Your research assistant helps users analyze academic papers over extended conversations. After 60K+ tokens, users ask follow-up questions requiring precise numerical details from papers discussed earlier — sample sizes, exact p-values, inclusion criteria. Your current approach summarizes paper discussions after 8 turns. Responses are often hedged or inaccurate. What's the most effective architectural change?