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AI Signal Daily Digest
AI Signal 日报
追踪 AI 一线声音：做事的人、写代码的人、下注的人。今天重点从 GitHub 源池拉取 X / Twitter、播客和 arXiv，保留原文链接，页面只放可快速阅读的卡片摘要。
25X / Twitter 内容
8播客条目
5含全文字幕播客
30arXiv 论文
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X / Twitter
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论文
arXiv feed 可能略旧，保留论文链接From Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action...
Real-world robot deployment rarely maintains the training-stage camera setup, where cameras often experience repositioning or remounting depending on actual scenarios.
Weak-to-Strong Generalization via Direct On-Policy Distillation
Reinforcement learning with verifiable rewards (RLVR) is a powerful recipe for improving language-model reasoning, but it is expensive to repeat on every new strong model because the target model must generate many rollouts during training.
Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with...
Time-domain surveys generate many transient candidates, making Real-Bogus classification a critical step in automated discovery pipelines.
LLM-as-a-Verifier: A General-Purpose Verification Framework
Scaling pre-training, post-training, and test-time compute have become the central paradigms for improving the capabilities of LLMs.
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Vis...
Visual generators excel at rendering, but they confidently fabricate what they do not know.
What Does a Discrete Diffusion Model Learn?
What does a discrete diffusion model learn: a denoiser, a score ratio, or a bridge plug-in predictor?