{"as_of":"2026-08-17T15:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bbdcf8603b209f87f44c93744c0a224d202f47111425315fe6b4e5366d5043db","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T06:05:22.568507Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"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/1909.00295/citation-record","integrity":"/paper/1909.00295/integrity","json":"/paper/1909.00295/citation-record.json","paper":"/paper/1909.00295"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:05:23.476497Z","title":"Looking be- yond appearances: Synthetic training data for deep cnns in re-identiﬁcation","venue":null,"work_id":"3b1397ad-e533-473d-95cc-e72c38d1cb94","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.304380Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:58462aba6ea3958aa46ae29742f5b56a5e78f20c24fd3ef4b418079807c81a51","observation_id":"a66d3b6a-a4e9-4962-b68a-0c45b623d061","resolution":{"observed_at":"2026-08-14T06:05:23.481790Z","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":"2026-08-14T06:05:23.459001Z","title":"Multiple-shot person re- identiﬁcation by hpe signature","venue":null,"work_id":"3bb4dc21-b879-4d4a-a20e-69b942c5f210","year":2010},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.310358Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:558a63b7785f29be09cc8d11aa1aae674ec7f36343db817bd7dba3f3d2ef1849","observation_id":"e198a31c-7665-4cdd-bdb1-f026aa7ec4b2","resolution":{"observed_at":"2026-08-14T06:05:23.464504Z","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":"2026-08-14T06:05:23.441411Z","title":"Group consistent similarity learning via deep crf for person re-identiﬁcation","venue":null,"work_id":"dd251b8d-54ca-4883-8870-cffcabf296ae","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.315541Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:d05d56e289b11b6208bd03652207590ca8b7dbf85f2785868ad079c3bcf1e6b7","observation_id":"cf37cb27-ba51-486a-82a3-0fbd9180752c","resolution":{"observed_at":"2026-08-14T06:05:23.446631Z","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":"2026-08-14T06:05:23.425217Z","title":"Person re- identiﬁcation by deep learning multi-scale representations","venue":null,"work_id":"1ac46301-e96e-41b2-9e62-6cbc7a06ed52","year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.321070Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:9028fd593b233a3c89deb996fd1ec0f29606ee2c8b8f48417f8036d12aca7994","observation_id":"5f1459bd-e122-40d1-b187-cb87f895c668","resolution":{"observed_at":"2026-08-14T06:05:23.430333Z","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":"1811.07130","last_updated":"2023-02-10T08:38:01Z","snapshot_observed_at":"2026-08-17T15:18:55.576734Z","submitted_at":"2018-11-17T08:49:04Z","title":"Batch DropBlock Network for Person Re-identification and Beyond","version":3},"cited_work":{"arxiv_id":"1811.07130","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.07130","snapshot_observed_at":"2026-08-14T06:05:22.746278Z","title":"Batch DropBlock Network for Person Re-identification and Beyond","venue":"cs.CV","work_id":"4a5bb701-ab9a-4fa5-a38b-30273f1e1b5f","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.326220Z"},"links":{"cited_paper":"/paper/1811.07130","citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:b48315fe01b6c540473fd0913d53f8617d722bd933b28773ff2c6c3a26fe0388","observation_id":"aaf94508-bdde-4440-aac1-38506cebc1a3","resolution":{"observed_at":"2026-08-14T06:05:22.752128Z","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":"2026-08-14T06:05:23.408739Z","title":"Consistent re-identiﬁcation in a camera net- work","venue":null,"work_id":"a369ab53-230a-42c2-8371-ff1911d90586","year":2014},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.331667Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:14710d330be52e0190c4657ff2e6a3101cf37c7c0a0bdf659ca7893a8c195f37","observation_id":"da543180-9c72-4afa-a9b1-d22f152ff56e","resolution":{"observed_at":"2026-08-14T06:05:23.413969Z","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":"2026-08-14T06:05:22.337099Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.337099Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:6c1e37143d5ebb447568e8a25b19b23d2ab1290e4cf2d4c3a3617152f8650756","observation_id":"3bf3f23d-f7a3-47d2-9d6e-29d5dd647d23","resolution":{"observed_at":"2026-08-14T06:05:22.337099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.04552","last_updated":"2017-11-29T14:51:40Z","snapshot_observed_at":"2026-08-13T11:54:46.030796Z","submitted_at":"2017-08-15T15:21:53Z","title":"Improved Regularization of Convolutional Neural Networks with Cutout","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.04552","snapshot_observed_at":"2026-08-14T06:05:22.342235Z","title":"Improved regular- ization of convolutional neural networks with cutout","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.342235Z"},"links":{"cited_paper":"/paper/1708.04552","citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:22a27f304e9aa9f523ec1486cd793496ae7d3120c4b20f042be3d4c0e82099c7","observation_id":"a46f38c5-1355-4619-ab5e-44ece1534ff1","resolution":{"observed_at":"2026-08-14T06:05:22.342235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.05244","last_updated":"2016-11-22T12:16:51Z","snapshot_observed_at":"2026-08-14T21:30:10.177996Z","submitted_at":"2016-11-16T12:14:09Z","title":"Deep Transfer Learning for Person Re-identification","version":2},"cited_work":{"arxiv_id":"1611.05244","doi":null,"metadata_source":"pith","pith_arxiv_id":"1611.05244","snapshot_observed_at":"2026-08-14T06:05:22.702860Z","title":"Deep Transfer Learning for Person Re-identification","venue":"cs.CV","work_id":"038f358e-c12a-40be-874f-0d2eaab7bc64","year":2016},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.347406Z"},"links":{"cited_paper":"/paper/1611.05244","citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:81166c1e4673381c30140af8f5f65260c3f24b0cabe572fa55edabf01b0b98be","observation_id":"01cacf78-de84-4434-bcd7-ef2514d0f020","resolution":{"observed_at":"2026-08-14T06:05:22.710986Z","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":"2026-08-14T06:05:23.377025Z","title":"Dropblock: A regularization method for convolutional networks","venue":null,"work_id":"be45ce75-86ce-4c13-9caf-3816c7cd4cbe","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.352635Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:d280c4650f2b9a31cc176fb1ca4681206af4509456ec6d80a27b5929840c192c","observation_id":"3896cfe1-566b-478b-8227-0f8885717fd6","resolution":{"observed_at":"2026-08-14T06:05:23.382394Z","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":"2026-08-14T06:05:22.357120Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.357120Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:4a712a66569a8da81229cb1bd55207f6e8b9b0d3f6a609d28d92735c6bcffe28","observation_id":"df32da52-390b-4776-9409-975dc24cf229","resolution":{"observed_at":"2026-08-14T06:05:22.357120Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1703.07737","last_updated":"2017-11-21T15:35:07Z","snapshot_observed_at":"2026-08-14T21:10:31.788257Z","submitted_at":"2017-03-22T16:34:29Z","title":"In Defense of the Triplet Loss for Person Re-Identification","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.07737","snapshot_observed_at":"2026-08-14T06:05:22.362252Z","title":"In de- fense of the triplet loss for person re-identiﬁcation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.362252Z"},"links":{"cited_paper":"/paper/1703.07737","citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:54289f8a3266109392c71f401beeaeed468533539f07b6d313e45cdce4e2ac75","observation_id":"53a1c2ee-3990-4803-9cb0-2b35f8818665","resolution":{"observed_at":"2026-08-14T06:05:22.362252Z","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":"2026-08-14T06:05:23.345871Z","title":"Adversarially occluded samples for per- son re-identiﬁcation","venue":null,"work_id":"642565ea-f02d-4376-94af-5b4e95993c69","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.367757Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:f2b2dbbfb6a65b28c9f394f28d261a07afa4131ce0cf1a47ca71eaf720e7cc13","observation_id":"a6db5731-5f7e-4904-9b4e-57e57e2cc872","resolution":{"observed_at":"2026-08-14T06:05:23.351911Z","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":"2026-08-14T06:05:22.372903Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.372903Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:88006710dc542d683e6c77816e556e1ed4076535e124a2391b9eea718d71ea9d","observation_id":"ae2deb27-acc1-4562-bc9b-7d734bd25dbd","resolution":{"observed_at":"2026-08-14T06:05:22.372903Z","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":"2026-08-14T06:05:23.329584Z","title":"To- wards faster training of global covariance pooling networks by iterative matrix square root normalization","venue":null,"work_id":"162a8e72-3bcd-408d-92c0-4331705da17f","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.377733Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:116bd73780436890357bd26091ba45f8f60633cc7f48b709e1c3b21b631e08ea","observation_id":"1d95ddfa-d335-4804-82df-b050a0f03a79","resolution":{"observed_at":"2026-08-14T06:05:23.334656Z","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":"2026-08-14T06:05:23.311135Z","title":"Is second-order information helpful for large-scale visual recognition? In Proceedings of the IEEE International Con- ference on Computer Vision, pages 2070–2078, 2017","venue":null,"work_id":"a31b1b0c-33f3-493a-9edb-f31ce7c03e37","year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.382593Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:12c30f4dfb410aa1239f31e47d3afd3130d98b4a8e800da3e07d425247f5f947","observation_id":"e4a91725-ff12-44d4-ac0a-ce7c9d36aaea","resolution":{"observed_at":"2026-08-14T06:05:23.316670Z","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":"2026-08-14T06:05:23.292924Z","title":"Deep- reid: Deep ﬁlter pairing neural network for person re- identiﬁcation","venue":null,"work_id":"3fccd020-8438-4197-a293-16188248dc37","year":null},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.387370Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:fe783a17777feffdcc0181f23c52b35a0e6d91e775766c28b2c53d483e01ebf6","observation_id":"1fb819cb-f2aa-47af-8b9f-c29072ab4ea0","resolution":{"observed_at":"2026-08-14T06:05:23.298961Z","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":"1705.04724","last_updated":"2017-05-23T01:04:56Z","snapshot_observed_at":"2026-08-17T14:29:38.709906Z","submitted_at":"2017-05-12T19:18:07Z","title":"Person Re-Identification by Deep Joint Learning of Multi-Loss Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.04724","snapshot_observed_at":"2026-08-14T06:05:22.392321Z","title":"Person re- identiﬁcation by deep joint learning of multi-loss classiﬁca- tion","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.392321Z"},"links":{"cited_paper":"/paper/1705.04724","citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:fb22b6393ee6f3ce6adc1b8eb509ae85bce89746bec6e42697b121aa4066d4bc","observation_id":"12d9822d-2eec-480a-87c0-685e088d822d","resolution":{"observed_at":"2026-08-14T06:05:22.392321Z","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":"2026-08-14T06:05:23.276657Z","title":"Harmonious at- tention network for person re-identiﬁcation","venue":null,"work_id":"632eadfe-68cd-4c45-acc4-331588a2f35d","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.397541Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:5dc1390863d24881996f107bdb4b692035052a1d69c6991bacb815421e9bd17a","observation_id":"11807949-7f29-4b87-9b02-7ce249225bfd","resolution":{"observed_at":"2026-08-14T06:05:23.281544Z","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":"2026-08-14T06:05:23.258836Z","title":"Learning locally-adaptive de- cision functions for person veriﬁcation","venue":null,"work_id":"131dcc3d-0305-4faf-9783-80229673a893","year":2013},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.402411Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:82dab974585ad3660c9a666089816e8a094fa381014e3e79afb07a701e61ff85","observation_id":"1add83bf-a5fd-4530-8841-a78a0f4b1303","resolution":{"observed_at":"2026-08-14T06:05:23.264941Z","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":"2026-08-14T06:05:23.241556Z","title":"Per- son re-identiﬁcation by local maximal occurrence represen- tation and metric learning","venue":null,"work_id":"7122b407-fce6-4063-b240-c8d25e1c41c9","year":2015},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.407453Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:d8d89ec9c3b68dcc1015c8bd04e26ce23b3de41d0a3959f478ddd249ed8f9dcd","observation_id":"ddfe6112-97f2-44e1-9130-2f59e5113e90","resolution":{"observed_at":"2026-08-14T06:05:23.246613Z","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":"2026-08-14T06:05:23.223886Z","title":"Bilinear cnn models for ﬁne-grained visual recognition","venue":null,"work_id":"08557059-4bfc-4b68-9fc3-01f230525bae","year":2015},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.412734Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:e3a46ec1a712b53acf5f8a1dc83d4dbd4aec636ac58a35c7a2210c07bb147fc1","observation_id":"9a104ffc-0e59-4349-830b-903a0d3c62cb","resolution":{"observed_at":"2026-08-14T06:05:23.228858Z","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":"2026-08-14T06:05:23.208979Z","title":"Hydraplus-net: Attentive deep features for pedestrian analysis","venue":null,"work_id":"ada34f32-29da-44eb-b318-c536ab4b2d98","year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.417573Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:39410919f73abdca3c9f7e78a85a6b0c7198a35acd2f973367e41569b5836a53","observation_id":"88b4c9e8-ef2f-4abc-9633-d6b33f59af2a","resolution":{"observed_at":"2026-08-14T06:05:23.213301Z","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":"2026-08-14T06:05:23.194187Z","title":"Domain transfer support vector ranking for person re-identiﬁcation without target camera label information","venue":null,"work_id":"6a100dc6-e905-42d2-8b1b-c669c51841c2","year":2013},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.422378Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:00323c2c5b2e447a56446931839c1a20c1003015dbfc9ad73d6b00c1e5993bb4","observation_id":"f2f7b79d-217d-4abb-b1c9-347d7c887dd3","resolution":{"observed_at":"2026-08-14T06:05:23.198753Z","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":"2026-08-14T06:05:23.179115Z","title":"Hierarchical gaussian descriptor for person re- identiﬁcation","venue":null,"work_id":"6b297591-1b64-4593-8307-c828b2b1fb7a","year":null},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.427422Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:9d6f4283fb068bd80421f68317c81d0159159853c78770b0c495a1444167d907","observation_id":"4932bfff-650b-410b-ab5c-9209ba013d2f","resolution":{"observed_at":"2026-08-14T06:05:23.184089Z","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":"2026-08-14T06:05:23.162313Z","title":"Pcca: A new approach for distance learning from sparse pairwise constraints","venue":null,"work_id":"cbac6d54-2db8-4913-9c8c-8814d3887d52","year":2012},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.432462Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:0cc0046a6c24a24c65a36fa8ae61c97ecb6a0adc6d34a52bb8dc29529e627933","observation_id":"58156ec3-da07-4921-9387-21cd4fd051ff","resolution":{"observed_at":"2026-08-14T06:05:23.167735Z","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":"2026-08-14T06:05:22.437275Z","title":"Automatic differentiation in pytorch","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.437275Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:b8a336ff8766811074e60e03ed4614266dc69076ca874a583a37afcfc711b6db","observation_id":"993e9c2e-c60b-4e47-9b40-884d810136ea","resolution":{"observed_at":"2026-08-14T06:05:22.437275Z","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":"2026-08-14T06:05:23.137561Z","title":"Local ﬁsher discriminant analysis for pedestrian re-identiﬁcation","venue":null,"work_id":"1e0e1172-fa40-40c9-bb77-c297de1fa952","year":2013},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.442186Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:9b24742ec32a513b52288e49c0892712bda8e18aa780d46a8bf1fe284e457a6c","observation_id":"6e03a4bd-2b20-4eef-81e6-1ab6b2ca0874","resolution":{"observed_at":"2026-08-14T06:05:23.142528Z","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":"2026-08-14T06:05:23.123260Z","title":"Performance measures and a data set for multi-target, multi-camera tracking","venue":null,"work_id":"dcd1c621-56e1-4829-b81b-bf327dcff65d","year":2016},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.446850Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:deaf97a5b90c1b36fef0f60a8ca6d4e6de9b30980d99a0c16978e6673496ea44","observation_id":"2de1e413-fec9-4d23-a843-b3690fbcf83d","resolution":{"observed_at":"2026-08-14T06:05:23.127890Z","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":"2026-08-14T06:05:23.108698Z","title":"Deep group-shufﬂing random walk for person re-identiﬁcation","venue":null,"work_id":"fd1031ba-3966-4ef8-95f0-3f3a28a5a896","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.452089Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:f0638a00b0c59992f8f9eebf8bf50de2d843ee25458f143fe14560b229909b60","observation_id":"4e78a886-db34-47de-b70f-33e1c64a8926","resolution":{"observed_at":"2026-08-14T06:05:23.113184Z","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":"2026-08-14T06:05:23.093817Z","title":"Deep group-shufﬂing random walk for person re-identiﬁcation","venue":null,"work_id":"4157dd0f-ea56-4ec8-b9f4-76058ab17415","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.457002Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:072de6738890bfdc828ee3f359d961a54cc4eedd63a78d94d927d7b150b44ef3","observation_id":"ebf348d7-6b30-4a2b-beac-40950f2dc28d","resolution":{"observed_at":"2026-08-14T06:05:23.098590Z","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":"2026-08-14T06:05:23.079182Z","title":"Dual attention matching network for context-aware feature sequence based person re-identiﬁcation","venue":null,"work_id":"d1624129-2faf-42e3-b93a-3583894beea3","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.462121Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:37ec4892cd7ea33e3bd476ef4e2678449491fabe5bea939150f38be9d1f973da","observation_id":"52be83fe-8403-4379-bc12-04de17144139","resolution":{"observed_at":"2026-08-14T06:05:23.084023Z","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":"2026-08-14T06:05:23.062701Z","title":"Pose-driven deep convolutional model for per- son re-identiﬁcation","venue":null,"work_id":"303a189c-aae1-4402-b224-cb30e838c86e","year":null},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.467145Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:b9dcd4a199e72fea1fd6bd6880d4de2b3c1e96bfc6ad97d5678e9992dc31dd27","observation_id":"bc3b91a8-9059-4577-aeb1-da72cf041099","resolution":{"observed_at":"2026-08-14T06:05:23.068134Z","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":"2026-08-14T06:05:23.048048Z","title":"Svdnet for pedestrian retrieval","venue":null,"work_id":"7db48b57-deeb-4094-a520-918410115eca","year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.472135Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:eabf2ccdcd49acae7851f9d4369a7b27f5da6e93a879a84b26521c60a96f0b58","observation_id":"930bfa0f-df6f-4d70-a8a0-81945b770b70","resolution":{"observed_at":"2026-08-14T06:05:23.052339Z","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":"2026-08-14T06:05:23.032959Z","title":"Beyond part models: Person retrieval with reﬁned part pooling (and a strong convolutional baseline)","venue":null,"work_id":"d9c5bfc7-4f17-43b9-996b-60c97a57dfa7","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.476732Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:ece69679c301053c468848c349d809f90f53dbee9b8f8b58a8298a5a17685882","observation_id":"f768a250-f31d-4dbe-b93b-fb4eb5809da3","resolution":{"observed_at":"2026-08-14T06:05:23.037639Z","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":"2026-08-14T06:05:23.016481Z","title":"Rethinking the inception archi- tecture for computer vision","venue":null,"work_id":"0d8d6e81-4454-4ec6-874f-c67cfbd39fcd","year":2016},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.482333Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:14f67e8e20e555f466ffc1b3be1b99ffaf3f2d2b28cc9c00e6fa7c53d9a0e002","observation_id":"986d0c21-fe22-4cb9-8c1c-5870efb8b860","resolution":{"observed_at":"2026-08-14T06:05:23.022468Z","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":"2026-08-14T06:05:22.999240Z","title":"Multi-region bilinear convolutional neural networks for per- son re-identiﬁcation","venue":null,"work_id":"206a759a-d731-4e08-8af9-1c984a5108d5","year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.486954Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:6e3e34d6053c3773b3aca025083e9aaa176c25bd737a615f9f1ead37814a4a26","observation_id":"9950b270-ac64-49b6-b308-8f7c1ca6bd3e","resolution":{"observed_at":"2026-08-14T06:05:23.004262Z","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":"2026-08-14T06:05:22.982365Z","title":"Attention is all you need","venue":null,"work_id":"5cfa8371-5d07-4a56-8ffd-12c0c6e34415","year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.491741Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:743632b297d29ae64e61cbf400af6af0cc3cbef214e692c807d313c3ceb619bf","observation_id":"ef65112c-ac2b-48be-816f-178825155bf6","resolution":{"observed_at":"2026-08-14T06:05:22.988520Z","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":"2026-08-14T06:05:22.965357Z","title":"Learning discriminative features with multiple granu- larities for person re-identiﬁcation","venue":null,"work_id":"721217ac-52a6-4d78-b957-4a30a25d7b13","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.496593Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:af2a4fecb162c587084c575fd9664456208e70b1bd6138db3e0f9ee0ea7a1c13","observation_id":"e01b8df6-bfc5-4100-b39f-f928657c1553","resolution":{"observed_at":"2026-08-14T06:05:22.970840Z","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":"2026-08-14T06:05:22.948629Z","title":"Non-local neural networks","venue":null,"work_id":"72721ca7-02c0-4924-bdd1-9477e48da717","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.501340Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:c16ad87e9841be6e1ef4bf0351e88d3b09280db10be831f667e84ecd2a92174b","observation_id":"fda5205a-400d-4f1e-8160-507666d20464","resolution":{"observed_at":"2026-08-14T06:05:22.953853Z","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":"2026-08-14T06:05:22.931323Z","title":"Glad: Global-local-alignment descriptor for pedes- trian retrieval","venue":null,"work_id":"7051f6fb-44fa-4e29-b5ee-8b4720049279","year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.506603Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:5ba406cefe3e17a8eb6c21636bb22fd3f52d833d5d5d47300b55252e15a11c3b","observation_id":"eda30ded-dbef-475d-a7d5-13d48dfd609c","resolution":{"observed_at":"2026-08-14T06:05:22.936940Z","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":"1812.01187","last_updated":"2018-12-05T22:17:01Z","snapshot_observed_at":"2026-08-14T17:49:04.928598Z","submitted_at":"2018-12-04T03:07:35Z","title":"Bag of Tricks for Image Classification with Convolutional Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.01187","snapshot_observed_at":"2026-08-14T06:05:22.512253Z","title":"Bag of tricks for image classiﬁca- tion with convolutional neural networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.512253Z"},"links":{"cited_paper":"/paper/1812.01187","citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:270994292a518b7a9844e04dc46c18947c1bb7d65d81212c2d0e46a317e3d26f","observation_id":"78723982-d16b-4e8b-b135-0bf93a20866b","resolution":{"observed_at":"2026-08-14T06:05:22.512253Z","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":"2026-08-14T06:05:22.913743Z","title":"Local convolutional neural networks for person re-identiﬁcation","venue":null,"work_id":"62b64558-ddee-417f-baa2-debb1731c657","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.517339Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:4cd014d77f1f79abcfa1a43a8566d1b9c9b0b8aa5aa253e2bb01cb36f0724d7c","observation_id":"9f65de51-ce91-4d79-873e-b3f5460bfa0a","resolution":{"observed_at":"2026-08-14T06:05:22.918918Z","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":"2026-08-14T06:05:22.898097Z","title":"Deep representation learning with part loss for person re-identiﬁcation","venue":null,"work_id":"62060594-3c71-4fba-b775-8f6af5e0616c","year":2019},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.524176Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:fd072c3a9e6b19dd859326d76952a60eaa1e40b66204ed2924a78eb447b51170","observation_id":"52d10563-1b96-4920-ac98-b338704cc3c2","resolution":{"observed_at":"2026-08-14T06:05:22.903359Z","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":"2026-08-14T06:05:22.882266Z","title":"Dilated residual networks","venue":null,"work_id":"eaf40f19-fe86-408e-ab5a-6bbfd9e4cfbc","year":null},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.529099Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:0fdea732efd757909d990982014c1d804c9d1024fda3f237f2d989ff9b2629f6","observation_id":"694e6546-da62-46e6-86d4-b76ad87c60ee","resolution":{"observed_at":"2026-08-14T06:05:22.887417Z","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":"2026-08-14T06:05:22.865428Z","title":"Compact generalized non-local network","venue":null,"work_id":"31a15b5a-7739-474f-a3c4-47447e7dafad","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.533919Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:94b479cc2403effd51da495492d4cb8bc6c8e5ea699dd048ca4019f93c87c8fb","observation_id":"2c2209de-bf86-4053-99e7-ce7a5cca1569","resolution":{"observed_at":"2026-08-14T06:05:22.870994Z","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":"2026-08-14T06:05:22.849988Z","title":"Deep mutual learning","venue":null,"work_id":"92d21fc4-ed0b-4193-8969-b269629fe741","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.539151Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:00b92f270b53517cde8bfa67dc2ba1c856a9c3e5ddb492792abe791e20d9a9c6","observation_id":"204f9575-910b-4398-b484-424f042208bd","resolution":{"observed_at":"2026-08-14T06:05:22.855009Z","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":"2026-08-14T06:05:22.830845Z","title":"Deeply-learned part-aligned representations for person re- identiﬁcation","venue":null,"work_id":"f0002839-be27-4e96-9b7c-b880ad305e7d","year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.544042Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:904832e8073414b51a868b6be04e17359971276aecadf2b54e60a22634d388ea","observation_id":"09e1bbaf-964b-45dc-9f32-8092ff5efcfb","resolution":{"observed_at":"2026-08-14T06:05:22.836694Z","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":"1810.12193","last_updated":"2019-05-05T13:35:15Z","snapshot_observed_at":"2026-08-15T16:20:29.331630Z","submitted_at":"2018-10-29T15:33:03Z","title":"Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.12193","snapshot_observed_at":"2026-08-14T06:05:22.548823Z","title":"A coarse-to-ﬁne pyrami- dal model for person re-identiﬁcation via multi-loss dynamic training","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.548823Z"},"links":{"cited_paper":"/paper/1810.12193","citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:ca07de6650866df6b24f5936278cc458efc5bace58c7a74cbabfc4bd1f4389bf","observation_id":"a21b3077-2b0b-4a38-8bf9-740dd839ed88","resolution":{"observed_at":"2026-08-14T06:05:22.548823Z","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":"2026-08-14T06:05:22.813466Z","title":"Scalable person re-identiﬁcation: A benchmark","venue":null,"work_id":"0640dfc7-187e-4e00-8024-60180670c9fa","year":2015},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.553592Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:ff7900ec6dd56ee7463be5aa12c42138a0c47b37c6e4f66d8814790a6fb390a7","observation_id":"e03ba833-07c4-4efb-894a-975f513af047","resolution":{"observed_at":"2026-08-14T06:05:22.818838Z","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":"2026-08-14T06:05:22.796910Z","title":"Unlabeled sam- ples generated by gan improve the person re-identiﬁcation baseline in vitro","venue":null,"work_id":"7191f00a-7ec4-411a-b90a-d4050ce40546","year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.558577Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:f4b7a8495a93863383a278f691400bffa0fce3d8e921a248613d6e6ddf6504e4","observation_id":"db58ff89-ec8a-4dca-93e4-7d946408b839","resolution":{"observed_at":"2026-08-14T06:05:22.802237Z","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":"2026-08-14T06:05:22.780179Z","title":"Pedestrian alignment network for large-scale person re-identiﬁcation","venue":null,"work_id":"d2d72b3c-03c9-4225-9cd0-ef54c962d9f2","year":2018},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.563714Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:d7de14f77fe05e79a3b2e78175385b1415ee2f286d39623536316de62126d7ed","observation_id":"3cbb4043-e1c7-4626-8401-c6eee49fed69","resolution":{"observed_at":"2026-08-14T06:05:22.785388Z","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":"2026-08-14T06:05:22.764114Z","title":"Re- ranking person re-identiﬁcation with k-reciprocal encoding","venue":null,"work_id":"dd2854e5-2208-4266-a1b5-7f65d5b394a5","year":2017},"citing_paper":{"arxiv_id":"1909.00295","last_updated":"2019-08-31T22:50:42Z","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T06:05:22.568507Z"},"links":{"citing_paper":"/paper/1909.00295"},"observation_digest":"sha256:de7c3f1473751e94fa5ba25023f598ac6ae3e293b336d56d25b1e88c924467e8","observation_id":"554ee365-e87d-4a21-be0b-43c64c9c40c0","resolution":{"observed_at":"2026-08-14T06:05:22.769206Z","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":"1909.00295","last_updated":"2019-08-31T22:50:42Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T21:34:38.401799Z","submitted_at":"2019-08-31T22:50:42Z","title":"Second-order Non-local Attention Networks for Person Re-identification"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":2,"verified_fuzzy":42},"total_outbound_references":53},"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 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:1909.00295."}