{"as_of":"2026-08-19T20:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fad5987999d89fdd8a2281d293b2ec9f5f3328c6bab0148c5c0fe301dcb61b65","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-24T18:52:38.429916Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1907.08822/citation-record","integrity":"/paper/1907.08822/integrity","json":"/paper/1907.08822/citation-record.json","paper":"/paper/1907.08822"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Person re- identiﬁcation by multi-channel parts-based cnn with improved triplet loss function","venue":null,"work_id":"a9ca3929-408d-4be8-a33f-724b6d72df9f","year":2016},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:b39875fd71988d4df07e8cc32952a9c4e3bf79d47e6bde540b58518e49c13304","observation_id":"a7adcfdc-96c6-4820-8981-47a64092a50f","resolution":{"observed_at":"2026-05-24T18:56:19.927664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dual attention matching network for context-aware feature sequence based person re-identiﬁcation","venue":null,"work_id":"bdcea9a1-097c-414b-a07b-1a995083f657","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:daf04f9c40fb0e6fa21135a32b58c0c2ebd5e8e5a184df2434f142e8f640638f","observation_id":"aac04f0f-5fb3-432f-a7ad-69378af3117e","resolution":{"observed_at":"2026-05-24T18:56:19.923362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Svdnet for pedestrian retrieval","venue":null,"work_id":"f87445ee-6737-45d4-83d8-e1892529ad2d","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:12b94fae159cf3aa3ff93756f2b3993e91a9c4a6a5911b13d5470ae66aab66da","observation_id":"32c17247-4a1a-4d88-8f7c-f9aa53ca8c40","resolution":{"observed_at":"2026-05-24T18:56:20.053458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep group- shufﬂing random walk for person re-identiﬁcation","venue":null,"work_id":"1fd75ec2-02e1-45be-aac8-7234cd623b7c","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:81cda123347447abeac2cfbe781b870fd1c80a5b8b07d81735b65034112b4511","observation_id":"7feaf33a-79a4-4156-9b2f-8513254010d9","resolution":{"observed_at":"2026-05-24T18:56:20.031126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Group consistent simi- larity learning via deep crf for person re-identiﬁcation","venue":null,"work_id":"3bf41784-7dbb-43c6-b6f4-44918c8c7b87","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:5668a7b43c128da40e58e2c7961784e4ea6b09ae27bda8802ed157d769741588","observation_id":"3767989a-7088-426a-bbe6-43a39b9bcf25","resolution":{"observed_at":"2026-05-24T18:56:20.048690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Harmonious attention network for person re-identiﬁcation","venue":null,"work_id":"823871ec-4fac-44b9-9f66-91a6dcdaf62d","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:516554f47b805f5725ace3823abbc83f3e727da1c4e34f7acb44e642787b738c","observation_id":"c51d0241-20a2-4415-8623-b86950b07125","resolution":{"observed_at":"2026-05-24T18:56:19.982227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Video person re- identiﬁcation with competitive snippet-similarity aggregation and co- attentive snippet embedding","venue":null,"work_id":"effdd553-b392-4f64-91b3-2305c76b06b6","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:e0c8409ef70d765b1bf7349f848e559bf940547d335c56c7794d95cae1e3f1c5","observation_id":"3e4a29aa-cb74-493a-ad67-a7a463b96479","resolution":{"observed_at":"2026-05-24T18:56:19.899891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multi-region bilinear con- volutional neural networks for person re-identiﬁcation","venue":null,"work_id":"7ad57c9e-c231-42a6-8b1b-cba2fe2dc807","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:46672578a486a2e39d4717a012f763087cca5e65f05c2d6d5e78b018504778c4","observation_id":"1401120b-7a14-4544-9788-c151b9d064a2","resolution":{"observed_at":"2026-05-24T18:56:20.035776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Pose-driven deep convolutional model for person re-identiﬁcation","venue":null,"work_id":"98204042-3388-4955-b96d-64acb1773484","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:7051185c7858fe47f736332d024680b6a1f404626753f291a3a1b23950dd56f6","observation_id":"7467b759-10a9-471c-9f8b-470204957282","resolution":{"observed_at":"2026-05-24T18:56:19.980993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Person re-identiﬁcation by deep learning attribute-complementary information","venue":null,"work_id":"b6c48bef-c917-413a-bae3-803764636d30","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:c54712ecef2b19d547a7a54e39129b0bee34b35f2c523787c4cec963c5ca25da","observation_id":"430ac2d3-0978-4537-9560-2def4e48b796","resolution":{"observed_at":"2026-05-24T18:56:19.885387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Beyond part models: Person retrieval with reﬁned part pooling (and a strong convolutional baseline)","venue":null,"work_id":"f183db31-8236-41e7-9668-886d4460aa8d","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:11d7cb1aa33c386d4177d2d7336faa7c81cd1e54fad75f404d10acd0062ab9ec","observation_id":"28390ede-eb5d-4a6e-8fb3-44454a2454b8","resolution":{"observed_at":"2026-05-24T18:56:19.975969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deeply-learned part-aligned representations for person re-identiﬁcation","venue":null,"work_id":"a87b3f6e-bb5f-48b5-94b1-11d81d7adc50","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:9ab970dddf8271fc1dd3c97345a6676683f397eea15600f98eaf341f58c36605","observation_id":"0406f753-9ed8-44a6-8e8d-bc116de3b749","resolution":{"observed_at":"2026-05-24T18:56:20.010600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Part-aligned bilinear representations for person re-identiﬁcation","venue":null,"work_id":"cdfd6c74-8d0c-44f2-a2a1-fcbedeb8a4a7","year":null},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:ae190271533f28918ec1af17b95e2184b17241d69b6e35bb02466440282daa58","observation_id":"01bb69d4-b533-4a5e-85f5-2d43bd1eca90","resolution":{"observed_at":"2026-05-24T18:56:20.020220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"86e88eb9-e51c-415d-a946-9c557c928ea6","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:4472266783df9422401eb2376b1b61134cf72d2d0d344caf39edf2e0d045640a","observation_id":"c750b0f4-9cc9-417e-8b13-1de40daa4c30","resolution":{"observed_at":"2026-05-24T18:56:19.985635Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Glad: Global-local- alignment descriptor for pedestrian retrieval","venue":null,"work_id":"70cd5238-ab18-4ae0-9577-dee4c309ce0b","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:8e295f34cbe42d5b33c44050dc4596fca00bace162d7cc586041615083724b4a","observation_id":"22b8b7bd-d241-4354-8577-f90dc7bc95c1","resolution":{"observed_at":"2026-05-24T18:56:20.004734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.12193","last_updated":"2019-05-05T13:35:15Z","snapshot_observed_at":"2026-08-18T17:14:46.289604Z","submitted_at":"2018-10-29T15:33:03Z","title":"Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training","version":3},"cited_work":{"arxiv_id":"1810.12193","doi":null,"metadata_source":"pith","pith_arxiv_id":"1810.12193","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training","venue":"cs.CV","work_id":"f0a4617f-3e90-4071-a9dd-27a92729d9b6","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"cited_paper":"/paper/1810.12193","citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:1390d7986a590d2f1c00d8ea04c97aa49cc494a7e3664b37f67cdf6bedde525b","observation_id":"0ca083cb-132f-44e8-ab05-69b1d40776d9","resolution":{"observed_at":"2026-05-24T18:54:50.937209Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.01438","last_updated":"2018-08-14T06:43:29Z","snapshot_observed_at":"2026-08-17T20:10:47.890098Z","submitted_at":"2018-04-04T14:36:01Z","title":"Learning Discriminative Features with Multiple Granularities for Person Re-Identification","version":3},"cited_work":{"arxiv_id":"1804.01438","doi":null,"metadata_source":"pith","pith_arxiv_id":"1804.01438","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning Discriminative Features with Multiple Granularities for Person Re-Identification","venue":"cs.CV","work_id":"4770c5ab-a008-4cb7-8017-40370c267fe8","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"cited_paper":"/paper/1804.01438","citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:61398fe3da2506f12b8c47ef675c4eeee98b8ad4c1899ddfda5757b30cf8ce2f","observation_id":"37f55422-7344-418c-85d1-42615d9219b3","resolution":{"observed_at":"2026-05-24T18:54:50.920725Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6203","last_updated":"2014-05-21T16:27:09Z","snapshot_observed_at":"2026-08-14T23:50:42.645895Z","submitted_at":"2013-12-21T04:25:53Z","title":"Spectral Networks and Locally Connected Networks on Graphs","version":3},"cited_work":{"arxiv_id":"1312.6203","doi":"10.48550/arxiv.1312.6203","metadata_source":"pith","pith_arxiv_id":"1312.6203","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Spectral Networks and Locally Connected Networks on Graphs","venue":"cs.LG","work_id":"ee51617a-8088-4c37-9862-f5b69065b817","year":2013},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"cited_paper":"/paper/1312.6203","citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:8e0fded4c0c7a1551fd3632425923af10477d1b1b3ca326fc13af67c17bb919f","observation_id":"e80dc8fd-fff0-4be7-869f-30a6510832fc","resolution":{"observed_at":"2026-05-24T18:54:50.926085Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-08-17T10:49:36.026134Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":"1609.02907","doi":"10.1039/d0cp00305k","metadata_source":"pith","pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","venue":"cs.LG","work_id":"21fff118-807d-49cd-8229-f7087ba57b5d","year":2016},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:76ced6b1571ae43ce93846e4bdfac7265ba85cce609985c1eda53946ab92d4d0","observation_id":"d2fb5909-6725-4b88-9cf4-ded78c31ef5d","resolution":{"observed_at":"2026-05-24T18:54:50.931449Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning convolutional neural networks for graphs","venue":null,"work_id":"ee670433-f7ff-426f-8711-24106d8e0a2b","year":2016},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:40e310f1f06a2864de584ef1fb2678ebaa4d4c9853688e9b11a6c8d3f61b74c5","observation_id":"8e82066d-bb9b-4539-ae3c-a091bbb5a70c","resolution":{"observed_at":"2026-05-24T18:56:20.025707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Convolutional neural networks on graphs with fast localized spectral ﬁltering","venue":null,"work_id":"01dd0f70-6513-420d-a883-4a9b67692904","year":2016},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:30e0c6a9fcb715a3325ad1534b11de3e9e2ba9c9e40a96d775e93e48ba47fa83","observation_id":"f134f954-835e-424a-9b40-46e2ea2b0e23","resolution":{"observed_at":"2026-05-24T18:56:19.896443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Spatial temporal graph convolutional networks for skeleton-based action recognition","venue":null,"work_id":"a7f885fb-cf3c-4417-9eee-d9b28e54a5ec","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:a933a543ce6a429df0667265f049ac998723e49c6f24dbcf629ca2ed44a8c074","observation_id":"aa53b72b-297d-4fdd-932b-74cf3103c1a4","resolution":{"observed_at":"2026-05-24T18:56:19.862045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Spectral networks and locally connected networks on graphs","venue":null,"work_id":"0a3153af-07e6-4764-b41f-54c8ec847352","year":2014},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:5582769a3838af71c0010d40232b6b709809c24549b962f67ae43d5a47c73744","observation_id":"8700c80a-8a2c-4964-9b26-45a9b0655a4f","resolution":{"observed_at":"2026-05-24T18:56:19.995245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Diffusion-convolutional neural networks","venue":null,"work_id":"66a4dfbb-e112-4d4a-8508-bf6a92748920","year":2016},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:b9c510a358c152214821a350c59b32d17e4d6797933f786817cb1ec710f559be","observation_id":"975deac9-bb29-4d2f-b12d-243291df1570","resolution":{"observed_at":"2026-05-24T18:56:20.025047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Geometric deep learning on graphs and manifolds using mixture model cnns","venue":null,"work_id":"a77bfcc0-da75-4920-8cd0-3a46c128271b","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:1c287f84455aa4ae7290cecefcc163ecc5085c311e723ffc501e989f58a2f260","observation_id":"c0a99664-13f8-466d-a9db-6267659104d0","resolution":{"observed_at":"2026-05-24T18:56:20.043630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10903","last_updated":"2018-02-04T19:13:29Z","snapshot_observed_at":"2026-08-13T22:35:40.714745Z","submitted_at":"2017-10-30T12:41:12Z","title":"Graph Attention Networks","version":3},"cited_work":{"arxiv_id":"1710.10903","doi":"10.48550/arxiv.1710.10903","metadata_source":"pith","pith_arxiv_id":"1710.10903","snapshot_observed_at":"2026-07-11T01:47:47.523783Z","title":"Graph Attention Networks","venue":"stat.ML","work_id":"7dd5bb04-b448-4f32-9719-5fc799641fd9","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"cited_paper":"/paper/1710.10903","citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:6cf7560e2a909ef5edbb3665d7897eced7ee724c5efa241b997e1bf4a4f34242","observation_id":"1364f7ac-8add-4968-ab69-51273799a172","resolution":{"observed_at":"2026-05-24T18:54:50.948732Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Neural graph matching networks for fewshot 3d action recognition","venue":null,"work_id":"e46bee8a-25fc-40f1-99a0-f2c3ea2cf158","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:fe5f79eaa3ea7f4a8f830a4e14f79be8538177cf8186b832b4d8bec6c12def00","observation_id":"3e6ddf33-7096-4619-940a-2c9c48ca8857","resolution":{"observed_at":"2026-05-24T18:56:19.954592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"3d graph neural networks for rgbd semantic segmentation","venue":null,"work_id":"ed178b49-fec2-4d64-85a6-204319954a9d","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:ae8cad75b738e0c4fbc0c42f3d60d1a20ec8c3406fa00c88e42d9f9a49588842","observation_id":"d659cc19-e3b0-4948-a06e-638c136ab14d","resolution":{"observed_at":"2026-05-24T18:56:19.997652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Person re-identiﬁcation with deep similarity-guided graph neural network","venue":null,"work_id":"b0a5e6d8-2a1d-4e0b-8c33-6a65815c601b","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:cc410bd3430b848de6f4075f64ca4624383f0c9162606f1f734efd6df07f3cc0","observation_id":"e80e262c-0b36-4ccf-bb70-b94ac903b89c","resolution":{"observed_at":"2026-05-24T18:56:20.039562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"b0539ba9-ad17-4850-aaa4-e761a8b00350","year":2016},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:00d2a493a223bb7313af369ce2178bbb4ba0f3d725aa5dbdcf7c0c1b913be128","observation_id":"9d03716b-20d1-4af7-b67c-129f76353aeb","resolution":{"observed_at":"2026-05-24T18:56:19.990607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.0575","last_updated":"2015-01-30T01:23:59Z","snapshot_observed_at":"2026-08-14T23:21:09.382166Z","submitted_at":"2014-09-01T22:29:38Z","title":"ImageNet Large Scale Visual Recognition Challenge","version":3},"cited_work":{"arxiv_id":"1409.0575","doi":"10.48550/arxiv.1409.0575","metadata_source":"pith","pith_arxiv_id":"1409.0575","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ImageNet Large Scale Visual Recognition Challenge","venue":"cs.CV","work_id":"2276495b-628b-4018-ae1b-0c6a96ec8a7c","year":2014},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"cited_paper":"/paper/1409.0575","citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:c99101ca213d235bb618b223d1dda1355effd561ab3a11a3083367d3e6ab1868","observation_id":"f44cb0d9-534f-4c7f-ba6a-981de87d9e55","resolution":{"observed_at":"2026-05-24T18:54:50.942914Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A tutorial on the cross-entropy method","venue":null,"work_id":"41d2a305-3549-4bb1-9977-a330b30c9147","year":2005},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:7bcfb8c96ec7440cb1eea57b9f9e0a1835854f1b548ca2657935af87cb0abd5f","observation_id":"0431d7bd-b992-4dad-a9e5-67deda909e35","resolution":{"observed_at":"2026-05-24T18:56:19.999518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hydraplus-net: Attentive deep features for pedestrian analysis","venue":null,"work_id":"cca9ae2c-af21-4080-9793-e1f4bcc8a00b","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:17e4ac022c9073582c5fe0ee5278bb191e3d761e379754b3f49950bd3986a547","observation_id":"f2b2fbcf-aafe-4c12-b6ec-d9b4cb66f9a7","resolution":{"observed_at":"2026-05-24T18:56:20.002176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Re-ranking person re- identiﬁcation with k-reciprocal encoding","venue":null,"work_id":"946531cf-d6b1-4c7d-a293-3a0fec3c6319","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:f27ad17bea6e5487f17a5f818c8b0d9d950ae29c594bd8ae3977e35782eb7bf1","observation_id":"a395bb67-89ec-4213-b8af-c66c157b4409","resolution":{"observed_at":"2026-05-24T18:56:20.014607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.04724","last_updated":"2017-05-23T01:04:56Z","snapshot_observed_at":"2026-08-17T14:29:38.709906Z","submitted_at":"2017-05-12T19:18:07Z","title":"Person Re-Identification by Deep Joint Learning of Multi-Loss Classification","version":2},"cited_work":{"arxiv_id":"1705.04724","doi":null,"metadata_source":"pith","pith_arxiv_id":"1705.04724","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Person Re-Identification by Deep Joint Learning of Multi-Loss Classification","venue":"cs.CV","work_id":"c51e5f92-33fa-428c-8004-bd72e6f02858","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"cited_paper":"/paper/1705.04724","citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:3e95cab0df13494c4fafd5a54434bb3b09467ab536a41921d90f648a7ee96b81","observation_id":"6f286060-79b5-4572-8b8e-aa6e73fef886","resolution":{"observed_at":"2026-05-24T18:54:50.915563Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Scalable person re-identiﬁcation on supervised smoothed manifold","venue":null,"work_id":"2d87c4e7-ffea-4f90-b616-6bdb5679510a","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:716cf3361e825f99862dcc468d28269e957c93ca7e7bf829a3c3dac9395995cc","observation_id":"af49c32d-5a63-4ec9-b5e4-c54ec854e7f4","resolution":{"observed_at":"2026-05-24T18:56:19.899095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Person re-identiﬁcation by deep learning multi-scale representations","venue":null,"work_id":"350f6e8d-75ce-45e3-a7dd-3d980c17bcd5","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:3d37e14b4e4685a3db3f610cec06c711049e34239087da433ba97701d1dc4d12","observation_id":"20907a16-bcc4-466f-97f6-56de6f9b4c75","resolution":{"observed_at":"2026-05-24T18:56:20.007684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Camera style adaptation for person re-identiﬁcation","venue":null,"work_id":"a083b9d2-0787-4f86-9ba8-c200be7a7e00","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:ee2863f51fa0220af74ba0f577e84cd1ed0b70bd8aa234863e18853b844f05b2","observation_id":"7d618b2c-82b2-4641-9960-8ff65f608efb","resolution":{"observed_at":"2026-05-24T18:56:19.890325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A pose-sensitive embedding for person re-identiﬁcation with expanded cross neighborhood re-ranking","venue":null,"work_id":"61b4a8ce-dcaf-4d4c-86be-77bf19b5380e","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:dccddcdc88254d1008c0e3cc02b4d77a045eebe143fdaa35904ed6c71ea14b64","observation_id":"59c0efb1-4037-4974-9a45-1e1460ad554f","resolution":{"observed_at":"2026-05-24T18:56:19.874001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Pose transferrable person re-identiﬁcation","venue":null,"work_id":"a808c680-ee28-42f7-8ca8-c15a29309d26","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:b342f72d72c6e0e391765f427b7163b66500f284a5ca29bdfd6babfcf70030de","observation_id":"e94c74c6-582d-4b47-a33e-413e6651b9e9","resolution":{"observed_at":"2026-05-24T18:56:19.958787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Person re-identiﬁcation with cascaded pairwise convolutions","venue":null,"work_id":"f5c022d0-0f8d-4450-8e81-91bc82b52c62","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:963e6aaa87c18dd07db295c1243a05fd01a1cf1b3beb9529821f19729dbe95cf","observation_id":"855e2ba0-ab9b-450e-87c7-9b007bf04aa1","resolution":{"observed_at":"2026-05-24T18:56:19.962359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Mask-guided contrastive attention model for person re-identiﬁcation","venue":null,"work_id":"6145dc5d-ea7f-4db8-ac9b-1c3cc14f79eb","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:98b62cccc10ad52ab0c7cdbc7d4b310082e5bd647c1f9aad5b39aa23cf31d9cb","observation_id":"1705eeab-af05-4ff2-9ae7-70df09a28c33","resolution":{"observed_at":"2026-05-24T18:56:20.013603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Safenet: Scale-normalization and anchor-based feature extraction net- work for person re-identiﬁcation","venue":null,"work_id":"b1c954dc-d519-4e7c-b42e-b6e373a880ed","year":2018},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:6fd28aaaa2eac8ad9f8c9a98a52f0d585d3dde431f4d209fd4669830d89f5554","observation_id":"03aac46d-536f-4e3c-a463-3563d28c25c9","resolution":{"observed_at":"2026-05-24T18:56:20.038488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Scalable person re-identiﬁcation: A benchmark","venue":null,"work_id":"6992d763-2e8c-409c-9ab8-14cbabf30df2","year":2015},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:5cf60108285a0859ce8680deac242648bb4e6b476d4e46d66dca334a2810183c","observation_id":"e19a4c36-fcca-47ca-8b43-4545eb68af85","resolution":{"observed_at":"2026-05-24T18:56:19.903298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Person re-identiﬁcation by local maximal occurrence representation and metric learning","venue":null,"work_id":"62647e0c-17e9-4f33-acda-b097686e4936","year":2015},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:21045be0b366a97eb34952f01dabfb1464bff8f4aebb2c4a876283f52d29d975","observation_id":"79efd2ce-4a70-4758-92d5-548064ef6f36","resolution":{"observed_at":"2026-05-24T18:56:19.939490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unlabeled samples generated by gan improve the person re-identiﬁcation baseline in vitro","venue":null,"work_id":"550b4fc8-0246-4d7d-a92c-6e3d12fe59fa","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:a34bc7c68a6831c1f7d522263747776cd6c824fe96651adc0467f1c0ebbd6e1a","observation_id":"de791686-2e56-4e8b-8ac1-d70edf9faec0","resolution":{"observed_at":"2026-05-24T18:56:19.966714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Re-ranking person re- identiﬁcation with k-reciprocal encoding","venue":null,"work_id":"6288e2eb-c80f-4aa5-a1cd-deddd2fa2f22","year":2017},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:a386a1b71e19a49818e1be541986aa309a29e0d724d061784d06cb871cc49dac","observation_id":"27dcfa7d-2544-4f3f-aed4-5316c223367b","resolution":{"observed_at":"2026-05-24T18:56:19.987837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deepreid: Deep ﬁlter pairing neural network for person re-identiﬁcation","venue":null,"work_id":"b252cb57-a049-4a77-9d61-684949d96655","year":2014},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:8d64597de24fc6825ca70e314088119122c13e6c41fdf76046fdd0e023d77c13","observation_id":"fc85b0a0-7603-4e86-9c40-b8baa1f3cc48","resolution":{"observed_at":"2026-05-24T18:56:19.993084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Object detection with discriminatively trained part-based models","venue":null,"work_id":"dafeec3d-13cc-4d53-aba8-d8bc72f3e822","year":2010},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:9b645177abaeb563945b91456d05328783befc7579aa9314e93c1c40b33a45ce","observation_id":"d0ce5359-2ab9-4a4b-b7cd-5c18ee8fed59","resolution":{"observed_at":"2026-05-24T18:56:20.029364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.01775","last_updated":"2016-09-19T17:27:19Z","snapshot_observed_at":"2026-08-14T21:41:03.879030Z","submitted_at":"2016-09-06T21:58:25Z","title":"Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking","version":2},"cited_work":{"arxiv_id":"1609.01775","doi":null,"metadata_source":"pith","pith_arxiv_id":"1609.01775","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking","venue":"cs.CV","work_id":"0ece1837-bc10-49a2-9650-f3af337c8817","year":2016},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"cited_paper":"/paper/1609.01775","citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:8ff5dc838980834aaed729f220b8b6bb9aa54924e27531bc93705dc4631537af","observation_id":"ef0e1b68-3ed8-4d7a-9edd-cbefb6c60b3e","resolution":{"observed_at":"2026-05-24T18:54:50.909366Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Large-scale machine learning with stochastic gradient de- scent","venue":null,"work_id":"e3702805-250e-42b1-b34a-6119a5da390b","year":2010},"citing_paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-24T18:52:38.429916Z"},"links":{"citing_paper":"/paper/1907.08822"},"observation_digest":"sha256:b67204973e8cb776769fa871832521f84dfba7c2ad14cb3f436547c6601aa003","observation_id":"48d81545-8686-4661-ba0e-7195b39e606a","resolution":{"observed_at":"2026-05-24T18:56:19.960584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1907.08822","last_updated":"2019-07-20T15:18:39Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T01:30:03.561607Z","submitted_at":"2019-07-20T15:18:39Z","title":"PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":8,"verified_fuzzy":42},"total_outbound_references":51},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:1907.08822."}