Arxiv Weekly LLM Papers Agent The long-tail keyword here is arxiv weekly LLM papers agent . The intent is not just "summarize papers." A useful weekly digest connects papers to implementations, discussion, adoption signals, and regional commentary. AutoSearch helps an agent collect that wider context through MCP-native research across 40 channels, including academic, developer, social, video, and 10+ Chinese sources. For LLM papers, the abstract is only the start. The practical question is whether the idea has code, whether researchers are discussing limitations, whether developers are reproducing results, and whether Chinese AI communities are interpreting the work differently. Digest goals Define the output before collecting sources. A good weekly digest might include paper title, core idea, method category, claimed result, implementation status, related GitHub repositories, community reaction, and why it matters for builders. The agent should not rank papers only by title appeal.…