📄 添加 AI 新闻简报 - 2026-03-06

cache/seen_urls.json

@@ -1,5 +1,5 @@
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+  "lastUpdate": "2026-03-06T15:00:51.362Z",
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+    "http://arxiv.org/abs/2603.05449v1",
+    "http://arxiv.org/abs/2603.05448v1",
+    "http://arxiv.org/abs/2603.05438v1",
+    "http://arxiv.org/abs/2603.05437v1",
+    "http://arxiv.org/abs/2603.05432v1",
+    "http://arxiv.org/abs/2603.05425v1",
+    "http://arxiv.org/abs/2603.05421v1",
+    "http://arxiv.org/abs/2603.05418v1",
+    "http://arxiv.org/abs/2603.05414v1",
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+    "http://arxiv.org/abs/2603.05370v1",
+    "http://arxiv.org/abs/2603.05361v1",
+    "http://arxiv.org/abs/2603.05352v1",
+    "http://arxiv.org/abs/2603.05344v1",
+    "http://arxiv.org/abs/2603.05318v1",
+    "http://arxiv.org/abs/2603.05314v1",
+    "http://arxiv.org/abs/2603.05310v1",
+    "http://arxiv.org/abs/2603.05308v1",
+    "http://arxiv.org/abs/2603.05301v1",
+    "http://arxiv.org/abs/2603.04384v2",
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+    "http://arxiv.org/abs/2603.05400v1",
+    "http://arxiv.org/abs/2603.05369v1",
+    "http://arxiv.org/abs/2603.05357v1",
+    "http://arxiv.org/abs/2603.05354v1",
+    "http://arxiv.org/abs/2603.05345v1",
+    "http://arxiv.org/abs/2603.05299v1",
+    "http://arxiv.org/abs/2603.05293v1",
+    "http://arxiv.org/abs/2603.05275v1",
+    "http://arxiv.org/abs/2603.05272v1",
+    "http://arxiv.org/abs/2603.05262v1",
+    "http://arxiv.org/abs/2603.05210v1",
+    "http://arxiv.org/abs/2603.05207v1",
+    "http://arxiv.org/abs/2603.05198v1",
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+    "http://arxiv.org/abs/2603.05167v1",
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+    "http://arxiv.org/abs/2603.05495v1",
+    "http://arxiv.org/abs/2603.05480v1",
+    "http://arxiv.org/abs/2603.05468v1",
+    "http://arxiv.org/abs/2603.05440v1",
+    "http://arxiv.org/abs/2603.05433v1",
+    "http://arxiv.org/abs/2603.05423v1",
+    "http://arxiv.org/abs/2603.05396v1",
+    "http://arxiv.org/abs/2603.05395v1",
+    "http://arxiv.org/abs/2603.05375v1",
+    "http://arxiv.org/abs/2603.05371v1",
+    "http://arxiv.org/abs/2603.05353v1",
+    "http://arxiv.org/abs/2603.05343v1",
+    "http://arxiv.org/abs/2603.05340v1",
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+    "https://huggingface.co/papers/2603.04791",
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+    "https://github.com/login?return_to=%2fqwenlm%2fqwen-agent",
+    "https://github.com/login?return_to=%2fed1s0nz%2fcyberstrikeai",
+    "https://github.com/login?return_to=%2flingfengqaq%2fwebnovel-writer",
+    "https://github.com/login?return_to=%2fopenai%2fskills",
+    "https://github.com/login?return_to=%2fvirattt%2fai-hedge-fund",
+    "https://github.com/sponsors/aidenybai"
   ]
 }

daily/2026-03-06_en.md

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+# AI Daily Brief - 2026-03-06
+
+> Collected at: 3/6/2026, 11:00:51 PM
+> Total items: 101
+
+## 🔥 Top 10 Highlights
+
+1. login?return_to=%2FQwenLM%2FQwen-Agent
+   https://github.com/login?return_to=%2FQwenLM%2FQwen-Agent
+
+2. Balancing Coverage and Draft Latency in Vocabulary Trimming for Faster Speculative Decoding
+   http://arxiv.org/abs/2603.05210v1
+
+3. MASQuant: Modality-Aware Smoothing Quantization for Multimodal Large Language Models
+   https://huggingface.co/papers/2603.04800
+
+4. SageBwd: A Trainable Low-bit Attention
+   https://huggingface.co/papers/2603.02170
+
+5. MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
+   https://huggingface.co/papers/2603.03756
+
+6. V_1: Unifying Generation and Self-Verification for Parallel Reasoners
+   https://huggingface.co/papers/2603.04304
+
+7. login?return_to=%2FEd1s0nZ%2FCyberStrikeAI
+   https://github.com/login?return_to=%2FEd1s0nZ%2FCyberStrikeAI
+
+8. login?return_to=%2Fopenai%2Fskills
+   https://github.com/login?return_to=%2Fopenai%2Fskills
+
+9. sponsors/aidenybai
+   https://github.com/sponsors/aidenybai
+
+10. Dissociating Direct Access from Inference in AI Introspection
+   http://arxiv.org/abs/2603.05414v1
+
+## 📂 Categories
+
+### AI Coding Tools / Code Agent
+
+- Building AI Coding Agents for the Terminal: Scaffolding, Harness, Context Engineering, and Lessons Learned
+  http://arxiv.org/abs/2603.05344v1
+
+### AI Infrastructure / Inference Optimization
+
+- DiSCTT: Consensus-Guided Self-Curriculum for Efficient Test-Time Adaptation in Reasoning
+  http://arxiv.org/abs/2603.05357v1
+- Sparse-BitNet: 1.58-bit LLMs are Naturally Friendly to Semi-Structured Sparsity
+  http://arxiv.org/abs/2603.05168v1
+- Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels
+  http://arxiv.org/abs/2603.05495v1
+- Harnessing Synthetic Data from Generative AI for Statistical Inference
+  http://arxiv.org/abs/2603.05396v1
+- InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context
+  http://arxiv.org/abs/2603.05353v1
+- Preserving Continuous Symmetry in Discrete Spaces: Geometric-Aware Quantization for SO(3)-Equivariant GNNs
+  http://arxiv.org/abs/2603.05343v1
+- Bayes with No Shame: Admissibility Geometries of Predictive Inference
+  http://arxiv.org/abs/2603.05335v1
+
+---
+*Generated by AINewsCollector*

daily/2026-03-06_zh.md

@@ -0,0 +1,63 @@
+# AI Daily Brief - 2026-03-06
+
+> 采集时间: 2026/3/6 23:00:28
+> 总条目: 101
+
+## 🔥 Top 10 重要消息
+
+1. Qwen-Agent：基于Qwen>=3.0的智能代理框架与应用
+   https://github.com/login?return_to=%2FQwenLM%2FQwen-Agent
+
+2. 平衡覆盖与草稿延迟：词汇剪枝加速推测解码
+   http://arxiv.org/abs/2603.05210v1
+
+3. MASQuant：多模态大语言模型模态感知平滑量化
+   https://huggingface.co/papers/2603.04800
+
+4. SageBwd：可训练的低比特注意力加速模型训练
+   https://huggingface.co/papers/2603.02170
+
+5. MOOSE-Star：突破复杂壁垒，实现科学发现的可处理训练
+   https://huggingface.co/papers/2603.03756
+
+6. 统一生成与自验证：并行推理器测试时缩放新方法
+   https://huggingface.co/papers/2603.04304
+
+7. 基于Go的CyberStrikeAI：集成百款工具的智能安全测试平台
+   https://github.com/login?return_to=%2FEd1s0nZ%2FCyberStrikeAI
+
+8. 《Codex技能目录：构建智能编程助手》
+   https://github.com/login?return_to=%2Fopenai%2Fskills
+
+9. 从网站直接选择编码代理的上下文选择技术
+   https://github.com/sponsors/aidenybai
+
+10. AI内省机制解析：区分直接访问与推理
+   http://arxiv.org/abs/2603.05414v1
+
+## 📂 分类汇总
+
+### AI 编程工具 / Code Agent
+
+- 构建终端原生AI编码助手：构建框架、工具整合、上下文工程与经验总结
+  http://arxiv.org/abs/2603.05344v1
+
+### AI 基础设施 / 推理优化
+
+- DiSCTT：共识引导的自适应推理测试时高效自学习课程
+  http://arxiv.org/abs/2603.05357v1
+- 稀疏比特网：1.58比特LLMs天然适应半结构化稀疏
+  http://arxiv.org/abs/2603.05168v1
+- 低成本优化：基于廉价标签的高效折衷优化
+  http://arxiv.org/abs/2603.05495v1
+- 利用生成式AI合成数据提升统计推断
+  http://arxiv.org/abs/2603.05396v1
+- 信息流感知KV重计算：长文本问答RAG加速
+  http://arxiv.org/abs/2603.05353v1
+- SO(3)等变GNN几何感知量化：离散空间中连续对称性保护
+  http://arxiv.org/abs/2603.05343v1
+- 贝叶斯无羞愧：预测推理的可接受性几何
+  http://arxiv.org/abs/2603.05335v1
+
+---
+*Generated by AINewsCollector*