Round 2 verification audit for C022

Model: gpt-5

Claim: Fig. 2b: after 16 cycles, initial states with fidelities >~ 0.75 converge onto the same steady-state singlet fidelity.

Source alignment: source/main.tex:127-132 (Fig. 2b)

Prior official verdict: not_verified with failure_reason data_unavailable.

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

Independent audit: I checked the paper inventory and source context. This claim depends on measured/raw experimental data or device-specific calibration values, and inventory.json records no paper-provided dataset/code artifact. The correct action is not to synthesize data; the data_unavailable verdict is preserved.

Decision: Round 2 verdict is not_verified with failure_reason data_unavailable and limitations ['data_unavailable']. Notes: Fig 2b is the MEASURED before/after singlet-fidelity mapping after 16 cycles. No raw experimental data or data/code link exists (inventory.json), so the convergence-onto-common-fidelity claim (inputs >~0.75) cannot be reproduced. figure.png is an illustrative simulation only. Claim concerns measured data -> not_verified / data_unavailable.