跳到正文
研踪PaperTrail

YOUR RESEARCH, IN SIGHT

让下一篇重要论文,不再错过。

覆盖计算机全学科,以 AI 为快捷入口。关注方向、作者和关键词,把发现变成持续的研究积累。

部分采集异常
正在读取账号与研究记录…

全站更新概况

+1673新增论文
+1257其中 AI 相关
+198已有论文修订
+100新增 AI 导读

arXiv 最近完成扫描:2026-11-14 02:49 · 全站最近入库:2026-11-13 20:44各信源进度 →

统计口径与数据新鲜度

统计 2026-11-13 03:21 — 2026-11-14 03:21(北京时间) · 点击数字查看对应简报;AI 相关包含在新增论文内。

最近完成检查:2026-11-14 02:49最近发现新增版本:2026-11-13 20:44库内论文最新更新时间:2026-11-13 02:59

每分钟刷新已保存的数据。空检查不代表采集异常;新收录可能包含历史论文。AI 导读按新增版本计数。

23,348 已收录论文19,580 AI 相关6,727 有修订112 HF 社区发现

浏览论文库

时间范围跟随排序:版本更新、本站收录或首次发表。最新收录可能包含历史论文。部分信源异常,查看状态 →

找到 1 篇论文 · 按版本更新时间排序上轮扫描起点 2026-11-14 02:48(北京时间)
版本更新 · v3arXiv:2609.35885

Local Agreement Does Not Imply Global Consensus in LLM Panels

Machiko Hirota, Akshara Nadayanur Sathis Kanna, Ujwal Kumar, Phan Xuan Tan

原文摘要

Local coordination in an LLM panel need not produce a common answer. We study 50-agent panels that update clock-time estimates after observing their neighbours. This circular response space separates agreement across the whole panel from agreement within neighbourhoods. Increasing the reasoning effort of gpt-5-mini reduces variation in local agreement, but all 20 higher-effort trials retain a one-twist configuration: neighbouring estimates remain close while the panel spans the clock. Degree-preserving rewiring instead produces global synchronisation in all 25 primary clock controls. These classifications are unchanged across 2,187 combinations of diagnostic thresholds and reporting windows. A radius-, effort-, and passage-matched scoring task also shows more uniform local agreement after rewiring, without establishing greater scoring accuracy. A simple averaging model helps interpret the clock results but predicts their configurations poorly. The experiments support measuring global agreement and local structure separately, rather than inferring consensus from uniform local agreement.

cs.MA