Pith. sign in

Paper Citation Record · LEDGER

Fast Gradient Non-sign Methods

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.12734.

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

pith.paper-citation-record.v1
2110.12734 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:24:25.726429Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:46:49.461613Z

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 d07015d5-3ac9-457d-9db8-40e5cc37199c · inbound

Deep Learning Model Security: Threats and Defenses cites this paper.

Deep Learning Model Security: Threats and Defenses Fast Gradient Non-sign Methods

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T17:24:25.726429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:24:25.726429Z digest=sha256:1b8e75b0155c02b096f5793952c65a3c25e638338bd377d9c9cb380e1c6cfb35

Observation b857790f-4091-4039-8a86-d8d95d4f1d64 · inbound

Mitigating Error Amplification in Fast Adversarial Training cites this paper.

Mitigating Error Amplification in Fast Adversarial Training Fast Gradient Non-sign Methods

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:46:49.465168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T04:14:39.637818Z digest=sha256:12835a7a69cb62505fb76a4f1b3168cc0a5c7ef958975d3d4ef711b38241ec2d