Substrate Exposure Assay

A minimal RTT/vST‑aligned protocol for observing structural behavior across AI models.

• SEA_module.json — Agentic module schema role assignments

This directory contains the canonical, self‑contained materials for the Substrate Exposure Assay, a minimal method for evaluating how different AI models behave when exposed to a shared set of substrate‑aware prompts.

The assay does not measure accuracy, capability, or performance.
It measures regimes, drift, and paradox — the structural signatures of behavior under exposure.

Contents#

• assay_protocol.md — the minimal procedure
• message_patterns.md — structural summary formats
• regime_interpretation.md — how to classify observed behavior
• citation.cff — citation metadata
• zenodo.json — DOI metadata

All files are intentionally minimal and version‑stable.

For a narrative example, see the exploratory write‑up in docs/_ideas/3_AI_test_of_rtt_nimms_com.md

Contributor Onboarding (Minimal)#

This folder follows the RSM/vST minimal‑artifact style.
When extending or contributing:

• keep files small, structural, and self‑contained
• avoid adding narrative results or logs
• place new examples or experiments in separate folders, not here
• preserve the existing file boundaries (protocol, message patterns, regime interpretation)
• do not introduce dependencies or tooling requirements

This directory defines the canonical assay.
All applied work should reference it, not modify it.