{"as_of":"2026-08-16T05:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2aab6bfa891df023384e07508c5c36e7bb606f1d3bd8f9817d15c3c2f27fcfa4","coverage":[{"denominator":72,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":72,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:21:15.655111Z","state":"measured"},{"denominator":72,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":72,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.05669/citation-record","integrity":"/paper/1908.05669/integrity","json":"/paper/1908.05669/citation-record.json","paper":"/paper/1908.05669"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:21:16.660807Z","title":"Adaptive learning for target tracking and true linking discovering across multiple non- overlapping cameras,","venue":null,"work_id":"6707c012-b22b-4b81-8a28-a340bcfd92b2","year":2011},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.345951Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:07a0fc86d65acfb47c08b78383a8a641205747b118f4239a0d52fff272f65978","observation_id":"ed5c94b3-e0b1-446d-b4fa-585808ef98ac","resolution":{"observed_at":"2026-08-14T13:21:16.665435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.646543Z","title":"Bit-scalable deep hashing with regularized similarity learning for image retrieval and person re-identification,","venue":null,"work_id":"04685503-631a-49ed-a384-85d4fc662625","year":2015},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.351144Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:26348ff0cfaab06fcdc28b7ce99744b7b6b0c30177fbfbfe4515089d43c3d98f","observation_id":"9ae3d6b4-4594-45a7-bdd4-99600c7d90a1","resolution":{"observed_at":"2026-08-14T13:21:16.651901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.632654Z","title":"Personal clothing retrieval on photo collections by color and attributes,","venue":null,"work_id":"9c6d2372-418e-4794-96fe-6279780d489a","year":2013},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.355671Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:81770ccd9347a484016943c8d7ad1003ce29d34dd214bdada5aa0153093cee1b","observation_id":"2cca966e-ccab-4090-848b-163c6e3188e0","resolution":{"observed_at":"2026-08-14T13:21:16.637571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.618872Z","title":"Scalable person re-identification: A benchmark,","venue":null,"work_id":"4debb544-d6b5-4743-82fe-c9a4abbf6116","year":2015},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.360029Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:a0d3a9a2e880d78c01ad818291ced9392e5ce02dd86c435f8a3c34eca0a211dd","observation_id":"daf45d6c-12c6-4ce8-b67e-dc647e7f5ea6","resolution":{"observed_at":"2026-08-14T13:21:16.623591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.604787Z","title":"Learning deep feature representations with domain guided dropout for person re-identification,","venue":null,"work_id":"41a98659-292a-4ee9-86ed-fe682ef8bb64","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.365450Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:5c5b9291982e35cf8c4c4bcba0f921503925018d42bbfd084b9954a483c71ee5","observation_id":"c96bed85-7589-4c23-b8e0-e0e76336277c","resolution":{"observed_at":"2026-08-14T13:21:16.609589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.590927Z","title":"A multi-task deep network for person re-identification,","venue":null,"work_id":"35f1651f-35d8-400e-ba81-a20e372f90bd","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.369995Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:6a5721a7ae91208a84b7ddacf0bf7533d68d94bddb8d6fd75f45617d4421efd0","observation_id":"5df5c6ce-e64b-4044-91c8-eba918cee930","resolution":{"observed_at":"2026-08-14T13:21:16.595714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.576414Z","title":"Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline),","venue":null,"work_id":"49a3f830-140e-4fad-96bd-6f8e52d5e9c3","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.374732Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:6bc0034050fee8c2b976a40e453ed5d2f85f8571e0f7de5ebed0d1e01fa2ebed","observation_id":"d770efb4-9f72-4b00-bc46-866db4971109","resolution":{"observed_at":"2026-08-14T13:21:16.581223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.562895Z","title":"Re-identification with consistent attentive siamese networks,","venue":null,"work_id":"dd4cd950-6461-4d90-953a-605fa897072f","year":2019},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.378994Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:05450fca0e1eacf3748fca4bf4e195820e83f2bbb5fbd01f27d503e3b1b06496","observation_id":"c73b7331-9f08-4d07-a87d-3f83e18d6fd6","resolution":{"observed_at":"2026-08-14T13:21:16.567324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.548956Z","title":"Unsupervised person re- identification: clustering and fine-tuning,","venue":null,"work_id":"7eeb1b0d-7510-46d1-9120-60f2e0aeabcc","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.383453Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:6bfe0a024f11a3f776450d2791380f79032ae4910a8e337cb2422385e07632f5","observation_id":"16bcf547-6f76-4b4b-a3ed-7813a174dfb0","resolution":{"observed_at":"2026-08-14T13:21:16.553954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.535598Z","title":"Generalizing a person retrieval model hetero-and homogeneously,","venue":null,"work_id":"380092d8-c9ce-4ecb-9357-9eaefda692a7","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.387668Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:020ef3d5396a916eca0ea5eca0e096118364e864e0237eb27822962ddb625cf4","observation_id":"14a70f5f-a6e1-4f78-8a2a-825c8f47d6e6","resolution":{"observed_at":"2026-08-14T13:21:16.540184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.522637Z","title":"Domain adaptation through synthesis for unsupervised person re-identification,","venue":null,"work_id":"fe07bdbf-817b-4dfb-a607-a802ec02eeda","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.393044Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:f9bd28b67b71b006c0b85dbbb801285eac7755b4fe5e0871423aca674c06f088","observation_id":"e87d2669-468f-445c-a5e8-1587c424b5b0","resolution":{"observed_at":"2026-08-14T13:21:16.527035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.509102Z","title":"Transferable joint attribute- identity deep learning for unsupervised person re-identification,","venue":null,"work_id":"1872b595-1be4-4cb1-b6c3-5ee3bcc20d98","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.397419Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:a63f10a423a1aeb337130a50f6e113c82969e51da57ed88c030f005c0320bad5","observation_id":"35b763ca-17d5-4239-bc61-41e9f6ecba17","resolution":{"observed_at":"2026-08-14T13:21:16.513510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.495515Z","title":"Unsupervised cross-dataset person re-identification by transfer learning of spatial-temporal patterns,","venue":null,"work_id":"525552ab-d69f-4ab7-a519-1a0fd722622b","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.402303Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:95576203760bef045958852f06bf3042257fad9d1bf3e8e56f03da6c436b68d6","observation_id":"95d25286-f95e-48ed-a60d-33f7c4a3fbbb","resolution":{"observed_at":"2026-08-14T13:21:16.499811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.481405Z","title":"Attribute-aware attention model for fine-grained representation learning,","venue":null,"work_id":"472c9804-2642-4f97-8309-f975f3f885fd","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.406559Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:c53a9d5ef9a3292d946489fdc6fa1ed4916210c89e7cc28fe7c7080ee88db4c1","observation_id":"bcb94a44-4272-40fb-99b6-8420d01c6ca1","resolution":{"observed_at":"2026-08-14T13:21:16.485588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.468044Z","title":"Deeply-learned part-aligned representations for person re-identification,","venue":null,"work_id":"387bbdbf-6b31-438f-8938-647440e6c388","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.411338Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:2015165b26d4f449b9b1aaa12caf798fb9a098daeec99186cad796b7df4af146","observation_id":"d4b66cdf-326c-41e6-ac48-84c522f37405","resolution":{"observed_at":"2026-08-14T13:21:16.472383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.454276Z","title":"Pose-driven deep convolutional model for person re-identification,","venue":null,"work_id":"b42e8626-7e2d-4463-8f7e-323759b8cf82","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.415421Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:1abd7b5b51cb2912c6d5538b116088eca9127afa88da2cf4a50febc1c13e7669","observation_id":"edda3f79-6f9e-46d0-986f-c897714d6996","resolution":{"observed_at":"2026-08-14T13:21:16.459260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.440728Z","title":"Pose invariant embedding for deep person re-identification,","venue":null,"work_id":"3025addd-0134-461f-98f8-df79f935205a","year":2019},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.420358Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:e287530636e237562635e2729b8f26afa880fa425f1f57fdae75017e9daca2f7","observation_id":"93f08f13-8b16-43b9-880a-8717bf72a1ea","resolution":{"observed_at":"2026-08-14T13:21:16.445346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.427484Z","title":"Spindle net: Person re-identification with human body region guided feature decomposition and fusion,","venue":null,"work_id":"d22652c9-c751-42af-adba-070eae520bc8","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.424594Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:39c93bddacd897358ddcccc6257a47648a47a4f08d3325756b8357f8e3e44ffc","observation_id":"45ee13ca-d5ed-47b7-9665-de58b73efe1f","resolution":{"observed_at":"2026-08-14T13:21:16.431879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.414365Z","title":"Gmmcp tracker: Glob- ally optimal generalized maximum multi clique problem for multiple object tracking,","venue":null,"work_id":"c6cd9264-a1f7-430e-b596-6078400feb79","year":2015},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.429550Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:205b6c87be8c049d284e24aeed52f44b31140836bafa36410ff8ac6a3ad5b7b1","observation_id":"06f6f95d-029f-4cf1-930e-bd24c63b0da8","resolution":{"observed_at":"2026-08-14T13:21:16.418590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.401013Z","title":"Non-markovian globally consistent multi-object tracking,","venue":null,"work_id":"bb9ae3e7-39f5-42de-89f0-1255752cd864","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.433885Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:7e5a4480b467a23b5f9c3901caa0e39b79e092586abeec28481ab0b4478731ac","observation_id":"0c2fc699-3255-4da7-89b6-6d002e3de265","resolution":{"observed_at":"2026-08-14T13:21:16.405277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.388328Z","title":"Multi-task mid-level feature align- ment network for unsupervised cross-dataset person re-identification,","venue":null,"work_id":"042c7f29-26db-4d4c-b5be-aa9c7c72cf99","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.439209Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:5a263fd1d2e4bf696f25e984900ace2e0c12361ef4332e09185b981ec31d1440","observation_id":"e44f6cd3-a6b8-4735-9758-8e4a403f11e0","resolution":{"observed_at":"2026-08-14T13:21:16.392311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.375414Z","title":"Cam- era adversarial transfer for unsupervised person re-identification,","venue":null,"work_id":"4cf3e5c0-03c0-433d-aa9b-785287f4e39f","year":2019},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.444564Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:65b1e7fc41612d32752e4ef6aba80b2404aa204a1bde6d440dd59deee3157aba","observation_id":"ef4aadaa-83a3-4f9d-8631-f48be5017397","resolution":{"observed_at":"2026-08-14T13:21:16.379646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.361955Z","title":"A novel unsupervised camera-aware domain adaptation framework for person re- identification,","venue":null,"work_id":"70164e24-514c-4212-8f28-819df54ab568","year":2019},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.448743Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:934b402f8597ec20b5d5e24c2fdb715f5cc4641f91097cfaf6fcdc8e29779d39","observation_id":"39826f15-b714-49bf-8205-d136209421ad","resolution":{"observed_at":"2026-08-14T13:21:16.366249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.348217Z","title":"Regularization with stochastic transformations and perturbations for deep semi-supervised learning,","venue":null,"work_id":"e2736458-5400-4fca-ae28-da083705672c","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.452775Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:08a95672e9a8a3371e1eab3ec1ffd4cff6db8e38891fb0381ee0280276f2861a","observation_id":"dd486bc1-aec3-4d02-90aa-ff85a2826966","resolution":{"observed_at":"2026-08-14T13:21:16.352693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.334792Z","title":"Semi-supervised learning with ladder networks,","venue":null,"work_id":"0fc130e4-4441-4a9a-8bb9-0c0cf7572009","year":2015},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.456943Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:3bcd651dad0c18f8c848829b4435fe2d0ead8ee63393838068507a6bd35acf96","observation_id":"e915f3f0-f325-4462-be50-7345f0048e98","resolution":{"observed_at":"2026-08-14T13:21:16.339243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.320836Z","title":"Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,","venue":null,"work_id":"d57d2f58-2efe-40b8-b864-89a157e98c31","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.461356Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:aa21dac7d8626ff960ae128502cf41a59a25cdd9b1327e99eb01225f15388a8e","observation_id":"b7bda712-c0f4-4618-842c-8f1ce297aa73","resolution":{"observed_at":"2026-08-14T13:21:16.325921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.307439Z","title":"Deep co-training for semi-supervised image recognition,","venue":null,"work_id":"7e01caa6-f327-4082-ba57-71e1297a9d66","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.465429Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:1d83e35072ae7ae82560e10605d818166c1ef2313954026f3df79d38b8767d2e","observation_id":"115c6512-def8-45c8-98fb-b2bed7d912f9","resolution":{"observed_at":"2026-08-14T13:21:16.311713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.293075Z","title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks,","venue":null,"work_id":"ac67dc29-a384-4fff-a9ef-0e2d5b4bee0b","year":2013},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.469524Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:3a54f69245946fbc7e0c4d669716badef28c51a563f295d5f7ea6afa0cb12485","observation_id":"fa003d0a-a233-4d44-9557-7f95e94c8caa","resolution":{"observed_at":"2026-08-14T13:21:16.297681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.279055Z","title":"Transduc- tive semi-supervised deep learning using min-max features,","venue":null,"work_id":"66004aab-1b8d-450d-8b57-b074b9fbef4c","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.474421Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:9fe1f199fbd6f8c3d03e6161f3f84382f4156f99fa5cc3866950059b8926c630","observation_id":"2f7c4099-5bd2-4b3f-b48f-7c33f4940831","resolution":{"observed_at":"2026-08-14T13:21:16.283271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.265961Z","title":"Label propagation for deep semi-supervised learning,","venue":null,"work_id":"08018482-c94f-4755-9eb8-0ed0e04ca082","year":2019},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.478555Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:7bc9f03143881ef025db994b15e15cfb339f4b605c56b7eb95c8439d7cf8e6a1","observation_id":"f0136dce-538e-400f-99dc-b7c491cea0d2","resolution":{"observed_at":"2026-08-14T13:21:16.270291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.251348Z","title":"In defense of the triplet loss for person re-identification,","venue":null,"work_id":"1d2003fb-ace0-4f18-af4a-da66d57273f2","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.482646Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:40675fbb6b07bf76cd088a1a91bd9fd57bd19afe0743051c169bda2c1b6243dc","observation_id":"6adae879-12b7-4a93-9ade-3453883d765d","resolution":{"observed_at":"2026-08-14T13:21:16.255738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.238344Z","title":"Person re-identification by local maximal occurrence representation and metric learning,","venue":null,"work_id":"beb76b72-9796-4a06-9646-3338e2d03765","year":2015},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.486609Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:fc5956ab7d361757a9620be2e45d2b9d58082c46f9a9ab418f9843266604e62d","observation_id":"a0faf918-05f9-4250-9e02-31a0ef746c38","resolution":{"observed_at":"2026-08-14T13:21:16.242614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.225133Z","title":"Unsupervised cross-dataset transfer learning for person re- identification,","venue":null,"work_id":"6a9a6976-1a8e-43a4-9506-77f65d8f939c","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.490718Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:32a834ad8185a8eb3f7c7656256bac94afa40bf650254a5c6094431398c52172","observation_id":"de199100-359b-44c2-a5ca-d182566e95f9","resolution":{"observed_at":"2026-08-14T13:21:16.229632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.211845Z","title":"Cross-scenario transfer person reidentification,","venue":null,"work_id":"ba4233ce-ccac-4dde-966b-25f149aec65d","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.495345Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:87e0abac2c18c10b8f2a0cd73e06681efeea89b7fabb2fb60d35cdd9c31efcfc","observation_id":"6d5a7b1c-e692-488b-b6cd-dd3bee6cb1a0","resolution":{"observed_at":"2026-08-14T13:21:16.216209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.198742Z","title":"Cross-domain person reidenti- fication using domain adaptation ranking svms,","venue":null,"work_id":"c2033b49-b4f2-4d28-9d8b-5065456a4de1","year":2015},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.499480Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:ac8e30c5988196b24efb27c17cc1db5c0caba2c6f4a88d82ee807ec1474e3fac","observation_id":"900a567a-d4d8-455c-ac73-975107ba635e","resolution":{"observed_at":"2026-08-14T13:21:16.203061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.184586Z","title":"Unsupervised joint subspace and dictionary learning for enhanced cross-domain person re- identification,","venue":null,"work_id":"b6b4c9bc-db65-4ee2-90e2-7cf631970e9d","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.503650Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:971797281596ace021baa25debc209b59779ec711fe83452182af543945dc926","observation_id":"4f743894-87ec-479d-827e-e3066254e370","resolution":{"observed_at":"2026-08-14T13:21:16.189888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.171471Z","title":"Cross-view asymmetric metric learning for unsupervised person re-identification,","venue":null,"work_id":"309490a6-bee9-4c1b-ac36-f5ed41539294","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.508116Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:257eb13c9c19336788faabf4a8e2b0f37d4fa3e63c23b489ead6a71642124411","observation_id":"f3ba1ddf-cc27-46ad-bc7c-4cb11f0e25d9","resolution":{"observed_at":"2026-08-14T13:21:16.175859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.158223Z","title":"Person transfer gan to bridge domain gap for person re-identification,","venue":null,"work_id":"bf46395e-392a-4745-bdf8-72d769e1e2ed","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.515832Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:386b067966a47853ae5e280a9974ee4fe3116403b6c6b8c1cdf6c7c2f9072cd9","observation_id":"df6807d0-1e8d-4fe4-b0ad-a9d136eb6cc8","resolution":{"observed_at":"2026-08-14T13:21:16.162735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.144860Z","title":"Image- image domain adaptation with preserved self-similarity and domain- dissimilarity for person reidentification,","venue":null,"work_id":"3372de90-655a-483b-8b24-d18aee8dec71","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.519963Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:04bc56c3a4fa3ae8a3b9bea2b1b7519e6f74a078c968887f741fd1136c1d7cb8","observation_id":"f681e7cf-9031-4a77-92a5-e3140a31a695","resolution":{"observed_at":"2026-08-14T13:21:16.149296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.131672Z","title":"Imitating targets from all sides: An unsupervised transfer learning method for person re-identification,","venue":null,"work_id":"f4ec292f-f1c6-4430-9908-dce64eeb04c2","year":2019},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.524147Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:92916033cd610f8775a2b8bd2c3dbc17383ec1a2f20f0ac94ddaab8b7837f70f","observation_id":"b1d7c23b-8aed-444a-b42d-235dfb00df01","resolution":{"observed_at":"2026-08-14T13:21:16.135964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.118196Z","title":"Invariance matters: Exemplar memory for domain adaptive person re-identification,","venue":null,"work_id":"95277e19-fea7-40a5-b029-f31b56474517","year":2019},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.528260Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:305d9b31a6b6ea3fabcca53c2d5e7f6c5afa7eaa6dd4f71984b17df93abd8def","observation_id":"d3a32e2b-b79c-4152-98e0-ae93e3411b11","resolution":{"observed_at":"2026-08-14T13:21:16.122891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.105203Z","title":"Person re-identification by unsupervisedl1 graph learning,","venue":null,"work_id":"bc326dfa-0e65-4da5-9696-662b0b25508e","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.532423Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:97671701da75e5acf8a18e1142ccfdb4b841889cc0ed4503b31cf075769799fa","observation_id":"f01415cf-329b-44bc-931a-94b66d354e51","resolution":{"observed_at":"2026-08-14T13:21:16.109447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.092219Z","title":"Unsupervised data association for metric learning in the context of multi-shot person re-identification,","venue":null,"work_id":"a6810def-b876-470a-bf00-8922eb0ff01f","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.536377Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:9499b10be2122c9c3aeacdb45b7e692f03a37795edfab24d8a1671d816902e31","observation_id":"3e3476e0-8bc7-4c85-bd81-89256b5ccc76","resolution":{"observed_at":"2026-08-14T13:21:16.096480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.078225Z","title":"Robust anchor embedding for unsupervised video person re-identification in the wild,","venue":null,"work_id":"4c080a41-2178-4147-8d5f-1a720d79da99","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.540581Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:78d37b7c01fd9a342919e86158b5fe94eea7aa964a3c147bf60e3c3fb59d15e0","observation_id":"20aafd76-b9d9-451f-96e2-29db19ae2889","resolution":{"observed_at":"2026-08-14T13:21:16.083305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.064502Z","title":"Stepwise metric promotion for unsu- pervised video person re-identification,","venue":null,"work_id":"0e58ec7b-6193-47d6-9125-d8634ae0eecd","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.544768Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:241b44153075b569181ed707cb3e8e7801f31b829600e03920bd8ea2f61d2417","observation_id":"deca0fe9-62cf-4a11-a700-34693d6b6d3b","resolution":{"observed_at":"2026-08-14T13:21:16.068965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.051408Z","title":"Dynamic label graph matching for unsupervised video re-identification,","venue":null,"work_id":"6dc54690-3474-4ab8-aa10-77b1b26a1cc1","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.549023Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:56eebdcf62b89a7f325a58f167a62cdc5486d91b338679974ac52500e9bfa1d3","observation_id":"3e75e2ed-0526-4b7a-9a11-b2a7a93207b2","resolution":{"observed_at":"2026-08-14T13:21:16.055593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.037838Z","title":"Deep association learning for un- supervised video person re-identification,","venue":null,"work_id":"d01a3374-9c58-4e20-98ec-2caeb45f2be4","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.553332Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:ab8cf5361428783cf187ffa285c726ba5cde6ed1192963006ea2ee64d752562f","observation_id":"09add2d4-5a50-49b8-81f0-fe8922aeed02","resolution":{"observed_at":"2026-08-14T13:21:16.042388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.024577Z","title":"Unsupervised person re-identification by deep learning tracklet association,","venue":null,"work_id":"80135f45-c924-41e9-906c-3aef9dbbb156","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.557403Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:ff6dcb7db1b89c85c3aa523cfcc157c13937f80061a212df1490de09465dc3a5","observation_id":"9c0a81ed-a6a5-4d1e-abd0-dfbd39d05146","resolution":{"observed_at":"2026-08-14T13:21:16.028950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:16.011118Z","title":"Unsupervised tracklet person re-identification,","venue":null,"work_id":"b8186efc-693a-40e9-9554-7c29343e9aa3","year":2019},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.561498Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:01f301d56f27433a97dd23f041322ac1ac2a59bb1445fb921b2b677bedbbdb7c","observation_id":"bc63ecab-04b5-4dd8-87c2-411d0b59d764","resolution":{"observed_at":"2026-08-14T13:21:16.015526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.997182Z","title":"Hierarchical gaussian descriptor for person re-identification,","venue":null,"work_id":"e8d2a045-95d3-41ce-b3f9-93177b6af14e","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.565582Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:1d4336cd389d2e959f884141b47d4f66bed8209f00f9a88cc3f3286bb63eb348","observation_id":"85579b1e-7c05-47e0-bbc7-cab55e94ccd9","resolution":{"observed_at":"2026-08-14T13:21:16.001478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.984154Z","title":"Learning a discriminative null space for person re-identification,","venue":null,"work_id":"c2e1a4c9-cf38-49ff-b267-c272ba642555","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.569530Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:b463a9064ea6a2eb9c577aaece02ba97afd137301796df7d3eb852b19e156f34","observation_id":"20f4353e-a7f3-40d1-ad14-105e2c0b73f8","resolution":{"observed_at":"2026-08-14T13:21:15.988504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.969643Z","title":"Large scale metric learning from equivalence constraints,","venue":null,"work_id":"a43c12c2-5488-43a3-b6bd-b5acc29db9ee","year":2012},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.573479Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:b6ae2d9f80ba8ef9252bf60583e992724fa56bd1e9c1059c17e635dc3a056811","observation_id":"3dfb0b23-08df-43e3-8ba8-647f73ad9c77","resolution":{"observed_at":"2026-08-14T13:21:15.974084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.956327Z","title":"An asymmetric dis- tance model for cross-view feature mapping in person re-identification,","venue":null,"work_id":"a8ffbf48-70b3-45b0-a0be-4dd9cb0c740a","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.578113Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:6e405217e2a81203043913bcf0747df0f09043d453c9a786e885b4d28cf19399","observation_id":"31f4dce7-ed7d-4866-b3fe-f37a95282319","resolution":{"observed_at":"2026-08-14T13:21:15.960651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.942727Z","title":"Svdnet for pedestrian retrieval,","venue":null,"work_id":"0b16d11d-ee8c-488f-b7f6-ec7a0dcfb584","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.582096Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:8561efba79b6c62d6ce1f3f4f755a211772a18eb6d1a8ed9df5b41ad4a8f268b","observation_id":"17c516c9-d0c0-467e-8cd8-71923add29aa","resolution":{"observed_at":"2026-08-14T13:21:15.947205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.928566Z","title":"Personnet: Person re-identification with deep convolutional neural networks,","venue":null,"work_id":"ed52bd71-84ac-4440-b200-742a7a5f0ae2","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.586076Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:5c78cff5503aabcc5fa75380d0218506d72e1ac133489e0ee3da4a29833582a8","observation_id":"b4cef6a0-b007-4a35-a261-a89ef9f725ed","resolution":{"observed_at":"2026-08-14T13:21:15.932959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.914113Z","title":"Gated siamese convolutional neural network architecture for human re-identification,","venue":null,"work_id":"507c01af-18cc-4f11-b213-007780c825dc","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.590216Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:28f90fd3a9a3829a3f9a7c4988b8171296407e93dec5f3c7c5d67aacb25bcc44","observation_id":"b4e5f5a6-05cf-485a-8f90-55dc28d639f6","resolution":{"observed_at":"2026-08-14T13:21:15.918902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.898368Z","title":"A siamese long short-term memory architecture for human re-identification,","venue":null,"work_id":"ab8526e4-576f-4a9e-8bc6-a17645b1cb76","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.594260Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:eae22c068d18923ad8a32f8f94c6ef4dad2f0a7f12f63c27a0ec9e48cf6921e0","observation_id":"8c7f88f2-49c0-44ea-9cc2-561932473585","resolution":{"observed_at":"2026-08-14T13:21:15.903198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.883967Z","title":"Features for multi-target multi-camera tracking and re-identification,","venue":null,"work_id":"b557f8d0-cc78-4ba8-a6a4-d4eca8eb207c","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.598459Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:6ad4da3418f30d467fb98eeaf2cd0a80f6b38cd45b8c0d9bcd29812a030decf5","observation_id":"33b0ab87-13f2-4b68-bc32-22620c875034","resolution":{"observed_at":"2026-08-14T13:21:15.888983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.869636Z","title":"Deep adaptive feature embedding with local sample distributions for person re-identification,","venue":null,"work_id":"f22f0a6a-1ffb-42f9-9b59-f996e773f4e1","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.602266Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:d665574d1977ef08ea8a4625844c60a6afae3057c1d02b271d77b0e7269a6260","observation_id":"d2f10cc8-5590-48c3-a01c-a2256adadd5d","resolution":{"observed_at":"2026-08-14T13:21:15.874134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.854766Z","title":"Learning deep context-aware features over body and latent parts for person re-identification,","venue":null,"work_id":"eef24f4a-3a7d-46f1-b060-8a5715af53f6","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.606180Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:816348d7417ff69aebc52539c7efc39fe55285a6c2e7fbf37d0f7518febbbe19","observation_id":"87c4fcf6-d7b8-4209-b78b-584021125978","resolution":{"observed_at":"2026-08-14T13:21:15.859694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.841371Z","title":"Mutual exclusivity loss for semi-supervised deep learning,","venue":null,"work_id":"27ad8955-27b9-4a45-a931-898ddd951c5c","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.610437Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:5bdce773afd6f9e705227edb359360c084fbbeeeba585b0b8f1bc65ce83ba882","observation_id":"a5b90db9-e51f-4666-b15b-0a3daeaf386c","resolution":{"observed_at":"2026-08-14T13:21:15.845655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.614428Z","title":"Temporal ensembling for semi-supervised learn- ing,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.614428Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:742b43b5f043b077e3c2665a69cf84a4c7d866a376d760b0587eace25043c1ed","observation_id":"f58ec6c4-6cb4-433b-bd6f-ccea53bce266","resolution":{"observed_at":"2026-08-14T13:21:15.614428Z","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":"2026-08-14T13:21:15.818491Z","title":"Virtual adversarial training: a regularization method for supervised and semi-supervised learning,","venue":null,"work_id":"3514f44e-3afe-4cc5-8a68-3987ba51e997","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.618511Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:f0f0c21ac141443312fd0c7e24b92993d569e5356ec1b86ebb35a191908e2ea2","observation_id":"dc58a480-5fe9-48ba-983b-581c5c145da0","resolution":{"observed_at":"2026-08-14T13:21:15.822899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.622540Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.622540Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:e24cbbbc624244d4eb72fc5790e42fc324c55435f3161bdf3709bf09dba55d78","observation_id":"c0abcf01-37db-462a-a3b6-a6b8edcc5ffa","resolution":{"observed_at":"2026-08-14T13:21:15.622540Z","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":"2026-08-14T13:21:15.793661Z","title":"Imagenet: A large- scale hierarchical image database,","venue":null,"work_id":"64ed254f-17ce-442b-a1c7-2d190a66a37b","year":2009},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.626654Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:247600b0e2ec23f6170680ecaaac2875b48f05da4cab6c838af9983eefc0eb3e","observation_id":"a1195bbc-c784-4e87-b90e-c2663a2c1a00","resolution":{"observed_at":"2026-08-14T13:21:15.798458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.780453Z","title":"Maskreid: A mask based deep ranking neural network for person re-identification,","venue":null,"work_id":"20665c74-2547-4a77-83c9-c665357bef66","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.630665Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:4008ce0295c6fbb2e77995876429c9fd072eeb13c9ac04157732349b1f7dbb9d","observation_id":"a26f594a-2302-40cb-ae84-9e8c83b1c4f8","resolution":{"observed_at":"2026-08-14T13:21:15.784823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.766121Z","title":"Unlabeled samples gener- ated by GAN improve the person re-identification baseline in vitro,","venue":null,"work_id":"14a870dd-56ba-4df1-a683-c153b3dce4f6","year":2017},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.634611Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:3f90afa019c1ffc86605e813f01dd75c1b771a70aa2debed90e2af15a95451ed","observation_id":"2b8f8a87-b76d-44c0-b263-de2dd65fac94","resolution":{"observed_at":"2026-08-14T13:21:15.770946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.750500Z","title":"Unsupervised person re-identification by soft multilabel learning,","venue":null,"work_id":"4ab31ec9-8d73-4ddb-b135-b034b5c5cc52","year":2019},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.638714Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:b7d1680b1ec73a7d59e65e3604cedb6978d4706cc955144f12cf3a5791278299","observation_id":"5653ee70-8be5-4eec-aeee-8e0e38467bee","resolution":{"observed_at":"2026-08-14T13:21:15.754830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.735832Z","title":"MARS: A video benchmark for large-scale person re-identification,","venue":null,"work_id":"e36b2b71-9b9d-4300-a928-56f2040faf13","year":2016},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.642945Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:c7a32cb8f5d4cd9be4cac84f21517afe25ddd66508873cc65de558d9b4a62dbe","observation_id":"12958aca-7615-422f-b676-ff8b4575fab1","resolution":{"observed_at":"2026-08-14T13:21:15.741295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.722213Z","title":"Object detection with discriminatively trained part-based mod- els,","venue":null,"work_id":"7ce1df71-42e9-4658-b2c4-fff80cae60d2","year":2009},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.647100Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:bf55d35c8b3910c77dd46ff4bf3dd73994d13d628bb4086ce1c36b3847f62502","observation_id":"a352baa5-fe75-4e61-8ae7-12bff6208a9e","resolution":{"observed_at":"2026-08-14T13:21:15.726743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.708516Z","title":"Person re-identification by local maximal occurrence representation and metric learning,","venue":null,"work_id":"11bd07e3-360d-4fd1-a79c-709a8c57d75f","year":2015},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.651115Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:960302972e32481dd607c1faa2d548c5d1f1ec72e6cb9e9c8154a0321e7d209e","observation_id":"6e21d878-0cc6-4c36-b715-c8489bb84a48","resolution":{"observed_at":"2026-08-14T13:21:15.712971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T13:21:15.692847Z","title":"A discriminatively learned cnn em- bedding for person reidentification,","venue":null,"work_id":"48bc3edc-4569-47c4-874d-cfea7f80c4a0","year":2018},"citing_paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-14T13:21:15.655111Z"},"links":{"citing_paper":"/paper/1908.05669"},"observation_digest":"sha256:4e09e01f51c9fcbe2a1bfe37e7ce92888720b9f1c8b0ac8e7463ec7e98828f6c","observation_id":"708893ed-c588-4e53-91fa-97d0d0ce1ab5","resolution":{"observed_at":"2026-08-14T13:21:15.698981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.05669","last_updated":"2020-03-24T15:34:39Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T13:13:35.874918Z","submitted_at":"2019-08-15T00:19:02Z","title":"Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification"},"reference_resolution":{"displayed":72,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":70},"total_outbound_references":72},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:1908.05669."}