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[Submitted on 1 Oct 2025 (v1), last revised 24 Jun 2026 (this version, v3)]
Abstract:We present domain-adapted large language model agents designed to support Cherenkov Telescope Array operation and data analysis. The agents combine contextual knowledge with automated validation and iterative correction to produce more reliable outputs. This approach reduces manual effort, improves consistency, and helps accelerate operational and scientific workflows. The results demonstrate the potential of agentic systems as practical assistants in specialized research environments.
Submission history
From: Dmitriy Kostunin [view email]
[v1]
Wed, 1 Oct 2025 14:14:41 UTC (753 KB)
[v2]
Thu, 13 Nov 2025 10:31:14 UTC (290 KB)
[v3]
Wed, 24 Jun 2026 02:06:11 UTC (290 KB)
추출 본문 · 출처: arxiv.org · https://arxiv.org/abs/2510.01299
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