{"as_of":"2026-08-16T06:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2cbf41b1045d9a9889133113b1a9434ff72a65d1c1e071d490ca44f04b8ed995","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:19:34.285727Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.09327/citation-record","integrity":"/paper/1908.09327/integrity","json":"/paper/1908.09327/citation-record.json","paper":"/paper/1908.09327"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.939862Z","title":"An improved deep learning architecture for person re-identiﬁcation","venue":null,"work_id":"a742ab0b-209c-480f-b18f-217493b6d767","year":2015},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.097166Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:c9925db4415d9a3d04461489d26e5d9ab8fa2486b0e7c3981c30afd2291b2cf0","observation_id":"868bb443-7091-4a52-915d-4503558bab90","resolution":{"observed_at":"2026-08-14T11:19:34.945446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.07397","last_updated":"2018-06-07T16:25:12Z","snapshot_observed_at":"2026-08-14T20:45:49.587140Z","submitted_at":"2017-07-24T04:17:33Z","title":"Synthesizing Robust Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.07397","snapshot_observed_at":"2026-08-14T11:19:34.103088Z","title":"Synthesizing robust ad- versarial examples","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.103088Z"},"links":{"cited_paper":"/paper/1707.07397","citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:5020e1b2c4f2d84943b36a0484885559195e96b89d376285ef66fada68065ca2","observation_id":"ad24b906-6df4-4202-8262-6608b9fd5919","resolution":{"observed_at":"2026-08-14T11:19:34.103088Z","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":"2026-08-14T11:19:34.924862Z","title":"Towards evaluating the robustness of neural networks","venue":null,"work_id":"2ebc2d9e-862f-4658-a10b-99e5d586492e","year":2017},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.108498Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:458389b86ef0e6c682ee77319ace607210ef1f5b142ac48c2c938140da064c9c","observation_id":"4fa711a5-9d29-498a-be38-00e0af87deda","resolution":{"observed_at":"2026-08-14T11:19:34.930227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.909575Z","title":"Deep ranking for person re-identiﬁcation via joint representa- tion learning","venue":null,"work_id":"886704ef-674c-4f85-824a-a582d2145d8c","year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.113528Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:464b93c638360011e8b02b4233e13e25891f247dfba2668b5342e988aae482e9","observation_id":"1371fc2c-0c35-469c-bdf8-c16a0763d264","resolution":{"observed_at":"2026-08-14T11:19:34.915090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.894296Z","title":"A multi-task deep network for person re- identiﬁcation","venue":null,"work_id":"22fe8f32-40bd-4d74-a61c-28b1bd3cae43","year":2017},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.119138Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:0d70dce31c81f9a16049231e66a332833e2022b716274318e1426501e880b7d4","observation_id":"9a627a82-6057-45d2-a007-edfa0b823200","resolution":{"observed_at":"2026-08-14T11:19:34.899135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.877983Z","title":"Person re-identiﬁcation by multi-channel parts-based cnn with improved triplet loss function","venue":null,"work_id":"9d49e9d4-40d6-4421-acf4-a44d45946c6d","year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.124842Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:64d23da56149e0892491830d199feaf8850b4d6c276d4c1bd6d68ec85a593e5f","observation_id":"36d17007-e218-43ef-8bff-ecd52cdfa9de","resolution":{"observed_at":"2026-08-14T11:19:34.883082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.862594Z","title":"Deep feature learning with relative distance comparison for person re-identiﬁcation.Pattern Recognition, 48(10):2993–3003, 2015","venue":null,"work_id":"2d58a49e-340f-4adb-a6c1-c3a8a2c8ddc0","year":2015},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.130776Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:293218fc6454ee91946e56aac46ceeb215baeb5148a585f0bf45a64db4476acf","observation_id":"3ea8435e-ef70-4745-8c04-705c5d119452","resolution":{"observed_at":"2026-08-14T11:19:34.868019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.845459Z","title":"Robust physical-world attacks on deep learning visual classiﬁcation","venue":null,"work_id":"89e3f341-e30e-40c3-9fa1-ee236193e359","year":2018},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.135458Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:81d761a1ff0f6b8ced620089ff713b4773885846413bb782d995850a7e38152e","observation_id":"13d01826-d98b-4909-b17f-da0b345f4846","resolution":{"observed_at":"2026-08-14T11:19:34.851461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.827066Z","title":"The re-identiﬁcation challenge","venue":null,"work_id":"6bf3e2d9-754d-4c4f-b928-23a0a74226c7","year":2014},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.140189Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:e2ddf51b47cb532f539b6020ac6cd2b5f812c391305713c4f63d78e929d605fa","observation_id":"950bf45e-3c2f-4e98-b402-d25963cea6b5","resolution":{"observed_at":"2026-08-14T11:19:34.832488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-08-12T17:13:46.394331Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-14T11:19:34.144831Z","title":"Explaining and harnessing adversarial exam- ples","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.144831Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:5793b1451bbb0beccca6641e82260d3a0ee9e203cc3aab3de241c3ef43a2ecd7","observation_id":"9e061aa0-b1db-45ad-a53e-236937eb83ee","resolution":{"observed_at":"2026-08-14T11:19:34.144831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.04435","last_updated":"2016-06-16T08:14:12Z","snapshot_observed_at":"2026-08-14T21:52:47.700386Z","submitted_at":"2016-06-14T16:01:52Z","title":"Adversarial Perturbations Against Deep Neural Networks for Malware Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.04435","snapshot_observed_at":"2026-08-14T11:19:34.150832Z","title":"Adversarial pertur- bations against deep neural networks for malware classiﬁca- tion","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.150832Z"},"links":{"cited_paper":"/paper/1606.04435","citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:e9b6901d49b1d45070a4a319cc089917e945826133f296bb9345e6b5d28a9457","observation_id":"ababaec7-0ecf-4525-b51d-2e57b490885e","resolution":{"observed_at":"2026-08-14T11:19:34.150832Z","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":"2026-08-14T11:19:34.808020Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"9894cb44-8cdf-4ea7-955c-e3a46fd796ae","year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.156458Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:f01ee1826d994b5ef6f921ad95781934e738d09df40c12292d319f650ed3d2f4","observation_id":"76d5a4f0-096e-478f-87a6-5661c0b13a13","resolution":{"observed_at":"2026-08-14T11:19:34.813228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.790442Z","title":"Adversarial exam- ples for generative models","venue":null,"work_id":"712b63a9-f102-4cbc-ad1b-82901978e4fb","year":2018},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.160941Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:1b1a48b27a1bfb4abd73784adefafe66c02f643fd9ee8f0e15668398ce9dc88c","observation_id":"ef1b9e60-9488-46cd-8003-67fb13ff9239","resolution":{"observed_at":"2026-08-14T11:19:34.796484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.774657Z","title":"Imagenet classiﬁcation with deep convolutional neural net- works","venue":null,"work_id":"d80aea27-ee8b-4fc9-9205-8f8199e01748","year":2012},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.166151Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:abd26d0d9eabc40a10aca6bfbd845e1fd90932ffdc29fceb839ce37f6831013a","observation_id":"f4fbebdf-1833-4c70-bf0f-5b66487d88c0","resolution":{"observed_at":"2026-08-14T11:19:34.779480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1607.02533","last_updated":"2017-02-11T00:39:39Z","snapshot_observed_at":"2026-08-16T03:14:49.760924Z","submitted_at":"2016-07-08T21:12:11Z","title":"Adversarial examples in the physical world","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1607.02533","snapshot_observed_at":"2026-08-14T11:19:34.172053Z","title":"Ad- versarial examples in the physical world","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.172053Z"},"links":{"cited_paper":"/paper/1607.02533","citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:e05aa6a1bca1d11acf4093fe430874936bf3b70dcde04ec1941002ab1bc7bab5","observation_id":"bfa0ffbd-3462-47d8-8488-282f3b22dfe2","resolution":{"observed_at":"2026-08-14T11:19:34.172053Z","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":"2026-08-14T11:19:34.759474Z","title":"Feature cross-substitution in adversarial classiﬁcation","venue":null,"work_id":"b999cf26-ec41-4f73-90ed-987b6b7fd11c","year":2014},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.177712Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:92501b2a78b094e0b2af425123015b1be76ac8991a8a1fdd3cf4453f3d5be28c","observation_id":"5cc5e921-9380-4234-97f7-898639663b2d","resolution":{"observed_at":"2026-08-14T11:19:34.764259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.743350Z","title":"Scalable optimization of randomized operational decisions in adversarial classiﬁca- tion settings","venue":null,"work_id":"bfd1a152-7ae2-4a54-8f70-5ce890c86c89","year":2015},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.182231Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:43df62a3a75da148f42bb761af4978fcdbac0e69f70e4299a69948737569c3cb","observation_id":"db51c017-0e10-4b21-bfb2-5950c19872df","resolution":{"observed_at":"2026-08-14T11:19:34.749088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.726568Z","title":"Deep- reid: Deep ﬁlter pairing neural network for person re- identiﬁcation","venue":null,"work_id":"686e2534-c8f3-49cb-b03c-2c451583e2b5","year":2014},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.186831Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:840d8b4e0ede6cb17911abd3f57da18c9acc0ec277748d9c42e5ca3d7d1ceaec","observation_id":"ebf4a3da-f331-42c6-a143-e0505ef50c8a","resolution":{"observed_at":"2026-08-14T11:19:34.732353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.02770","last_updated":"2017-02-07T14:24:44Z","snapshot_observed_at":"2026-08-14T21:31:19.477872Z","submitted_at":"2016-11-08T23:25:00Z","title":"Delving into Transferable Adversarial Examples and Black-box Attacks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.02770","snapshot_observed_at":"2026-08-14T11:19:34.191381Z","title":"Delving into transferable adversarial examples and black- box attacks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.191381Z"},"links":{"cited_paper":"/paper/1611.02770","citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:eab853e1db59abaa4740ba2f4d48e5dac3a20c397e49b2b5e54b1fecf7c32783","observation_id":"ba064ed8-0e75-463f-bef0-ed35d0c455c6","resolution":{"observed_at":"2026-08-14T11:19:34.191381Z","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":"2026-08-14T11:19:34.711510Z","title":"Multi- camera activity correlation analysis","venue":null,"work_id":"cd25a2eb-3c7f-4177-a258-69a8aa7989ee","year":1988},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.196172Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:60d1af1cc7f4042a5a2a9d1fd547331d192e81e0a703e84f8399ee42ed22befd","observation_id":"e8828b48-b3c3-4277-ba36-5adeed5c10cd","resolution":{"observed_at":"2026-08-14T11:19:34.716309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.695646Z","title":"Understanding deep image representations by inverting them","venue":null,"work_id":"0b23eb13-9a9a-48c5-9f6f-a0bfc8c1aa3d","year":2015},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.201110Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:986035c1f2cafc53ab78c5fd0f2fd010d406e8d788ee3819156424db3488fe96","observation_id":"ab63ed06-8293-406d-bbb6-01b74e2286e6","resolution":{"observed_at":"2026-08-14T11:19:34.700832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.680892Z","title":"Deepfool: a simple and accurate method to fool deep neural networks","venue":null,"work_id":"d595950e-eba5-4664-836a-fe728e52d76e","year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.205567Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:147a2202466add12fcd81297fef27a558d6a39ed8db0144ff7a9546f0bf7d1a2","observation_id":"c9c2b32c-bfe7-440f-802e-4166646942e8","resolution":{"observed_at":"2026-08-14T11:19:34.685697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1605.07277","last_updated":"2016-05-24T03:27:48Z","snapshot_observed_at":"2026-08-15T19:47:29.283675Z","submitted_at":"2016-05-24T03:27:48Z","title":"Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.07277","snapshot_observed_at":"2026-08-14T11:19:34.210488Z","title":"Transferability in machine learning: from phe- nomena to black-box attacks using adversarial samples","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.210488Z"},"links":{"cited_paper":"/paper/1605.07277","citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:01204fb6d9d0d6329f4b8e3a157ccf93b387b4f10899e0f290561184432452fb","observation_id":"92a26411-4f5e-4805-91cd-f790e9f18fc5","resolution":{"observed_at":"2026-08-14T11:19:34.210488Z","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":"2026-08-14T11:19:34.664809Z","title":"The limitations of deep learning in adversarial settings","venue":null,"work_id":"964c9931-ef08-438c-b26a-089c9d2bdcba","year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.216153Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:671489c098fa0198c2beed176d68632e8e3dba050faa6e3f02e8208dc17bd0b5","observation_id":"acfb905a-2ef8-49fb-8292-6ab36e85c528","resolution":{"observed_at":"2026-08-14T11:19:34.670519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.648127Z","title":"Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition","venue":null,"work_id":"c5c1bcd1-59c5-456c-9072-654a1e6b00c8","year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.220909Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:1c51fd0a75859760991fb38c096c33f9d913cc770e90589f7e8486e74f07cfb2","observation_id":"a34fb749-7f89-487c-9c4f-a47871d8d9da","resolution":{"observed_at":"2026-08-14T11:19:34.653940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-14T23:20:42.336514Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-14T11:19:34.225922Z","title":"Very deep convolutional networks for large-scale image recognition","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.225922Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:99d3c33215ce9d42d8fd1ee5a729fd31d921622d21f70c8899f213acd57519e1","observation_id":"210ed392-7c4f-44c9-8818-83226c37a41a","resolution":{"observed_at":"2026-08-14T11:19:34.225922Z","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":"2026-08-14T11:19:34.631872Z","title":"Going deeper with convolutions","venue":null,"work_id":"852ec25b-d78e-42bb-80cf-e787587ebe3b","year":2015},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.231638Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:7fc16377dc3c1651621b9aed78387f9dbc04040892c15653015a007ab59b8d91","observation_id":"7992e4e4-cfda-4448-87cc-431fc2a7e052","resolution":{"observed_at":"2026-08-14T11:19:34.637711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6199","last_updated":"2014-02-19T16:33:14Z","snapshot_observed_at":"2026-08-15T16:41:15.505782Z","submitted_at":"2013-12-21T03:36:08Z","title":"Intriguing properties of neural networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6199","snapshot_observed_at":"2026-08-14T11:19:34.236407Z","title":"Intriguing properties of neural networks","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.236407Z"},"links":{"cited_paper":"/paper/1312.6199","citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:df24659c671671a99f10036021b5aa2709a4d400d0665f5973a3fb5ec8ca27e4","observation_id":"6d014810-2963-4065-bf4c-3c9b57fca6e8","resolution":{"observed_at":"2026-08-14T11:19:34.236407Z","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":"2026-08-14T11:19:34.616738Z","title":"Joint learning of single-image and cross- image representations for person re-identiﬁcation","venue":null,"work_id":"c5bd41c0-bfce-444e-b3ab-444ce6ca4672","year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.241570Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:09caa3ce7b3ddfafb6816fff79b5e7f3280a0bfbbaaea46a5c131522ca6a584c","observation_id":"11322698-0625-4d1f-9165-214f54c7ed3a","resolution":{"observed_at":"2026-08-14T11:19:34.621659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.598283Z","title":"Intelligent multi-camera video surveil- lance: A review","venue":null,"work_id":"a0b9cb3b-6459-42d1-9926-755d2ea9a051","year":2013},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.246233Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:4adc628bcecb71ee5478765a246ae5d561ebc4b92ff2d0c024d19e174384dd1d","observation_id":"ee481e28-cd68-4340-997c-b5b5df5c2883","resolution":{"observed_at":"2026-08-14T11:19:34.604530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.578635Z","title":"Learning deep feature representations with domain guided dropout for person re-identiﬁcation","venue":null,"work_id":"be6e5f38-a84c-4726-8b5b-a37c0986cbc7","year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.250912Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:2941d36abb7fd8e84f00a1ef74937285ae3b6f344d085bfed8e82c3ab9e4970f","observation_id":"bffc831a-e0c3-44b8-a281-a963b63750d0","resolution":{"observed_at":"2026-08-14T11:19:34.584290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.559470Z","title":"Deep metric learning for person re-identiﬁcation","venue":null,"work_id":"b6461d23-299f-4181-bce3-676b59d53428","year":2014},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.255838Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:3d72f8dac78333b930b52f24b08e0674577726deb5d5f24ff0bd9ed929a9105b","observation_id":"ea85a32f-1177-4809-a728-74f343ccd01d","resolution":{"observed_at":"2026-08-14T11:19:34.565883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.540660Z","title":"Harry potter’s marauder’s map: Localizing and tracking multiple persons-of-interest by nonnegative discretization","venue":null,"work_id":"0dda3927-860c-4fd3-88cb-c22b646f46f3","year":2013},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.260550Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:3f7fdce2cb5ebfabc09e603ec3c4ef699df0d771b4b4d5dd4209f7602f47db38","observation_id":"c25dd5b6-51e9-4a56-b9d4-758f12d77da8","resolution":{"observed_at":"2026-08-14T11:19:34.545985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.520842Z","title":"Age progres- sion/regression by conditional adversarial autoencoder","venue":null,"work_id":"14e2c83f-b3a3-47f1-8783-264d20d88534","year":2017},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.265643Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:a99f5a6f95cf3881ce45942d9fa282f6a8e00a16699545a3afd52c6559b3f84f","observation_id":"2b6fe0bd-79d9-49de-a36f-fd436a2c1b29","resolution":{"observed_at":"2026-08-14T11:19:34.526531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.502067Z","title":"Im- age super-resolution by neural texture transfer","venue":null,"work_id":"c331ce21-8f4b-4d80-9c9b-b705b1db6c18","year":2019},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.271192Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:aede713864d07d4e9f269bb49bee59574136e31ff692ca1e3783d86fc8e65292","observation_id":"13aabb1d-5c0c-4bb4-a485-5c5c2eb77eb7","resolution":{"observed_at":"2026-08-14T11:19:34.507791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1610.02984","last_updated":"2016-10-10T16:19:21Z","snapshot_observed_at":"2026-08-14T21:35:54.332920Z","submitted_at":"2016-10-10T16:19:21Z","title":"Person Re-identification: Past, Present and Future","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.02984","snapshot_observed_at":"2026-08-14T11:19:34.275737Z","title":"Person re-identiﬁcation: Past, present and future","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.275737Z"},"links":{"cited_paper":"/paper/1610.02984","citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:8e61c6afdc64a6f28bb703945756fec1e6f5c7bc343f26d206b3740974160b8f","observation_id":"ac01f514-478d-42ab-8601-29a1d331ad1e","resolution":{"observed_at":"2026-08-14T11:19:34.275737Z","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":"2026-08-14T11:19:34.484217Z","title":"A discrimi- natively learned cnn embedding for person reidentiﬁcation","venue":null,"work_id":"620c8bfa-5500-4057-b60e-de389cbd8fdc","year":2017},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.280910Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:27e540d68579b1b953871ee69e3743478d28b20802de0174b3bf07cc6e784d92","observation_id":"10613c77-578c-49e8-ae44-d8ca64dddca9","resolution":{"observed_at":"2026-08-14T11:19:34.490333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:19:34.464685Z","title":"Camera style adaptation for person re- identiﬁcation","venue":null,"work_id":"40f47abc-f432-4a56-8f1e-0911481da01c","year":2018},"citing_paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T11:19:34.285727Z"},"links":{"citing_paper":"/paper/1908.09327"},"observation_digest":"sha256:8899f01cc986f3250947a0f7e5afc1d4c8eafb48e699777f505c3024279f1259","observation_id":"5ff2eaa4-ec0f-415c-b741-379ac8461042","resolution":{"observed_at":"2026-08-14T11:19:34.471562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T04:38:43.058706Z","submitted_at":"2019-08-25T13:33:35Z","title":"advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":38},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:1908.09327."}