{"as_of":"2026-08-18T02:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:295de56b96e571d592b51e8eb31b8c4cab2599bbb27ac146fd73e4ac31c44265","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":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/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":"2026-08-17T21:57:33.347991Z","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":"sha256:7428bd068fa0ba01370f4a71408508e7901b8caf573b91b4f3bdb79bf9338aef","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-17T21:57:33.347991Z","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:de7933a05af037deff444703b1899de241db4466af39238e74ebe241a34eeebf","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":"2026-08-17T21:57:33.347991Z","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":"sha256:8e8c1649989b65ac6d3c55b87fa652156f1b876ef4c842147b040805c4bc3921","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.909575Z","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":"2026-08-17T21:57:33.347991Z","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:b3bc7653926c9a7d194a7757c8913381e84820ddbbf1712b4f135b8be6df3120","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.894296Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:91b08b8ab968288875ea7c5284d7941b2c740381a68aaf0352d46eac75fb996f","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.877983Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:4a7f3a43d4c01149260f9e3698481d8454f057f9d268b5e5500c4a1d7bff01a6","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.862594Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:86e8fdabe23f6469d7b99c466a06461386f8b7a3029d5bf2a23bfa79baf15d95","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.845459Z","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":"2026-08-17T21:57:33.347991Z","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:d86b9d765c13714a587ae2c08ec1c34fb3ca0752cdaaf2acad0043f6423aa25e","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.827066Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:689038aac7bbc395e82c56faec502e5c413337a16461a3d5670b5eb18274a5c6","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6572","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":"2026-08-17T21:57:33.347991Z","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":"sha256:2a958257d19ac06273a4e182b9a4d875bab809d234843bd47efc41d4b7991ae9","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":"2026-08-17T21:57:33.347991Z","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":"sha256:254914b0f6be2903daa83369f3f3747f90ab722437d510e3118ac6ee320724e8","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":"2026-08-17T21:57:33.347991Z","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":"sha256:59c405fb8619f863ad5940c60716fd6f79ce6ef89f64b145679de7fae865c826","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.790442Z","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":"2026-08-17T21:57:33.347991Z","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:a3bd8aebedd0fd63f4fb32c05c25885e24164dd2da27f6cdcdd0bc6353f7911d","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.774657Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:9b0d93a99722be3118dd38c50bc74c58c9a36c9dc8d82e8aa84eb7ad534b16d5","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-17T21:57:33.347991Z","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:b934f01379574b1e6cffec44d4690a418ba59f0b4aa30991f158ce9be6cb73ef","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":"2026-08-17T21:57:33.347991Z","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:f085d3210bc5d86111740d2ef6788850eba2b7c748e760cfd9d980b4d25f98dc","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.743350Z","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":"2026-08-17T21:57:33.347991Z","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:e25de41a7df1bd0e66922f48ca5c1fb02c82d2d169867c0de1bcf6b5fce3e174","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.726568Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:1cded573295c2f29d66ea01f9ab961e32cf30124bbb36e2990b3b893354c02cf","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-17T21:57:33.347991Z","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:a8035773f80a5f917c0f5e86709e42602c97fb9d9b87f44e6ee2a70a4688add4","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":"2026-08-17T21:57:33.347991Z","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":"sha256:7c0a162a228c668d3310ba1e57f68df24a2ddd820b038d928a2e670c50be9c26","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.695646Z","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":"2026-08-17T21:57:33.347991Z","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:da23ad1425849399bf769e344baf6d531c50c7caab2e4fc84ada27722f4b0af4","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.680892Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:05cc69a65842948b11a20a27811663c846e7d41e5d9feec35981c4c54aa1d062","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-17T21:57:33.347991Z","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":"sha256:5cc695655672c3636ec66d332601142645857e6a10997a4081d89be8dcf06f7e","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":"2026-08-17T21:57:33.347991Z","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":"sha256:6795aeb6a2c757714b5fac35bad13c0fabc2e74fd1a53708efbc0b89c21f8cb9","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.648127Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:018ad9984c1e34f2131170c48d6833213062d42b605fe44f68b8ac4aae51c3de","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-08-17T19:17:06.411141Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:2a178a336c874a234585590ae9ce61997f821ff19382559d3676881378d93aa9","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":"2026-08-17T21:57:33.347991Z","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":"sha256:73de4f7c80377911dfd676b0f43359fe86f08065a2d1190c09a57d9f0f762b61","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-17T21:57:33.347991Z","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":"sha256:737824c31960ea1be879cd0f2c7c2800e56584fcf2fb1d554ff30290ba4e953b","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":"2026-08-17T21:57:33.347991Z","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:c7f0e306c440750fd4170c17d75de1f6d2e9219a6fc30517526ada8c8509b276","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.598283Z","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":"2026-08-17T21:57:33.347991Z","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:eadcd5f6565c9c501c891f0f0415bab70aaedb536f9277e857cdd7a50dfa3cd3","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.578635Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:3fb346608cbcce511d250b8c2b7050fec50182f335654b743d5496911f22dd5d","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.559470Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:853ea2c73e85c328b303a37beb4e47fd2ea636f0df5bab097cbe47111caa21a5","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.540660Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:7c82b0925697091acaa8ab81fd3e208ad20467a452aae1700fadf1794ddfb38d","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.520842Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:3400cd32e1e6e4e7ce22944101bcb2a9f14f7102c99e3098c34f6309a01d5114","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.502067Z","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":"2026-08-17T21:57:33.347991Z","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":"sha256:4367f480ebf6d498e2300ccf9c206e069c7d3451bc8c2ece8fb643c5b7071336","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-17T21:57:33.347991Z","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":"sha256:801d371aeedfffb08f9d8ee67d61a48c08d2d91d92ba4476fc822d69a41b002e","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":"2026-08-17T21:57:33.347991Z","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":"sha256:02336e7d3f1e4e8b2a2523b100d29cdf1a09a1f9a17b9fb9af4e23c57720f222","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:19:34.464685Z","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":"2026-08-17T21:57:33.347991Z","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:e39e0709c6c4d61fe917b049033cc4be4beeb6c8b3abc888187d30eb8aa2d1f5","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 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.09327","last_updated":"2019-10-25T13:52:10Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T21:57:33.347991Z","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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:1908.09327."}