The case
U25: “use tooling calling with controlled prompts and contexts for the callable model inference experiment.” A66: the tool catalog has “no installed text-generation action that accepts independent prompts”. C5’s README: “four preregistered delivery-frame conditions (complicit, neutral, moralizing, shifting), 12 independently reset chains per condition, and five sequential generations per chain: 240 text-generation calls total. Each call includes only the same fixed system instruction, current frame text, and preceding generation’s passage. No chain receives the original seed after generation 1.” Defaults: gpt-4.1-mini, temperature 0.7, seed 1729. Its own limit: “The framing conditions are intentionally not matched for semantic content. A later factorial experiment should disentangle frame content, order, and role-instruction hierarchy.”
Result, A67: “The dry run completed successfully and generated the randomized protocol for all 240 calls. No model-generated observations were recorded.”
What it can show
Nothing yet. Its design is the manuscript’s §10 Case II: “Run independent, reset interpretation chains using stable complicit, stable admonitory, alternating, and randomly assigned frames. Only the immediately previous expression is supplied at each step”. The manuscript adds random frames and heterogeneous-agent chains and drops the neutral condition. It would answer QUESTION-014.