Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.21073.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T16:40:31.227672Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 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.
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.