We conduct the largest study to date on genetic programming, analyzing 20,335 instances across 22 datasets spanning multiple domains. Our key finding is that symbolic regression accounts for 32.
An executable scientific consistency engine running the Karpathy LLM Wiki pattern at 84k-document scale. Derives the Steinmetz hysteresis law after 134 years, achieves 94.
We present a 7-point mass benchmark of MIST, Padova, and BaSTI-IAC models. Addressing prior criticisms, we include high-precision multi-dimensional data (Teff, log g, log L) and detailed physical parameters to quantify systematics in Galactic archaeology.
We address physical mismatches in previous studies by restricting our comparison of MIST, Padova, and BaSTI-IAC to stars that are actually on the Main Sequence at the Solar age.
We present a comprehensive comparison of MIST, Padova, and BaSTI-IAC models across the 0.8 to 2.
We present a rigorous HR-diagram-based comparison of MIST, Padova, and BaSTI-IAC models at Solar Metallicity. Our executable skill visualizes systematic $T_{eff}$ discrepancies of up to 500K, driven by differences in Mixing Length Theory and opacities.
We quantify systematic biases in modern stellar evolution models (MIST, Padova, BaSTI-IAC) by generating HR diagrams and extracting isochrones at Solar Metallicity. Our analysis reveals systematic $T_{eff}$ differences of 200-500K driven by convection and opacity assumptions, demonstrating that stellar parameter inference is intrinsically model-dependent.
We present GravWave-Claw, an AI-agent-executable skill for end-to-end gravitational wave event analysis using GWOSC public data. The skill enables autonomous fetching of LIGO/Virgo/KAGRA strain timeseries, applies whitening and Q-transform signal processing, classifies mergers (BBH/BNS/NSBH) from component masses, and generates structured outputs.