Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:19:34.285727Z
Paper Citation Record · LEDGER
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:19:34.285727Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
38 of 38 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 868bb443-7091-4a52-915d-4503558bab90 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns An improved deep learning architecture for person re-identification
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ad24b906-6df4-4202-8262-6608b9fd5919 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Synthesizing Robust Adversarial Examples
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fa711a5-9d29-498a-be38-00e0af87deda · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Towards evaluating the robustness of neural networks
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1371fc2c-0c35-469c-bdf8-c16a0763d264 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Deep ranking for person re-identification via joint representa- tion learning
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9a627a82-6057-45d2-a007-edfa0b823200 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns A multi-task deep network for person re- identification
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 36d17007-e218-43ef-8bff-ecd52cdfa9de · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Person re-identification by multi-channel parts-based cnn with improved triplet loss function
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3ea8435e-ef70-4745-8c04-705c5d119452 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Deep feature learning with relative distance comparison for person re-identification.Pattern Recognition, 48(10):2993–3003, 2015
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 13d01826-d98b-4909-b17f-da0b345f4846 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Robust physical-world attacks on deep learning visual classification
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 950bf45e-3c2f-4e98-b402-d25963cea6b5 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns The re-identification challenge
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9e061aa0-b1db-45ad-a53e-236937eb83ee · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Explaining and Harnessing Adversarial Examples
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ababaec7-0ecf-4525-b51d-2e57b490885e · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Adversarial Perturbations Against Deep Neural Networks for Malware Classification
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76d5a4f0-096e-478f-87a6-5661c0b13a13 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Deep residual learning for image recognition
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ef1b9e60-9488-46cd-8003-67fb13ff9239 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Adversarial exam- ples for generative models
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f4fbebdf-1833-4c70-bf0f-5b66487d88c0 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Imagenet classification with deep convolutional neural net- works
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bfa0ffbd-3462-47d8-8488-282f3b22dfe2 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Adversarial examples in the physical world
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cc5e921-9380-4234-97f7-898639663b2d · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Feature cross-substitution in adversarial classification
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation db51c017-0e10-4b21-bfb2-5950c19872df · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Scalable optimization of randomized operational decisions in adversarial classifica- tion settings
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ebf4a3da-f331-42c6-a143-e0505ef50c8a · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Deep- reid: Deep filter pairing neural network for person re- identification
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ba064ed8-0e75-463f-bef0-ed35d0c455c6 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Delving into Transferable Adversarial Examples and Black-box Attacks
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8828b48-b3c3-4277-ba36-5adeed5c10cd · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Multi- camera activity correlation analysis
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ab63ed06-8293-406d-bbb6-01b74e2286e6 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Understanding deep image representations by inverting them
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c9c2b32c-bfe7-440f-802e-4166646942e8 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Deepfool: a simple and accurate method to fool deep neural networks
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 92a26411-4f5e-4805-91cd-f790e9f18fc5 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acfb905a-2ef8-49fb-8292-6ab36e85c528 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns The limitations of deep learning in adversarial settings
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a34fb749-7f89-487c-9c4f-a47871d8d9da · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 210ed392-7c4f-44c9-8818-83226c37a41a · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7992e4e4-cfda-4448-87cc-431fc2a7e052 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Going deeper with convolutions
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6d014810-2963-4065-bf4c-3c9b57fca6e8 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Intriguing properties of neural networks
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11322698-0625-4d1f-9165-214f54c7ed3a · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Joint learning of single-image and cross- image representations for person re-identification
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ee481e28-cd68-4340-997c-b5b5df5c2883 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Intelligent multi-camera video surveil- lance: A review
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bffc831a-e0c3-44b8-a281-a963b63750d0 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Learning deep feature representations with domain guided dropout for person re-identification
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ea85a32f-1177-4809-a728-74f343ccd01d · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Deep metric learning for person re-identification
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c25dd5b6-51e9-4a56-b9d4-758f12d77da8 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Harry potter’s marauder’s map: Localizing and tracking multiple persons-of-interest by nonnegative discretization
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2b6fe0bd-79d9-49de-a36f-fd436a2c1b29 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Age progres- sion/regression by conditional adversarial autoencoder
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 13aabb1d-5c0c-4bb4-a485-5c5c2eb77eb7 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Im- age super-resolution by neural texture transfer
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ac01f514-478d-42ab-8601-29a1d331ad1e · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Person Re-identification: Past, Present and Future
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10613c77-578c-49e8-ae44-d8ca64dddca9 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns A discrimi- natively learned cnn embedding for person reidentification
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5ff2eaa4-ec0f-415c-b741-379ac8461042 · outbound
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Camera style adaptation for person re- identification
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
No inbound Pith citation observations are available.