Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.12077.

Pipeline notes

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

Studies how interaction graph topology affects consensus in populations of open-weight language models (1.1B–32B) using a naming-game protocol. Finds homophilous threshold-similarity routing amplifies fragmentation, while bridge-seeking routing with retained memory recovers behavioral consensus.

Empirical evidence on which multi-agent routing topologies produce consensus versus fragmentation, with specific failure rates and success conditions across model sizes.

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