{"as_of":"2026-08-06T00:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd48baebfd786276328415aedc42f256a094a4cb791cb0dd7f7ee7aafe174e2a","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-25T01:53:06.124236Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+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/1907.03089/citation-record","integrity":"/paper/1907.03089/integrity","json":"/paper/1907.03089/citation-record.json","paper":"/paper/1907.03089"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ImageNet Classiﬁcation with Deep Convolutional Neural Networks","venue":null,"work_id":"e6210c7d-8256-4756-8576-5307f9338ad3","year":2012},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:4597eeb9fd74be1bc055650b55c84b322caf05309b56dd47b7967687d5981cf9","observation_id":"94a269d0-415e-4eb3-a5f5-15f4488059ff","resolution":{"observed_at":"2026-05-25T01:56:33.654097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1405.0312","last_updated":"2015-02-21T01:48:49Z","snapshot_observed_at":"2026-07-06T03:42:37.507458Z","submitted_at":"2014-05-01T21:43:32Z","title":"Microsoft COCO: Common Objects in Context","version":3},"cited_work":{"arxiv_id":"1405.0312","doi":"10.48550/arxiv.1405.0312","metadata_source":"pith","pith_arxiv_id":"1405.0312","snapshot_observed_at":"2026-07-10T21:37:42.099108Z","title":"Microsoft COCO: Common Objects in Context","venue":"cs.CV","work_id":"384118d4-9bc9-444c-abfa-3125ee3ca314","year":2014},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"cited_paper":"/paper/1405.0312","citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:073491d244560444f7785889117f553f90530e5ee589544702cab0f5e0f2e7ea","observation_id":"541a3554-02ba-4614-9d6f-af0c65a2db0f","resolution":{"observed_at":"2026-05-25T01:55:11.902057Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-01T11:08:07.595689+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T11:08:07.595689+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"The Pascal Visual Object Classes (VOC) Challenge","venue":null,"work_id":"50a25204-d15a-4d55-8c0d-db12672fea10","year":2010},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:171badb19d290c1a7cb93d855bef7a9a91b4163b8a90313576fbb39dd8aa0f66","observation_id":"8f894b87-79ed-43d9-8731-7e45bd4fdba1","resolution":{"observed_at":"2026-05-25T01:56:33.662395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Fully Convolutional Networks for Semantic Segmentation","venue":null,"work_id":"ce3984d3-3fa9-4436-ac74-be8998422c98","year":2015},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:fe00cbcdaee8796cce96d14f027829acb745e74fe0e1353f1aab757f3a753f6b","observation_id":"4a2d58a7-b01d-49ca-b616-1684d5138447","resolution":{"observed_at":"2026-05-25T01:56:33.658276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1505.04597","last_updated":"2015-05-18T11:28:37Z","snapshot_observed_at":"2026-07-06T04:18:08.302578Z","submitted_at":"2015-05-18T11:28:37Z","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","version":1},"cited_work":{"arxiv_id":"1505.04597","doi":"10.1007/978-3-662-06400-9_9","metadata_source":"pith","pith_arxiv_id":"1505.04597","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","venue":"cs.CV","work_id":"5c6b13d6-e704-4bf4-9df7-3a3a4d3b6950","year":2015},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"cited_paper":"/paper/1505.04597","citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:1a942fb6aba04e822cf519faeb8462cbf7d9586e5cafd87baa8db77c9caba519","observation_id":"38838b8c-9160-4305-9d1a-b80843410077","resolution":{"observed_at":"2026-05-25T01:55:11.907713Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.00561","last_updated":"2016-10-10T21:11:59Z","snapshot_observed_at":"2026-07-06T04:35:04.663977Z","submitted_at":"2015-11-02T15:51:03Z","title":"SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation","version":3},"cited_work":{"arxiv_id":"1511.00561","doi":null,"metadata_source":"pith","pith_arxiv_id":"1511.00561","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation","venue":"cs.CV","work_id":"61691a4c-d051-48d4-9102-96a713c73183","year":2015},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"cited_paper":"/paper/1511.00561","citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:aed0098afaf7cbc3de4530b4b9b618841ba1faf873d748af5f5f9017258b9e20","observation_id":"0f58e6d7-1dc5-413f-b524-40534b547224","resolution":{"observed_at":"2026-05-25T01:55:11.919823Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1505.04366","last_updated":"2015-05-17T07:33:28Z","snapshot_observed_at":"2026-08-03T14:19:33.820704Z","submitted_at":"2015-05-17T07:33:28Z","title":"Learning Deconvolution Network for Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"1505.04366","doi":null,"metadata_source":"pith","pith_arxiv_id":"1505.04366","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning Deconvolution Network for Semantic Segmentation","venue":"cs.CV","work_id":"6130d073-5f9a-4109-bf1a-eb5829bd4f72","year":2015},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"cited_paper":"/paper/1505.04366","citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:415997e03146679befca35cb4e4f9f473878f25c04aa5930958524f2d805260a","observation_id":"5d0de439-160c-4b4a-8b26-3b951c6df4c7","resolution":{"observed_at":"2026-05-25T01:55:11.925743Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.00915","last_updated":"2017-05-12T03:25:47Z","snapshot_observed_at":"2026-07-06T04:58:36.102946Z","submitted_at":"2016-06-02T21:52:21Z","title":"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs","version":2},"cited_work":{"arxiv_id":"1606.00915","doi":null,"metadata_source":"pith","pith_arxiv_id":"1606.00915","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs","venue":"cs.CV","work_id":"e09101fa-3863-4b7a-90c2-5a47fc265ba6","year":2016},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"cited_paper":"/paper/1606.00915","citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:d9b46dbadbade7452079ea6aebaf6b95b4ba1d6d47ca5f8c5ac2afb9a6266318","observation_id":"08533c86-95c0-452f-8bc2-52b3d73b808f","resolution":{"observed_at":"2026-05-25T01:55:11.914246Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.02611","last_updated":"2018-08-22T20:41:10Z","snapshot_observed_at":"2026-07-06T06:22:17.424495Z","submitted_at":"2018-02-07T19:37:11Z","title":"Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation","version":3},"cited_work":{"arxiv_id":"1802.02611","doi":null,"metadata_source":"pith","pith_arxiv_id":"1802.02611","snapshot_observed_at":"2026-07-01T23:26:22.148233Z","title":"Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation","venue":"cs.CV","work_id":"0d251285-46ca-4e7a-be66-4d3a4cd20ec2","year":2018},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"cited_paper":"/paper/1802.02611","citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:67f4a96bfb362242f55e0e990671ca584f923c610089af597c100fa9de4d3192","observation_id":"082ed904-b162-4c7c-b168-e93d7a24fd01","resolution":{"observed_at":"2026-05-25T01:55:11.931040Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.06612","last_updated":"2016-11-25T02:01:05Z","snapshot_observed_at":"2026-08-02T05:59:18.798377Z","submitted_at":"2016-11-20T23:39:52Z","title":"RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation","version":3},"cited_work":{"arxiv_id":"1611.06612","doi":null,"metadata_source":"pith","pith_arxiv_id":"1611.06612","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation","venue":"cs.CV","work_id":"9f7408c2-f251-4b53-8b72-6af3c4c6237c","year":2016},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"cited_paper":"/paper/1611.06612","citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:53564f43bcb477461c410d6c46c34a76d68d36db0b9f1cb4e24cafabaa1c57e9","observation_id":"54689441-2da5-413a-9fcd-efac806ff6dd","resolution":{"observed_at":"2026-05-25T01:55:11.937491Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.02719","last_updated":"2017-03-08T06:14:55Z","snapshot_observed_at":"2026-07-06T05:32:49.175042Z","submitted_at":"2017-03-08T06:14:55Z","title":"Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network","version":1},"cited_work":{"arxiv_id":"1703.02719","doi":null,"metadata_source":"pith","pith_arxiv_id":"1703.02719","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network","venue":"cs.CV","work_id":"afc1b763-15e7-46bd-b1ea-c136d96cc678","year":2017},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"cited_paper":"/paper/1703.02719","citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:9493059c3c1d9e14795f19efbb190d37ae69255ff691b9ebd7e281a234904693","observation_id":"3a669539-9475-4721-9dd3-e80535147c67","resolution":{"observed_at":"2026-05-25T01:55:11.943040Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Dynamic Multicontext Segmentation of Remote Sensing Im- ages Based on Convolutional Networks","venue":null,"work_id":"ef37b3e5-5c15-47b6-863c-a9416ba18daf","year":2019},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:882816fb8ac6f8779bdf8e76747f5f4bf5f8ded755789eb4c35618caa26034fb","observation_id":"be473bd8-1d50-40ee-8df3-1c7d0bc83925","resolution":{"observed_at":"2026-05-25T01:56:33.638689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Adaptive Multiscale Deep Fusion Residual Network for Remote Sensing Image Classiﬁcation","venue":null,"work_id":"4ec36969-f7bf-47cd-a79a-9c5e206e69d2","year":2019},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:cf9daee633a381597aa8256705b79d7ea942dbbb748e5740eb2fe182ad07cfc7","observation_id":"d30cf240-4a6e-43d2-b58f-530833f7ad41","resolution":{"observed_at":"2026-05-25T01:56:33.646974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"A Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Classiﬁcation","venue":null,"work_id":"b8bec227-f9aa-4b4a-b094-e5da42aa444a","year":2019},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:5d57d6d08ebff31be5cfe27902b577c1f4b9c35bd9de5cc59474616b90925ecb","observation_id":"41f95e3b-b68c-416e-a680-a464a55411d2","resolution":{"observed_at":"2026-05-25T01:56:33.651189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02025","last_updated":"2016-02-04T18:08:46Z","snapshot_observed_at":"2026-07-06T04:20:03.414923Z","submitted_at":"2015-06-05T19:54:26Z","title":"Spatial Transformer Networks","version":3},"cited_work":{"arxiv_id":"1506.02025","doi":null,"metadata_source":"pith","pith_arxiv_id":"1506.02025","snapshot_observed_at":"2026-06-30T10:04:36.074543Z","title":"Spatial Transformer Networks","venue":"cs.CV","work_id":"d6dd8afe-52f1-400c-a015-e0a191f906ef","year":2015},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"cited_paper":"/paper/1506.02025","citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:d43f362a5bac1749b0769321f4918c5218ed0f136dd5ff35aceddbe663aec924","observation_id":"1364a4b6-bb53-4058-9e57-b45deba8b0e6","resolution":{"observed_at":"2026-05-25T01:55:11.948454Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Learning Adaptive Receptive Fields for Deep Image Parsing Network","venue":null,"work_id":"ae0a24d0-9478-46ab-a992-9763a029e310","year":2017},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:fd0e102cf3720dcac371e9825a54a3feb5f435c1c5ad274ab32edf69b14f9652","observation_id":"69e0f98b-7e47-4da3-8433-61eea02b7d0b","resolution":{"observed_at":"2026-05-25T01:56:33.643041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Scale-Adaptive Convolutions for Scene Parsing","venue":null,"work_id":"699ca443-6ac5-48f4-80f5-550c368ebff8","year":2017},"citing_paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-25T01:53:06.124236Z"},"links":{"citing_paper":"/paper/1907.03089"},"observation_digest":"sha256:79d3035b3639e68bf95361f3714fca2ab23cbaef5672575b7397dc1546143234","observation_id":"f7113b06-8663-407d-bc4a-df50b24cbd47","resolution":{"observed_at":"2026-05-25T01:56:33.642665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1907.03089","last_updated":"2019-07-06T07:05:13Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-01T06:27:42.213565Z","submitted_at":"2019-07-06T07:05:13Z","title":"SAN: Scale-Aware Network for Semantic Segmentation of High-Resolution Aerial Images"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":9,"verified_fuzzy":8},"total_outbound_references":17},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:1907.03089."}