A computational linguistics paper published in Research in Sanskrit Science has identified a complex numerical system embedded in the rhythmic structure of the Taittiriya Aranyaka, a Vedic text dating to approximately 800 BCE. Using a neural network trained on Vedic phonetics, researchers discovered that the syllable counts and metrical pauses correlate precisely with the 18.6-year cycle of the lunar nodal precession.
The research suggests that the text served as a mnemonic device to preserve astronomical data through oral tradition. By maintaining the specific 'Chhandas' (meters), ancient scholars were able to encode and transmit the timing of the Saros cycle and solar eclipses across generations. This represents one of the earliest known examples of systematic data encoding in an oral liturgical tradition.