{
  "id": 625089,
  "title": "Attention-Path Fragility as an Uncertainty Signal in Large Language Models",
  "url": "https://urgent.news/2026/08/11/attention-path-fragility-as-an-uncertainty-signal-in-large-language",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-11T16:59:02.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.11138v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "We propose that a model's uncertainty about a token is reflected not only in the breadth of its output distribution but also in whether a confident prediction is \\emph{fragile} under perturbation of its attention pathways. We instantiate this as ASMI (Attention-Subnetwork Mutual Information), a training-free estimator that masks attention heads and measures the BALD mutual information among the…",
  "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."
}