{
  "id": 6369506,
  "title": "OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super Resolution",
  "url": "https://urgent.news/2026/09/06/oraclezoom-on-policy-self-distillation-inspired-reference-constrained",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-06T09:06:27.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.06490v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Recursive Super-Resolution (SR) extends fixed-scale SR to extreme magnification by repeatedly feeding predictions back into the same model, analogous to zooming an image repeatedly. However, ground truth availability at every scale, especially at depth, remains challenging as the required source resolution grows geometrically, leaving deeper predictions unsupervised. We present OracleZoom, an…",
  "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."
}