Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.05949.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-23T04:37:59.969975Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:42:35.106555Z
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 2e3bec0d-a350-4f5e-9f2a-988dc812e483 · inbound
Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation cites this paper.
Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:42:35.109879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f9241698-bb24-432e-886f-c99b3f6c6275 · inbound
On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses cites this paper.
On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
Reference 38
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-19T10:52:15.026391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.