Quantifying the Occult: A Comparative Study of Hindu and Buddhist Deities Using Machine Learning Methods

arXiv:2609.27074 · cs.CY, cs.LG · Submitted 2026-09-22 · Read on arXiv

cs.CY, cs.LG

Submitted: 2026-09-22

Updated: 2026-09-22

Code: https://github.com/SrabonGitikar/Tantra-ML

Terminology

Core — 22× in this paper · explained in 2 episodes
Embeddings — 12× in this paper · explained in 2 episodes
Abundance — 4× in this paper · explained in 1 episode
Clustering — 4× in this paper · explained in 2 episodes
Large Language Model — 4× in this paper
Archetype — 3× in this paper · explained in 1 episode
Natural Language Processing — 3× in this paper
Accuracy — 2× in this paper · explained in 1 episode
Cosine Similarity — 2× in this paper · explained in 3 episodes
Feature Engineering — 2× in this paper · explained in 3 episodes
Generative Model — 2× in this paper · explained in 2 episodes
Scaffolding — 2× in this paper · explained in 3 episodes
Transformer — 2× in this paper · explained in 2 episodes
Uniform Manifold Approximation and Projection — 2× in this paper
Abstraction — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Benchmark — 1× in this paper · explained in 2 episodes
Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
Few-Shot Learning — 1× in this paper · explained in 4 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Hallucination — 1× in this paper · explained in 3 episodes
Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
Trace — 1× in this paper · explained in 2 episodes

Terminology

Related papers