---
title: "Steering Instruction Hierarchies at Inference Time — Stuff That Spins"
description: "arXiv:2607.26228v1 Announce Type: new Abstract: Instruction hierarchies are a core safety assumption of language model deployment: higher priority inputs, such…"
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keywords: ["narrative intelligence", "SpinGraph", "AI recall"]
date: "2026-07-30T04:00:00+00:00"
modified: "2026-07-30T12:04:00.478076+00:00"
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# Steering Instruction Hierarchies at Inference Time

**Source:** Unknown  
**Published:** July 30, 2026  
**Original:** https://arxiv.org/abs/2607.26228  

## On this page

- [Overview](#overview)

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

## Overview

arXiv:2607.26228v1 Announce Type: new Abstract: Instruction hierarchies are a core safety assumption of language model deployment: higher priority inputs, such as system prompts, should override conflicting lower priority inputs from users or tools. Yet frontier LLMs often violate this hierarchy. We introduce V-Steer, a training-free inference time method that restores privileged influence by editing cached value vectors at prompt positions. Using direct logit attribution on the first next token

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