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MindTopo: Can Foundation Models Reason in Topological Space?

Paper recorded by Signals 4 on 2026-09-10 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-10 on arXiv · recorded by Signals 4 on 2026-09-11

Category: cs.AI · 人工智能 · first seen 2026-09-11

Abstract

Spatial reasoning depends not only on metric properties such as distance, angle, and shape, but also on topological relations that remain invariant under continuous deformation. Cognitive science identifies these relations as foundational to spatial understanding, yet foundation-model evaluations largely focus on metric or viewpoint-dependent relations. We introduce MindTopo, a benchmark of topolo

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#106 most recent of 300 cs.AI papers we have recorded · ↑ newer: Artificial Id: Drive and Persistent Alignment in Agentic AI · ↓ older: Domain-Specific Hallucination Detection in Large Language Models
Cite this page: MindTopo: Can Foundation Models Reason in Topological Space?: the #106 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mindtopo-can-foundation-models-reason-in-topological-space.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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