Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.17254.
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 2026-07-11T23:37:54.128572Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T04:16:34.681323Z
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 e68dc958-eedf-4390-8bcc-7403b2586658 · inbound
Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs cites this paper.
Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T04:16:34.682874Z
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 dd81e280-6341-4a4c-ae03-a11596bc8e68 · inbound
Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL cites this paper.
Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T23:37:54.128572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.