VISTA: A Visual Harness for Reasoning in an Interactive World

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Authors: Qiushi Han, Keya Hu, Linlu Qiu, Cathy Wu, Kaiming He
Venue: arXiv preprint — not yet peer-reviewed
Published: 2026-10-01
ID: arXiv:2610.02200

How to cite it

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APA

Han, Q., Hu, K., Qiu, L., Wu, C., & He, K. (2026). VISTA: A Visual Harness for Reasoning in an Interactive World. arXiv preprint — not yet peer-reviewed. https://arxiv.org/abs/2610.02200

MLA

Han, Qiushi, et al. "VISTA: A Visual Harness for Reasoning in an Interactive World." arXiv preprint — not yet peer-reviewed, 2026, https://arxiv.org/abs/2610.02200.

BibTeX

@article{han2026vista,
  title = {VISTA: A Visual Harness for Reasoning in an Interactive World},
  author = {Qiushi Han and Keya Hu and Linlu Qiu and Cathy Wu and Kaiming He},
  journal = {arXiv preprint — not yet peer-reviewed},
  year = {2026},
  url = {https://arxiv.org/abs/2610.02200},
}

What it is

Preprint, not yet peer-reviewed. Introduces a visual harness that lets multimodal models retain and retrieve previous observations during interactive tasks. The authors report improvements on visual games and puzzles with the same underlying model; these are research benchmark results, not independent production validation.

Topics

#multimodal #visual-reasoning #ai-agents #benchmarks

Added Nov 7, 2026 · 0 opens