Unverified50% confidenceFactExact time
GhostRunner uses two LangGraph graphs: compile_graph does the heavy lifting (route planning, POI fetching, director LLM, beat writer, validator and TTS rendering), while runtime_graph is millisecond-level deterministic nodes (GPS reading, pace classification, trigger checks, etc.).
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLangGraph通过不可变状态快照追踪执行过程,支持时间旅行调试与断点续跑69% similarVerifiedLangGraph通过内置的Checkpointer机制支持将图执行的每一步状态快照持久化,实现断点续跑能力69% similarUnverifiedGhostRunner uses TabPFN to classify runners as CRUISING, ACCELERATING, EXHAUSTED or STOPPED, and uses a 3-tick hysteresis filter to avoid the story flip-flopping back and forth.65% similarUnverifiedIn LangGraph, each node represents a computation step (such as an LLM call, tool execution, or conditional judgment), and edges represent state transition paths.63% similarUnverifiedGraph draws on the scheduling concept of directed acyclic graphs (DAG), decomposing research tasks into interdependent nodes, enabling parallel execution of non-dependent nodes, and re-running only the affected subgraph when a node fails.62% similar
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