{"as_of":"2026-08-17T12:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd72a03e2f822f4d02e58caca8245b3588acd88289734806621e5817c718a51b","coverage":[{"denominator":70,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":70,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:21:44.640182Z","state":"measured"},{"denominator":70,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":70,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/1908.03335/citation-record","integrity":"/paper/1908.03335/integrity","json":"/paper/1908.03335/citation-record.json","paper":"/paper/1908.03335"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:21:46.783270Z","title":"How to transfer? zero-shot object recognition via hierarchical transfer of se- mantic attributes","venue":null,"work_id":"b5d81dfd-b3e2-4e2f-84f7-9073095603f3","year":2015},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.099081Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:f90b631adc501f4780565f200536647c4a61cf6483fb8ce9d168b1bf29f6a42a","observation_id":"d50e314c-7e6c-4d31-a720-97fa313746c2","resolution":{"observed_at":"2026-08-14T14:21:46.792485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.758063Z","title":"Neural module networks","venue":null,"work_id":"29d4d8af-7b66-47f9-8ad4-01a2d34dbc9f","year":null},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.108359Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:2ce789357cf6f1b7a9e69c008c0aa6f78ac8ace8a992b8007940249e82a405bb","observation_id":"94f2f4b9-38cd-4495-960a-1c878ed780c6","resolution":{"observed_at":"2026-08-14T14:21:46.766574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:44.117442Z","title":"Vqa: Visual question answering","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.117442Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:c587fbd01b9a16ae036c43f524da7574ba797ebb7c16f2a3088c50df4b0c1988","observation_id":"5caa0b23-59a3-4658-9cfa-427627e59b6a","resolution":{"observed_at":"2026-08-14T14:21:44.117442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.7755","last_updated":"2015-04-23T16:49:23Z","snapshot_observed_at":"2026-08-14T23:57:21.557178Z","submitted_at":"2014-12-24T20:58:23Z","title":"Multiple Object Recognition with Visual Attention","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.7755","snapshot_observed_at":"2026-08-14T14:21:44.129148Z","title":"Mul- tiple object recognition with visual attention","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.129148Z"},"links":{"cited_paper":"/paper/1412.7755","citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:ae3b72120d34d3a6d5af181f7037746e70896fbac0e7f9fc4631d42c4c7c355a","observation_id":"4c7c3e1d-6fbb-4e1c-a0b6-7477c08258b5","resolution":{"observed_at":"2026-08-14T14:21:44.129148Z","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":"2026-08-14T14:21:46.719764Z","title":"De- scribing people: A poselet-based approach to attribute clas- siﬁcation","venue":null,"work_id":"b953a6e3-17b9-452d-bdfe-337aef25a2a3","year":2011},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.138590Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:c3f9d5cd889af3b7b19390bb36c2a8745d59f9c92767fafdb896b71bfc8ed61a","observation_id":"6286bf50-a4fd-4283-9446-d0a60627ac1d","resolution":{"observed_at":"2026-08-14T14:21:46.725413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.687268Z","title":"Poselets: Body part detectors trained using 3d human pose annotations","venue":null,"work_id":"1f914f5b-7575-4028-9a90-f4b77cdaebf9","year":2009},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.145765Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:a99ba4f69bc17090be511c9a2d886a56b1273c7df27569d585efe4236d75a8a2","observation_id":"46f7f7ce-1fb8-495a-96c4-db8f961ffbea","resolution":{"observed_at":"2026-08-14T14:21:46.704463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.666537Z","title":"An empirical study and analysis of generalized zero- shot learning for object recognition in the wild","venue":null,"work_id":"6788959f-e868-4cf1-b15f-d095076a698f","year":2016},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.151565Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:c8d0b7c74983c5bbdd3ad3fcfa72cd0612aab856f9dbd1ded0816b1716fb48f1","observation_id":"096a6510-9e04-4851-9dce-6437c418ddc8","resolution":{"observed_at":"2026-08-14T14:21:46.671998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.05960","last_updated":"2016-04-03T22:47:38Z","snapshot_observed_at":"2026-08-14T22:22:20.577801Z","submitted_at":"2015-11-18T20:59:50Z","title":"ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.05960","snapshot_observed_at":"2026-08-14T14:21:44.158540Z","title":"Abc-cnn: An attention based convolutional neural network for visual question answering","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.158540Z"},"links":{"cited_paper":"/paper/1511.05960","citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:d3bbbe9182c76ae5faefc1d52526c1457116071344215d3aff9b183c51051cb9","observation_id":"928f32d3-ec8f-4f4a-9365-29f0f6a60e33","resolution":{"observed_at":"2026-08-14T14:21:44.158540Z","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":"2026-08-14T14:21:46.632944Z","title":"Pedestrian attribute recognition at far distance","venue":null,"work_id":"c67f732a-7abd-4103-86a1-87e317899b3b","year":2014},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.165715Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:302b0a4cc5cf931456bf005cbf891f73c71c70a49b06c9cf47cc023e975009f3","observation_id":"ff345dcf-f5cd-4f7c-8288-101284c2fa96","resolution":{"observed_at":"2026-08-14T14:21:46.647549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.601196Z","title":"Attribute-centric recognition for cross-category generalization","venue":null,"work_id":"4984be6a-c3fe-4a83-ba00-c3bc6baa7270","year":2010},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.172344Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:cb1f1238994e29dcc8bdb4b1463ba42897b3625ca1d9084d25b570764fea435b","observation_id":"2275ae38-eaaa-48b5-9c2a-53c7227b5a2a","resolution":{"observed_at":"2026-08-14T14:21:46.607922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.567868Z","title":"Describing objects by their attributes","venue":null,"work_id":"88ae202d-c44f-48c6-885c-07efeb32d3f7","year":null},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.183972Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:9b1d5fefc20c6843e8661e92369d78db80e8c7c64625c08c36a92ccd859aa378","observation_id":"181ef280-a0ae-4427-b965-55f0f5ca5b2b","resolution":{"observed_at":"2026-08-14T14:21:46.578412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.539644Z","title":"Learning visual at- tributes","venue":null,"work_id":"a0ac1647-4fe7-41b7-a79e-decc84a10b83","year":2008},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.192010Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:c66f4759860245940656d9bcb246ece5ce1e46df009666d807ecb118e9d11283","observation_id":"1b66a726-4bdc-4ab7-bae3-f36e3f28359b","resolution":{"observed_at":"2026-08-14T14:21:46.549086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.506135Z","title":"Model- agnostic meta-learning for fast adaptation of deep networks","venue":null,"work_id":"50a92b7f-720f-4a91-aa91-80b358048120","year":null},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.197897Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:7feaa2de143e3c8aaf30f70398d6b8470303b36410d4729524b97475357eebc4","observation_id":"cb7311d0-2ecc-43bf-97a2-edcb32a8ba22","resolution":{"observed_at":"2026-08-14T14:21:46.515333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.462547Z","title":"Fine-grained recognition in the wild: A multi-task domain adaptation ap- proach","venue":null,"work_id":"fb83fa5b-9a5a-4a65-bf8e-49cfafe9467a","year":2017},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.203843Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:018b603c6510ab56cbcf14a37302f0ba06fab48fe793146c42c115e79450cf38","observation_id":"97d27e08-b5f2-4893-b1df-1cb192f189ec","resolution":{"observed_at":"2026-08-14T14:21:46.474673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.436356Z","title":"Fast r-cnn","venue":null,"work_id":"f5d52fff-7f73-4551-90fe-2506a4508744","year":2015},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.212310Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:50031277f3beb9e75812578223a82cbd487a59289b86678e8833468b628a0bec","observation_id":"2f52946f-2d7d-4547-8c86-d6fc07353edb","resolution":{"observed_at":"2026-08-14T14:21:46.443465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.405485Z","title":"Region-based convolutional networks for accurate object detection and segmentation","venue":null,"work_id":"631d60ee-2999-4650-8f42-8aab8e8eb3d5","year":null},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.218992Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:e08d8feb0a748e64097dc9002ad51b067ffec610da48a5b32832c84d7894f7ce","observation_id":"db769639-67a9-40de-b06a-b0fb7da225df","resolution":{"observed_at":"2026-08-14T14:21:46.413377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.382228Z","title":"Evaluating ap- pearance models for recognition, reacquisition, and track- ing","venue":null,"work_id":"25a5de46-7d5d-4225-9691-1442918baefa","year":2007},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.227805Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:6271fc7542b80277d3dfc9c4e5ea9b94b1723963516f5cac3962786786d252de","observation_id":"5dc53d10-4183-48ec-aee5-3a7071c1d051","resolution":{"observed_at":"2026-08-14T14:21:46.388646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.358770Z","title":"Attributes for improved attributes: A multi-task network utilizing implicit and ex- plicit relationships for facial attribute classiﬁcation","venue":null,"work_id":"65ff595e-196c-4e82-a433-09334a58d6b7","year":null},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.238962Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:df2ed535394d1a3d6f5bb95d21716b32f06170db2ef40eb9c5257a76d771eafa","observation_id":"f1843463-4ee4-4c73-9b12-856e3d6b1b7d","resolution":{"observed_at":"2026-08-14T14:21:46.366203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.324588Z","title":"A simple general approach to inference about the tail of a distribution.The annals of statistics, pages 1163– 1174, 1975","venue":null,"work_id":"1c6191ce-7dae-43db-880d-94b5f40e4ff7","year":1975},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.247846Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:29c55f0eb99a65a8df13a7bfbdfe32f814767b5f5bfa3dec102f2f8b36aee7c8","observation_id":"4ba56db0-2fc6-4e95-802d-1227f4f53f46","resolution":{"observed_at":"2026-08-14T14:21:46.333922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.290375Z","title":"Labeled faces in the wild: A database forstudying face recognition in unconstrained environments","venue":null,"work_id":"5b9fab25-1cd5-4c62-9c5c-72e0c1d496a9","year":2008},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.254290Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:e8e7f4b89897471c6e97d577b565ab2f64ea55c89d4f0425abdd05c6bce7727a","observation_id":"25f9397a-70a3-45ba-9b8a-0283e4be4e4f","resolution":{"observed_at":"2026-08-14T14:21:46.298890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.254436Z","title":"Spatial transformer networks","venue":null,"work_id":"ae9eeb6e-acf9-4921-bffc-ad52e7978274","year":2017},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.265991Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:a38811b45e965b36e13877e7c247398699bb804582b04262e4b19d419e92243e","observation_id":"97ebec24-c7fd-4f9a-9617-154f7dd660eb","resolution":{"observed_at":"2026-08-14T14:21:46.261432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.232301Z","title":"Human attribute recognition by rich appearance dictionary","venue":null,"work_id":"4a56666e-38ca-45c0-ac53-fb9b96be0273","year":2013},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.272462Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:a7786bc7c3c00c3b02c183596dfdde68800e2ab3d1464c5b40694d438ca8ae2d","observation_id":"26d3ef0e-b3e7-4b8c-9f24-c05b0cc81c3f","resolution":{"observed_at":"2026-08-14T14:21:46.237982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-14T14:21:44.281659Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.281659Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:cad15c30ee169bb4dbd80f9e772f54a658cac1cb9782382ad84acd6626c6e8d5","observation_id":"41f13646-8f1d-4726-86fb-1690fab481c3","resolution":{"observed_at":"2026-08-14T14:21:44.281659Z","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":"2026-08-14T14:21:46.206153Z","title":"Imagenet classiﬁcation with deep convolutional neural net- works","venue":null,"work_id":"bde0418a-4886-418f-9681-a9762baa5fde","year":2012},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.288335Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:1f3aa1350348bf38466d7e75dc1cae89bdae8067b71708dccb534f709bb70a4d","observation_id":"6c8c03bc-d5b8-4b6c-bb04-5261fd259842","resolution":{"observed_at":"2026-08-14T14:21:46.215903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.174167Z","title":"Describable visual attributes for face veriﬁca- tion and image search","venue":null,"work_id":"508b92f5-1053-40cc-a25e-2572b5edf5a6","year":1962},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.294823Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:d65cb0d07c2ba02e87ae62c13ba2d6e39237e1830c1e60922abe73f4387d83f8","observation_id":"376cadc1-2f1a-46f5-beb5-284097fcda26","resolution":{"observed_at":"2026-08-14T14:21:46.183589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.143343Z","title":"Attribute and simile classiﬁers for face veri- ﬁcation","venue":null,"work_id":"09180b44-0bb6-4d6b-94e2-4d5fe52194ff","year":2009},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.304259Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:eab44f5b84b0b7aaa88414b507ea5dad2f37f6715905a458207dd61de448656d","observation_id":"f553f336-8dc6-459b-be7c-8915fb4b0bb2","resolution":{"observed_at":"2026-08-14T14:21:46.151765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.107765Z","title":"Learning to detect unseen object classes by between- class attribute transfer","venue":null,"work_id":"916a0e62-4f5e-4d1c-a9c9-aee12e3fa262","year":null},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.310577Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:10925c784bf95c0c5fe01e4a3f8bf973a5c9a8228ed6468f77fa18d7af7ad810","observation_id":"b957c66b-52bd-460f-9d3b-24bd3b85a649","resolution":{"observed_at":"2026-08-14T14:21:46.123372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.070605Z","title":"Attribute-based classiﬁcation for zero-shot visual object categorization","venue":null,"work_id":"269954ee-7447-43c9-be92-dfad43ece143","year":2014},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.319077Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:b226346c1cca9d76328407239c2a9030cfeec28075e0dddd0d2059fcd4b71109","observation_id":"361311fd-85e3-4fc7-90ed-a843e6bf9389","resolution":{"observed_at":"2026-08-14T14:21:46.089191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.07054","last_updated":"2016-04-27T06:42:25Z","snapshot_observed_at":"2026-08-14T22:04:52.452309Z","submitted_at":"2016-03-23T02:41:59Z","title":"A Richly Annotated Dataset for Pedestrian Attribute Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.07054","snapshot_observed_at":"2026-08-14T14:21:44.330230Z","title":"A richly annotated dataset for pedestrian at- tribute recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.330230Z"},"links":{"cited_paper":"/paper/1603.07054","citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:f92cf90e708c02b4baf314c020e7b7fbafc0a89b72e3792068f0a342cf387bcd","observation_id":"293a820a-2778-4fde-9baf-2a121a27e269","resolution":{"observed_at":"2026-08-14T14:21:44.330230Z","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":"2026-08-14T14:21:46.039541Z","title":"Human attribute recognition by deep hierarchical con- texts","venue":null,"work_id":"6fd5c2b5-f726-4342-908d-25024257cf8b","year":2016},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.339604Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:463038c00f3ab3ccc1e3d30373e08e39144d444d8e140a3f5fd5062c3d6b4ba7","observation_id":"24180b81-7224-4259-bfe0-3b892103388f","resolution":{"observed_at":"2026-08-14T14:21:46.047380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:46.007725Z","title":"Zero-shot recognition using dual visual- semantic mapping paths","venue":null,"work_id":"2433e8b4-08a8-4570-b07e-d1cc0f411d56","year":null},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.345729Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:e1147a47c0f10a3df792afc2ca2aebba4a732b7aac0c289c7176a7e367aa289b","observation_id":"4e33333e-3c54-493f-86c3-7bf7d9340022","resolution":{"observed_at":"2026-08-14T14:21:46.017636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.984596Z","title":"Localizing by describing: Attribute-guided attention lo- calization for ﬁne-grained recognition","venue":null,"work_id":"1585b7e6-1762-4d8f-ba9c-6853a7e571a3","year":2017},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.351740Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:074854350ddf23cf402d4e93bbc0429785e79ca360beb23c51c178d8ed1007d1","observation_id":"ae37706b-320c-447d-ac35-55b48fbbe21b","resolution":{"observed_at":"2026-08-14T14:21:45.991843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.06765","last_updated":"2017-03-21T02:08:15Z","snapshot_observed_at":"2026-08-14T22:05:00.575124Z","submitted_at":"2016-03-22T12:45:20Z","title":"Fully Convolutional Attention Networks for Fine-Grained Recognition","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.06765","snapshot_observed_at":"2026-08-14T14:21:44.357792Z","title":"Fully convolutional attention networks for ﬁne-grained recognition","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.357792Z"},"links":{"cited_paper":"/paper/1603.06765","citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:f39c07b777bcd9124c6c1a6e52e5e2d8084b590ecefb446ac309ff7e8bcb7c8c","observation_id":"4091cc68-8bdb-4623-8d0f-577a4fcc0ad3","resolution":{"observed_at":"2026-08-14T14:21:44.357792Z","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":"2026-08-14T14:21:44.365083Z","title":"Deepfashion: Powering robust clothes recognition and retrieval with rich annotations","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.365083Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:714352cf3c9c7a44c9a6da7a11270b1d929469a1904058dd67532aff49d3f70c","observation_id":"c9b6c6ee-95e6-4643-ae23-5e428a615868","resolution":{"observed_at":"2026-08-14T14:21:44.365083Z","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":"2026-08-14T14:21:45.935626Z","title":"Deep learning face attributes in the wild","venue":null,"work_id":"a3fe2a3b-192f-4879-9367-206d2df93947","year":2015},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.375429Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:3fdda8f0526ec80edece2d48db47836980e44ddf8246500027326d6cdccb6593","observation_id":"0b8a2861-d1cd-4c7d-9612-11cfb92563ad","resolution":{"observed_at":"2026-08-14T14:21:45.950505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.896815Z","title":"Fully-adaptive feature shar- ing in multi-task networks with applications in person at- tribute classiﬁcation","venue":null,"work_id":"f06f9e32-64f6-481b-8b51-2d7306f9ca29","year":2017},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.391173Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:d5c6dba52be0dfeaae0456307814ad0116bcc2c1b327b62b46b433caf603af00","observation_id":"c4d8ef2a-4ee5-4b32-82fe-015944f532ad","resolution":{"observed_at":"2026-08-14T14:21:45.904307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.805685Z","title":"Transparency by design: Closing the gap be- tween performance and interpretability in visual reasoning","venue":null,"work_id":"ba0818c3-f316-453f-9bb9-02ab7bd1c4b3","year":2018},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.397934Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:9c0460c416b6ce04109b6a319cab51c924d9cc7cb105951fff812cbcbb16ec29","observation_id":"19b42497-8b11-4e11-b8b3-aafa46601787","resolution":{"observed_at":"2026-08-14T14:21:45.879371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.781595Z","title":"Re- current models of visual attention","venue":null,"work_id":"372b2113-f7e6-4b15-8e8d-159d1a0be363","year":2014},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.406364Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:1c94fd1402fd3e0a2b4b792eaf5eb9cd05f2afd046e44c913dcd9bdf693f0f17","observation_id":"6b4ce273-bb76-4861-a4c8-6a90e47ac1df","resolution":{"observed_at":"2026-08-14T14:21:45.789119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.747734Z","title":"Zero-shot learning with semantic output codes","venue":null,"work_id":"fbbb84ab-6b3a-4988-b185-52f000ae37cd","year":2009},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.414397Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:329f1786c32beac20369748a8d9476f337344b1dfd5a43508906cbb5849e7cbd","observation_id":"c1c3e85a-57e8-418c-acbd-30f71b67d293","resolution":{"observed_at":"2026-08-14T14:21:45.764942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.710656Z","title":"Sun attribute database: Discovering, annotating, and recognizing scene attributes","venue":null,"work_id":"8c828ce3-f209-4387-811b-c10212a9020c","year":2012},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.420165Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:c5f900ebc87b737ceeaaa79a270c7e0b662f7de8fd3d705cf704c1c093c381ef","observation_id":"363a1830-e72c-4e17-ac6c-c5ff7512dad7","resolution":{"observed_at":"2026-08-14T14:21:45.724301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.666898Z","title":"Coco attributes: At- tributes for people, animals, and objects","venue":null,"work_id":"e85ccf75-37d0-4ebf-a64f-41c1eed80b33","year":2016},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.425377Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:90b13c90a4760dbd4246a4086512dd17b78c62d9434240aaed11f822a954cf7a","observation_id":"035fcdf9-6d84-4b1c-8c01-6966167bcd7a","resolution":{"observed_at":"2026-08-14T14:21:45.682280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.633313Z","title":"Optimization as a model for few-shot learning","venue":null,"work_id":"4b01d4a7-c0ee-4cc5-89fd-f3536f50648c","year":2016},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.434839Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:3dfb9b199dfbb167fa57460daab7d131911da9c2ed726d36e008ace2a3cac81f","observation_id":"7343ab3f-155f-4079-b94a-bb9deb95671b","resolution":{"observed_at":"2026-08-14T14:21:45.646700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.606783Z","title":"You only look once: Uniﬁed, real-time object de- tection","venue":null,"work_id":"df2b5ce2-c9da-4577-8ba6-260452f194fd","year":2016},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.440861Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:3a6f6b4b9aedc6262a445490a2ac06bec831989eda2b1b46bcda1c53a5306660","observation_id":"c94882a6-978d-4b1c-8fe3-972583d8f113","resolution":{"observed_at":"2026-08-14T14:21:45.613050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.583884Z","title":"Faster r-cnn: Towards real-time object detection with region proposal networks","venue":null,"work_id":"4704a29c-3fcb-4b14-a42e-2eba37189ebe","year":2015},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.447603Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:054d4cc8eba15b0ba6242d4b14ee126d5ee6da15f238d05252005d52758234ad","observation_id":"6d9a4739-84e9-40b0-b9ae-f58f744815d8","resolution":{"observed_at":"2026-08-14T14:21:45.591253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.553378Z","title":"An embarrass- ingly simple approach to zero-shot learning","venue":null,"work_id":"52f307db-eae5-4dea-83f6-e9080ffabc76","year":2015},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.453458Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:587856d44f9adcf881f587c62c6615c5ef372da8f2fd8d0d1309793b77ce423f","observation_id":"b66b79d0-982e-40a7-8e45-52e0516ca4f7","resolution":{"observed_at":"2026-08-14T14:21:45.560265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.523292Z","title":"Attribute learning in large-scale datasets","venue":null,"work_id":"ef2763d9-cf75-4d32-90b0-ee550ca960a9","year":2010},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.459602Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:1625cc20169398fc5ea32b39cadfeed4106056f1d06334083d93f01344f41ae0","observation_id":"21fbce01-fc98-4ef2-b133-a91b064a34d0","resolution":{"observed_at":"2026-08-14T14:21:45.533565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.7054","last_updated":"2015-04-11T01:45:56Z","snapshot_observed_at":"2026-08-15T03:48:24.791269Z","submitted_at":"2014-12-22T17:06:07Z","title":"Attention for Fine-Grained Categorization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.7054","snapshot_observed_at":"2026-08-14T14:21:44.464772Z","title":"At- tention for ﬁne-grained categorization","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.464772Z"},"links":{"cited_paper":"/paper/1412.7054","citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:362f036f8a1d8ac1c93ff757f8d587cd37c6aec18cda0826c2b919492c975e39","observation_id":"4474dd6f-bc9f-4f71-ad30-0020dea5277e","resolution":{"observed_at":"2026-08-14T14:21:44.464772Z","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":"2026-08-14T14:21:45.499161Z","title":"Learning discriminative spatial representation for image classiﬁcation","venue":null,"work_id":"97fe13d5-9ad3-476a-9d26-a3980c63cab8","year":2011},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.471065Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:1224520d942a5e1a97544fc6700a371fcff2dd7cf251944c8ee49ceabb65546d","observation_id":"2a9c1d3e-6bb9-4b7e-8a06-b5a10ac496e2","resolution":{"observed_at":"2026-08-14T14:21:45.506087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.466604Z","title":"Per- son attribute recognition with a jointly-trained holistic cnn model","venue":null,"work_id":"02398c94-4e39-424f-9fe6-3624b0359598","year":2015},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.477380Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:1e31cbe9705439886ad7dd14603dd002400f205e0b1c37a0ca72f6798a44d5c5","observation_id":"7c44223c-cf65-4dfc-8d25-df1c43fcc9c8","resolution":{"observed_at":"2026-08-14T14:21:45.481832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.438958Z","title":"Is learning the n-th thing any easier than learning the ﬁrst? In NIPS, pages 640–646, 1996","venue":null,"work_id":"98c467a9-9fa9-4de1-9baa-0273ab8383e5","year":1996},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.489605Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:6e0b852266983d35fedeff95a2730ed36b897e2a0b4b1eb5fcc7c08813bc062c","observation_id":"746d4785-9279-4eb5-aeea-f144301589d8","resolution":{"observed_at":"2026-08-14T14:21:45.448734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.412971Z","title":"The caltech-ucsd birds-200-2011 dataset","venue":null,"work_id":"6082412c-2086-4367-b341-e0d331e5b429","year":2011},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.505454Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:9a689335d8f65753aac11cd07a5fd9d8804bdf16c0b3f2da056cad4345de5fb4","observation_id":"d13e4f83-b0f2-4bf4-a682-5f7ecffe8606","resolution":{"observed_at":"2026-08-14T14:21:45.421017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.379961Z","title":"Relational knowledge transfer for zero-shot learning","venue":null,"work_id":"1271e3f6-f5f4-4b38-b95d-a1eed5949ed9","year":2016},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.516426Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:e50baa06c2da56e09d0ef0cc49f0c296fce5a1dd0513911e9eef3beba70f8f15","observation_id":"360de896-b339-4294-a505-17ab37e6cdb4","resolution":{"observed_at":"2026-08-14T14:21:45.392992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.355938Z","title":"Residual attention network for image classiﬁcation","venue":null,"work_id":"3929a93c-ed3d-42d7-81bc-ff672cf730a3","year":2017},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.524273Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:1321b0e2fca35d2cfb36307b2808fdc0fd37367fe4bf45636515c0440cc7cf94","observation_id":"99fe9497-9e60-4a88-b245-9c8b2c3d52b4","resolution":{"observed_at":"2026-08-14T14:21:45.362820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.333307Z","title":"Learn- ing models for object recognition from natural language de- scriptions","venue":null,"work_id":"4ea7a393-6a2f-49fa-b843-bc6c7fce94cf","year":2009},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.530258Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:20eaf4293c614e7a234eec342b9a5f143fe669f79a1f9cca701b48770152fbf4","observation_id":"ae4b6960-a60d-4f2d-98cd-ee6f7feab1ec","resolution":{"observed_at":"2026-08-14T14:21:45.341968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.310745Z","title":"At- tribute recognition by joint recurrent learning of context and correlation","venue":null,"work_id":"e84ef7f8-d070-4b92-95a5-83bcee5583d8","year":2017},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.535674Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:3c3e153e2e7cd079d44529c18df1a144f704bcb2230f15a9fa4249eb0d886fb4","observation_id":"236d8990-d1f1-4111-9878-2464ddd35ffb","resolution":{"observed_at":"2026-08-14T14:21:45.316482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:44.542230Z","title":"Non-local neural networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.542230Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:dd98f6fa3c3f607a1ac281dda1b9506a0ea4c6f2004171a729706bf2e3757996","observation_id":"e65d7be1-5158-4227-a619-776acc1bdd30","resolution":{"observed_at":"2026-08-14T14:21:44.542230Z","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":"2026-08-14T14:21:45.270657Z","title":"Cbam: Convolutional block attention module","venue":null,"work_id":"1a1f3ac0-388c-4908-aea6-2de83cb4b443","year":2018},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.549973Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:d0adb3322a3fdc76e50d8ea4815bd9168683015e7c1895a11850885e1fb6852d","observation_id":"5b334ffe-9c84-499e-b915-7f3fb3d3678f","resolution":{"observed_at":"2026-08-14T14:21:45.277380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.04394","last_updated":"2020-09-23T14:55:12Z","snapshot_observed_at":"2026-08-16T05:54:05.537721Z","submitted_at":"2017-03-13T13:53:19Z","title":"Zero-Shot Learning -- The Good, the Bad and the Ugly","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.04394","snapshot_observed_at":"2026-08-14T14:21:44.556673Z","title":"Zero- shot learning-the good, the bad and the ugly","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.556673Z"},"links":{"cited_paper":"/paper/1703.04394","citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:fb2dac3e22886afac0525ad14fdf4de97f2e2986ff71b7f97d512f70dcb1d31f","observation_id":"d8a9e18d-f695-4d7e-8699-61d3514f93da","resolution":{"observed_at":"2026-08-14T14:21:44.556673Z","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":"2026-08-14T14:21:45.244872Z","title":"Aggregated residual transformations for deep neural networks","venue":null,"work_id":"866e75db-c434-49ed-a36b-2d229507f340","year":2017},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.563901Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:e4293a3f4b9da30c672de255b82d5162df786ead18b73a733fd3a015ba68b0f4","observation_id":"27372aed-7028-487c-a923-12622d62c25c","resolution":{"observed_at":"2026-08-14T14:21:45.253527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:44.570924Z","title":"Show, attend and tell: Neural image caption gen- eration with visual attention","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.570924Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:f053cb76fbf5452eded8bce5ef1199cdc9bfbdbadfdd1f086a3e0005310d8e4c","observation_id":"fca324f6-34d1-44a7-a650-ebd3e6dd408c","resolution":{"observed_at":"2026-08-14T14:21:44.570924Z","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":"2026-08-14T14:21:45.199905Z","title":"A large-scale car dataset for ﬁne-grained categorization and veriﬁcation","venue":null,"work_id":"2af6e7a4-3a19-4827-9358-9831d1743d46","year":2015},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.577296Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:83398262f876bdf50a64ab55ffab13055eee4e68e217708b0ce49ff3e499cbeb","observation_id":"27ac3dbb-4b7d-4491-bc13-5b81e786b9ab","resolution":{"observed_at":"2026-08-14T14:21:45.208255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.168823Z","title":"Part-based r-cnns for ﬁne-grained category detection","venue":null,"work_id":"4df18464-8a36-46d6-8393-b022bf2f8561","year":2014},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.584692Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:6221f61c7a2b3e105cba293e5032e2c69a1883d473b12c4549b39b709b869bf0","observation_id":"4672dfbe-dcee-4af7-ae33-5e40fde77102","resolution":{"observed_at":"2026-08-14T14:21:45.177960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.141867Z","title":"Deformable part descriptors for ﬁne-grained recognition and attribute prediction","venue":null,"work_id":"abcaeba1-f627-43b2-b08b-d3892b248e4e","year":2013},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.590733Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:7439c506309125de1cd29d1369bd33c0461622059eed36b66fee99055fc85bd9","observation_id":"80568aa9-0a99-4b1d-91b1-179ed7ebd8ed","resolution":{"observed_at":"2026-08-14T14:21:45.148933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.103941Z","title":"Panda: Pose aligned net- works for deep attribute modeling","venue":null,"work_id":"7b31462b-a024-4657-a3af-95bbf8e1cc4c","year":2014},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.597891Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:b97310fa0ac063ecb923939a50ad2ac6eba56f3e28750b0864a2ee6cf80a077e","observation_id":"37641f2b-a6f4-478d-9fbe-5c903b41f789","resolution":{"observed_at":"2026-08-14T14:21:45.111848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.080494Z","title":"Zero-shot recog- nition via structured prediction","venue":null,"work_id":"ed3e63bd-3ada-4951-a8c3-7f8d42ca7172","year":2016},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.603963Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:fd717f0c6bda6dc64493a57241d3f215ce64f4151f4d2efdd955b63e335a2718","observation_id":"bce582ef-670c-4e04-91de-32f799c9acd2","resolution":{"observed_at":"2026-08-14T14:21:45.087611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.04314","last_updated":"2018-05-16T04:13:44Z","snapshot_observed_at":"2026-08-16T07:15:31.559245Z","submitted_at":"2018-04-12T04:58:34Z","title":"A Large-scale Attribute Dataset for Zero-shot Learning","version":2},"cited_work":{"arxiv_id":"1804.04314","doi":null,"metadata_source":"pith","pith_arxiv_id":"1804.04314","snapshot_observed_at":"2026-08-14T14:21:44.714294Z","title":"A Large-scale Attribute Dataset for Zero-shot Learning","venue":"cs.CV","work_id":"255cb105-cceb-461a-8363-d912aa73489a","year":2018},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.612675Z"},"links":{"cited_paper":"/paper/1804.04314","citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:25d42a5d69d2ba13beefa991b3d0221280a9ba0c40a75be31ea3bb8b41b26a9c","observation_id":"d35d75dd-fc0c-4ed7-acac-0bce5bf4be49","resolution":{"observed_at":"2026-08-14T14:21:44.729906Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.054475Z","title":"A modulation module for multi-task learning with applications in image retrieval","venue":null,"work_id":"9a00b63b-643b-4702-8536-c7da434eb8a9","year":2018},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.618411Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:38ce7ac7217f4cd9937eaa6a1deb58bc25809975becc3e6015c1398c29216aa6","observation_id":"1c5ce3b5-4d92-4e19-af96-5d0226d8f495","resolution":{"observed_at":"2026-08-14T14:21:45.060945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:45.021703Z","title":"Pseudo mask augmented object detection","venue":null,"work_id":"8ec6db49-1fd5-4707-8f40-33b6ac358cd8","year":2018},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.626025Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:cde596cfe10b5aa0db799baec2dd14769e428f7351903b322ca3f302ad02b51f","observation_id":"299ab283-711e-4ee9-8f86-e43cbff45158","resolution":{"observed_at":"2026-08-14T14:21:45.031328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:44.987360Z","title":"Learning deep features for discrimi- native localization","venue":null,"work_id":"7625036c-14c9-41ba-b7eb-b9d6016887a1","year":2016},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.633761Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:391b246a3aeb9918602269187f33fc6fc92897cf4a8185eefba13473784618bd","observation_id":"7fc14a36-0714-4f1f-a24b-3d9668cf9879","resolution":{"observed_at":"2026-08-14T14:21:44.993817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T14:21:44.957579Z","title":"Pedestrian attribute classiﬁcation in surveillance: Database and evaluation","venue":null,"work_id":"6f623e47-0af3-436b-bf4f-b36100e50560","year":2013},"citing_paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-14T14:21:44.640182Z"},"links":{"citing_paper":"/paper/1908.03335"},"observation_digest":"sha256:b3124edb6fc36614c7ba162eebc0bb9a8bd533c0318b85889b00ce4614268762","observation_id":"425a9433-99ab-4816-a2e5-a27532bddf72","resolution":{"observed_at":"2026-08-14T14:21:44.966507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.03335","last_updated":"2019-08-13T03:32:19Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T21:22:52.595170Z","submitted_at":"2019-08-09T06:56:02Z","title":"Recognizing Part Attributes with Insufficient Data"},"reference_resolution":{"displayed":70,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":1,"verified_fuzzy":58},"total_outbound_references":70},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:1908.03335."}