Notes笔记
Standalone notes that reorganize papers, technical reports, and implementations around the questions I want to remember.
把论文、技术报告和实现细节按我想记住的问题重新整理。每个主题单独成页。
TabPFN
From prior-data fitting to TabICL and TabPFN-3: worked examples of context-based prediction, row representations, and label retrieval, followed by three testable research proposals.
从 PFN 到 TabICL 与 TabPFN-3：手算上下文预测，图解行列注意力与标签检索，再讨论校准、压缩和关系数据上的三个研究问题。
Loop LLM
From adaptive computation and Universal Transformers to Huginn, Ouro, and LoopFormer: shared depth, latent-state updates, training, halting, and the real cost of recurrent caches.
从 ACT、Universal Transformer 到 Huginn、Ouro 与 LoopFormer：解释共享深度、隐藏状态迭代、训练与退出，并拆解循环缓存的真实代价。
Qwen3.8-Flash-Next
For readers familiar with Transformer and LLaMA: compare architectural changes across seven modules, with worked examples, diagrams, and supporting implementation details.
面向熟悉 Transformer 与 LLaMA 的读者，对照七个模块的具体改动，用逐步算例与图解解释新增机制、发展脉络和实现代价。
