{
  "id": 18258996,
  "title": "TailSteer: Trajectory-Tail Steering for Drift-Resistant Multi-turn Image Editing",
  "url": "https://urgent.news/2026/11/04/tailsteer-trajectory-tail-steering-for-drift-resistant-multi-turn",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-04T16:23:24.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.06741v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Strong single-turn editing performance does not guarantee reliable multi-turn interaction: as edited outputs are repeatedly reused, small unintended changes can accumulate into severe visual drift. This long-term drift is often mitigated through training on multi-turn data or cross-turn rollouts, potentially altering pretrained priors, or through specialized inference-time mechanisms that are…",
  "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."
}