Minor fixes

README.md

@@ -55,7 +55,7 @@ increasingly costly hand-engineered features. The Skala-1.1 functional
 surpasses state-of-the-art hybrid functionals in accuracy across the
 main-group chemistry benchmark set GMTKN55, which covers general
 main-group thermochemistry, kinetics, and noncovalent interactions, with
-an error of 2.72 kcal/mol, while retaining the lower computational cost
+an error of 2.8 kcal/mol, while retaining the lower computational cost
 characteristic of semi-local DFT. With this work, we demonstrate the
 viability of our approach toward the universal density functional across
 all of chemistry.
@@ -288,7 +288,7 @@ We have evaluated our functional on several different benchmark sets:
     MOBH35 from [Semidalas et al. 2022][semidalas2022],
     3dTMV from [Neugebauer et al. 2023][neugebauer2023],
     CuAgAu83 from [Chan 2019][chan2019],
-    DAPd from [Chan et al. 2020][dapd2020],
+    DAPd from [Chan et al. 2023][chan2023],
     3d4dIPSS, TMB11, and TMD10 from [Liang et al. 2025][liang2025]
 3.  GMTKN55. A diverse and highly accurate dataset of general main-group
     thermochemistry, kinetics, and noncovalent
@@ -364,7 +364,7 @@ The metrics for the different benchmark sets are:
 On W4-17, the Skala-1.1 functional predicts atomization energies at
 chemical accuracy (~1 kcal/mol MAE). On GMTKN55, which covers general
 main-group thermochemistry, kinetics, and noncovalent interactions, it
-achieves a WTMAD-2 of 2.72 kcal/mol, surpassing state-of-the-art
+achieves a WTMAD-2 of 2.8 kcal/mol, surpassing state-of-the-art
 range-separated hybrid functionals while only requiring runtimes typical
 of semi-local DFT.