M$^3$-ACE: Rectifying Visual Perception in Multimodal Math Reasoning via Multi-Agentic Context Engineering

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[1]
How Vision Becomes Language: A Layer-wise Information-Theoretic Analysis of Multimodal Reasoning
2026Hongxuan Wu, Yukun Zhang et al.
[2]
Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning Benchmarks
2025Xinhe Wang, Jin Huang et al.
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Learning When to Look: A Disentangled Curriculum for Strategic Perception in Multimodal Reasoning
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2025Wenxin Zhu, Andong Chen et al.
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2025Jiwan Chung, Neel Joshi et al.
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2025Peng Liu, Haozhan Shen et al.
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Founder's Pitch

"M3-ACE is a multi-agent system that improves visual math reasoning by rectifying visual perception, achieving state-of-the-art results and offering a clear path to commercial applications."

Multimodal ReasoningScore: 8View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

4/4 signals

10

Series A Potential

3/4 signals

7.5

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