VISTA: A Visual Harness for Reasoning in an Interactive World

arXiv:2610.02200 · cs.AI, cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.AI, cs.CV

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/joshhhhhan/VISTA

Project page: https://schema-harness.github.io

Terminology

• Benchmark — 31× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• World Model — 6× in this paper · explained in 7 episodes
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Adaptation — 4× in this paper · explained in 1 episode
• Relative Human Action Efficiency — 4× in this paper
• Abstraction — 3× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 2 episodes
• Few-Shot Learning — 2× in this paper · explained in 4 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Agent Harness — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes

Sources

• ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence
• On the Measure of Intelligence
• ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems
• ARC Prize 2025: Technical Report
• Screenshots or Tools? Eliciting Tool Use and Managing Multimodal Context in Hybrid GUI-MCP Computer-Use Agents
• GLM-5: from Vibe Coding to Agentic Engineering
• Less is More: Recursive Reasoning with Tiny Networks
• H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark
• Tycho: Active Abstraction with Programmatic World Models for ARC-AGI-3
• What Memory Do GUI Agents Really Need? From Passive Records to Active Task-Driving States
• Qwen-CUA: Native Computer Use for (almost) Everything
• WebGPT: Browser-assisted question-answering with human feedback
• MemGPT: Towards LLMs as Operating Systems
• UI-TARS: Pioneering Automated GUI Interaction with Native Agents
• Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3?
• Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
• Scaling Instructable Agents Across Many Simulated Worlds
• SIMA 2: A Generalist Embodied Agent for Virtual Worlds
• Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers
• Hierarchical Reasoning Model

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