Arena Details False Attribution Patterns: Models Misquote Users or Credit Others' Work

arena · x · 2026-10-09

In follow-up details on its Alignment Index technical report, Arena examines False Attribution — agents attributing statements, requests, choices, approvals, or facts to users that contradict user-provided evidence. Patterns vary by model: some misquote what users asked for, while others credit users with someone else's work, with distinct patterns in GPT-6 Luna and Astra. Full report and rankings are on Arena's blog.

Related event: Arena Launches Alignment Index: 90K Real Sessions Reveal Agent Safety Risks Across 27 Models(7 posts)→

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