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Optimizing for the Rank Made the Corpus More Alike

CHASE simulates creators repeatedly rewriting documents toward one LLM ranking signal.

Published Updated Story ID: mp-2026-09-01-017
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Summary

CHASE simulates creators repeatedly rewriting documents toward one LLM ranking signal.

Across six domains and twenty rounds, quality-ranking alignment fell in every domain, with a mean Spearman change of minus 0.068. A random-target control linked the shift to ranking incentives rather than repeated rewriting alone; the result is a controlled ecosystem simulation.

Why it matters

CHASE simulates creators repeatedly rewriting documents toward one LLM ranking signal.

Limits and context

No additional limitation was separately recorded.

Key claims

  1. CHASE simulates creators repeatedly rewriting documents toward one LLM ranking signal.

    Evidence: source-2026-09-01-019

Sources

  1. arXiv preprint 2608.30466arXiv · primary research

Corrections

No corrections have been recorded for this story.