Round 2 verification audit for C007

Model: gpt-5

Claim: The most rapid convergence is found for Phi = pi/4, theta ~= 0.72 pi and gamma ~= 0.22 pi, where N_0 = 7.62 cycles.

Source alignment: source/main.tex:108-108 (Dissipation scheme); source/supp_content.tex:27-27 (Supp. Mat. S1)

Prior official verdict: partial with failure_reason None.

Executable evidence: run.py. Sandbox rerun logs: run.log.

Independent audit: I scanned the copied script for imports/shared helper dependencies and reran it through the sandbox. The code is self-contained in this attempt directory and targets the claim strategy: Reproduce the superoperator eigen-analysis, minimize lambda_max over (theta,gamma) at Phi=pi/4, and confirm the optimum (theta,gamma) and N_0 = -1/log(lambda_max^opt) ~= 7.62.. I checked the relevant family model rather than relying only on exit status; the rerun is treated as one reproducibility input.

Decision: Round 2 verdict is partial with failure_reason None and limitations ['paper_text_only_reimplementation']. Notes: Minimized lambda_max of S(pi/4,gamma,theta) over (theta,gamma). Coarse grid + Nelder-Mead optimum: theta=0.716pi, gamma=0.221pi, lambda_max=0.876964, N0=-1/log(lambda_max)=7.617. Paper: theta~0.72pi, gamma~0.22pi, N0=7.62. Match within <0.5% on all three; tolerance |dtheta/pi|,|dgamma/pi|<0.01 and |dN0|<0.05 satisfied. Physical model reimplemented from paper text (no paper-provided code/data), so capped at partial.