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CastClaw: A Human-Machine Collaborative System for Agentic Time Series Forecasting

2026-06-10

Abstract excerpt

Time series forecasting is commonly formulated as a model-centric and single-pass prediction task. However, real-world forecasting often requires task understanding, data diagnosis, contextual feature acquisition, tool-assisted modeling, reflective verification, and human feedback. In this paper, we demonstrate CastClaw, an interactive agent system for context-aware time series forecasting. CastClaw organizes fore...

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Literature Corpus work
4de535a9-ba7f-5dfa-8824-ddab1fbab64b
DOI
10.20944/preprints202606.0713.v1
Open publication

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CastClaw: A Human-Machine Collaborative System for Agentic Time Series ForecastingDOI 10.20944/preprints202606.0713.v1
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