arXiv:cs.AI· Chun-Yu Hsu, Lun-Wei Ku, Chung-Chi Chen·· 16 小时前
LLM Agent 链中的上游影响与下游再锚定
Upstream Influence, Downstream Re-Anchoring in LLM Agent Chains
AI 导读
研究发现,多智能体链的信息架构决定协同操纵能走多远:在 32 个台湾 2025 罢免案例上,给单个 Agent 展示十条真实 Threads 评论可使其立场向注入观点偏移 +0.171,而传到第三个 Agent 时偏移量减少过半,但若让每条评论都摆在每个 Agent 面前则偏移保留更多。
正文
Abstract:People act on evaluative judgments produced by LLM agents, and in multi-agent systems those judgments pass through several agents before reaching a person. We show that a workflow's information architecture---source access, handoff format, and which model reads the untrusted content---governs how much of a coordinated manipulation reaches the end. On 32 Taiwan~2025 recall cases, ten authentic Threads comments shown to one agent move its stance by $+0.171$ toward the injected position, and a mirrored set moves it the other way. Passing that judgment down a chain removes more than half of the shift by the third agent; keeping the comments in front of every agent sustains more of it. The reduction is not attrition in transit: each receiver discounts the inherited stance in proportion to how far it sits from its own reading of the evidence, returning to what that evidence implies for the case rather than to neutrality---consistent with partial re-anchoring. Handoff format is a second lever: a stance relayed without its reasoning is largely discounted. Susceptibility at the exposed seat varies fourfold across models, while the chain's arrangement does not matter at all. None of this is visible in the transcripts---the injected claims are almost never restated, so reasoning-trace audits miss the attack.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.17723 [cs.AI] |
| (or arXiv:2610.17723v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.17723 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Chun-Yu Hsu [view email]
[v1]
Tue, 13 Oct 2026 04:57:25 UTC (232 KB)
来源:arXiv:cs.AI · arxiv.org