{
  "id": 19078712,
  "title": "MIRA: Mitigating Pole Geometry Bias in Recurrent Language Models",
  "url": "https://urgent.news/2026/11/06/mira-mitigating-pole-geometry-bias-in-recurrent-language-models",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-06T12:44:53.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.09412v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "We show that the Transformer's recurrent successors --- such as selective state-space models (SSMs), Receptance Weighted Key Value (RWKV), and Retentive Network (RetNet) --- can be characterized as infinite-impulse-response (IIR) systems. The zero--pole geometries of these IIR systems characterize the temporal modes they can represent. However, to trade parallelism, the algebraic structures of…",
  "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."
}