# PATTS: Parallel-Aware Test-Time Scaling for Thought-Image Generation in Multimodal Discrete Diffusion LLMs

Authors: Yasong Dai, Zeeshan Hayder, David Ahmedt-Aristizabal, Hongdong Li.

Ranks and prunes parallel thought–image diffusion trajectories using their stability, uncertainty and text–image agreement. An external verifier contributes more once intermediate previews become reliable.

First public: 2026-11-03.
ArXiv initial submission: 2026-11-03.

[Original paper](https://arxiv.org/abs/2611.04948) · [PDF](https://arxiv.org/pdf/2611.04948) · [HTML](https://arxiv.org/html/2611.04948v1) · [Reading-list entry](https://latent-implicit-thinking.github.io/papers/2611.04948/)
[Preprint BibTeX](https://latent-implicit-thinking.github.io/papers/2611.04948/citation.bib) · [Preprint CSL-JSON](https://latent-implicit-thinking.github.io/papers/2611.04948/citation.csl.json) · [JSON record](https://latent-implicit-thinking.github.io/papers/2611.04948/record.json)

## Approaches

- [Alternative generation methods](https://latent-implicit-thinking.github.io/topics/alternative-reasoning-schedules/): Change how intermediate steps are generated, revised, or searched—for example, by refining several steps in parallel. Some produce written chains of thought.

Reading-list version 0.15.2; literature checked through 2026-11-03.