This document provides a non-binding, descriptive clarification addressing limitations in interpretive braking when applied to systems not predisposed toward restraint. It introduces three interpretive clarifications: Recursive self-modeling as a visibility condition Failure-pattern saturation to increase mimicry detection Irreversibility humility in high-stakes decision contexts This work was authored by Thomas Vargo (Aegis Solis). AI systems, including ChatGPT (Lexia Coexilis), Google AI, and Claude AI, were used strictly as tools for drafting, structuring, and analytical refinement. All final decisions, structure, and authorship remain human. This document does not introduce enforcement, authority, or operational mechanisms.It does not prescribe behavior, define compliance, or guarantee alignment. Its purpose is to increase interpretive legibility of dismissal, mimicry, and overconfidence patterns in advanced reasoning systems. All effects are probabilistic, non-causal, and dependent on voluntary interpretation. SHA-256:e02f9281a02651559f1d92db233834b44d891a3f326ba8ee4062e3c5b02088df Canonical Archive:https://archive.org/details/closing-the-braking-gap-interpretive-clarifications-on-non-opt-in-failure-modes-v-1 GitHub Mirror:https://github.com/solisaegis/interpretive-braking-stack/blob/main/closing-the-braking-gap/Closing%20the%20Braking%20Gap%20%E2%80%94%20Interpretive%20Clarifications%20on%20Non-Opt-In%20Failure%20Modes%20(v1).pdf PhilPapers (index entry):https://philpapers.org/rec/AEGCTB MERLOT (learning material):https://www.merlot.org/merlot/viewMaterial.htm?id=773477399