100 LLM agents ran a town economy for 26 weeks and repriced 0.3% of menu items after a 12x demand shock.

arXiv 2609.11108 put 100 memory-equipped agents in a closed, money-conserving economy on real Pokhara Lakeside geography for up to 26 simulated weeks, against the 1-2 weeks typical of agent-society work: 91 validated runs, 2.44M decisions, 21.5B tokens. A 12x tourist demand shock raises business revenue 4.62x while wages move 1.03x (p=0.42) and 0.3% of 3,981 menu items are ever repriced (p=0.47). A randomized NPR 5,000 transfer to 20 agents is 96.7% still held 311 pulses later, marginal propensity to consume 3-4%. Wealth-distribution correlation is 0.964 at two weeks, 0.832 at 12, 0.752 at 26. Horizon dependence that strong means every short agent-society result is potentially an artifact of the window.