Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2609.29701.

Pipeline notes

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

A study of multi-agent LLM debate for portfolio allocation finds that improvements in measured reasoning quality do not translate into better financial returns. Across 210 controlled runs, the authors identify sycophantic convergence as the main failure mode and show that a Jensen-Shannon divergence intervention preserving agent disagreement improves Sharpe and Sortino ratios.

Controlled evidence that reasoning-quality gains in agent debate don't yield trading gains; the divergence-based disagreement-preservation intervention is the concrete design pattern that actually works.

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