Paper Citation Record · LEDGER

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns

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.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.09327 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:19:34.285727Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy29
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 868bb443-7091-4a52-915d-4503558bab90 · outbound

This paper cites An improved deep learning architecture for person re-identiﬁcation.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns An improved deep learning architecture for person re-identiﬁcation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.945446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad24b906-6df4-4202-8262-6608b9fd5919 · outbound

This paper cites Synthesizing Robust Adversarial Examples.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Synthesizing Robust Adversarial Examples

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T11:19:34.103088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fa711a5-9d29-498a-be38-00e0af87deda · outbound

This paper cites Towards evaluating the robustness of neural networks.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Towards evaluating the robustness of neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.930227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1371fc2c-0c35-469c-bdf8-c16a0763d264 · outbound

This paper cites Deep ranking for person re-identiﬁcation via joint representa- tion learning.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.915090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a627a82-6057-45d2-a007-edfa0b823200 · outbound

This paper cites A multi-task deep network for person re- identiﬁcation.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns A multi-task deep network for person re- identiﬁcation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.899135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36d17007-e218-43ef-8bff-ecd52cdfa9de · outbound

This paper cites Person re-identiﬁcation by multi-channel parts-based cnn with improved triplet loss function.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.883082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ea8435e-ef70-4745-8c04-705c5d119452 · outbound

This paper cites Deep feature learning with relative distance comparison for person re-identiﬁcation.Pattern Recognition, 48(10):2993–3003, 2015.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.868019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 13d01826-d98b-4909-b17f-da0b345f4846 · outbound

This paper cites Robust physical-world attacks on deep learning visual classiﬁcation.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Robust physical-world attacks on deep learning visual classiﬁcation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.851461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 950bf45e-3c2f-4e98-b402-d25963cea6b5 · outbound

This paper cites The re-identiﬁcation challenge.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns The re-identiﬁcation challenge

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.832488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e061aa0-b1db-45ad-a53e-236937eb83ee · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Explaining and Harnessing Adversarial Examples

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T11:19:34.144831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ababaec7-0ecf-4525-b51d-2e57b490885e · outbound

This paper cites Adversarial Perturbations Against Deep Neural Networks for Malware Classification.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Adversarial Perturbations Against Deep Neural Networks for Malware Classification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T11:19:34.150832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76d5a4f0-096e-478f-87a6-5661c0b13a13 · outbound

This paper cites Deep residual learning for image recognition.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Deep residual learning for image recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.813228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef1b9e60-9488-46cd-8003-67fb13ff9239 · outbound

This paper cites Adversarial exam- ples for generative models.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Adversarial exam- ples for generative models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.796484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4fbebdf-1833-4c70-bf0f-5b66487d88c0 · outbound

This paper cites Imagenet classiﬁcation with deep convolutional neural net- works.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Imagenet classiﬁcation with deep convolutional neural net- works

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.779480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bfa0ffbd-3462-47d8-8488-282f3b22dfe2 · outbound

This paper cites Adversarial examples in the physical world.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Adversarial examples in the physical world

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T11:19:34.172053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cc5e921-9380-4234-97f7-898639663b2d · outbound

This paper cites Feature cross-substitution in adversarial classiﬁcation.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Feature cross-substitution in adversarial classiﬁcation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.764259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db51c017-0e10-4b21-bfb2-5950c19872df · outbound

This paper cites Scalable optimization of randomized operational decisions in adversarial classiﬁca- tion settings.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.749088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ebf4a3da-f331-42c6-a143-e0505ef50c8a · outbound

This paper cites Deep- reid: Deep ﬁlter pairing neural network for person re- identiﬁcation.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.732353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba064ed8-0e75-463f-bef0-ed35d0c455c6 · outbound

This paper cites Delving into Transferable Adversarial Examples and Black-box Attacks.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Delving into Transferable Adversarial Examples and Black-box Attacks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T11:19:34.191381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8828b48-b3c3-4277-ba36-5adeed5c10cd · outbound

This paper cites Multi- camera activity correlation analysis.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Multi- camera activity correlation analysis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.716309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab63ed06-8293-406d-bbb6-01b74e2286e6 · outbound

This paper cites Understanding deep image representations by inverting them.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Understanding deep image representations by inverting them

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.700832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c9c2b32c-bfe7-440f-802e-4166646942e8 · outbound

This paper cites Deepfool: a simple and accurate method to fool deep neural networks.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.685697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 92a26411-4f5e-4805-91cd-f790e9f18fc5 · outbound

This paper cites Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples.

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

Resolution: unresolved; no resolver link, observed 2026-08-14T11:19:34.210488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acfb905a-2ef8-49fb-8292-6ab36e85c528 · outbound

This paper cites The limitations of deep learning in adversarial settings.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns The limitations of deep learning in adversarial settings

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.670519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a34fb749-7f89-487c-9c4f-a47871d8d9da · outbound

This paper cites Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.653940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 210ed392-7c4f-44c9-8818-83226c37a41a · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T11:19:34.225922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7992e4e4-cfda-4448-87cc-431fc2a7e052 · outbound

This paper cites Going deeper with convolutions.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Going deeper with convolutions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.637711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d014810-2963-4065-bf4c-3c9b57fca6e8 · outbound

This paper cites Intriguing properties of neural networks.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Intriguing properties of neural networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T11:19:34.236407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11322698-0625-4d1f-9165-214f54c7ed3a · outbound

This paper cites Joint learning of single-image and cross- image representations for person re-identiﬁcation.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.621659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee481e28-cd68-4340-997c-b5b5df5c2883 · outbound

This paper cites Intelligent multi-camera video surveil- lance: A review.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Intelligent multi-camera video surveil- lance: A review

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.604530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bffc831a-e0c3-44b8-a281-a963b63750d0 · outbound

This paper cites Learning deep feature representations with domain guided dropout for person re-identiﬁcation.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.584290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea85a32f-1177-4809-a728-74f343ccd01d · outbound

This paper cites Deep metric learning for person re-identiﬁcation.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Deep metric learning for person re-identiﬁcation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.565883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c25dd5b6-51e9-4a56-b9d4-758f12d77da8 · outbound

This paper cites Harry potter’s marauder’s map: Localizing and tracking multiple persons-of-interest by nonnegative discretization.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.545985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b6fe0bd-79d9-49de-a36f-fd436a2c1b29 · outbound

This paper cites Age progres- sion/regression by conditional adversarial autoencoder.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Age progres- sion/regression by conditional adversarial autoencoder

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.526531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 13aabb1d-5c0c-4bb4-a485-5c5c2eb77eb7 · outbound

This paper cites Im- age super-resolution by neural texture transfer.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Im- age super-resolution by neural texture transfer

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.507791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ac01f514-478d-42ab-8601-29a1d331ad1e · outbound

This paper cites Person Re-identification: Past, Present and Future.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Person Re-identification: Past, Present and Future

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T11:19:34.275737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10613c77-578c-49e8-ae44-d8ca64dddca9 · outbound

This paper cites A discrimi- natively learned cnn embedding for person reidentiﬁcation.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns A discrimi- natively learned cnn embedding for person reidentiﬁcation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.490333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ff2eaa4-ec0f-415c-b741-379ac8461042 · outbound

This paper cites Camera style adaptation for person re- identiﬁcation.

advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Camera style adaptation for person re- identiﬁcation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:19:34.471562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.