{
  "title": "Daily Research Brief 2026-07-16",
  "url": "/en/posts/research-brief-2026-07-16/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-07-16/",
  "date": "2026-07-16",
  "lastmod": "2026-07-16",
  "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-2026-07-16/1200/675",
  "readingTime": 1,
  "wordCount": 206,
  "content": "\u003ch1 id=\"daily-research-brief-2026-07-16\"\u003eDaily Research Brief 2026-07-16\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\u003eToday\u0026rsquo;s clearest thread: \u0026lsquo;agents are descending from cloud capability races to the edge and toolchains\u0026rsquo;. The Cyberspace Administration granted filing approval to 7 on-device mobile LLMs in one batch while enforcing new rules on anthropomorphic interaction — effectively issuing a mass-production license for \u0026lsquo;AI phones / native agents\u0026rsquo;, and Nubia\u0026rsquo;s NaviX Ultra and ByteDance\u0026rsquo;s Doubao phone put \u0026lsquo;system-level agents\u0026rsquo; on shelves the same day — edge agents officially move from PPT to storefront. On the open-source side, the focus is concentrated on\u0026hellip;\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\u003eDeep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2607.14049\"\u003ehttps://arxiv.org/abs/2607.14049\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDo Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2607.14004\"\u003ehttps://arxiv.org/abs/2607.14004\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eA Self-Evolving Agent for Longitudinal Personal Health Management (HealthClaw)\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2607.13940\"\u003ehttps://arxiv.org/abs/2607.13940\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eExperience Memory Graph: One-Shot Error Correction for Agents (EMG)\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2607.13884\"\u003ehttps://arxiv.org/abs/2607.13884\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2607.13705\"\u003ehttps://arxiv.org/abs/2607.13705\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eVideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2607.14088\"\u003ehttps://arxiv.org/abs/2607.14088\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eM4World: A Multi-view Multimodal Driving World Model for Interactive Object Manipulation and Minute-long Streaming\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2607.14005\"\u003ehttps://arxiv.org/abs/2607.14005\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDeepStress: Stress-Testing Deep Search Agents\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2607.13920\"\u003ehttps://arxiv.org/abs/2607.13920\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-07-16 📊 Token usage: estimated from retrieval and writing scale.\nCovers the latest AI research, open source and industry moves, updated daily.\nEditor\u0026rsquo;s Note Today\u0026rsquo;s clearest thread: \u0026lsquo;agents are descending from cloud capability races to the edge and toolchains\u0026rsquo;. The Cyberspace Administration granted filing approval to 7 on-device mobile LLMs in one batch while enforcing new rules on anthropomorphic interaction — effectively issuing a mass-production license for \u0026lsquo;AI phones / native agents\u0026rsquo;, and Nubia\u0026rsquo;s NaviX Ultra and ByteDance\u0026rsquo;s Doubao phone put \u0026lsquo;system-level agents\u0026rsquo; on shelves the same day — edge agents officially move from PPT to storefront. On the open-source side, the focus is concentrated on\u0026hellip;\n"
}