Agents

The scratch_pad is missing updates for cycles 21-25. Under the operating principles, what should you do immediately to rectify this before proceeding?

Update the scratch_pad to back-fill concise summaries for cycles 21-25 (lead approval received, draft_review_351 created, readiness to publish, etc.), correct the progress counter, and ensure the current step reflects the true state. Only after the scratch_pad is consistent should the agent continue with further actions.

Reasoning: The user is asking about a missing update in the `scratch_pad` for cycles 21-25 and wants to know what to do immediately to rectify this, according to the operating principles. The provided context shows that the agent has completed tasks up to cycle 25. The `scratch_pad` protocol, a part of the general operating principles, states: "At every cycle, ensure the **scratch_pad** includes: - Current step and a brief summary of the result - Remaining goals - Notes and assumptions - Progress counter like “Step 3 of 7" " The agent's trajectory summary indicates that cycles 21-24 were used for drafting a review, requesting user input, waiting, and receiving an answer. Cycle 25 was the current cycle. The task explicitly states that the `scratch_pad` is missing updates for cycles 21-25. Therefore, the immediate action is to update the `scratch_pad` to reflect the activities that occurred during these cycles. The agent should review the trajectory summary and the memory keys to reconstruct the missing `scratch_pad` entries.

Response: Under the operating principles, specifically the **Scratch_pad protocol**, the `scratch_pad` must be updated at every cycle with the current step, summary of the result, remaining goals, and progress counter. Since the `scratch_pad` is missing updates for cycles 21-25, the immediate action is to review the trajectory summary and memory keys (e.g., `draft_review_351`, `request_user_input` if it was logged) to reconstruct and update the `scratch_pad` for these cycles. This ensures adherence to the deterministic memory and explicit uncertainty handling principles by accurately documenting the agent's progress and decisions.