Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.10819.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:42:18.654548Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T14:26:40.392387Z
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 13074700-164a-492c-b7a3-1083207c0a9e · inbound
PRL: Prompts from Reinforcement Learning cites this paper.
PRL: Prompts from Reinforcement Learning Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T14:26:40.395950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e7f873ee-8494-436c-ba90-50e22b2a5a8f · inbound
When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs cites this paper.
When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:42:18.654548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d1825cf-9627-4107-8be2-573a7587f32a · inbound
Reasoning Up the Instruction Ladder for Controllable Language Models cites this paper.
Reasoning Up the Instruction Ladder for Controllable Language Models Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:07:53.640759Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.