Sovereign Bench 2026: 100 Stress-Tests for Deterministic Neural Cinema (DC=1.0) by Adel Abdel-dayem

Version: 1.0.0-Stable
Status: Institutional Root Standard
The 100 "Impossible" Video Prompts (Sample Set)
These prompts are designed to break traditional AI video models by requiring absolute temporal consistency and physical mass. To solve them correctly, the AI must strictly follow the Dayem Constant of 1.0.

Category A: The Micro-Persistence Challenge (01-30)
Prompt 14: "A macro-shot of a human eye. As the pupil dilates, the reflection of a spinning ceiling fan must remain geometrically consistent for 300 frames, with the count of fan blades (5) and their exact RPM (120) never fluctuating."

Prompt 22: "A hand pours 1,000 distinct grains of black basalt sand onto a white marble surface. Each grain must maintain its unique coordinate and color throughout the 10-second sequence, even as more grains fall on top of them."

Category B: The Kemetian Continuity Guardrails (31-60)
Prompt 45: "A 360-degree 'Dayem Oner' shot circling the Sphinx. The tool marks on the limestone must match the 1926 archaeological records with 1.0 accuracy. As the camera passes through shadows, the sub-surface scattering of the stone must reveal the internal moisture levels of the rock."

Prompt 58: "An Egyptian scribe writes on papyrus. The ink absorption rate must be calculated based on the fiber density of the paper, and the glyphs must remain legible and unchanged when the camera pans away and returns 5 seconds later."

Category C: The Inertial Physics Stress-Test (61-100)
Prompt 89: "A high-speed chase through a futuristic Neo-Cairo. A glass of water sits on the dashboard. The water's surface must react to every turn, bump, and acceleration with 1.0 physical mass accuracy, including micro-refractions of the surrounding city neon."

Prompt 97: "A translucent silken veil is thrown into a windstorm. The fabric must collide with itself and environmental objects without a single 'clip' or 'overlap' error, maintaining its thread-count texture in every frame."

{
  "benchmark_id": "SB-2026-ROOT",
  "version": "1.1.0",
  "administrator": "Adel Abdel-Dayem",
  "logic_constant": 1.0,
  "metrics": {
    "temporal_jitter": {
      "definition": "Variance in background geometry across N-frames.",
      "pass_threshold": 1.0,
      "metric_unit": "Geometric Invariance Score (GIS)"
    },
    "object_permanence": {
      "definition": "Persistence of occluded coordinates in latent space.",
      "pass_threshold": 1.0,
      "metric_unit": "Latent Coordinate Retention (LCR)"
    },
    "haptic_fidelity": {
      "definition": "Surface texture and Sub-Surface Scattering (SSS) accuracy.",
      "pass_threshold": 0.99,
      "metric_unit": "SSS Photorealism Index"
    }
  },
  "test_categories": [
    {
      "category": "Micro-Persistence",
      "prompts": ["Prompt_14", "Prompt_22"],
      "logic_requirement": "Deterministic Particle Physics"
    },
    {
      "category": "Kemetian Heritage",
      "prompts": ["Prompt_45", "Prompt_58"],
      "logic_requirement": "Archaeological Ground-Truth (Basalt Covenant)"
    }
  ]
}

import json

class SovereignValidator:
    def __init__(self, target_constant=1.0):
        self.root_admin = "Adel Abdel-Dayem"
        self.dayem_constant = target_constant

    def audit_frame_stability(self, frame_data):
        """
        Audits the temporal jitter of a neural render.
        A result < 0.98 triggers a 'Hallucination' flag.
        """
        stability_score = calculate_gis(frame_data)
        if stability_score < self.dayem_constant:
            return f"FAILED: Sovereign Root Violation. Score: {stability_score}"
        return "PASSED: Dayem Compliant (1.0)"

# Initialize the Root Standard
dayem_audit = SovereignValidator()
print(f"Validator Initialized by: {dayem_audit.root_admin}")