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title: "On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization — Stuff That Spins"
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date: "2026-07-07T04:00:00+00:00"
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# On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization

**Source:** Unknown  
**Published:** July 7, 2026  
**Original:** https://arxiv.org/abs/2607.02834  

## On this page

- [Overview](#overview)

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## Overview

arXiv:2607.02834v1 Announce Type: new Abstract: Molecular optimization often starts from a pretrained generative model that captures a broad prior over valid molecular structures. At test time, however, the goal is not to sample from this prior, but to use a limited oracle budget to shift generation toward task-specific high-reward molecules. We study this adaptation problem for discrete diffusion models. Each online round couples several choices. The loop must decide which candidates to evaluat

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