PatchScout: Thematic Web Data Collection via Information Foraging

arXiv cs.AINovember 3, 2026en

arXiv:2611.00169v1 Announce Type: new Abstract: Researchers often need web corpora that are not answers to a single query, but reusable collections of documents spanning many decentralized sources. We refer to this problem as thematic web data collection: assembling semantically relevant documents that share a common theme but are scattered across heterogeneous and structurally disconnected regions of the web. Existing approaches, including traversal-based methods and LLM-driven web agents, are limited by local exploration or short-horizon stopping, preventing comprehensive collection. We formulate this task as a long-horizon information foraging problem over query-induced semantic patches,

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