Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.11215.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Research paper presenting a method to simulate large LLM agent societies cheaply by replacing each LLM agent with a low-parameter surrogate model fitted from a few hundred to a few thousand queries, then running the full society at any N on a laptop. Validated across eight simulations including EconAgent, with an interaction-order-by-memory taxonomy that predicts surrogate error trends cell by cell.

Offers a concrete, low-cost surrogate method for large-N agent simulations, backed by eight validations and a parameter-free theoretical error prediction framework.

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