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Quantifying Claim Smoothing by LLM Research Agents
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
An arXiv paper identifies claim smoothing in LLM research agents, where diverse or conflicting sources are collapsed into overconfident summaries.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 27 October 2026
- Collected by OneBench
- 28 Oct 2026, 02:01 UK
- Original headline
- Quantifying Claim Smoothing by LLM Research Agents ↗
Stored source excerpt
arXiv:2610.35793v1 Announce Type: new Abstract: Deep research, or any use of large language models (LLMs) to read a large document collection and produce insights, requires…
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