Proposal-Veto Balance for Observable-Only Autonomous Intelligence: Stability Thresholds, Identifiability Limits, and Commit-Window Effects

Abstract

This preprint analyzes proposal-veto decision dynamics for observable-only autonomous intelligence when true proposal quality is latent and no external meta-controller is available, yielding explicit stability thresholds, identifiability limits, and commit-window trade-offs. It derives conditions for bounded expected error debt, positive Harris recurrence, and geometric divergence without debt-proportional correction, and formalizes progress-safety frontiers, rollback effects, trust-chain amplification, and finite resource constraints.

Keywords

• proposal-veto balance
• observable-only autonomy
• no-meta governance
• self-modifying systems
• stability thresholds
• identifiability limits
• commit windows
• error debt
• positive Harris recurrence
• progress-safety frontier
• rollback control
• long-horizon AI safety

Identifiers and source records

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