---
title: "LLT: Local Linear Transformer for PDE Operator Learning — Stuff That Spins"
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date: "2026-07-10T04:00:00+00:00"
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# LLT: Local Linear Transformer for PDE Operator Learning

**Source:** Unknown  
**Published:** July 10, 2026  
**Original:** https://arxiv.org/abs/2607.07718  

## On this page

- [Overview](#overview)

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

## Overview

arXiv:2607.07718v1 Announce Type: new Abstract: Neural operators have become a common approach for learning PDE solution maps and accelerating numerical simulations. Transformer-based neural operators are of particular interest, since attention can learn long-range dependencies in the computational domain. However, standard attention has two major limitations when applied to PDEs: it scales quadratically with the number of computational nodes, and it lacks an explicit bias toward local interacti

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