{
  "title": "Daily Research Brief 2026-05-10",
  "url": "/en/posts/research-brief-2026-05-10/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-05-10/",
  "date": "2026-05-10",
  "lastmod": "2026-05-10",
  "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-2026-05-10/1200/675",
  "readingTime": 1,
  "wordCount": 146,
  "content": "\u003ch1 id=\"daily-research-brief-2026-05-10\"\u003eDaily Research Brief 2026-05-10\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\u003eAnthropic\u0026rsquo;s revenue jumped 80x quarter-over-quarter past $30B ARR; OpenAI shipped GPT-Realtime-2; Meta\u0026rsquo;s AI push is making employees miserable. On the paper side: SCPRM cumulative process rewards, embodied AI safety survey, and pixel-level visual attribution.\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\u003eWhen Is the Same Model Not the Same Service? A Multi-Provider Analysis\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.02819\"\u003ehttps://arxiv.org/abs/2605.02819\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eSCPRM: A Schema-Aware Cumulative Process Reward Model\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.02815\"\u003ehttps://arxiv.org/abs/2605.02815\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eFlexSQL: Flexible Exploration and Execution for Text-to-SQL\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.02814\"\u003ehttps://arxiv.org/abs/2605.02814\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eOGPO: Sample-Efficient Full-Finetuning of Generative Models\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.03065\"\u003ehttps://arxiv.org/abs/2605.03065\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eSafety in Embodied AI: A Survey of Risks, Attacks and Defenses\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.02900\"\u003ehttps://arxiv.org/abs/2605.02900\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eFINER-SQL: Boosting Small Language Models for Text-to-SQL\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.03465\"\u003ehttps://arxiv.org/abs/2605.03465\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eSIFT-VTON: Geometric Correspondence Supervision for Virtual Try-On\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.01296\"\u003ehttps://arxiv.org/abs/2605.01296\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eChain of Evidence: Pixel-Level Visual Attribution for VLMs\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2605.01284\"\u003ehttps://arxiv.org/abs/2605.01284\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-05-10 📊 Token usage: estimated from retrieval and writing scale.\nCovers the latest AI research, open source and industry moves, updated daily.\nEditor\u0026rsquo;s Note Anthropic\u0026rsquo;s revenue jumped 80x quarter-over-quarter past $30B ARR; OpenAI shipped GPT-Realtime-2; Meta\u0026rsquo;s AI push is making employees miserable. On the paper side: SCPRM cumulative process rewards, embodied AI safety survey, and pixel-level visual attribution.\n1. Latest arXiv Papers When Is the Same Model Not the Same Service? A Multi-Provider Analysis — https://arxiv.org/abs/2605.02819\n"
}