We present "Viveka Patha," a novel pre-generation intervention for Large Language Models that utilizes a Directed Acyclic Graph (DAG) to cross-reference every candidate output token against a hard-coded truth repository (Satya Kosha). Unlike probabilistic post-generation filters like RAG or RLHF, this system creates a deterministic barrier against hallucinations at the sampling layer. Tested on an NVIDIA RTX 4050 (6GB VRAM), we achieve a 93.3% mathematical accuracy and a 100% block rate against adversarial prompting, demonstrating that absolute truth alignment is computationally viable on consumer-grade hardware.
Amit Raj Sharma (2026) studied this question.