{
  "id": 9081594,
  "title": "DolphinBench: Mapping the Pareto Frontier of Agent Memory",
  "url": "https://urgent.news/2026/09/21/dolphinbench-mapping-the-pareto-frontier-of-agent-memory",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-21T17:54:35.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.24971v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Agents today often take real-world actions that depend on long-term memory and context recall over time. However, most current memory benchmarks are built for a conversational question-answer format, where the question itself signals that some fact must be retrieved, and often which one. Moreover, benchmarks rarely require anything beyond accuracy from submissions, allowing memory systems to make…",
  "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."
}