MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents

  • 类型:arxiv
  • 标识:2608.31022
  • 链接:http://arxiv.org/abs/2608.31022v1
  • 主分类:agent
  • 形态:benchmark
  • TLDR:AI agents in partially observable environments need to coordinate active sensing with working memory to maintain an evolving perceptual state. However, existing benchmarks struggle to isolate this perceptual-state construction and interpretation capability because they introduce physical and control complexities. We address this with MNIST-PRO, a benchmark that isolates agentic perception by converting MNIST digit recognition into a sequential, glimpse-based search task with lookback constraints. We evaluate ten multimodal models across four memory representations, including raw visual history
  • 副分类:evaluation
  • 待LLM分类:否
  • 来源文件
  • /inbox/tom/_candidates/2026-09-01-agent-rag-longcontext-candidates.json