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Paper Citation Record · LEDGER

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1709.04114.

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

pith.paper-citation-record.v1
1709.04114 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:29:34.912657Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T12:29:35.094276Z

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 135e4f66-8b8e-4c26-aba5-3209dccb82a9 · inbound

Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses cites this paper.

Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:29:35.100559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:29:34.912657Z digest=sha256:d8396acf8c64e09ea3a272778db0b3709fb217467e5e4847701171c06abc090b

Observation 97eae589-def3-428d-b127-2130ad0b0696 · inbound

Binary Iterative Method for Non-targeted Adversarial Attack cites this paper.

Binary Iterative Method for Non-targeted Adversarial Attack EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-11T21:22:58.008164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T21:22:58.008164Z digest=sha256:af7979c702803e26ea50cbe55e116c4de445134f9432ca95e7d9d1976da6a89a