# Librarian Agents preprint reports gains from preparing document workspaces

_Published Friday, October 16, 2026 at 5:11 AM EDT · AI, Science · Latest · Tier 2 — Notable_

Researchers report that Librarian Agents improved answering accuracy by 33 percentage points over the strongest retrieval and precomputation baselines on BrowseComp-Plus. The preprint describes a system that prepares documents for future questions rather than retrieving information only when a question arrives.

A builder agent organizes raw documents into a hierarchy of synthetic files and reference links. Reinforcement learning trains it to improve a separate answering agent's accuracy. The researchers also report a 31-point average accuracy improvement on BRIGHT in unseen domains without additional domain training. Upfront workspace construction costs are spread across repeated queries.

## Sources

- [cs.LG updates on arXiv.org](https://arxiv.org/abs/2610.22273)

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Canonical: https://techandbusiness.org/newswire/Li1xI93QVnH0u8NBx_TdHJ
Published: 2026-10-16T09:11:49.282Z
Story chronology: 2026-10-16T04:00:00.000Z
Retrieved: 2026-10-16T11:25:46.344Z
Publisher: Tech & Business (techandbusiness.org)