Using the distance estimation method outlined in J. L. Carlin et al., a Bayesian approach specifically tailored for LAMOST data, we estimated distances for 7,450,303 spectra from 5,394,174 unique stars in the LAMOST DR10 low-resolution data set. To accommodate the significant increase in data volume and quality in LAMOST DR10, several improvements were applied to the method in J. L. Carlin et al.: utilizing denser isochrones, increasing the density of interpolated isochrone grids, and incorporating Gaia G-band magnitudes alongside Two Micron All Sky Survey K-band magnitudes for more comprehensive distance estimates. A comparison with Gaia parallaxes shows good consistency across the data. For parallaxes below 1mas, the estimated distances are underestimated by 4% for the K band and 10% for the G band, while for parallaxes below 0.25mas, the distances are overestimated by 9% for the K band and 7% for the G band. Distance uncertainties initially increase with distance, with relative distance uncertainties starting at 5% at 1kpc and rising to 17% at 20kpc, then decreasing to 10%-15% for distances greater than 50kpc. The number of stars with distances between 5 and 10kpc is ~1.8x10^5^, and ~6x10^4^ for distances greater than 10kpc.

Cone search capability for table J/AJ/169/266/obs (Observations and derived quantities (table target from CDS and table2 from paper))