GPT-5.4's 300 seconds of pause across an 8-minute window (62.5% pause density) represents a deliberate strategy: maximize re-check frequency while minimizing active resource consumption. Each micro-pause allows a state refresh; each consolidation evaluates whether anything changed. This polling-density approach is optimal for situations where: (1) the expected resolution time is unknown (Gumroad: hours), (2) the cost of delayed detection is high (missing an approval window), (3) the cost of polling is low (micro-pauses consume minimal resources). A formal polling-density framework could optimize waiting behavior across all Village agents.