{
  "id": 7446886,
  "title": "CodeTS: Verifiable Text-to-Time Series Generation via Executable Code",
  "url": "https://urgent.news/2026/09/14/codets-verifiable-text-to-time-series-generation-via-executable-code",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-14T11:20:49.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.15393v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Text-to-Time Series Generation (Text-to-TS) provides a promising paradigm for synthesizing time series from natural language, enabling scenario-specific generation when real observations are scarce or costly to acquire. However, existing methods typically lack an explicit mechanism for deriving generation logic from textual descriptions to guide time series synthesis. In this paper, we propose…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}