{"as_of":"2026-08-22T14:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aef6d4572e5e2562dc5f6a75fe1086a8bc83c88b40c6f898ceb180f0d345a71f","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:10:05.415813Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-15T21:13:39.134225Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-15T21:16:38.265636Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"cited_work":{"arxiv_id":"1908.01683","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1908.01683","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Spatially and temporally efficient non-local attention network for video-based person re-identification","venue":null,"work_id":"2e4fc20d-3027-4b2d-8054-ecac3f17bfc7","year":1908},"citing_paper":{"arxiv_id":"2602.18047","last_updated":"2026-04-11T06:55:47Z","snapshot_observed_at":"2026-08-15T07:36:03.350475Z","submitted_at":"2026-02-20T08:00:17Z","title":"CityGuard: Graph-Aware Private Descriptors for Bias-Resilient Identity Search Across Urban Cameras","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-15T21:13:39.134225Z"},"links":{"cited_paper":"/paper/1908.01683","citing_paper":"/paper/2602.18047"},"observation_digest":"sha256:425cc241b9d972f1664d91e2b2d500441ffe63f9847f12b9528da12714f3ca92","observation_id":"d18c3122-c60b-4975-b711-1b126cbc3208","resolution":{"observed_at":"2026-05-15T21:16:38.267121Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1908.01683/citation-record","integrity":"/paper/1908.01683/integrity","json":"/paper/1908.01683/citation-record.json","paper":"/paper/1908.01683"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.377150Z","title":"Video per- son re-identiﬁcation with competitive snippet-similarity aggregation and co-attentive snippet embedding","venue":null,"work_id":"c4ae1171-70c9-43ba-9915-d02fdbe97bad","year":2018},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.168990Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:26795c2d75f1e27543a2f611a192f9fcce7a37247f2f09bd8eb328f3719294d0","observation_id":"3a5d6a8e-920a-4880-ad07-e97f310e7086","resolution":{"observed_at":"2026-08-14T15:10:06.382968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.359705Z","title":"Deep spatial- temporal fusion network for video-based person re-identiﬁcation","venue":null,"work_id":"0e4a6fa9-644a-4b10-894a-4cbb058f3a02","year":2017},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.174523Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:640ec039267dc88f7865bb69c205e3e0ae91d7caa0b5362619b91eba7944a627","observation_id":"c979d0b7-f579-48e5-906f-e85ee33e553c","resolution":{"observed_at":"2026-08-14T15:10:06.365404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.340265Z","title":"Person re-identiﬁcation by multi-channel parts-based cnn with improved triplet loss function","venue":null,"work_id":"5ebc53e7-f94e-49f3-b74c-f766f6c8f159","year":2016},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.179419Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:b1efadd14ef0df2d21b4b6be2267893cbe2bad8cb617294352ab7e81d24a13a5","observation_id":"7caf19dc-6e4a-4fc0-84e7-5dab665e7086","resolution":{"observed_at":"2026-08-14T15:10:06.346440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.320903Z","title":"Custom pictorial structures for re-identiﬁcation","venue":null,"work_id":"043a182d-48f8-43ba-8976-74449e2cf1df","year":2011},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.185353Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:dd4f4f08fa13060e57c7f6359b33fb926f105bf75f4cd60e8e4204ff5c52b27c","observation_id":"5ad871fe-fe4f-47ae-a90b-f2e3a6b67984","resolution":{"observed_at":"2026-08-14T15:10:06.326480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.07698","last_updated":"2022-09-04T16:26:45Z","snapshot_observed_at":"2026-08-21T20:24:10.571722Z","submitted_at":"2018-01-23T18:39:19Z","title":"ArcFace: Additive Angular Margin Loss for Deep Face Recognition","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.07698","snapshot_observed_at":"2026-08-14T15:10:05.190820Z","title":"Arcface: Additive angular margin loss for deep face recognition","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.190820Z"},"links":{"cited_paper":"/paper/1801.07698","citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:f3724c296537a8d1577656dbc3b7ac340cef633d9eaeddd5669eb36bcf226532","observation_id":"38266232-47c1-4d98-8e2a-b005aff30fde","resolution":{"observed_at":"2026-08-14T15:10:05.190820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.301053Z","title":"Person re-identiﬁcation by symmetry-driven accumulation of local features","venue":null,"work_id":"a122a2e3-5141-452c-8fc7-e01eddb91b57","year":2010},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.196487Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:6eb94834f0120db9debcf2b5e4cf05f1c50af9b79070a781eb16d6427f34dd38","observation_id":"aa3b7a63-a21d-4395-a4ee-b4371d4173e7","resolution":{"observed_at":"2026-08-14T15:10:06.307560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.282831Z","title":"A discriminatively trained, multiscale, deformable part model","venue":null,"work_id":"848e4a76-c9bd-4e4f-ba2a-ca943ac189dc","year":2008},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.201914Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:1ad94378e8f1a83935c350eed92a39a832f4bdc01db3bbb1009d242a003a9971","observation_id":"c5dc9fb0-c1b5-43ce-8956-35967f04b474","resolution":{"observed_at":"2026-08-14T15:10:06.289095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.261873Z","title":"Sta: Spatial-temporal attention for large-scale video-based person re-identiﬁcation","venue":null,"work_id":"0651004e-3d4c-422a-afab-92e263ee4fa0","year":2019},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.207895Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:26c253432ade08a3e80b047911026d62be8daa22551f880d75923c0cfa97e338","observation_id":"936ff273-e8df-449c-b057-acee748f4b7b","resolution":{"observed_at":"2026-08-14T15:10:06.268693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.236941Z","title":"Viewpoint invariant pedestrian recognition with an ensem- ble of localized features","venue":null,"work_id":"bb0778bf-cf84-4b83-8066-3e699857a9ea","year":2008},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.212983Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:697437bc6ade03d2e80c562b243e0fab8380286ee0f77594966c093b607e0b3a","observation_id":"e056e3a6-c798-49ad-9fac-0c5995bf8507","resolution":{"observed_at":"2026-08-14T15:10:06.243132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.217534Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.217534Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:e6bf8f41bc2d63c1ad18ca9fb9e20d25573630d1974a8100ac40d18e2621e99b","observation_id":"0265dc44-2255-4c32-aa68-011113987138","resolution":{"observed_at":"2026-08-14T15:10:05.217534Z","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":"2026-08-14T15:10:05.222602Z","title":"In defense of the triplet loss for person re-identiﬁcation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.222602Z"},"links":{"cited_paper":"/paper/1703.07737","citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:dbeea02b61b10c465c5445061ae8a2d967b5478d92bf045ab3037293031a3eb8","observation_id":"d64537e6-b725-4f10-b683-e362f4478585","resolution":{"observed_at":"2026-08-14T15:10:05.222602Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.201689Z","title":"Person re- identiﬁcation by descriptive and discriminative classiﬁcation","venue":null,"work_id":"4e065e58-d6b4-42aa-ac6d-084f23f3353a","year":2011},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.228079Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:312c68a86e2b75910993163bebd3a842e8725f9cbb0b6a03cf5381cad7703248","observation_id":"9eaadd3e-f58f-494f-aead-ae71731e415e","resolution":{"observed_at":"2026-08-14T15:10:06.207191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1502.03167","last_updated":"2015-03-02T20:44:12Z","snapshot_observed_at":"2026-08-12T21:01:12.961874Z","submitted_at":"2015-02-11T01:44:18Z","title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1502.03167","snapshot_observed_at":"2026-08-14T15:10:05.233499Z","title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.233499Z"},"links":{"cited_paper":"/paper/1502.03167","citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:2e2f35f8fe385b7ff6d106d33c523c829fff53e138850980028dd352ebbc8436","observation_id":"6e00a2b4-bc30-49ab-9a2a-435027f4c219","resolution":{"observed_at":"2026-08-14T15:10:05.233499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","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":"2026-08-14T15:10:05.238977Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.238977Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:4e60bc3676f96910cb0c501ccaa9bb83d1633497bcd76f57900f87b798436543","observation_id":"10763bd5-32ab-465b-ba5e-66c74b180b45","resolution":{"observed_at":"2026-08-14T15:10:05.238977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.184622Z","title":"Large scale metric learning from equivalence constraints","venue":null,"work_id":"d91310b5-2745-43ea-adbf-c091da69d8c3","year":2012},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.244913Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:447789b1cf0ca168cb48aa0fdfe26744bf0ab6d098ba12b8d4eedbc38690839f","observation_id":"660b6e61-9bf6-4987-b846-d710714f4277","resolution":{"observed_at":"2026-08-14T15:10:06.189790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.164369Z","title":"Learning deep context- aware features over body and latent parts for person re-identiﬁcation","venue":null,"work_id":"080abe47-e882-4fe9-a20a-740f99cd829f","year":2017},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.249679Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:e1978630ea04908a179de7736feb27640d5aeb89a7a0564631e77024734f387c","observation_id":"b06e137f-c60f-4dde-8319-820863205568","resolution":{"observed_at":"2026-08-14T15:10:06.170623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.138068Z","title":"Diversity regularized spa- tiotemporal attention for video-based person re-identiﬁcation","venue":null,"work_id":"749eb73e-2127-4f79-b61c-84d74404b1f1","year":2018},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.254361Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:f2ea534fd572eb28a822893b05a6424c91d49afe8c8ef04f9388216b94c40ff7","observation_id":"1a2d051e-33a5-4984-b0d6-b13db208fe2f","resolution":{"observed_at":"2026-08-14T15:10:06.145181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.115100Z","title":"Deepreid: Deep ﬁlter pairing neural network for person re-identiﬁcation","venue":null,"work_id":"a60714cd-876e-4a8b-825f-0edde99879c4","year":2014},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.260086Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:1a2e1db3142d527923d6fcd02a9d545029e8cc487a5e05da1adadcb9c810a5cc","observation_id":"910e6c67-c4b3-4245-8791-6ee48fa0e6af","resolution":{"observed_at":"2026-08-14T15:10:06.122375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.097213Z","title":"Harmonious attention network for person re- identiﬁcation","venue":null,"work_id":"163b9560-9f06-458b-a164-ea5e20ed6001","year":2018},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.266017Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:c61c5854e8dc3177cfa06371260868f6c16418887280f29ea16540582bf64342","observation_id":"48b74c41-2cc8-478e-942e-56eb6c6bc64f","resolution":{"observed_at":"2026-08-14T15:10:06.102531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.079068Z","title":"Person re-identiﬁcation by local maximal occurrence representation and metric learning","venue":null,"work_id":"dcded99a-3466-49ce-b0ec-c28306a2ab7d","year":2015},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.277616Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:f740e09a95843134a2c8c682cbaef7a2eb2c4409e4c444f9613e1f9aedc65262","observation_id":"31d7e63a-ac9a-4188-a686-1ed89ea682a2","resolution":{"observed_at":"2026-08-14T15:10:06.084606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.060985Z","title":"Sphereface: Deep hypersphere embedding for face recognition","venue":null,"work_id":"ec2598e8-1628-4310-8475-2e6644d23369","year":2017},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.283888Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:f87d2fa55410a7747f1b7858aeba1728b09fc7713c33f491b4713f02866c0c7a","observation_id":"f96ef2b2-44e1-4a81-8bf5-3bf755cf5fc3","resolution":{"observed_at":"2026-08-14T15:10:06.067283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.042160Z","title":"Person re-identiﬁcation by manifold ranking","venue":null,"work_id":"ee3e9e8c-b235-4dd5-9734-127d5327e65a","year":2013},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.289412Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:b3047fb252b3ffd18365946247198f0f4196182c897932ed600c131bdf3bad0a","observation_id":"a8c28556-5a42-4d6d-8f0a-6ade7f20e4d4","resolution":{"observed_at":"2026-08-14T15:10:06.048676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.022336Z","title":"Recurrent convolu- tional network for video-based person re-identiﬁcation","venue":null,"work_id":"7c3eda9c-8fd0-45a6-8f4a-84675ad154b0","year":2016},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.295108Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:27b61865c77d1f90803f0990083d28db18b4f6a02a1d7607c249214fedb82325","observation_id":"583f0afe-0259-44b2-bc55-1b95f88deeba","resolution":{"observed_at":"2026-08-14T15:10:06.028654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:06.000959Z","title":"Features for multi-target multi-camera tracking and re-identiﬁcation","venue":null,"work_id":"3994d08c-3a08-4c26-a7d2-d2b2a457d90c","year":2018},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.300871Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:0d363677fb05b13a416b02cb00e733f2b2a5c1b1027bb05554b557f0c34fddcc","observation_id":"975fa95d-da6f-4457-86f2-0de95e8d62c6","resolution":{"observed_at":"2026-08-14T15:10:06.008358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.982405Z","title":"Deep co-occurrence feature learning for visual object recognition","venue":null,"work_id":"a4cf4cd1-bb92-413b-8241-84b2f4cabf17","year":2017},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.306113Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:b3e7b3c6fe21716945fff7ec98f1e521f9cadd4ccdbbda5c54f31eb714b01bbb","observation_id":"49b85e03-f249-4a4b-8b5a-caef4778c1bf","resolution":{"observed_at":"2026-08-14T15:10:05.988353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.961542Z","title":"Springer","venue":null,"work_id":"2028757b-d0d0-429e-a06a-64194b01c126","year":2016},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.312099Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:ffc7e9efe05cd58d6e00976607178f454aedcf5f8f16721a2e9e15e5b800e1ea","observation_id":"58ac120d-362a-4c6a-9d2c-89b3cb52a319","resolution":{"observed_at":"2026-08-14T15:10:05.967789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.943668Z","title":"Svdnet for pedestrian retrieval","venue":null,"work_id":"04db6bd6-74d6-47aa-a8ef-39cbc940859a","year":2017},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.316907Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:d9eacba0e94c88956064e379a7cfe6b96a7125955081d5dba790f48087794ecc","observation_id":"4d58df50-fce2-441b-b3bb-4db58cd07c3b","resolution":{"observed_at":"2026-08-14T15:10:05.949500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.924732Z","title":"Beyond part models: Person retrieval with reﬁned part pooling (and a strong convolutional baseline)","venue":null,"work_id":"2eb70c69-a6e8-4c20-af96-39f9323383f8","year":2018},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.321713Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:553b0ab1bb91baf62938e15cbf7192dd99fa709bcf011af379980270ca768037","observation_id":"5dc53ab2-9e01-49d8-885b-9f8c1a8a865c","resolution":{"observed_at":"2026-08-14T15:10:05.930739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.326857Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.326857Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:87e39b5f98b8f6e3a0689d8ada0283d271ad7f58a64520a2adff479ad1ce303d","observation_id":"b887a6f9-915a-4ac4-a45a-24ca44932b26","resolution":{"observed_at":"2026-08-14T15:10:05.326857Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.894674Z","title":"Cosface: Large margin cosine loss for deep face recognition","venue":null,"work_id":"362161c1-6161-460d-a008-576ffbfaea7e","year":2018},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.332470Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:d6338c50b895e16ffe0e7505bbdb56f7c2f777be9671b93a6385f97f19aa3257","observation_id":"c03360f4-8f51-4475-86e0-00f33224d8f4","resolution":{"observed_at":"2026-08-14T15:10:05.900390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.877560Z","title":"Temporal segment networks: Towards good practices for deep action recog- nition","venue":null,"work_id":"0b7de909-efb9-49e4-85b3-0747761c829e","year":2016},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.337987Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:f636d8e46ebd7bfa480f7e13287db7e0f349756edbd988fb99934c2b525e1abc","observation_id":"c46ca6fc-fad7-4a19-80fb-ba82b1d1c927","resolution":{"observed_at":"2026-08-14T15:10:05.882904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.857846Z","title":"Person re- identiﬁcation by discriminative selection in video ranking","venue":null,"work_id":"be75346a-771d-4e61-adbc-ace2924a3636","year":2016},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.342745Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:8f152fa36be756dcfa9626194f52f4c4bc20e350117448855aab6862098b877c","observation_id":"585e90a6-30b5-42c0-ab17-d7787d2fcde1","resolution":{"observed_at":"2026-08-14T15:10:05.865306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.838150Z","title":"Non-local neural networks","venue":null,"work_id":"c9236ff7-de12-4c55-b7ca-42167a8244a5","year":2018},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.348517Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:b38d2cc9ddd8dc92c606d08fa5b8055c4e252621b6d34582f240b3301382682d","observation_id":"f7e8c4c5-7e20-44c3-a4c6-8b491a000526","resolution":{"observed_at":"2026-08-14T15:10:05.844820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.818642Z","title":"Person transfer gan to bridge domain gap for person re-identiﬁcation","venue":null,"work_id":"89311ac9-9823-41d6-91d5-25364e5a3a41","year":2018},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.353908Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:b89800a6436186baf648b470e88daed4099dd85a453a51a300f87a4d5436d7a7","observation_id":"67b7749c-2a6c-4c00-9b8a-7cf5c5379ffd","resolution":{"observed_at":"2026-08-14T15:10:05.825424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.798052Z","title":"Exploit the unknown gradually: One-shot video-based person re-identiﬁcation by stepwise learn- ing","venue":null,"work_id":"b4255cd3-94c3-416e-acba-8280e7a5ef59","year":2018},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.360378Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:4e45db6e891b9b4d67d332e9de52729a12a29972e46e848c16c0db8806d247fc","observation_id":"08ffc7fc-3d75-44e3-a0b2-179f1232a66b","resolution":{"observed_at":"2026-08-14T15:10:05.804567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.777952Z","title":"Exploit the unknown gradually: One-shot video-based person re-identiﬁcation by stepwise learn- ing","venue":null,"work_id":"860b29c5-c3ba-42c0-ad68-3b1c3f29d3d2","year":2018},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.366727Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:db4ad22f21cdb1fea06521544ac3331ba9a773246ecd7d63bb11a5a71c4e77e5","observation_id":"cd299dea-2d78-4e1e-84d8-dcd1b0731567","resolution":{"observed_at":"2026-08-14T15:10:05.784213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.758080Z","title":"Learning deep fea- ture representations with domain guided dropout for person re-identiﬁcation","venue":null,"work_id":"6dacfe29-c0d1-42c0-a268-8583dce3ce74","year":2016},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.372899Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:b7c915f81cf87a8ad130a0dcdac9ca18be9b56c83e707626b208e9d9076c7135","observation_id":"8e240d95-e09a-4307-9c78-b0d5a056e7d6","resolution":{"observed_at":"2026-08-14T15:10:05.765427Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.737926Z","title":"Jointly attentive spatial-temporal pooling networks for video-based person re-identiﬁcation","venue":null,"work_id":"fb314c30-9b8d-4cf6-890a-54d8c2085218","year":2017},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.378043Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:6f02c90b37604a4449920cafbdaa8da6176541686fc127975aecfa82f93a610b","observation_id":"fe390d4c-0e18-465f-9db2-fce632fe26fe","resolution":{"observed_at":"2026-08-14T15:10:05.744719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.715389Z","title":"Person re-identiﬁcation via recurrent feature aggregation","venue":null,"work_id":"5f2765a6-62aa-4248-a7c1-18fb30bf68bc","year":2016},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.383807Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:f941e625e68d2ec48386effafc34063988eac8a8a499d2618bf17aeff2eec545","observation_id":"443e1fc1-aadd-48ca-aa07-ccdcd90b223b","resolution":{"observed_at":"2026-08-14T15:10:05.722170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.690502Z","title":"Hierarchical bilinear pooling for ﬁne-grained visual recognition","venue":null,"work_id":"82834e31-fc29-48f0-adf8-697761187c09","year":2018},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.389897Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:afc9876cdfb18bd2fae30a3ba8140e0d044eb8c25bd61a46ef55ef155dcc5947","observation_id":"47c8e649-76e2-4b92-8c9d-6f2ff0b8b794","resolution":{"observed_at":"2026-08-14T15:10:05.700221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.668256Z","title":"Gmcp-tracker: Global multi-object tracking using generalized minimum clique graphs","venue":null,"work_id":"a8ceb603-21c8-4e4b-bdf1-326d7501b304","year":2012},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.395830Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:399a7e40ae6ac41371cd8b36afedf504741c9d753621cd6713410a929605dec3","observation_id":"cd6a6f21-6149-4d61-88f4-47a6da803bc4","resolution":{"observed_at":"2026-08-14T15:10:05.676828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.644002Z","title":"Scal- able person re-identiﬁcation: A benchmark","venue":null,"work_id":"733dafc2-5b40-418d-b6e7-6b8ac9342c83","year":2015},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.400690Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:ba819d4439390f706a4bbe033a1daa72c9f21593407d42d12970b8df0342e7e3","observation_id":"1e9b3083-82bf-4ad0-a9c3-93240a80f40e","resolution":{"observed_at":"2026-08-14T15:10:05.650954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1610.02984","last_updated":"2016-10-10T16:19:21Z","snapshot_observed_at":"2026-08-14T21:35:54.332920Z","submitted_at":"2016-10-10T16:19:21Z","title":"Person Re-identification: Past, Present and Future","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.02984","snapshot_observed_at":"2026-08-14T15:10:05.405247Z","title":"Person re-identiﬁcation: Past, present and future","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.405247Z"},"links":{"cited_paper":"/paper/1610.02984","citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:014f720dc2ef4284d132e9b63db047ad25fdd29b7da30e530a43c861d03eba04","observation_id":"a032287e-131f-492f-b39f-1fc3b72a195c","resolution":{"observed_at":"2026-08-14T15:10:05.405247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.621128Z","title":"Person re-identiﬁcation in the wild","venue":null,"work_id":"8abab222-9e89-4d0e-991e-1498312bfada","year":2017},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.410466Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:c53e39984603a5b97492e72fcb005ddafc31de4af07e7de4d6f6ee00a8e1b211","observation_id":"e346d6f7-a562-482f-8be5-342e3d4033d7","resolution":{"observed_at":"2026-08-14T15:10:05.628934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:10:05.592590Z","title":"See the forest for the trees: Joint spatial and temporal recurrent neural networks for video-based person re- identiﬁcation","venue":null,"work_id":"a3e188d3-c28e-43e7-bb5c-c5f73831b93d","year":2017},"citing_paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T15:10:05.415813Z"},"links":{"citing_paper":"/paper/1908.01683"},"observation_digest":"sha256:674e819f215ee29166227ecf6e289203372669e0ba0c0dcce9cd5a61a4b8f829","observation_id":"10086f91-f89b-4bb3-bd78-32d7b30d5922","resolution":{"observed_at":"2026-08-14T15:10:05.604751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.01683","last_updated":"2019-08-05T15:13:06Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T03:15:56.908375Z","submitted_at":"2019-08-05T15:13:06Z","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":38},"total_outbound_references":45},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:1908.01683."}