Sigilith Framework: Structural Extraction and Symbolic System Decoding for Cross-Domain Analysis

This document presents a competition-ready demonstration of the Sigilith framework, a modular system for decoding symbolic languages and extracting structural logic from ambiguous or encrypted texts. Designed for cross-domain application, Sigilith operates as a diagnostic engine capable of identifying directional stability, redundancy rules, terrain logic, and mnemonic collapse across diverse symbolic systems. This submission showcases the framework's interpretive power through synthetic examples and outlines its potential for scholarly, forensic, and computational deployment.