---
id: 20261010-T0-20
title: "Verification and Self-Improvement in Agentic AI: Foundations and Limits"
url: https://ai.daily.yangsir.net/daily/20261010-T0-20
issue_date: 2026-10-10
publish_date: 2026-10-09T04:00:00.000Z
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2610.10611
---

# Verification and Self-Improvement in Agentic AI: Foundations and Limits

arXiv:2610.10611v1 Announce Type: new Abstract: Agentic AI systems can improve by searching longer, receiving additional support, or modifying how they propose and verify outputs. A performance score does not distinguish these mechanisms. We compare these changes through bounded verification with hi

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2610.10611)

**详情页**：https://ai.daily.yangsir.net/daily/20261010-T0-20

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