  We describe enhancements to the digest2 software, a short-arc orbit
classifier for heliocentric orbits. Digest2 is primarily used by the Near-Earth
Object (NEO) community to flag newly discovered objects for a immediate
follow-up and has been a part of NEO discovery process for more than 15 years.
We have updated the solar system population model used to weight the digest2
score according to the 2023 catalog of known solar system orbits and extended
the list of mean uncertainties for 140 observatory codes. Moreover, we have
added Astrometry Data Exchange Standard (ADES) input format support to digest2,
which provides additional information for the astrometry, such as positional
uncertainties for each detection. The digest2 code was also extended to read
the roving observer astrometric format as well as the ability to compute a new
parameter from the provided astrometric uncertainties ($RMS'$) that can serve
as an indicator of in-tracklet curvature when compared with tracklet's
great-circle fit RMS. Comparison with the previous version of digest2 confirmed
the improvement in accuracy of NEO identification and found that using ADES XML
input significantly reduces the computation time of the digest2.
