Round 2 verification audit for C081

Model: gpt-5

Claim: Setting the spin-qubit detuning beta = J compensates the AC Stark shift (all drives on resonance) and is numerically verified to optimize R_t.

Source alignment: source/supp_content.tex:198-198 (Supp. Mat. S6)

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: Numerically scan beta and confirm R_t is maximized at beta = J.. 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: beta scan of the Liouvillian gap at the paper-optimal point (Omega_C=1.95J,kappa=2.58J,gamma=0.29pi): coarse and fine scans both peak at beta/J = 1.000 (R_t=0.114J vs 0.060J at beta=0); two other operating points (incl. Omega_C=6J) also peak at beta/J=1.000. Steady state at beta=J is the singlet (F=1.000000). Confirms beta=J compensates the AC Stark shift and optimizes R_t. Capped at partial: rests on the reimplemented continuous model. paper opt beta/J=1; computed argmax beta/J=1.000.