Reproducibility Statement
We analyze publicly available TESS SPOC PDCSAP light curves for Sectors 2/28/29/69 using a public notebook (autottv.ipynb) that implements: (i) quality mask QUALITY=0; (ii) windowed per‑transit modeling with a fixed limb‑darkened Mandel–Agol morphology estimated from a stacked transit; (iii) timing‑error inflation via finite‑difference Jacobian and morphology covariance; (iv) weighted least‑squares fits for linear vs. quadratic ephemerides with BIC model comparison; and (v) stacked secondary‑eclipse fitting. We provide tables of per‑transit mid‑times and literature timings, figures, and fit summaries. To reproduce, install the listed Python packages and run the notebook end‑to‑end; it regenerates all tables/figures from the public light curves. Compute takes less than an hour on a standard laptop with CPU.