{"as_of":"2026-08-06T18:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8f6d80fb9981e62f205cbb853a25e53709943ad36042594d5b24521c9b2bdf0d","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-24T15:18:22.162827Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1907.11837/citation-record","integrity":"/paper/1907.11837/integrity","json":"/paper/1907.11837/citation-record.json","paper":"/paper/1907.11837"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Timeml-compliant text analysis for temporal reasoning","venue":null,"work_id":"f2b37a18-458b-4cd2-b745-1fd4a36853b4","year":2005},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:4bb8f355e8e57d774b2666a241626a973049421d646bc04c1c985b326b985366","observation_id":"289f205f-7b14-4c7a-aec4-61af366822ad","resolution":{"observed_at":"2026-05-24T15:19:38.126375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Pedestrian attribute recognition at far distance","venue":null,"work_id":"16475500-f837-438a-a0f9-d2e4f5647ecf","year":2014},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:8dcbabb5966faf929264c310013e037e1d7e8b5eae2595857c6c7891ca6fc53a","observation_id":"679c7c4f-9007-4cb3-b4f9-32cf0c9923b9","resolution":{"observed_at":"2026-05-24T15:19:38.115928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multi-label classiﬁcation using conditional dependency networks","venue":null,"work_id":"872d66d7-5f6e-4107-b3f1-abd12fad31e2","year":2011},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:b48bbc07ad1ca655e58d2337be9bf54bfa83f62996fd6323e7b5b16765c6c989","observation_id":"04ba7b3d-f866-419f-955c-efbf7424c266","resolution":{"observed_at":"2026-05-24T15:19:38.112554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Attributes for improved attributes: A multi-task network utiliz- ing implicit and explicit relationships for facial attribute classiﬁ- cation","venue":null,"work_id":"96977c61-e88d-4295-8362-e5db4fe1be45","year":2017},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:42bfb5ddf02317ee77680455dba713c0017617b61a38c33f19880b8728131d02","observation_id":"b6f2b284-f5b6-4347-9f1f-6f8e4b7547a7","resolution":{"observed_at":"2026-05-24T15:19:38.108679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"daa7c67a-99fd-4c7a-9e0f-0bf539813de2","year":2016},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:7a26a8a4d675b3c22a6aca6df6dd442fdaacb1a550eaded0ff9963fd4d920410","observation_id":"43e591b3-aed0-42ad-a1e8-e042b4442e37","resolution":{"observed_at":"2026-05-24T15:19:38.090924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":"1412.6980","doi":"10.1002/mrm.28086","metadata_source":"pith","pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Adam: A Method for Stochastic Optimization","venue":"cs.LG","work_id":"1910796d-9b52-4683-bf5c-de9632c1028b","year":2014},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:dc3ec37d8805877aeefa2f8471904395359b4880baa346e0795a5b4a092e3e4a","observation_id":"d9ba71a3-1050-4d40-b4ae-635c9429de85","resolution":{"observed_at":"2026-05-24T15:19:37.752641Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Person re-identiﬁcation by attributes","venue":null,"work_id":"2878eb54-22c8-49a4-be09-328c1d4b3008","year":2012},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:966ebb22ff09af475024f506a6a0e3335e2ec231095ae9b4e106485ccb5a463f","observation_id":"72d49c58-16c2-463c-9e76-4047dbc2477c","resolution":{"observed_at":"2026-05-24T15:19:38.194796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios","venue":null,"work_id":"b852f9b4-bc60-48dc-a139-be863d4b6744","year":2015},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:361fe860a39e27e7d2e5733ed8dae355cd5ad47c6b4a72a3038382f0a1eaf26d","observation_id":"f051e0e8-ef36-4593-8f4c-cce31174dc35","resolution":{"observed_at":"2026-05-24T15:19:38.190884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.07054","last_updated":"2016-04-27T06:42:25Z","snapshot_observed_at":"2026-07-06T04:50:25.493544Z","submitted_at":"2016-03-23T02:41:59Z","title":"A Richly Annotated Dataset for Pedestrian Attribute Recognition","version":3},"cited_work":{"arxiv_id":"1603.07054","doi":null,"metadata_source":"pith","pith_arxiv_id":"1603.07054","snapshot_observed_at":"2026-07-04T06:29:37.564538Z","title":"A Richly Annotated Dataset for Pedestrian Attribute Recognition","venue":"cs.CV","work_id":"560f7e3e-6bef-4f53-9019-b384a690ac89","year":2016},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"cited_paper":"/paper/1603.07054","citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:4fd00c6a627bab6bd36240f2f7c20047b94bc7cc79045ff39e6c10ce897cace6","observation_id":"91e4828f-ccf3-49bf-ba60-d76e5ddf2474","resolution":{"observed_at":"2026-05-24T15:19:37.746947Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sequential per- son recognition in photo albums with a recurrent network","venue":null,"work_id":"76e7415b-6912-4c31-9892-4f7e189f1b9b","year":2017},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:56f6a65fa4c8b9febbc2c000f238f60ca20bd9d0dd65a826000aa58cc656c887","observation_id":"e134b439-a26d-40c3-ae0a-76796b8fb013","resolution":{"observed_at":"2026-05-24T15:19:38.186801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Localization guided learning for pedestrian attribute recognition","venue":null,"work_id":"b28e3211-effe-44a4-8621-cfba621ed75e","year":2018},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:6e90044c5622db26927aab9a4dd78e4195e2e79805e083ddf8d9bb22645face9","observation_id":"37a3e33f-9dab-4489-8edd-4d5b9267eacb","resolution":{"observed_at":"2026-05-24T15:19:38.182824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fully-adaptive fea- ture sharing in multi-task networks with applications in person attribute classiﬁcation","venue":null,"work_id":"47f40052-7503-457c-81fc-f7a0dd1cdebb","year":2017},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:20ed909e1c1c01dcfd5bbd7f8703cf6e37386cd63cf887eb2b9b5cea5a3caecd","observation_id":"9b9e61f1-bfd6-4152-b2e1-556e84163ca7","resolution":{"observed_at":"2026-05-24T15:19:38.179434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Heterogeneous multitask metric learning across multiple do- mains","venue":null,"work_id":"ef689725-45e8-480d-bb40-c482fd91f70d","year":2018},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:b87fcb9ecd9867f992330871218a5fa930a922619b6b0e5ec43ca54a89f5c1c3","observation_id":"414faf0a-cf48-4721-a997-0f06c551a0a9","resolution":{"observed_at":"2026-05-24T15:19:38.167334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Transferring knowledge fragments for learning distance metric from a heterogeneous domain","venue":null,"work_id":"02bf9e51-fb27-4871-a760-dcb4df45a0ee","year":2019},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:c6924ea531df0e43fb834fd0bd2609598514af5550c36bf6945057ff5dd7064b","observation_id":"b18012d5-8ce3-4a8a-bfd6-1116cc808188","resolution":{"observed_at":"2026-05-24T15:19:38.175612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Costa: Co-occurrence statistics for zero-shot classiﬁcation","venue":null,"work_id":"77a1f9b1-e686-47c4-8997-94c65bcc9ee2","year":2014},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:57e3451cd97ffda221d9b32d718304c1426051bb0dd33cfd93df8d051ecdb281","observation_id":"edc88a80-21c0-4daa-971e-1332f6492b1f","resolution":{"observed_at":"2026-05-24T15:19:38.098044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Video classiﬁcation using semantic concept co-occurrences","venue":null,"work_id":"4c090b57-f6b0-4370-8239-6aeb42e96b45","year":2014},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:b70cc8053a0ecf947ce58ad2313ab5c1586a2d272fd425f6b30b69ce08355139","observation_id":"8bb65acd-15d9-4beb-bbbe-1bf672d3323b","resolution":{"observed_at":"2026-05-24T15:19:38.171599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Automatic differentiation in pytorch","venue":null,"work_id":"91e8eb24-b7b4-40cc-a4ec-0106e7f0837a","year":2017},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:6d2605c56eea828adab125c48e6db724a1b7c9fba0e04b80914ef11c37343b8b","observation_id":"c31d7f5c-04f0-44b3-84e9-abcbbfe2446e","resolution":{"observed_at":"2026-05-24T15:19:38.087450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Joint learning of semantic and latent attributes","venue":null,"work_id":"cec8f506-9937-4360-8f1b-77b66f6ca7bb","year":2016},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:13a9018fb9aa51afe6bb4d920918444731912fd0d9c69f7229c6fe6558c51236","observation_id":"91a29647-d556-46f5-ad69-d155431ea218","resolution":{"observed_at":"2026-05-24T15:19:38.159334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Faster R-CNN: Towards real-time object detection with region proposal networks","venue":null,"work_id":"b3c2d4eb-aca7-4eea-a96d-d2f515252e99","year":2015},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:194a97cf88c7fbd907ded9048041fbc63ae3cdde4dc59ff6633e882dcb9c0623","observation_id":"23cf8b32-030a-4181-aacc-9efaac4f08bc","resolution":{"observed_at":"2026-05-24T15:19:38.104921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ima- genet large scale visual recognition challenge.IJCV, 115(3):211– 252","venue":null,"work_id":"ab56864f-797e-461b-b665-07b3d9e38d85","year":2015},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:ef3747dcafe7d6e4b0b5f4b9ecd1299285887a73e694a819cffe108abf0d4ec9","observation_id":"d7e5508c-2d69-4cbf-bd1b-ecafeb828c83","resolution":{"observed_at":"2026-05-24T15:19:38.153337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep imbalanced attribute classiﬁcation using visual attention aggregation","venue":null,"work_id":"26d12409-ca0e-4f36-9fe7-c0fbc67cb3f8","year":2018},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:03b7d5ac96d43c34ff9c4f2232be1339b772a0830f374e8c377db6c61196201d","observation_id":"c0d7a1f3-c765-421f-9dec-c3d8869b3cc7","resolution":{"observed_at":"2026-05-24T15:19:38.094376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Person attribute recognition with a jointly-trained holistic cnn model","venue":null,"work_id":"3cca225a-4ed3-40ea-a0f9-bf4b3a7f6aaf","year":2015},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:1eedc134a85fbd229515b159f032fb52d2c7c085654a716354dbbbd3596fea9f","observation_id":"7a9be718-239e-4343-8d5e-f793cc0d41cf","resolution":{"observed_at":"2026-05-24T15:19:38.149719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Beyond part models: Person retrieval with reﬁned part pooling (and a strong convolutional baseline)","venue":null,"work_id":"7898e218-eaf2-45ab-b9be-05176724e54a","year":2018},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:b5ca2feef1cfefdc00d8c4950bb6f00590ec6a3573517a6986839b6d125912fc","observation_id":"ada45a9a-a092-4865-ae6e-155c67ec37a2","resolution":{"observed_at":"2026-05-24T15:19:38.145839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Visual words reﬁning exploiting spatial co-occurrence table","venue":null,"work_id":"921c2120-a576-40dc-960d-53f15fbbcd98","year":2013},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:a96e112a87905e88a98888167e62a3d5b4cf426afa3f0b1df9ca24e90c9c9c91","observation_id":"3994d197-a673-4984-acaf-67f543b07bf5","resolution":{"observed_at":"2026-05-24T15:19:38.141875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cnnpack: Packing convolutional neural net- works in the frequency domain","venue":null,"work_id":"e5aa8fd8-7849-4baa-8931-f29a3e3d6a01","year":2016},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:697662ab2f5bc1d8d41a196e2f094bd070619b4b30826c65c869e0444c507907","observation_id":"7a55fbb6-8fcc-4aab-b969-97b42a491f01","resolution":{"observed_at":"2026-05-24T15:19:38.101608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Attribute recognition by joint recurrent learning of context and correlation","venue":null,"work_id":"041e1e9a-4df4-48d2-834f-5707a9f65c80","year":2017},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:fa24fcdb5747db4a524a0a7c7e0edd114f51eb041161ec4fd1d18b9c458b853c","observation_id":"0d76ea65-b8e1-4a19-a947-fbde8d12a9d5","resolution":{"observed_at":"2026-05-24T15:19:38.137800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning versatile ﬁlters for efﬁcient con- volutional neural networks","venue":null,"work_id":"3fe844fa-5845-43ea-87a7-c774ab3f89a8","year":2018},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:fe81a024cdb13c9e5c06b6df720c335ab1ea9db474c4dafebe0963cff7359670","observation_id":"3fd8e27c-2b3a-4bef-a372-b2ba5c6a7ae4","resolution":{"observed_at":"2026-05-24T15:19:38.133997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning deep feature representations with do- main guided dropout for person re-identiﬁcation","venue":null,"work_id":"8d70b6eb-095a-471a-9fc1-80112c10830b","year":2016},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:628e48eabd687491f01295da7996c36330e8ae2764dd04bbf1010366026e275a","observation_id":"a05cd361-b9f0-4be4-9610-21eba658333d","resolution":{"observed_at":"2026-05-24T15:19:38.130016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep metric learning for person re-identiﬁcation","venue":null,"work_id":"b30d4273-5c00-4abe-996d-6d55a7d88b44","year":2014},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:c786eefa6b1bb77ae4a327ae504bd927a0fb1c18df7e79475006c2f88031c231","observation_id":"61c19bfe-c0d4-489b-9e96-ff30aecd7ec3","resolution":{"observed_at":"2026-05-24T15:19:38.119521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Grouping attribute recognition for pedestrian with joint recurrent learning","venue":null,"work_id":"3cf3bfe9-d6a2-4e35-8d4c-96a05019e2d0","year":2018},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:fc11af954deffad74def9fdc2c82d0bda238d4baaefe9f01de5ea98139b7bee4","observation_id":"aa5c0357-c3ce-4637-bcff-6f693872857d","resolution":{"observed_at":"2026-05-24T15:19:38.122923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multi-label cnn based pedestrian attribute learning for soft biometrics","venue":null,"work_id":"17f1f704-3660-4fe5-a2d1-db6f54523047","year":2015},"citing_paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-24T15:18:22.162827Z"},"links":{"citing_paper":"/paper/1907.11837"},"observation_digest":"sha256:ba601203f48c38f39d1272020e1264cf34353d33274011487bd1a524b421f87b","observation_id":"93111861-e428-466b-b5dc-ed49265a7a26","resolution":{"observed_at":"2026-05-24T15:19:38.163193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1907.11837","last_updated":"2019-07-27T02:45:32Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T08:10:37.263120Z","submitted_at":"2019-07-27T02:45:32Z","title":"Attribute Aware Pooling for Pedestrian Attribute Recognition"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":2,"verified_fuzzy":29},"total_outbound_references":31},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:1907.11837."}