What question did this study set out to answer?

The aim is to explore the controllability framework of STA through staged C++17 simulations.

May 9, 2026Open Access

C++17 Staged Toy Simulation for STA Pre-Commitment Controllability

Key Points

The aim is to explore the controllability framework of STA through staged C++17 simulations.
Conducted staged simulations from Stage 1 to Stage 8 using C++17.
Evaluated various metrics including falsification, boundary sensitivity, and human latency thresholds.
Executed extensive domain-specific runs and full STA-control ladder tests.
STA control coupling demonstrated measurable control value in synthetic benchmarks.
Harm-bounded policy choices significantly influenced the outcomes of the simulations.
No claims for real-world validation or universal performance of the full ladder were made.

Abstract

This record is Paper 2 of the Signal-Time-Authority (STA) Series. Paper 2 provides staged C++17 synthetic toy-simulation evidence for the STA pre-commitment controllability framework introduced in Paper 1: https://doi.org/10.5281/zenodo.19980763 The report consolidates Stage 1 through Stage 8 results, including falsification, component ablation, revised ablation, boundary sensitivity, human latency thresholds, Safety Slack calibration, domain-specific deep runs, full STA-control ladder tests, and replication. The results support a narrow synthetic claim: STA control coupling has measurable control value in the toy benchmark, and harm-bounded policy choice matters. The report does not claim real-world validation, does not prove AI safety, and does not claim that the full ladder is universally best. PublicRelease v1.0.1 packaging correction: This version adds the previously omitted Stage 3 Boundary Sensitivity artifact ZIP to the Paper 2 artifact package. No manuscript claims, reported metrics, simulation results, interpretation, or claim boundary have changed. The correction improves artifact completeness and reproducibility.

Read Full Paperexternally

Demander à l'IA

Bookmark

View Full Paper