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Question's Gambit: The First Move Matters in Agentic Deep Search

arXiv · AI, language, vision and robotics · article · Sep 13, 2026 · UTC

Deep research agents answer complex questions through iterative loops of searching, reading, and reasoning. Recent work on reasoning-intensive benchmarks such as BrowseComp-Plus shows that well-configured lexical retrieval can surface high-quality evidence, yet agents may still fail to connect documents carrying evidence to the gold documents. We identify a deep research agent's first retrieval move as an important design decision for this setting. We introduce Question's Gambit, a first-move retrieval module that decomposes the question into a set of clues, reformulates them into complementar

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First collected: 2026-09-20T12:41:04.663Z. This is not the publication date.