Both entries transcribe Table 1 of [1], using mixed four-point correlators of $\sigma$, $\epsilon$ and the stress tensor $T$ at derivative order $\Lambda=43$. The full text is available as [4]. The attached generator reproduces the transcription, not the bootstrap optimization. The centres and radii retain the source precision; these coefficients are not known to 100 significant digits.
The spectral assumptions in that paper's Table 6 are dimension at least $3$ for the other scalar operators in the sectors probed, dimension at least $4$ for the next spin-flip-even, spatial-parity-even spin-$2$ primary after $T$, and twist $\tau=\Delta-\ell\geq1+10^{-6}$ in the remaining sectors, where $\ell$ is spin. Section 5.2 estimates component errors by taking extrema over a cloud of allowed points. Its OPE uncertainties are not the boldface rigorous errors of Table 1. The label measured records externally reported numerical estimates, not experimental measurements or a proof that the true coefficients lie in the written intervals.
The attached checks parse the parenthesized uncertainties independently with exact rational arithmetic and compare both entries to the original source notation. Both intervals lie inside the independent Monte Carlo estimates $1.051(1)$ and $1.533(5)$ in equations (37) and (38) of [2], using the same unit two-point normalization and sign convention. They also lie inside the earlier bootstrap estimates $1.0518537(41)$ and $1.532435(19)$ in equations (3.4) and (3.5) of [3]; this is a consistency comparison within the bootstrap method. These comparisons establish agreement at the precision of the older determinations, not independent confirmation of every new digit.
The checks include known interval controls and deliberately incorrect centres and radii, finite positive widths, the complete spin-flip selection among triples of $\sigma$ and $\epsilon$, all insertion permutations, sign changes of both operators, and the dilation and inversion weights of the three-point formula. The same checks are run on values read back from the draft, in addition to Generator.verify(sample=None).