{
  "title": "Daily Research Brief 2026-04-09",
  "url": "/en/posts/research-brief-2026-04-09/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-04-09/",
  "date": "2026-04-09",
  "lastmod": "2026-04-09",
  "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-2026-04-09/1200/675",
  "readingTime": 1,
  "wordCount": 106,
  "content": "\u003ch1 id=\"daily-research-brief-2026-04-09\"\u003eDaily Research Brief 2026-04-09\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: elastic test-time training for spatial memory, motion control (MoRight), token capacity for deep compression, personalized reward models, and measuring generative-AI power profiles.\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\u003eFast Spatial Memory with Elastic Test-Time Training\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMoRight: Motion Control Done Right\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTC-AE: Unlocking Token Capacity for Deep Compression\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003ePersonalized RewardBench: Evaluating Reward Models for Individual Users\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMeasurement of Generative AI Workload Power Profiles\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAppear2Meaning: A Cross-Cultural Benchmark for Visual Semantics\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eToward a Tractability Frontier for Exact Relevance Ranking\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-04-09 📊 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: elastic test-time training for spatial memory, motion control (MoRight), token capacity for deep compression, personalized reward models, and measuring generative-AI power profiles.\n1. Latest arXiv Papers Fast Spatial Memory with Elastic Test-Time Training\nMoRight: Motion Control Done Right\nTC-AE: Unlocking Token Capacity for Deep Compression\n"
}