In Fig. , we revisit the dissociation curve of BH to test MLS2 as the bond stretches and include additional methods beyond those shown in Fig. ). Unsurprisingly, MP2 (magenta curve) fails to capture the correct physics of BH bond stretching due to the divergence of its correlation energies when the HOMO-LUMO orbital gap closes (Eq. 6). κMP2 (blue curve; Eq. 8) eliminates this divergence, but its energies are much higher than the exact ones when the bond stretches. In contrast, MLS2 is more accurate than κMP2 not only when the unseen BH bond stretches but also at equilibrium (see also Fig. in the SI for training results of N 2 and H 2 bond stretches). This demonstrates the power of MLS2 to successfully dissociate covalent bonds without breaking spin symmetries-a crucial challenge for quantum chemistry methods . In MLS2, this is achieved by first employing κMP2 to eliminate the divergence present in MP2, followed by real-space NN-based enhancements of its spin-resolved energy densities (Eq. 11). Revisiting Fig. (e, top) with the formic acid dimer interaction energy curve, we test the performance of MLS2 for hydrogen-bonded systems. The formic acid dimer is selected because of its two hydrogen bonds with a strong electrostatic component, making it a system that starkly contrasts the dispersion-bonded RG18 systems on which MLS2 was trained. Overall, MP2 overbinds the formic acid dimer, with κMP2 overbinding even more, while MLS2 outperforms both in predicting the dimer's interaction energies.