{
  "id": 15702433,
  "title": "Kronecker Delta Rule for Long Context Linear Attention",
  "url": "https://urgent.news/2026/10/19/kronecker-delta-rule-for-long-context-linear-attention",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-19T17:56:52.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.26834v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "We propose KronLSTM, a linear attention architecture based on the Kronecker Delta Rule, a novel update rule for associative matrix memories. KronLSTM extends the xLSTM family with a memory-revision mechanism that corrects targeted associations while modifying the memory only along a single direction in matrix space. This minimally invasive memory revision reduces interference with previously…",
  "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."
}