diff --git a/cache/seen_urls.json b/cache/seen_urls.json index 2db1eb7..45e560f 100644 --- a/cache/seen_urls.json +++ b/cache/seen_urls.json @@ -1,5 +1,5 @@ { - "lastUpdate": "2026-02-28T15:00:39.694Z", + "lastUpdate": "2026-03-03T15:00:57.517Z", "urls": [ "http://arxiv.org/abs/2602.23360v1", "http://arxiv.org/abs/2602.23359v1", @@ -143,6 +143,136 @@ "https://github.com/login?return_to=%2fpaddlepaddle%2fpaddle", "https://github.com/login?return_to=%2fdatagouv%2fdatagouv-mcp", "https://github.com/login?return_to=%2fwei-shaw%2fsub2api", - "https://github.com/login?return_to=%2fx-plug%2fmobileagent" + "https://github.com/login?return_to=%2fx-plug%2fmobileagent", + "https://github.com/login?return_to=%2fmicrosoft%2fmarkitdown", + "https://github.com/login?return_to=%2fk-dense-ai%2fclaude-scientific-skills", + "https://github.com/login?return_to=%2fbasecamp%2fomarchy", + "https://github.com/login?return_to=%2fnevamind-ai%2fmemu", + "https://huggingface.co/papers/2602.21877", + "https://huggingface.co/papers/2602.23047", + "https://huggingface.co/papers/2602.24264", + "https://huggingface.co/papers/2602.23881", + "https://huggingface.co/papers/2602.20913", + "https://huggingface.co/papers/2602.24012", + "https://huggingface.co/papers/2602.22207", + "https://huggingface.co/papers/2602.24289", + "https://huggingface.co/papers/2602.23452", + "https://huggingface.co/papers/2602.22661", + "https://huggingface.co/papers/2602.23898", + "https://huggingface.co/papers/2602.24281", + "https://huggingface.co/papers/2602.24286", + "https://huggingface.co/papers/2602.24233", + "https://huggingface.co/papers/2602.23622", + "https://huggingface.co/papers/2602.23996", + "https://huggingface.co/papers/2602.24208", + "https://huggingface.co/papers/2602.22647", + "https://github.com/login?return_to=%2fanthropics%2fprompt-eng-interactive-tutorial", + "https://github.com/sponsors/servo", + "http://arxiv.org/abs/2603.02203v1", + "http://arxiv.org/abs/2603.02200v1", + "http://arxiv.org/abs/2603.02196v1", + "http://arxiv.org/abs/2603.02193v1", + "http://arxiv.org/abs/2603.02190v1", + "http://arxiv.org/abs/2603.02184v1", + "http://arxiv.org/abs/2603.02181v1", + "http://arxiv.org/abs/2603.02178v1", + "http://arxiv.org/abs/2603.02175v1", + "http://arxiv.org/abs/2603.02170v1", + "http://arxiv.org/abs/2603.02156v1", + "http://arxiv.org/abs/2603.02155v1", + "http://arxiv.org/abs/2603.02154v1", + "http://arxiv.org/abs/2603.02153v1", + "http://arxiv.org/abs/2603.02150v1", + "http://arxiv.org/abs/2603.02129v1", + "http://arxiv.org/abs/2603.02128v1", + "http://arxiv.org/abs/2603.02123v1", + "http://arxiv.org/abs/2603.02119v1", + "http://arxiv.org/abs/2603.02115v1", + "http://arxiv.org/abs/2603.02096v1", + "http://arxiv.org/abs/2603.02095v1", + "http://arxiv.org/abs/2603.02091v1", + "http://arxiv.org/abs/2603.02087v1", + "http://arxiv.org/abs/2603.02081v1", + "http://arxiv.org/abs/2603.02072v1", + "http://arxiv.org/abs/2603.02070v1", + "http://arxiv.org/abs/2603.02069v1", + "http://arxiv.org/abs/2603.02062v1", + "http://arxiv.org/abs/2603.02056v1", + "http://arxiv.org/abs/2603.02050v1", + "http://arxiv.org/abs/2603.02041v1", + "http://arxiv.org/abs/2603.02029v1", + "http://arxiv.org/abs/2603.02025v1", + "http://arxiv.org/abs/2603.02208v1", + "http://arxiv.org/abs/2603.02176v1", + "http://arxiv.org/abs/2603.02146v1", + "http://arxiv.org/abs/2603.02112v1", + "http://arxiv.org/abs/2603.02099v1", + "http://arxiv.org/abs/2603.02098v1", + "http://arxiv.org/abs/2603.02097v1", + "http://arxiv.org/abs/2603.02084v1", + "http://arxiv.org/abs/2603.02082v1", + "http://arxiv.org/abs/2603.02026v1", + "http://arxiv.org/abs/2603.02024v1", + "http://arxiv.org/abs/2603.02023v1", + "http://arxiv.org/abs/2603.01990v1", + "http://arxiv.org/abs/2603.01973v1", + "http://arxiv.org/abs/2603.01966v1", + "http://arxiv.org/abs/2603.01950v1", + "http://arxiv.org/abs/2603.01945v1", + "http://arxiv.org/abs/2603.01930v1", + "http://arxiv.org/abs/2603.01914v1", + "http://arxiv.org/abs/2603.01912v1", + "http://arxiv.org/abs/2603.01910v1", + "http://arxiv.org/abs/2603.01907v1", + "http://arxiv.org/abs/2603.01875v1", + "http://arxiv.org/abs/2603.01869v1", + "http://arxiv.org/abs/2603.01865v1", + "http://arxiv.org/abs/2603.02204v1", + "http://arxiv.org/abs/2603.02202v1", + "http://arxiv.org/abs/2603.02194v1", + "http://arxiv.org/abs/2603.02188v1", + "http://arxiv.org/abs/2603.02174v1", + "http://arxiv.org/abs/2603.02159v1", + "http://arxiv.org/abs/2603.02145v1", + "http://arxiv.org/abs/2603.02142v1", + "http://arxiv.org/abs/2603.02109v1", + "http://arxiv.org/abs/2603.02100v1", + "http://arxiv.org/abs/2603.02092v1", + "https://huggingface.co/papers/2603.01096", + "https://huggingface.co/papers/2603.01493", + "https://huggingface.co/papers/2602.23543", + "https://huggingface.co/papers/2603.00516", + "https://huggingface.co/papers/2603.01907", + "https://huggingface.co/papers/2603.00961", + "https://huggingface.co/papers/2602.19896", + "https://huggingface.co/papers/2603.01824", + "https://huggingface.co/papers/2602.23866", + "https://huggingface.co/papers/2603.01281", + "https://huggingface.co/papers/2603.02049", + "https://huggingface.co/papers/2603.02208", + "https://huggingface.co/papers/2603.00141", + "https://huggingface.co/papers/2603.00889", + "https://huggingface.co/papers/2602.23359", + "https://huggingface.co/papers/2603.00585", + "https://huggingface.co/papers/2603.02024", + "https://huggingface.co/papers/2603.01940", + "https://huggingface.co/papers/2603.01142", + "https://huggingface.co/papers/2603.02099", + "https://huggingface.co/papers/2603.01223", + "https://huggingface.co/papers/2603.02203", + "https://huggingface.co/papers/2603.01301", + "https://huggingface.co/papers/2603.02138", + "https://huggingface.co/papers/2603.01896", + "https://huggingface.co/papers/2603.01425", + "https://huggingface.co/papers/2603.01840", + "https://huggingface.co/papers/2603.00483", + "https://huggingface.co/papers/2603.01973", + "https://huggingface.co/papers/2603.01562", + "https://github.com/login?return_to=%2fruvnet%2fruview", + "https://github.com/login?return_to=%2fcodebuffai%2fcodebuff", + "https://github.com/login?return_to=%2fagentscope-ai%2fagentscope", + "https://github.com/login?return_to=%2fagentscope-ai%2freme", + "https://github.com/login?return_to=%2flmcache%2flmcache", + "https://github.com/login?return_to=%2faquasecurity%2ftrivy" ] } \ No newline at end of file diff --git a/daily/2026-03-03_en.md b/daily/2026-03-03_en.md new file mode 100644 index 0000000..70a826d --- /dev/null +++ b/daily/2026-03-03_en.md @@ -0,0 +1,50 @@ +# AI Daily Brief - 2026-03-03 + +> Collected at: 3/3/2026, 11:00:57 PM +> Total items: 106 + +## 🔥 Top 10 Highlights + +1. From Scale to Speed: Adaptive Test-Time Scaling for Image Editing + https://huggingface.co/papers/2603.00141 + +2. login?return_to=%2Fruvnet%2FRuView + https://github.com/login?return_to=%2Fruvnet%2FRuView + +3. login?return_to=%2FCodebuffAI%2Fcodebuff + https://github.com/login?return_to=%2FCodebuffAI%2Fcodebuff + +4. login?return_to=%2FLMCache%2FLMCache + https://github.com/login?return_to=%2FLMCache%2FLMCache + +5. login?return_to=%2Faquasecurity%2Ftrivy + https://github.com/login?return_to=%2Faquasecurity%2Ftrivy + +6. SageBwd: A Trainable Low-bit Attention + http://arxiv.org/abs/2603.02170v1 + +7. Boltzmann-based Exploration for Robust Decentralized Multi-Agent Planning + http://arxiv.org/abs/2603.02154v1 + +8. PonderLM-3: Adaptive Token-Wise Pondering with Differentiable Masking + http://arxiv.org/abs/2603.02023v1 + +9. AdaPonderLM: Gated Pondering Language Models with Token-Wise Adaptive Depth + http://arxiv.org/abs/2603.01914v1 + +10. Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions + http://arxiv.org/abs/2603.02204v1 + +## 📂 Categories + +### AI Infrastructure / Inference Optimization + +- Multi-Head Low-Rank Attention + http://arxiv.org/abs/2603.02188v1 +- Instrumental and Proximal Causal Inference with Gaussian Processes + http://arxiv.org/abs/2603.02159v1 +- Orchestrating Multimodal DNN Workloads in Wireless Neural Processing + http://arxiv.org/abs/2603.02109v1 + +--- +*Generated by AINewsCollector* diff --git a/daily/2026-03-03_zh.md b/daily/2026-03-03_zh.md new file mode 100644 index 0000000..3b8cf17 --- /dev/null +++ b/daily/2026-03-03_zh.md @@ -0,0 +1,50 @@ +# AI Daily Brief - 2026-03-03 + +> 采集时间: 2026/3/3 23:00:30 +> 总条目: 106 + +## 🔥 Top 10 重要消息 + +1. 自适应测试时缩放:图像编辑速度提升新范式 + https://huggingface.co/papers/2603.00141 + +2. WiFi DensePose:将WiFi信号转化为实时人体姿态、生命体征监测与存在检测 + https://github.com/login?return_to=%2Fruvnet%2FRuView + +3. 从终端生成代码的AI助手 + https://github.com/login?return_to=%2FCodebuffAI%2Fcodebuff + +4. 加速大语言模型:打造最快KV缓存层 + https://github.com/login?return_to=%2FLMCache%2FLMCache + +5. 容器安全检测:Trivy全面扫描漏洞与配置 + https://github.com/login?return_to=%2Faquasecurity%2Ftrivy + +6. SageBwd:可训练低比特注意力加速模型训练 + http://arxiv.org/abs/2603.02170v1 + +7. 基于玻尔兹曼探索的鲁棒去中心化多智能体规划 + http://arxiv.org/abs/2603.02154v1 + +8. PonderLM-3:自适应分词级Pondering与可微分掩码技术 + http://arxiv.org/abs/2603.02023v1 + +9. AdaPonderLM:基于自适应深度的门控Ponder语言模型 + http://arxiv.org/abs/2603.01914v1 + +10. 干预下部分因果结构学习实现有效选择性一致预测 + http://arxiv.org/abs/2603.02204v1 + +## 📂 分类汇总 + +### AI 基础设施 / 推理优化 + +- 多头低秩注意力加速长文本推理 + http://arxiv.org/abs/2603.02188v1 +- 基于高斯过程的工具变量与邻近因果推断方法研究 + http://arxiv.org/abs/2603.02159v1 +- 无线神经处理中多模态DNN工作负载协同编排 + http://arxiv.org/abs/2603.02109v1 + +--- +*Generated by AINewsCollector*