The Digital Root Fingerprint of the Quran — Paper III: System-Independent Validation via Special-6 Binary Encoding

Key Points

• This research aims to validate the digital root fingerprint of the Quran by using an independent binary encoding system.
• Introduced Special-6 binary encoding for Arabic letters.
• Analyzed 114 surahs of the Quran for digital root patterns.
• Compared findings with three classical Arabic control texts.
• Conducted statistical analyses using 10,000 permutations.
• Involved six AI models to assess alternative explanations.
• Quran exhibited a significant bias toward digital roots of {3,6,9} (44.7%, p = 0.007).
• Control texts showed no significant digital root patterns (p = 0.389, p = 0.606, p = 0.707).
• Traditional Abjad system also showed no significance (p = 0.817).
• AI models could not provide viable alternative explanations for the results.