{
  "id": 15538078,
  "title": "Annotrace: A Workbench for Step-Level Annotation of Agent Traces",
  "url": "https://urgent.news/2026/10/16/annotrace-a-workbench-for-step-level-annotation-of-agent-traces",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-16T10:55:26.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.23284v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Every study of why LLM agents fail begins by labelling traces by hand, and every such study builds its own throwaway tool. Observability platforms record agent traces but offer no structured labelling; annotation tools label text but have no notion of a step, a delegation or a tool call, leaving it unclear what the smallest unit of execution to label should be. Annotrace reads six trace formats,…",
  "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."
}