What kind of data does a model need in order to learn? Coreset selection makes this question concrete: under a budget, keep the samples most useful for training. Easy-first and geometric coverage criteria can win in different budget regimes, separated by a crossover boundary. We ask whether this boundary is fixed by th...
The introduction of TraceCAD, a recovery layer that links requested features, modeling steps, failure evidence, and candidate outcomes as persistent state, demonstrates that persistent, localized, and reusable recovery improves final CAD quality and repair reliability.
Fengxiao Fan, Jingzhe Ni, F. Sang et al.· 0 citations
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