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

Paper recorded by Signals 4 on 2026-08-31 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-31 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.AI · 人工智能 · first seen 2026-09-01

Abstract

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 conve

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#255 most recent of 300 cs.AI papers we have recorded · ↑ newer: Measure Before You Manage: Evaluating Agent Working Memory in Coding A · ↓ older: One note in three: a verified census of three deployed AI scribes, and

Cite this page: MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents: the #255 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mnist-pro-mnist-is-back-as-a-partially-observable-world-for-ai-agents.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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