Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A LLM Assisted Exploitation of AI-Guardian
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.15008.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:24:51.315421Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T23:47:27.214280Z
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 b5cdd109-1b03-4d1b-9c18-084ff0f4b01a · inbound
RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis cites this paper.
RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis A LLM Assisted Exploitation of AI-Guardian
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:47:45.692928Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdb415f0-7282-4878-8ee1-c1aec9cb798e · inbound
Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset cites this paper.
Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset A LLM Assisted Exploitation of AI-Guardian
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:24:51.315421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2f37047-a944-4991-882f-091cc4f6a634 · inbound
PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption cites this paper.
PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption A LLM Assisted Exploitation of AI-Guardian
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:47:27.215623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.