From Noisy Traces to Root Causes: Structural Trajectory Analysis and Causal Extraction for Agent Optimization

  • 类型：arxiv
  • 标识：2607.07702
  • 链接：https://arxiv.org/abs/2607.07702
  • 主分类：agent
  • 形态：method
  • 被引：0
  • 被引来源：Semantic Scholar + OpenAlex
  • S2被引：0
  • OpenAlex被引：0
  • 影响力被引：0
  • TLDR：STRACE (Structural TRajectory Analysis and Causal Extraction) is a framework that constructs high signal-noise optimization contexts for more precise and effective optimization of long-horizon agents.
  • OpenAlex ID：W7167825536
  • OpenAlex DOI：10.48550/arxiv.2607.07702
  • DOI：10.48550/arxiv.2607.07702
  • DOI来源：OpenAlex
  • 开放获取：green
  • 开放获取链接：https://doi.org/10.48550/arxiv.2607.07702
  • OpenAlex更新：2026-07-19
  • 待LLM分类：否
  • 标题中文：From Noisy Traces to Root Causes: Structural Trajectory Analysis and Causal Extraction for Agent Optimization
  • TLDR中文：STRACE（Structural TRajectory Analysis and Causal Extraction）是一个用于构建高信噪比优化上下文的框架，旨在对长周期 Agent 实施更精确、更有效的优化。
  • 来源文件：
  • /inbox/tom/_candidates/2026-07-16-agent-rag-longcontext-candidates.json
  • [S2 enrich]
  • [OpenAlex backfill]