RESEARCHMonitorWATCHLIST
Counterfactual Evidence Audits Predict LLM-Agent Susceptibility to Ranked Context
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose counterfactual evidence audits to test LLM agent susceptibility to systematically one-sided retrieved contexts.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 5 October 2026
- Collected by OneBench
- 6 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2606.00914v2 Announce Type: replace-cross Abstract: LLM agents increasingly decide from evidence assembled by upstream systems: retrievers choose documents, recommenders choose posts, and memory systems choose…
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