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News/TIMERSI: Towards Self-Improved Agentic Deployment for Time-Series Foundation Models
arxiv
PublishedOctober 15, 2026 at 4:00 AM

TIMERSI: Towards Self-Improved Agentic Deployment for Time-Series Foundation Models

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Publisher summary· verbatim

arXiv:2610.19725v1 Announce Type: new Abstract: Time-series foundation models provide strong zero-shot forecast, but deployment for real- world applications still requires task-specific designs for model inputs and outputs. Direct inference can leave domain knowledge and re- curring forecast errors

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