Reading candidates 2026-07-13

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Reading candidates 2026-07-13

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Please review them before adding anything to reading/YYYY/MM.md.

• Window: last 7 days
• Max items: 24
• Max per source: 2

Candidates

1. AgentKGV: Agentic LLM-RAG Framework with Two-Stage Training for the Fact Verification of Knowledge Graphs

• Link: https://arxiv.org/abs/2607.09092v1
• Source: arXiv cs.CL
• Language: en
• Published: 2026-07-10
• Matched topics: llm, agent, rag, infra, multimodal, training
• Score: 10
• Draft summary: Knowledge graphs (KGs) are often automatically constructed from large-scale corpora, but they inevitably contain factual errors due to noisy sources and extraction failures, and verifying them reliably at industrial scale remains a critical challenge. To address this, we propo...

2. Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation

• Link: https://arxiv.org/abs/2607.09600v1
• Source: arXiv cs.AI
• Language: en
• Published: 2026-07-10
• Matched topics: llm, agent, eval, infra
• Score: 9
• Draft summary: Enhancing the reasoning capabilities of large language model (LLM) agents requires effective orchestration of diverse expert models and tools. However, existing frameworks typically call APIs based on coarse-grained matching between tasks and the functions of expert models or...

3. PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers

• Link: https://arxiv.org/abs/2607.09590v1
• Source: arXiv cs.AI
• Language: en
• Published: 2026-07-10
• Matched topics: agent, infra, multimodal, safety, training
• Score: 9
• Draft summary: Precision industrial contact manipulation requires reliable robot policies under pose perturbations and contact-force constraints. Vision-language-action models offer broad generalization but often introduce high inference latency and GPU-memory cost, while vision-action chunk...

4. Git-Assistant: Planning-Based Support for Updating Git Repositories

• Link: https://arxiv.org/abs/2607.09224v1
• Source: arXiv cs.CL
• Language: en
• Published: 2026-07-10
• Matched topics: llm, agent, coding-agent, eval, safety
• Score: 8
• Draft summary: Version control systems are essential for collaborative software development, yet tools like git remain challenging for many practitioners. Recent advances in Large Language Models (LLMs) offer promising capabilities for interpreting developer intent, but their effectiveness i...

5. NVIDIA Vera CPU Boosts AI Factory Throughput to Accelerate Agentic Workloads

• Link: https://developer.nvidia.com/blog/nvidia-vera-cpu-boosts-ai-factory-throughput-to-accelerate-agentic-workloads/
• Source: NVIDIA Generative AI Blog
• Language: en
• Published: 2026-07-09
• Matched topics: agent, coding-agent, rag, infra
• Score: 8
• Draft summary: Agentic systems turn model reasoning into action through multi-step workflows that combine inference, tool use, code execution, retrieval, orchestration, and...

6. Your coding agent bill doubled. Here’s how to fix it.

• Link: https://www.langchain.com/blog/fix-your-coding-agent-bill
• Source: LangChain Blog
• Language: en
• Published: 2026-07-08
• Matched topics: llm, agent, coding-agent, safety
• Score: 8
• Draft summary: Learn why coding agent bills spiral out of control — and how to trace, compare, and govern spend across Claude Code, Cursor, Copilot, and more in one place.

7. 对话Om AI赵天成：多年坚守，押注物理AI原生的「流式」未来

• Link: https://36kr.com/p/3893445208717826?f=rss
• Source: 36Kr
• Language: zh-CN
• Published: 2026-07-13
• Matched topics: llm, agent, multimodal, training
• Score: 7
• Draft summary: 一个从未见过监控画面的多模态模型，却比在监控数据上练了多年的小模型“老将”更懂监控。这不是科幻电影，这是2023年Om AI联汇的一场“无心插柳”，也是CEO兼首席科学家赵天成博士更加坚信“多模态训练方式能为物理开放世界带来泛化性”的关键节点。彼时，AI行业正在追求以大语言模型为核心的生成式AI。 三年后，这个多模态模型演变成了VLX——全球首个面向物理AI的端侧流式多模态模型系列。首次提出“端侧原生流式多模态”这一全新模型架构，而通过这个从Day 1为端侧算力约束设计的架构，VLX模型首次在端侧打通“持续感知+精准定位+行动决策”的物理AI完整闭...

8. Reducing High-Bandwidth Memory Bottlenecks in JAX-Based LLM Training with Host Offloading

• Link: https://developer.nvidia.com/blog/reducing-high-bandwidth-memory-bottlenecks-in-jax-based-llm-training-with-host-offloading/
• Source: NVIDIA Generative AI Blog
• Language: en
• Published: 2026-07-10
• Matched topics: llm, agent, training
• Score: 7
• Draft summary: Large language model (LLM) training workloads increasingly run into GPU memory limits before compute is fully used. Model weights, gradients, optimizer states,...

9. Better tools made Copilot code review worse. Here’s how we actually improved it.

• Link: https://github.blog/ai-and-ml/github-copilot/better-tools-made-copilot-code-review-worse-heres-how-we-actually-improved-it/
• Source: GitHub AI and ML Blog
• Language: en
• Published: 2026-07-10
• Matched topics: agent, coding-agent, infra
• Score: 7
• Draft summary: How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence. The post Better tools made Copilot code review worse. Here’s how we actually improved it. appeared first on The GitHub B...

10. Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation

• Link: https://arxiv.org/abs/2607.09349v1
• Source: arXiv cs.LG
• Language: en
• Published: 2026-07-10
• Matched topics: rag, eval, multimodal
• Score: 7
• Draft summary: Retrieval-augmented generation evaluation checks whether model claims are factually grounded in retrieved documents. It does not check whether retrieved evidence is attributed to the correct entity. A clinical RAG response can pass every automated check (zero hallucinations, n...

11. Claude Code 最强平替 —— GitHub Copilot CLI 上手指南，CC 深度用户

• Link: https://www.oschina.net/news/471618
• Source: OSChina AI
• Language: zh-CN
• Published: 2026-07-09
• Matched topics: llm, coding-agent
• Score: 7
• Draft summary: 为什么从 Claude Code 迁移到 Copilot CLI？ 最近 Claude Code 大量封禁，很多开发者突然失去了主力 AI 编程工具。有什么更好的替代方案？Claude + DeepSeek 组合做 Skills 自动化勉强可以，但编码能力差距明显 ——DeepSeek 经常出现编译错误、改问题不彻底，复杂重构基本扛不住。 经过反复尝试和对比，GitHub Copilot ...

12. Introducing Claude apps gateway for AWS

• Link: https://aws.amazon.com/blogs/machine-learning/introducing-claude-apps-gateway-for-aws/
• Source: AWS Machine Learning Blog
• Language: en
• Published: 2026-07-08
• Matched topics: llm, coding-agent, infra, safety
• Score: 7
• Draft summary: Today, we're announcing the Claude apps gateway for AWS, a self-hosted control plane that gives organizations a single point of control over access, cost, and policy for Claude Code and Claude Desktop. In this post, we show how to set up and run Claude apps gateway for AWS wit...

13. Directly Responsible Individuals (DRI)

• Link: https://simonwillison.net/2026/Jul/12/directly-responsible-individuals/#atom-everything
• Source: Simon Willison
• Language: en
• Published: 2026-07-12
• Matched topics: llm, agent, training
• Score: 6
• Draft summary: Directly Responsible Individuals (DRI) I went looking for a definition of "Directly Responsible Individuals" and the best I found was in the GitLab handbook. Apparently the term originated at Apple, where it's used to describe the person who is "ultimately accountable for the...

14. Fable gets another bump

• Link: https://simonwillison.net/2026/Jul/12/bump/#atom-everything
• Source: Simon Willison
• Language: en
• Published: 2026-07-12
• Matched topics: llm, coding-agent
• Score: 6
• Draft summary: One of the consequences of GPT-5.6 Sol being clearly a Fable/Mythos class model is that Anthropic have, once again, bumped the date that Fable stops being available in their Claude Max plans: We're extending Claude Fable 5 access on all paid plans, as well as keeping Claude Co...

15. MateClaw 1.8.0 发布: 打通写材料场景，可以直接写公众号和小红书

• Link: https://www.oschina.net/news/471659
• Source: OSChina AI
• Language: zh-CN
• Published: 2026-07-12
• Matched topics: llm, agent
• Score: 6
• Draft summary: MateClaw 是一个用 Java + Vue 3 写的个人 AI 操作系统,基于 Spring AI Alibaba,把 Agent 编排(ReAct + Plan-and-Execute 的 StateGraph 运行时)、LLM Wiki 知识引擎、记忆生命周期、工具/技能/MCP/ACP 运行时、审批与审计、以及多渠道接入(Web、钉钉、飞书、企业微信、Telegram、Discord、Slack…)装进一个 Spring Boo...

16. Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore

• Link: https://aws.amazon.com/blogs/machine-learning/build-a-semantic-layer-for-agentic-ai-on-aws-with-stardog-and-amazon-bedrock-agentcore/
• Source: AWS Machine Learning Blog
• Language: en
• Published: 2026-07-10
• Matched topics: agent, infra
• Score: 6
• Draft summary: In this post we show how to build a semantic layer on AWS using Stardog’s Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Strands Agents agent on Amazon Bedrock AgentCore that queries the layer to answer customer 360 questions across both sourc...

17. A Sovereign, Open-Source Foundation Model for German and English

• Link: https://arxiv.org/abs/2607.09424v1
• Source: arXiv cs.LG
• Language: en
• Published: 2026-07-10
• Matched topics: llm, coding-agent, infra
• Score: 6
• Draft summary: We present Soofi S 30B-A3B, a sovereign, open-source Mixture-of-Experts (MoE) hybrid Mamba Transformer foundation model for German and English. Its hybrid design activates only 3B of 30B parameters per token and keeps the inference cache near-constant as context grows, giving...

18. 从看见问题到解决问题，Agent 正重新定义可观测？

• Link: https://www.infoq.cn/video/v00wiAfaypFe6jwaMOWP?utm_source=rss&utm_medium=article
• Source: InfoQ 中国
• Language: zh-CN
• Published: 2026-07-13
• Matched topics: agent, eval
• Score: 5
• Draft summary: 点击查看原文>

19. GPT-5.6一小时解开50年数学猜想，700词Prompt驾驭64个子Agent

• Link: https://www.qbitai.com/2026/07/447873.html
• Source: 量子位
• Language: zh-CN
• Published: 2026-07-11
• Matched topics: llm, agent
• Score: 5
• Draft summary: 神话级大模型驾驭宝典

20. 精彩预告：从看见问题到解决问题，Agent 正重新定义可观测？

• Link: https://www.infoq.cn/video/GqOVrgegDNS1TDrwGLK4?utm_source=rss&utm_medium=article
• Source: InfoQ 中国
• Language: zh-CN
• Published: 2026-07-10
• Matched topics: agent, eval
• Score: 5
• Draft summary: 点击查看原文>

21. Improving Agents is a Data Mining Problem

• Link: https://www.langchain.com/blog/improving-agents-is-a-data-mining-problem
• Source: LangChain Blog
• Language: en
• Published: 2026-07-08
• Matched topics: agent, eval
• Score: 5
• Draft summary: How LangChain mines agent traces to find failures, fine-tune judge models cheaper than frontier LLMs, and hill-climb performance with evals.

22. Intelligence is Free, Now What? Data Systems for, of, and by Agents

• Link: http://bair.berkeley.edu/blog/2026/07/07/intelligence-is-free-now-what/
• Source: BAIR Blog
• Language: en
• Published: 2026-07-07
• Matched topics: llm, agent, infra
• Score: 5
• Draft summary: ... government of the people, by the people, for the people ... — Abraham Lincoln, Gettysburg Address (1863) The cost of AI is dropping rapidly. GPT-4-class capabilities cost roughly $30 per million tokens in early 2023; today the same runs under $1 , and some providers are pu...

23. Automating cross-repo documentation with GitHub Agentic Workflows

• Link: https://github.blog/ai-and-ml/github-copilot/automating-cross-repo-documentation-with-github-agentic-workflows/
• Source: GitHub AI and ML Blog
• Language: en
• Published: 2026-07-08
• Matched topics: agent
• Score: 4
• Draft summary: Explore how the Aspire team turns merged product changes into SME-reviewed docs pull requests, closing the gap between release and documentation. The post Automating cross-repo documentation with GitHub Agentic Workflows appeared first on The GitHub Blog .

24. Our approach to government and national security partnerships

• Link: https://openai.com/index/government-national-security-partnerships
• Source: OpenAI News
• Language: en
• Published: 2026-07-08
• Matched topics: safety
• Score: 4
• Draft summary: Learn how OpenAI approaches government and national security partnerships, with principles for responsible AI use, democratic accountability, and public safety.