SPIN Unprocessed October 31, 2026 ai_technology research
WebAnything: From the Wild Web to Scalable Agent Environments
View original on arxiv.orgOverview
arXiv:2610.37786v1 Announce Type: new Abstract: Web agents require diverse, executable, and resettable website environments for reproducible training and evaluation. Human-assisted mirrors demand per-site engineering, while generative construction can diverge from specified real websites. Capture-and-replay preserves observations, with interaction coverage constrained by captured content and replay capabilities. We present WebAnything, a fully automated framework that reconstructs source-grounde
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