---
title: "Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale — Stuff That Spins"
description: "arXiv:2607.01538v1 Announce Type: new Abstract: Language models (LMs) raise an intriguing alternative to vector-based retrieval: conditioning on an in-context corpus and directly generating a relevant answer. However, prior work has largely focused on proprietary systems or the smaller-scale rerank…"
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date: "2026-07-03T04:00:00+00:00"
modified: "2026-07-03T04:00:51.52007+00:00"
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# Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale

**Source:** Unknown  
**Published:** July 3, 2026  
**Original:** https://arxiv.org/abs/2607.01538  

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