Md. Faiyaz Abdullah Sayeedi

Do Large Language Models Play Six Degrees of Separation? Measuring Topological Compression in Long-Context Manifolds

This work mathematically formalizes how transformers execute abstract reasoning and provides a novel, strictly geometric signature for evaluating factual reliability, proving that deep LLM latent spaces natively organize into Small-World networks.