Paper Citation Record · LEDGER

One pixel attack for fooling deep neural networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1710.08864.

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

pith.paper-citation-record.v1
1710.08864 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:11:10.254863Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T15:35:58.936154Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa80d621-16dd-486f-a60a-65b00476ae76 · inbound

Risks from Learned Optimization in Advanced Machine Learning Systems cites this paper.

Risks from Learned Optimization in Advanced Machine Learning Systems One pixel attack for fooling deep neural networks

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T12:21:53.120569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1dcb1644-4a19-4109-8a46-cef114be6632 · inbound

Adversarial FDI Attack against AC State Estimation with ANN cites this paper.

Adversarial FDI Attack against AC State Estimation with ANN One pixel attack for fooling deep neural networks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-25T15:35:58.940138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ed6e61e7-0b8c-4a98-8041-0a4028647375 · inbound

Measuring the Transferability of Adversarial Examples cites this paper.

Measuring the Transferability of Adversarial Examples One pixel attack for fooling deep neural networks

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T21:29:57.933911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 85e47f5a-f06f-4fca-b474-8df13e88bc73 · inbound

Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges cites this paper.

Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges One pixel attack for fooling deep neural networks

Reference 181

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T18:24:48.154343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c68b02cb-6335-4519-b6aa-38da5f5ee439 · inbound

Open DNN Box by Power Side-Channel Attack cites this paper.

Open DNN Box by Power Side-Channel Attack One pixel attack for fooling deep neural networks

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T18:44:49.273911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e8bd658-5f21-4972-b016-a2bcea420983 · inbound

A principled approach for generating adversarial images under non-smooth dissimilarity metrics cites this paper.

A principled approach for generating adversarial images under non-smooth dissimilarity metrics One pixel attack for fooling deep neural networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T15:11:10.254863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9ac9211-018d-498a-9a7c-e47d620c75e7 · inbound

AdvHat: Real-world adversarial attack on ArcFace Face ID system cites this paper.

AdvHat: Real-world adversarial attack on ArcFace Face ID system One pixel attack for fooling deep neural networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T11:35:51.099456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40cc071b-4d1d-4994-a80c-27daeb740ea8 · inbound

Adversarial Edit Attacks for Tree Data cites this paper.

Adversarial Edit Attacks for Tree Data One pixel attack for fooling deep neural networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T11:21:40.125342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc1eec0f-74bc-490c-9374-eb1dff1a259a · inbound

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach cites this paper.

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach One pixel attack for fooling deep neural networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:46:12.306609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97867edc-21c4-4b30-8291-87b78b19eb11 · inbound

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations cites this paper.

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations One pixel attack for fooling deep neural networks

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T20:29:43.143790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.