{
  "id": 527033,
  "title": "BDH-CQ: In-Context Learning with Recurrent Latent Reasoning",
  "url": "https://urgent.news/2026/08/10/bdh-cq-in-context-learning-with-recurrent-latent-reasoning",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-10T17:39:16.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.09888v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "We introduce BDH-CQ, a reasoning model that combines in-context learning with recurrent latent reasoning. Inputs presented at inference time continuously update the model's recurrent memory; the model then solves a query through iterative computation in a high-dimensional latent space, without verbalizing its intermediate reasoning. We evaluate the model on the public ARC-AGI-1 evaluation set and…",
  "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."
}