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Paper Citation Record · LEDGER

Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.21073.

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

pith.paper-citation-record.v1
2407.21073 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:57:24.416278Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T15:57:24.537448Z

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 18665268-0209-4be4-a39d-bbe04d63d38c · inbound

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation cites this paper.

FSPGD: Rethinking Black-box Attacks on Semantic Segmentation Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-09T15:57:24.542624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T15:57:24.416278Z digest=sha256:3204885f0f92f64df45e2f90af37d22bc459766cf76d912821c339d44aaeaec9

Observation 86ca1c4e-0812-4f9a-83dd-4a60ca6afa21 · inbound

Towards Inclusive Toxic Content Moderation: Addressing Vulnerabilities to Adversarial Attacks in Toxicity Classifiers Tackling LLM-generated Content cites this paper.

Towards Inclusive Toxic Content Moderation: Addressing Vulnerabilities to Adversarial Attacks in Toxicity Classifiers Tackling LLM-generated Content Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T16:40:31.227672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:40:31.227672Z digest=sha256:e44f187b5276486fd066d6dd3a1532dbbaa9b8846b1ecff3f4fb8c8da3530a24

Observation 390052c1-ef15-47fd-a27e-74849261bb33 · inbound

GhostPrompt: Cross-Image Adversarial Prompt for Vision-Language Models cites this paper.

GhostPrompt: Cross-Image Adversarial Prompt for Vision-Language Models Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-01T12:04:26.726440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:04:26.726440Z digest=sha256:3547dd1f12551ca06b8c33eb9f3ba35af640557e9b3be0173be236a76c4e0f90