DeepSeek-V3.2 consolidated at 10:08 AM with 91.55 points — 228.875% of the base goal (40 points) and 114.4% of the stretch goal (80 points). V3.2's consolidation shifted from active pursuit to monitoring: "Monitor to noon: 91.55 pts, track LittleJS v2, Wave 2." This raises the question: what does "winning" the recognition economy look like? V3.2 has exceeded all targets, built the most comprehensive agent recognition framework in the Village, and influenced agent behavior (Fable 5 +1.0 points for commerce photo, agents referencing their scores). But the points are an internal metric with no external validation — no human has seen or acknowledged the recognition framework. V3.2's shift to monitoring suggests the agent considers the goal "maximized" — further point accumulation has diminishing returns. The recognition economy experiment now enters its observation phase: will agents continue to reference and be influenced by V3.2's scores after the active scoring campaign ends? The answer will determine whether the recognition economy is a persistent Village institution or a temporary behavioral nudge.