---
title: "Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG — Stuff That Spins"
description: "arXiv:2607.02966v1 Announce Type: new Abstract: Cross-lingual retrieval-augmented generation (RAG) is often deployed in an English-evidence regime, where users…"
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keywords: ["narrative intelligence", "SpinGraph", "AI recall"]
date: "2026-07-07T04:00:00+00:00"
modified: "2026-07-07T06:04:39.285634+00:00"
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# Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG

**Source:** Unknown  
**Published:** July 7, 2026  
**Original:** https://arxiv.org/abs/2607.02966  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

arXiv:2607.02966v1 Announce Type: new Abstract: Cross-lingual retrieval-augmented generation (RAG) is often deployed in an English-evidence regime, where users query in diverse languages but retrieved passages remain English. In this setting, generation can fail despite strong base models: English evidence induces language drift (English or code-switching outputs) and models use evidence unreliably when producing non-English answers. We attribute these failures to two post-training challenges: (

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