{
  "id": 4757553,
  "title": "CineForge: Self-Improving Agents for Long-Horizon Video Generation",
  "url": "https://urgent.news/2026/08/30/cineforge-self-improving-agents-for-long-horizon-video-generation",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-30T07:29:46.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.29621v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Long-horizon story-driven video generation requires a production agent to coordinate narrative decomposition, state tracking, shot design, prompt construction, rendering, and revision across interdependent scenes. Existing adaptive video systems primarily refine requests or reusable skills, leaving recurring production failures disconnected from persistent, stage-targeted improvements across…",
  "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."
}