{
  "id": 6088841,
  "title": "Trace2Tower: Transition-Aware EigenTrace Induction of Multi-Level Skills for LLM Agents",
  "url": "https://urgent.news/2026/09/04/trace2tower-transition-aware-eigentrace-induction-of-multi-level",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-04T15:22:39.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.05261v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large language model agents increasingly rely on execution traces to master complex interactive tasks. However, current paradigms are bottlenecked by shallow trajectory retrieval and flat skill summarization, fundamentally ignoring the temporal dependencies and outcome-conditioned topology of agent behavior. We introduce Trace2Tower, a transition-aware EigenTrace framework that distills raw…",
  "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."
}