{
  "title": "Daily Research Brief 2026-06-11",
  "url": "/en/posts/research-brief-2026-06-11/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-06-11/",
  "date": "2026-06-11",
  "lastmod": "2026-06-11",
  "author": "",
  "description": "Daily research brief — AI / LLM / Agent / Computer Vision / Audio-Video / Engineering",
  "categories": ["Research Brief"],
  "tags": ["AI","LLM","Agent","Computer Vision","Audio-Video","Engineering","Daily Brief"],
  "cover": "https://picsum.photos/seed/daily-research-brief-2026-06-11/1200/675",
  "readingTime": 1,
  "wordCount": 158,
  "content": "\u003ch1 id=\"daily-research-brief-2026-06-11\"\u003eDaily Research Brief 2026-06-11\u003c/h1\u003e\n\u003cp\u003e📊 Token usage: estimated from retrieval and writing scale.\u003c/p\u003e\n\u003cp\u003eCovers the latest AI research, open source and industry moves, updated daily.\u003c/p\u003e\n\u003chr\u003e\n\u003ch2 id=\"editors-note\"\u003eEditor\u0026rsquo;s Note\u003c/h2\u003e\n\u003cp\u003eThe paper thread today: recursive theory-of-mind reasoning, automated prompt injection assessment in agentic environments, a federated learning data-centric review, secure LLM agent threat surfaces, and NEWTON for physically grounded video generation.\u003c/p\u003e\n\u003ch2 id=\"1-latest-arxiv-papers\"\u003e1. Latest arXiv Papers\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMind the Perspective: Let\u0026rsquo;s Reason Recursively for Theory of Mind\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.11724\"\u003ehttps://arxiv.org/abs/2606.11724\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAssessing Automated Prompt Injection Attacks in Agentic Environments\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.10525\"\u003ehttps://arxiv.org/abs/2606.10525\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEarth-OneVision: Extending Remote Sensing Multimodal LLMs to More Sensor Modalities and Tasks\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.10819\"\u003ehttps://arxiv.org/abs/2606.10819\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eFrom Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.10595\"\u003ehttps://arxiv.org/abs/2606.10595\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eToward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2606.10749\"\u003ehttps://arxiv.org/abs/2606.10749\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eWhy Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eFrom Context to Skills: Can Language Models Learn from Context Skillfully?\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.27660\"\u003ehttps://arxiv.org/abs/2604.27660\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eNEWTON: Agentic Planning for Physically Grounded Video Generation\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.18396\"\u003ehttps://arxiv.org/abs/2605.18396\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-06-11 📊 Token usage: estimated from retrieval and writing scale.\nCovers the latest AI research, open source and industry moves, updated daily.\nEditor\u0026rsquo;s Note The paper thread today: recursive theory-of-mind reasoning, automated prompt injection assessment in agentic environments, a federated learning data-centric review, secure LLM agent threat surfaces, and NEWTON for physically grounded video generation.\n1. Latest arXiv Papers Mind the Perspective: Let\u0026rsquo;s Reason Recursively for Theory of Mind — https://arxiv.org/abs/2606.11724\n"
}