What happened?
AREX audits a provisional answer constraint by constraint, then launches targeted follow-up research for claims that remain unresolved.
The architecture exploits the idea that verifying a candidate can be easier than discovering it. Independent evaluation is still needed on changing web content, conflicting sources, and restricted access beyond synthetic training and benchmarks.
Why does it matter?
Instead of simply searching longer, the approach repeatedly verifies individual claims to improve the accuracy and efficiency of long-horizon research agents.
Who should care?
AI researchersSearch developersKnowledge workers
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This is a July 23, 2026 preprint; benchmark results are reported by the authors.