{"as_of":"2026-08-15T12:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:284c95d3fe80e7ad0711af8a7cca03f1fc4520ae1e7f9a5121e169881cea51f8","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:14:45.621979Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/1908.01570/citation-record","integrity":"/paper/1908.01570/integrity","json":"/paper/1908.01570/citation-record.json","paper":"/paper/1908.01570"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:14:46.155613Z","title":"Cascade R-CNN: Delving into high quality object detection","venue":null,"work_id":"a0380eff-0550-4ec7-814d-5b0fc90f4e40","year":2018},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.457159Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:31b6bad275ab6eb66b237557270b56a9fc9c52d9c663e3b61c2ba261a9f63aba","observation_id":"22701e9e-5560-408f-a824-f435c8a0430d","resolution":{"observed_at":"2026-08-14T15:14:46.160041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:14:46.140132Z","title":"Flexible, high performance convolutional neural networks for image classification","venue":null,"work_id":"6f104a95-c037-45ed-a7f7-761722b6db65","year":2006},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.464433Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:c555654fe93c3c956fd17e8e7a4d5cb23414226b38a59e1fef525822e2b8b04b","observation_id":"ba3e5f09-7f5b-4528-a982-10e7ae64a3bd","resolution":{"observed_at":"2026-08-14T15:14:46.144969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:14:46.125483Z","title":"R-FCN: Object detection via region-based fully convolutional networks","venue":null,"work_id":"bab7cc34-f64c-4608-95f7-9d6eea0b1729","year":2016},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.470564Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:db0a929274627519ba5ba2be28a81219f50b070e31c047246ddcdefbf2279a89","observation_id":"32fa0b3d-e660-44c2-8953-387bf1f413ba","resolution":{"observed_at":"2026-08-14T15:14:46.131108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:14:45.477475Z","title":"Deformable convolutional networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.477475Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:706e9ea846786cb379aef7b50d57b4a1d930f28d3c2c91ca7e3da2648d0cacba","observation_id":"1640e60c-b3d5-41ef-8983-2134ec4ff59b","resolution":{"observed_at":"2026-08-14T15:14:45.477475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.08189","last_updated":"2019-04-19T02:23:52Z","snapshot_observed_at":"2026-08-14T16:45:06.764750Z","submitted_at":"2019-04-17T11:20:01Z","title":"CenterNet: Keypoint Triplets for Object Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.08189","snapshot_observed_at":"2026-08-14T15:14:45.482549Z","title":"CenterNet: Keypoint triplets for object detection","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.482549Z"},"links":{"cited_paper":"/paper/1904.08189","citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:6291730a300bbbb963d2b8e685374bcebb709332700f16ce417881248c077766","observation_id":"cd367861-05c6-4c58-bd84-48a67576e6e9","resolution":{"observed_at":"2026-08-14T15:14:45.482549Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1701.06659","last_updated":"2017-01-23T22:33:35Z","snapshot_observed_at":"2026-08-14T21:19:52.056535Z","submitted_at":"2017-01-23T22:33:35Z","title":"DSSD : Deconvolutional Single Shot Detector","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.06659","snapshot_observed_at":"2026-08-14T15:14:45.487529Z","title":"DSSD: Deconvolutional single shot detector","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.487529Z"},"links":{"cited_paper":"/paper/1701.06659","citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:1746b3dcaf183f28d62bf15246ecf5d25c9b50ce8c0215d8242d1d83cc66234c","observation_id":"69c41ab7-f191-48cd-b1d2-aa553eaf6a4c","resolution":{"observed_at":"2026-08-14T15:14:45.487529Z","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":"2026-08-14T15:14:45.494229Z","title":"Fast R-CNN","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.494229Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:fd61685adb0b7a7a9dd2bab028aac3a571456ad67000bdee3211e6f7e7d70f3b","observation_id":"7e242222-e7c7-43e7-8a72-41c14b1da656","resolution":{"observed_at":"2026-08-14T15:14:45.494229Z","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":"2026-08-14T15:14:45.502225Z","title":"Rich feature hierarchies for accurate object detection and semantic segmentation","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.502225Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:930905e71e98812a8a47600d476c8139b4dccdf2dc62727dc3f47e6416ac3da8","observation_id":"59571b02-b3b7-4911-8a4a-9282d01eb6b8","resolution":{"observed_at":"2026-08-14T15:14:45.502225Z","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":"2026-08-14T15:14:46.081642Z","title":"Mask R-CNN","venue":null,"work_id":"b1dffb23-d2a6-4439-bfa5-48784d1cb728","year":2017},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.507195Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:687899dc90eba3c0d77d6ffac155a9b2a1c94fe7b11eb8f15f9f9b17d3be77be","observation_id":"c6830caa-61d6-478b-8d6a-4312a420d82e","resolution":{"observed_at":"2026-08-14T15:14:46.087749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:14:45.512912Z","title":"Delving deep into rectifiers: Surpassing human-level performance on imagenet classification","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.512912Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:bc394e2a080d81d5ec7dbf7d7378a84139a6e0884c62062efca15cf1bc7543bf","observation_id":"f7bcdbd8-4c07-4b9f-8475-3ee9f373a400","resolution":{"observed_at":"2026-08-14T15:14:45.512912Z","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":"2026-08-14T15:14:45.518852Z","title":"Spatial pyramid pooling in deep convolutional networks for visual recognition","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.518852Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:690decf7d299aa8fffb0dfa02485acbba0beb7ac9b260c9a251a9657a8ff9eb4","observation_id":"72bbf475-ba44-45d0-b91d-157e425feeae","resolution":{"observed_at":"2026-08-14T15:14:45.518852Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1509.04874","last_updated":"2015-09-19T02:36:04Z","snapshot_observed_at":"2026-08-14T22:40:32.015602Z","submitted_at":"2015-09-16T10:30:37Z","title":"DenseBox: Unifying Landmark Localization with End to End Object Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1509.04874","snapshot_observed_at":"2026-08-14T15:14:45.524169Z","title":"Densebox: Unifying landmark localization with end to end object detection","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.524169Z"},"links":{"cited_paper":"/paper/1509.04874","citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:0db253e5c580e3d782ce7fff7ff71c508b94e22f6a5b3d9400b5a60daf6cdf29","observation_id":"b89beffe-da67-4d4a-9d7d-83982f603055","resolution":{"observed_at":"2026-08-14T15:14:45.524169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.03797","last_updated":"2020-07-16T15:38:26Z","snapshot_observed_at":"2026-08-14T16:50:16.879027Z","submitted_at":"2019-04-08T01:43:48Z","title":"FoveaBox: Beyond Anchor-based Object Detector","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.03797","snapshot_observed_at":"2026-08-14T15:14:45.529730Z","title":"FoveaBox: Beyond anchor-based object detector","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.529730Z"},"links":{"cited_paper":"/paper/1904.03797","citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:dee3e88087ae73eeb4c2fd5966c00259781399d2f9eec7503d8a7e6d31b1bef3","observation_id":"acf87174-1768-4ce3-9cb4-06ac4f15ac6b","resolution":{"observed_at":"2026-08-14T15:14:45.529730Z","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":"2026-08-14T15:14:46.040380Z","title":"CornerNet: Detecting objects as paired keypoints","venue":null,"work_id":"4d4c75cc-2531-46ef-bdbd-ba6f5556289c","year":2018},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.534663Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:68cec4560f0a69bfbc7f9139c3abe1c940945f531ace329ad59c54f95c8d6696","observation_id":"01379461-6e01-4626-88a5-edaea98ae6ac","resolution":{"observed_at":"2026-08-14T15:14:46.045328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:14:46.023165Z","title":"Feature pyramid networks for object detection","venue":null,"work_id":"5c82359e-f8e9-45c5-bcdb-e54569917c47","year":2017},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.538786Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:8185cda4503356125346316029f26cfdeb55e9271b88c04e9f6f7b4d476c03bd","observation_id":"e5a1aef2-8bd5-4feb-a458-f88e27e24511","resolution":{"observed_at":"2026-08-14T15:14:46.029315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:14:45.543260Z","title":"Focal loss for dense object detection","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.543260Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:def9ce284dd4de5874d0b9db50d9a4609e80e775f11d529c72f782d159a2cd50","observation_id":"29b51034-7113-4699-a93b-6c7ab54eb8b8","resolution":{"observed_at":"2026-08-14T15:14:45.543260Z","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":"2026-08-14T15:14:45.549073Z","title":"Microsoft COCO: Common objects in context","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.549073Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:81b594a946bf9722b611710a1077c7e80ff5878645fed89d76e46f43711aef96","observation_id":"ef544e5a-5e82-43c9-81a8-860e4b7808a3","resolution":{"observed_at":"2026-08-14T15:14:45.549073Z","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":"2026-08-14T15:14:45.553024Z","title":"SSD: Single shot multibox detector","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.553024Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:c6f0a4a294e3426893c00738cc21e1714a4cf2f86dae10e0c4a529d9ef1a1cea","observation_id":"516e33e1-e909-4e4a-a35d-643e61416de5","resolution":{"observed_at":"2026-08-14T15:14:45.553024Z","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":"2026-08-14T15:14:45.962100Z","title":"You only look once: Unified, real-time object detection","venue":null,"work_id":"54ececa7-bb3f-48fd-b767-90613d0ced69","year":2016},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.557925Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:97a2a773dd767248ddc747f68b6a4af64a76f0b734b99a5b74850f271361facd","observation_id":"f7f9410e-e63b-4f3f-ac48-f422f980d47f","resolution":{"observed_at":"2026-08-14T15:14:45.966966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.02767","last_updated":"2018-04-08T22:27:57Z","snapshot_observed_at":"2026-08-06T11:09:16.409556Z","submitted_at":"2018-04-08T22:27:57Z","title":"YOLOv3: An Incremental Improvement","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.02767","snapshot_observed_at":"2026-08-14T15:14:45.563901Z","title":"YOLOv3: An incremental improvement","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.563901Z"},"links":{"cited_paper":"/paper/1804.02767","citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:1a9519b1f3622b58d727ff4b49405e4fc5efafe43e304c4b5fc95c1614fe2e5b","observation_id":"8ef9477f-2e5a-4106-abec-f0fcdbf00309","resolution":{"observed_at":"2026-08-14T15:14:45.563901Z","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":"2026-08-14T15:14:45.943978Z","title":"Faster R-CNN: Towards real-time object detection with region proposal networks","venue":null,"work_id":"2cdca55c-c24a-4f04-8196-8bf156ec7952","year":2015},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.569822Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:e9f50d95f1c6c9a6040933f9703eec3ef1b920f2b409477de4a023bb669713a8","observation_id":"9b01df4b-6927-4455-845b-ba78d9632187","resolution":{"observed_at":"2026-08-14T15:14:45.950836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:14:45.922682Z","title":"Berg, and Li Fei-Fei","venue":null,"work_id":"2c4e08c8-569f-497c-9f39-7fa2210061a2","year":2015},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.575069Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:2a53c6917f68294655b9da941c52788854ec9c8cbbb3a75288876579154c0b5f","observation_id":"e46897a4-617d-459f-a73f-f3579ceeea9e","resolution":{"observed_at":"2026-08-14T15:14:45.929387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.01355","last_updated":"2019-08-20T11:26:21Z","snapshot_observed_at":"2026-08-14T16:53:04.099538Z","submitted_at":"2019-04-02T11:56:36Z","title":"FCOS: Fully Convolutional One-Stage Object Detection","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.01355","snapshot_observed_at":"2026-08-14T15:14:45.579894Z","title":"FCOS: Fully convolutional one-stage object detection","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.579894Z"},"links":{"cited_paper":"/paper/1904.01355","citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:574cb131f4e3f466c14c49c23075d5be07d74d50172a1aecf2e0405994f90d07","observation_id":"f557f397-72ad-4450-b9c4-2adfb7f1402f","resolution":{"observed_at":"2026-08-14T15:14:45.579894Z","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":"2026-08-14T15:14:45.906501Z","title":"Region proposal by guided anchoring","venue":null,"work_id":"9128c8b9-b9d9-4636-8346-238df282e6ad","year":2019},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.585853Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:10e0414180d183d00b03cc4d9f2a096505487af4bc0d9e2f41c521e7ee422237","observation_id":"b6ad69c1-fbef-4e9e-8c3a-a2d08e110116","resolution":{"observed_at":"2026-08-14T15:14:45.911994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:14:45.886396Z","title":"MetaAnchor: Learning to detect objects with customized anchors","venue":null,"work_id":"28e136ff-8173-4dc7-88cc-6a7c6f1395a2","year":2018},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.590558Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:098c295d910acbe196660299156a1e127d757a22872d878738c5e58fc8615cb7","observation_id":"f63b3bf6-f2c3-49a4-9255-28645c34d16d","resolution":{"observed_at":"2026-08-14T15:14:45.893353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.11490","last_updated":"2019-08-19T14:12:18Z","snapshot_observed_at":"2026-08-14T16:41:21.551492Z","submitted_at":"2019-04-25T17:59:28Z","title":"RepPoints: Point Set Representation for Object Detection","version":2},"cited_work":{"arxiv_id":"1904.11490","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.11490","snapshot_observed_at":"2026-08-14T15:14:45.689569Z","title":"RepPoints: Point Set Representation for Object Detection","venue":"cs.CV","work_id":"a9e5de05-e8fe-4ec3-ac65-c251272edc4b","year":2019},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.594793Z"},"links":{"cited_paper":"/paper/1904.11490","citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:a380c5f774d46b7e83dd323ff6ad7d076430c662d72145824b4719bb666ae8c6","observation_id":"6699c5eb-ddf8-4b58-854e-6d592e3831d9","resolution":{"observed_at":"2026-08-14T15:14:45.698723Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:14:45.866122Z","title":"Single-shot refinement neural network for object detection","venue":null,"work_id":"0bb3bc03-c279-4409-86cb-f547ee33267e","year":2018},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.600164Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:d8f873f15d8da7483300b4bd8e00138b015b83322658c1723c3962335b2a4141","observation_id":"c750b426-a5b3-4eed-973e-807f44a7cec3","resolution":{"observed_at":"2026-08-14T15:14:45.873103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.07850","last_updated":"2019-04-25T16:20:02Z","snapshot_observed_at":"2026-08-14T16:45:31.678245Z","submitted_at":"2019-04-16T17:54:26Z","title":"Objects as Points","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.07850","snapshot_observed_at":"2026-08-14T15:14:45.607495Z","title":"Objects as points","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.607495Z"},"links":{"cited_paper":"/paper/1904.07850","citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:23272797461873ea950cf78acc38ad941d0bf7f06d202e2b1470b937fc17901c","observation_id":"0cd1988d-22ce-4e22-88f6-e535975fe2b4","resolution":{"observed_at":"2026-08-14T15:14:45.607495Z","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":"2026-08-14T15:14:45.846072Z","title":"Bottom-up object detection by grouping extreme and center points","venue":null,"work_id":"16bedbed-630f-4c69-8824-0ed326bc1324","year":2019},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.616509Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:0371d454edc0f46d59fbb056ff96233f2fad78f7a91fa445b6de2d590ed2f85e","observation_id":"7ba10312-c7b4-4777-80e0-3800cff558bd","resolution":{"observed_at":"2026-08-14T15:14:45.853158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T15:14:45.830493Z","title":"Feature selective anchor-free module for single-shot object detection","venue":null,"work_id":"4d0c98da-cc1b-428b-aa87-0c9543fb4a98","year":2019},"citing_paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T15:14:45.621979Z"},"links":{"citing_paper":"/paper/1908.01570"},"observation_digest":"sha256:a2a79b8c79a6cd490f12d9ce8d40c684af7bd944681984d138ecc50e608a2aae","observation_id":"211b83c5-1390-41f3-9c5d-9de3a79ca5f3","resolution":{"observed_at":"2026-08-14T15:14:45.835563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.01570","last_updated":"2019-08-05T12:00:48Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T09:02:42.803776Z","submitted_at":"2019-08-05T12:00:48Z","title":"Revisiting Feature Alignment for One-stage Object Detection"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":1,"verified_fuzzy":14},"total_outbound_references":30},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:1908.01570."}