f-7c99-44ea-91b5-74cafa01ff88","year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.490876Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:4f9d12e431601bda266f199a08948d2250d99655a9d6d8c3683c6e93e975f81c","observation_id":"6a70b3b2-80bb-4090-aa3f-2442ad1a128f","resolution":{"observed_at":"2026-08-06T15:18:12.914277Z","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":"2026-08-06T15:18:12.896504Z","title":"The 8th ai city challenge","venue":null,"work_id":"b9fc89f2-89ca-4f70-a602-2011840342e2","year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.572641Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:e974c59f8292a51fe0f0e8ffa5462a9bfe661c7da60562243e98789e604fa41a","observation_id":"f49da897-9b69-4c74-ab85-4c040a3f4b2b","resolution":{"observed_at":"2026-08-06T15:18:12.900576Z","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":"2026-08-06T15:18:12.870292Z","title":"Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions","venue":null,"work_id":"a0b7abdf-e9a5-4b15-9ebb-a0609aca9bb4","year":2023},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.667761Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:aa4f464b1915e03f0fd4359bdf084e9ecf7f3b05e6ef65be914a05b41f50ff91","observation_id":"ce214b7f-1be4-4e11-8e77-34fdd0df7fa4","resolution":{"observed_at":"2026-08-06T15:18:12.886201Z","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":"2026-08-06T15:18:12.686627Z","title":"Instancediffusion: Instance- level control for image generation","venue":null,"work_id":"8e287e39-bad3-44e4-b2b4-e7a806fbc6f3","year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.737525Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:f24df0a1e4422fe9c1b85528347cb52a9165548c07b9c61970c74582cd25a9a4","observation_id":"1ab8d84b-c06f-451f-8ebc-df68bd6ef2d5","resolution":{"observed_at":"2026-08-06T15:18:12.796665Z","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":"2026-08-06T15:18:12.526407Z","title":"Ua-detrac: A new benchmark and protocol for multi-object detection and tracking","venue":null,"work_id":"b73b17ce-bb54-44fb-9ad7-01ca73a26a79","year":2020},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.766143Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:5f356144916ad11fb230a249b9d9b19efbd308486251a33f128e710aec3f4f80","observation_id":"ffdd9fc2-e243-420b-9f0d-fbf3b45fe45d","resolution":{"observed_at":"2026-08-06T15:18:12.618534Z","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":"2026-08-06T15:18:12.219517Z","title":"Datasetdm: Synthesizing data with perception annota- tions using diffusion models","venue":null,"work_id":"f6e7028a-51ad-4779-bb22-ac8a2f214feb","year":2023},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.836472Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:64bf8b5e2bef3f00eb8046a0cca1e229173a7137cf436acf1cb657ed997e5aeb","observation_id":"3da5c2f4-4b30-460d-a9fe-102d33fa3ecc","resolution":{"observed_at":"2026-08-06T15:18:12.363046Z","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":"2026-08-06T15:18:11.993550Z","title":"Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models","venue":null,"work_id":"b7b8739d-bba3-4665-8841-bb51d302ec8c","year":null},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.908271Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:bc48c3debc264b2127125f7d39fc21ef5968268e943c7ad8d0744aed79687eec","observation_id":"fe60728a-c428-44e1-bc94-7a586988e323","resolution":{"observed_at":"2026-08-06T15:18:12.079805Z","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":"2401.00442","last_updated":"2024-05-13T15:18:57Z","snapshot_observed_at":"2026-08-04T02:22:30.542117Z","submitted_at":"2023-12-31T09:49:37Z","title":"A Comprehensive Overview of Fish-Eye Camera Distortion Correction Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.00442","snapshot_observed_at":"2026-08-06T15:18:08.980744Z","title":"A comprehensive overview of fish-eye camera distortion correction methods","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:08.980744Z"},"links":{"cited_paper":"/paper/2401.00442","citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:109b921d6790e2888c23f5bb12779cf0bbccf8a5a704570ad84222704f126f9f","observation_id":"707bf371-b52e-4be0-ba8c-455f7740bb77","resolution":{"observed_at":"2026-08-06T15:18:08.980744Z","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":"2026-08-06T15:18:09.053555Z","title":"Reco: Region-controlled text-to-image genera- tion","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:09.053555Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:cd7d17362c1b69d7d7d0103cd7c6b7cc857b8e94372e35360ab6ed70c00a66a2","observation_id":"27d0308d-20da-463a-bf27-178b0bd5fc05","resolution":{"observed_at":"2026-08-06T15:18:09.053555Z","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":"2026-08-06T15:18:11.717690Z","title":"Navigating text- to-image customization: From lycoris fine-tuning to model evaluation","venue":null,"work_id":"c678ade5-88bd-47d3-a782-39dfbdc499b9","year":2023},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:09.120145Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:65e7bd0f6c413995eca1a94296f862274240b72d398ca0f54fa9c2d226d9a43e","observation_id":"5216b767-0fc6-458d-8f8a-e789fc79b3e1","resolution":{"observed_at":"2026-08-06T15:18:11.816844Z","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":"2026-08-06T15:18:11.520086Z","title":"Detrs beat yolos on real-time object detection","venue":null,"work_id":"b5105b14-b952-4ad0-9a7c-df42eb359539","year":2024},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:09.215941Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:820acff929c2176a488389e8a810ff427a6b6d641a5dc3b63db0b1d4c3891d91","observation_id":"61b92aae-a01b-415e-9237-6a1b07474364","resolution":{"observed_at":"2026-08-06T15:18:11.620746Z","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":"2026-08-06T15:18:11.274606Z","title":"Migc: Multi-instance generation controller for text-to-image synthesis","venue":null,"work_id":"c33ba3b5-66a9-49d8-8384-bee241f0b0e2","year":null},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:09.282993Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:99eb43fab7b2b1f33c81aeb82c4fbef8eab6105f936f0b43345a737ee1d08478","observation_id":"c1f9b954-ffca-4828-9fdf-4e5211b2c077","resolution":{"observed_at":"2026-08-06T15:18:11.383702Z","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":"2503.12885","last_updated":"2025-04-12T13:35:37Z","snapshot_observed_at":"2026-07-06T20:53:45.936984Z","submitted_at":"2025-03-17T07:30:16Z","title":"DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.12885","snapshot_observed_at":"2026-08-06T15:18:09.380382Z","title":"Dreamrenderer: Taming multi-instance attribute control in large-scale text-to-image models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:09.380382Z"},"links":{"cited_paper":"/paper/2503.12885","citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:086bcad17995e8e4937543ee66204e3da27b5789f602a0aa8ed33aa886dfce5a","observation_id":"f6aa84b8-ba90-42cc-9005-615f5c732c5b","resolution":{"observed_at":"2026-08-06T15:18:09.380382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10479","last_updated":"2025-04-19T03:47:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-14T17:59:25Z","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.10479","snapshot_observed_at":"2026-08-06T15:18:09.464197Z","title":"Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:09.464197Z"},"links":{"cited_paper":"/paper/2504.10479","citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:133cab2c44292ad52c158eae94dbc7665a0f9c1e069f543c3b51b4580cc65d37","observation_id":"da3fab33-2813-4342-ae49-66c65a8daba1","resolution":{"observed_at":"2026-08-06T15:18:09.464197Z","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":"2026-08-06T15:18:09.555859Z","title":"Unpaired image-to-image translation using cycle- consistent adversarial networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:09.555859Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:504f829126f43ed6d19c9f073b6c2d57c914e7d9d510798800a4e35b43899c6b","observation_id":"032d00b4-e604-4a66-962d-dd9c01c88002","resolution":{"observed_at":"2026-08-06T15:18:09.555859Z","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":"2026-08-06T15:18:10.998102Z","title":"Detrs with col- laborative hybrid assignments training","venue":null,"work_id":"8db7f63a-786d-4df6-9783-2eaedce30341","year":2023},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:09.633565Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:f306c9bbc257b95de9f86541b74c56630fac39f4d8c3ae4b754b05cbd9139d6e","observation_id":"c9293b07-cd62-48ce-a00d-d1677b660f61","resolution":{"observed_at":"2026-08-06T15:18:11.106860Z","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":"2026-08-06T15:18:10.739110Z","title":"We specifically guided the model to ensure that the base captions included the key objects targeted in the fisheye dataset","venue":null,"work_id":"db71fd85-e6ea-41c1-84b7-4b5ab2b4e633","year":null},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:09.720173Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:71930ce0dcdc87aaf2476dde15a2c27ace6dfa05e07cc506c20d71eeaecbb525","observation_id":"6356e0e7-175a-444b-b0a8-a0b578e1410f","resolution":{"observed_at":"2026-08-06T15:18:10.903573Z","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":"2026-08-06T15:18:10.455116Z","title":"These prompts were given to GPT-4.1-mini to rewrite base captions that are originally extracted from real data so that they better describe the types of images we aimed to generate","venue":null,"work_id":"01627028-d2dd-409a-907d-c53e838e33b8","year":null},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:09.796638Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:4681a1e6d9c405c0e04c9c675df6cc34c29f6e8ab60ea1f7d63558a89b2c8f8f","observation_id":"e32549b8-0dc4-48e8-a184-ec54f38541cb","resolution":{"observed_at":"2026-08-06T15:18:10.609893Z","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":"2026-08-06T15:18:10.279787Z","title":"Figure 1 presents five representative examples, where each column compares images generated from the base pre-trained model (top) and our fine-tuned model (bottom)","venue":null,"work_id":"c26b33b1-be31-436b-a1c9-270d998fc01a","year":null},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:09.896027Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:11e63d7538484ebfe174e547126a9b24d919797506981cc72cab3192b57014f0","observation_id":"5303c14f-72d7-40e5-bd1d-9dba32b20169","resolution":{"observed_at":"2026-08-06T15:18:10.363959Z","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":"2026-08-06T15:18:10.196213Z","title":"Figure 2 shows that as the synthetic data improves, both false positives and false negatives are gradually reduced, indicating more accurate and confident detection","venue":null,"work_id":"2bf93759-3e0f-48f8-8892-03b1e04bf59c","year":null},"citing_paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T15:18:09.953391Z"},"links":{"citing_paper":"/paper/2507.16254"},"observation_digest":"sha256:e19e6d8edfc9fa2a974269d8be226c78efcdd1390516b3138f1643bb171986df","observation_id":"5c08337d-66e3-4560-8e46-2af66237a990","resolution":{"observed_at":"2026-08-06T15:18:10.212238Z","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"}}],"paper":{"arxiv_id":"2507.16254","last_updated":"2025-07-22T06:07:07Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T15:12:10.063583Z","submitted_at":"2025-07-22T06:07:07Z","title":"Edge-case Synthesis for Fisheye Object Detection: A Data-centric Perspective"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":0,"verified_fuzzy":33},"total_outbound_references":55},"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 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2507.16254."}