Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
One pixel attack for fooling deep neural networks
As of 10 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T20:29:43.143790Z
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.
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.