{
  "id": 6095331,
  "title": "Technical Manual for a Toolkit for Measuring Contextual Individuation in Transformer Language Models",
  "url": "https://urgent.news/2026/09/04/technical-manual-for-a-toolkit-for-measuring-contextual-individuation",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-04T16:38:39.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.05333v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "A transformer language model assigns a single, context-independent vector to a word type at its embedding layer, yet is widely believed to individuate that word's occurrences by context in its later layers. Testing this belief cleanly requires a construct that holds the word form fixed while its context and intended sense vary in a controlled, labeled way. This manual documents an open toolkit…",
  "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."
}