Paper Citation Record · LEDGER

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once

As of 18 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1908.05185.

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

pith.paper-citation-record.v1
1908.05185 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:25:39.045656Z

measured 37 of 37 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

37 of 37 outbound references displayed

verified exact1
verified fuzzy10
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e84d196-48dd-4715-9ca2-f2e8f3bf14a0 · outbound

This paper cites Adversarial Transformation Networks: Learning to Generate Adversarial Examples.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Adversarial Transformation Networks: Learning to Generate Adversarial Examples

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.925376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b92481d-c564-4f48-b0f0-01abaa57e5b4 · outbound

This paper cites Towards evaluating the robustness of neural networks.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Towards evaluating the robustness of neural networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.929720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 783e60e0-64c4-44a0-b3cd-ecbd9e0e620d · outbound

This paper cites Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.933230Z

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Unavailable: canonical work link unavailable.

Observation e1c44a48-7f7c-469f-9b90-a1c13e845f26 · outbound

This paper cites Imagenet: A large-scale hierarchical im- age database.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Imagenet: A large-scale hierarchical im- age database

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.937128Z

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Unavailable: canonical work link unavailable.

Observation d483d60c-c906-4659-8c59-8faa5a604dbb · outbound

This paper cites Boosting Adversarial Attacks with Momentum.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Boosting Adversarial Attacks with Momentum

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.945227Z

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Observation 75776313-a353-4757-8fdf-f7ecada9e501 · outbound

This paper cites Practical methods of optimization.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Practical methods of optimization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:25:39.371280Z

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 7901f2bd-ca2f-4b16-8cfd-c6cb037d3f6d · outbound

This paper cites Convolutional Sequence to Sequence Learning.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Convolutional Sequence to Sequence Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.952585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 490d4bb3-53f2-42f1-ac99-914e2d95da2d · outbound

This paper cites Fast r-cnn.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Fast r-cnn

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.955958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe96f7bd-af7e-41a4-8e39-64c02dcce0e0 · outbound

This paper cites Explaining and harnessing adversarial examples.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Explaining and harnessing adversarial examples

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:25:39.355510Z

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 2d54c6f2-ec43-414e-a0af-ea6035e89edc · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Explaining and Harnessing Adversarial Examples

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.962004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb76b47b-8c60-4fdf-9f7c-211232b06d07 · outbound

This paper cites Towards Deep Neural Network Architectures Robust to Adversarial Examples.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Towards Deep Neural Network Architectures Robust to Adversarial Examples

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.965466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2632847-23bd-4e16-8209-01bc7f51b67b · outbound

This paper cites Deep residual learning for image recognition.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Deep residual learning for image recognition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.969116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c996e140-7957-4c03-a95c-e12175c607db · outbound

This paper cites Squeeze-and-Excitation Networks.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Squeeze-and-Excitation Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.972238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec894a65-7502-4bc8-8780-ce25890a9207 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Adam: A Method for Stochastic Optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.976440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6199f2e-f2af-40b2-9012-ab155592e269 · outbound

This paper cites Learning multiple layers of features from tiny images.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Learning multiple layers of features from tiny images

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.979578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c44eb26e-1be8-405c-a221-381d05cee0db · outbound

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

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Imagenet classiﬁcation with deep convolutional neural net- works

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.982618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 750604e3-84d7-45e5-b2f2-b2984d6fad7b · outbound

This paper cites Adversarial examples in the physical world.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Adversarial examples in the physical world

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.985552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bd86c43-39bc-411b-b886-5d031322056d · outbound

This paper cites Adversarial Machine Learning at Scale.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Adversarial Machine Learning at Scale

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.988871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 623011f2-8b7c-4e03-a0a5-82d66dd604b4 · outbound

This paper cites Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.992249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f97b6a6-6841-4f7e-8547-ba636dcd9439 · outbound

This paper cites Feature pyramid networks for object detection.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Feature pyramid networks for object detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:25:39.327301Z

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 91a7bfd9-7e42-4a02-baa0-57f49fa5fcd4 · outbound

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

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Deepfool: a simple and accurate method to fool deep neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:25:39.317001Z

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 e9bd7efc-e219-4d71-8453-2982821b3675 · outbound

This paper cites Rectiﬁed linear units im- prove restricted boltzmann machines.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Rectiﬁed linear units im- prove restricted boltzmann machines

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:39.001787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdf27ead-270d-46d8-9d6e-df3058bd0397 · outbound

This paper cites Deep neural networks are easily fooled: High conﬁdence predictions for unrecognizable images.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Deep neural networks are easily fooled: High conﬁdence predictions for unrecognizable images

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:25:39.300408Z

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 f27a79b5-b208-4f2b-81d0-7a6518156e48 · outbound

This paper cites Osadchy, J.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Osadchy, J

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:25:39.290295Z

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 ae2c000e-3f91-48db-9b3d-db36e82f8d9e · outbound

This paper cites Practical Black-Box Attacks against Machine Learning.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Practical Black-Box Attacks against Machine Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:39.010983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81120976-eaeb-4910-9456-dbcca2e50fa8 · outbound

This paper cites Practi- cal black-box attacks against machine learning.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Practi- cal black-box attacks against machine learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:25:39.280217Z

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 129234a1-422c-4177-beb3-a054a1e07010 · outbound

This paper cites Towards the Science of Security and Privacy in Machine Learning.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Towards the Science of Security and Privacy in Machine Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:39.017478Z

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Observation 52ca9f99-e6ca-4f68-8cd6-e1bf1caca962 · outbound

This paper cites Generative Adversarial Perturbations.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Generative Adversarial Perturbations

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:25:39.114839Z

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 a528de64-1f1c-421f-aba3-56965004b60b · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:39.023949Z

Source-reported events for the cited work

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Observation 8902c7f5-1964-47c0-9c57-a11cdbb8f2e1 · outbound

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

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:39.026992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 500bbe2a-4117-417d-aa8f-6adf65451da9 · outbound

This paper cites One pixel attack for fooling deep neural networks.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once One pixel attack for fooling deep neural networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:25:39.263326Z

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 5b6c9da9-305f-42d8-8a11-3fc20d7256b1 · outbound

This paper cites Intriguing properties of neural networks.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Intriguing properties of neural networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:39.033114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5b3802c-e804-4aed-8ea3-2d4a4f876e2d · outbound

This paper cites Deepface: Closing the gap to human-level perfor- mance in face veriﬁcation.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Deepface: Closing the gap to human-level perfor- mance in face veriﬁcation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:25:39.252897Z

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 543d0616-8b30-43c8-8e0b-2135525e724c · outbound

This paper cites Ensemble Adversarial Training: Attacks and Defenses.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Ensemble Adversarial Training: Attacks and Defenses

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:39.039453Z

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Observation a215c8e7-7465-40aa-b0ab-8e0bb2155056 · outbound

This paper cites Attention is all you need.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Attention is all you need

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:25:39.242103Z

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 41aeddab-aa41-4f71-9dd7-a20b898a2b35 · outbound

This paper cites Generating Adversarial Examples with Adversarial Networks.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Generating Adversarial Examples with Adversarial Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:39.045656Z

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Observation fc3c3e52-0423-403d-90f5-0026e3fffcd8 · outbound

This paper cites IEEE Conference on , pages 248–255.

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once IEEE Conference on , pages 248–255

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-14T13:25:38.940850Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.