Derived from arXiv:2607.17291 - DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence Environments
Scanned 9/11/2026
Install to Claude Code
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# DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence Environments
Derived from arXiv:2607.17291 - DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence Environments
## Core Concept
Deep research agents increasingly operate over the open web, where relevant records coexist with redundant summaries, outdated reports, and misleading documents. Existing evaluations offer limited insight into whether agents preserve sound evidential standards when an ordinary-looking false document is deliberately seeded into a searchable environment and offers a direct shortcut to a conflicting answer. We introduce DRNOISE, a 100-task benchmark for answer recovery under misleading evidence. Ea...
## Key Insights
- Derived from arXiv:2607.17291
- Published: 2026-07-19
- Utility Score: 1.00
- Authors: Jun Nie, Zhiqin Yang, Zhenheng Tang et al.
## Activation
drnoise-benchmarking-deep-research-agents-in-misle, 2607.17291
## References
- arXiv: https://arxiv.org/abs/2607.17291
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