{
  "id": 4757556,
  "title": "LLMs Interpret, Embeddings Organize, Graphs Emerge: Agent-Driven Compilation of Scientific Knowledge",
  "url": "https://urgent.news/2026/08/30/llms-interpret-embeddings-organize-graphs-emerge-agent-driven",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-30T07:05:49.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.29612v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Sustained scientific work requires a knowledge substrate that carries interpretation across tasks and preserves paths to source evidence. We call this process \\emph{scientific knowledge compilation} and implement it in ASKS, the \\emph{Agent-Driven Scientific Knowledge System}. For each source, an LLM produces a readable Wiki view and machine-facing semantics. Deterministic checks convert 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."
}