{
  "id": 4570286,
  "title": "AcrossVAM1.0: Particle World Modeling for Text-Assisted Robot Video Prediction",
  "url": "https://urgent.news/2026/08/28/acrossvam1-0-particle-world-modeling-for-text-assisted-robot-video",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-28T16:19:24.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.28491v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Predicting robot videos requires both precise motion reasoning and preservation of high-frequency appearance, yet monolithic pixel models entangle these objectives and often conceal their progress behind a strong last-frame baseline. We present AcrossVAM1.0, a lightweight, text-assisted video action model that factorizes future prediction into object-centric motion and dense appearance. A frozen…",
  "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."
}