I found it interesting how intermediate confidence signals influence downstream integration quality across multiple attributes.
One question I had was whether lightweight post-processing after score generation has been explored when borderline matches accumulate across heterogeneous fields. Conceptually, small score calibration at that stage seems capable of improving consistency without changing earlier components.
I found it interesting how intermediate confidence signals influence downstream integration quality across multiple attributes.
One question I had was whether lightweight post-processing after score generation has been explored when borderline matches accumulate across heterogeneous fields. Conceptually, small score calibration at that stage seems capable of improving consistency without changing earlier components.