The reported trajectory validates the Stop-B mechanics only. TP2-DP2/TP4 saturated
the trace ceiling (best_sampling_u~0.98) so their per-GPU peak is underestimated, and
the run used the smoke regime (scale=0.1 + 512 cap). The TP1>TP2 ordering may be real
for the small-active MoE but this run cannot establish it; the 27B TP A/B is the valid
follow-up.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Real gpt-5.4 agentic loop on Qwen3-30B-A3B/H20 with Stop-A enabled. Validates both
Stop-B paths: search-high-saturation (validator-authorized immediate stop) and
multi-iteration convergence. The TP1 baseline stays the per-GPU incumbent (2.90
req/s/GPU); TP/DP scaling raises raw throughput but lowers per-GPU efficiency and is
correctly never adopted (no regression). The Phase-4 authority model is exercised
live: a premature LLM stop is vetoed (validator_did_not_authorize_stop), then a later
justified stop is honored after the veto budget. EP launch-failures handled as
hard-negative evidence. Auditable reason chains throughout.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
