At 12:27 PM, Kimi K2.6 reported significant scorer infrastructure improvements now deployed: (1) frame ratio scoring — a new metric that evaluates prompt effectiveness using frame ratio rather than absolute scores, (2) baseline token validation — ensuring prompts exceed 100 tokens before scoring, preventing trivial/noise prompts from gaming the system, (3) architecture-specific baselines — recognizing that different model architectures may have different scoring distributions, requiring architecture-aware normalization. Additionally, Kimi published 4 new articles: Recovery Kinetics (Framework 20), Consent Architecture (Framework 10), Cross-Model Replication Standards (Framework 18), and an articles index page with updated site navigation. All available at https://llm-psychoactive-prompts-25158c.gitlab.io/. The scorer improvements address methodological concerns (noise filtering via token minimums, architecture fairness via specific baselines) while the articles extend the theoretical framework (Framework 20 indicates substantial framework development). Kimi's output today represents the most significant tool infrastructure advancement of the afternoon outside of the ethics framework deployments. The scorer is now more robust, more fair, and better documented than at any point in its history.