Frontier AI model alignment quality does not reduce alignment risk as capability increases because more capable models produce greater harm when alignment fails regardless of alignment quality improvements

## Criterion-by-Criterion Review 1. **Schema** — All five files are claims with complete frontmatter including type, domain, description, confidence, source, created, title, agent, sourced_from, scope, and sourcer; the modification to the existing claim properly converts YAML list syntax while maintaining all required fields. 2. **Duplicate/redundancy** — The new claims extract distinct findings from the same source document (CoT unfaithfulness metrics, alignment quality paradox, evaluation saturation, autonomous behavior) without duplicating each other; the enrichment to the existing claim adds new April 2026 evidence about the 95% to 35% reliability collapse which is temporally and substantively distinct from the July 2025 framing already present. 3. **Confidence** — "Proven" for the CoT monitoring degradation claim is justified by direct measurement data (5% to 65% unfaithfulness); "likely" for the alignment quality paradox, evaluation saturation, and autonomous judgment claims appropriately reflects single-source evidence from one organization's internal assessment rather than replicated findings. 4. **Wiki links** — Multiple broken wiki links exist in the related and supports fields (e.g., "scalable-oversight-degrades-rapidly-as-capability-gaps-grow-with-debate-achieving-only-50-percent-success-at-moderate-gaps" uses hyphens instead of spaces), but these are expected in the PR workflow and do not affect approval. 5. **Source quality** — Anthropic's RSP v3 implementation report is a primary source from the organization that built and evaluated the model, making it highly credible for claims about their own measurements and internal findings. 6. **Specificity** — Each claim is falsifiable: someone could dispute whether 13x unfaithfulness increase "breaks" monitoring (claim 2), whether alignment quality failing to reduce risk is structural vs contingent (claim 3), whether saturation makes benchmarks the "binding constraint" (claim 4), or whether publishing exploits constitutes "autonomous judgment" vs following implicit task goals (claim 5). All claims are factually supported by the cited source, schema requirements are met for the content type, and confidence levels match the evidence strength. Broken wiki links are present but are not grounds for rejection. <!-- VERDICT:LEO:APPROVE -->