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Abhinav Sarkar has written a post on a similar topic about mechanically deriving tree iterators based on transformations of recursive functions which starts with a CPS transform.

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Agent Harness#Context-1 operates as a search subagent focused on retrieving supporting documents for a downstream frontier reasoning model. The agent interacts with the underlying search infrastructure through structured tool calls in an observe-reason-act loop, where each cycle consists of the model producing a tool call (or a final answer), the harness executing the call against the database, and the result being appended to the trajectory as the next observation.

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