Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.08467.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:55:11.044062Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation eb74ef63-e85e-48f1-933c-62dfbc4e088f · inbound
Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation cites this paper.
Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:58:26.873482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5eca2d21-e2c4-43ef-81bb-038212c0c424 · inbound
Tailored untruths: How personalisation challenges LLM safeguards cites this paper.
Tailored untruths: How personalisation challenges LLM safeguards Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-04T09:58:44.355784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5a6c7cb6-3103-4baa-8726-7745104b8d6f · inbound
Build it, Break it, Repeat: Benchmarking and improving LLM-manipulated disinformation detection in social media posts cites this paper.
Build it, Break it, Repeat: Benchmarking and improving LLM-manipulated disinformation detection in social media posts Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:55:11.044062Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.