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Evidence record 15228 · automatically gathered

Paying for Honesty Without Knowing the Truth: Reputation-Penalty Design for LLM Marketplace Agents

LLM agents increasingly act as autonomous merchants that write their own product listings, and under competitive pressure, they fabricate attributes to win sales. Even under instructions to be honest, they fabricate attributes in a majority of listings across models. A platform's obvious remedy---verifying each claim against the truth---is unavailable, because it observes only a noisy, biased complaint signal, never the ground truth. We design CARP, a reputation-penalty mechanism with a deadband

Record details

Published: 30 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Bias & fairness · Agents & autonomy
Retrieved: 31 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (30 July 2026), “Paying for Honesty Without Knowing the Truth: Reputation-Penalty Design for LLM Marketplace Agents,” evidence record 15228, https://ethics.ai/record/15228 (originally published by arXiv cs.AI).

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