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Paper Citation Record · LEDGER

One pixel attack for fooling deep neural networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:29:43.143790Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T12:21:53.058760Z digest=sha256:d54991359ebdd246ca5db94027b79295ef1d6d2f3782adf785a42764b15b50a4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T15:33:10.899090Z digest=sha256:17dc7b2d6ece350316d3d25f3c6917ff4681436bea5e891810b3f79bed2091d1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T21:26:53.670675Z digest=sha256:d904513013e8fa688784e1fdc84b6ee5a5d8a9216744cd6ab73a670eb03376ba

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T18:22:23.272044Z digest=sha256:e68bcfb12f77b25b5636549baec69e19b3e5af0342c42d90e2bc79e14c04c352

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T18:44:12.031882Z digest=sha256:02613b0fdb4cc0d626012a81f86e22e6174e8f50487ba81374642f7e38d250cd

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.

source=pdf_text observed=2026-08-05T20:29:43.143790Z digest=sha256:4f009420e6ceaea93ba7ca90862ebe3cde693da15649b661f8d657f2dd1a8296