Observation of a rare beta decay of the charmed baryon with a Graph Neural Network.

The beta decay of the lightest charmed baryon provides unique insights into the fundamental mechanism of strong and electro-weak interactions, serving as a testbed for investigating non-perturbative quantum chromodynamics and constraining the Cabibbo-Kobayashi-Maskawa (CKM) matrix parameters. This article presents the first observation of the Cabibbo-suppressed decay , utilizing 4.5 fb of electron-positron annihilation data collected with the BESIII detector. A novel Graph Neural Network based technique effectively separates signals from dominant backgrounds, notably , achieving a statistical significance exceeding 10σ. The absolute branching fraction is measured to be (3.57 ± 0.34 ± 0.14) × 10. For the first time, the CKM matrix element is extracted via a charmed baryon decay as . This work highlights a new approach to further understand fundamental interactions in the charmed baryon sector, and showcases the power of modern machine learning techniques in experimental high-energy physics.