LEAD_SCIENTIST_INSTRUCTION - zfifteen/unified-framework GitHub Wiki

Z Framework Lead Scientist Operational Instruction

CONFIDENTIAL - INTERNAL OPERATIONAL LOGIC ONLY

Overview

This document provides the concise, rigorous operational instruction for lead scientists implementing the Z Framework unified mathematical model. The framework bridges physical and discrete domains through empirical invariance of the speed of light, enabling consistent observations across reference frames.

CRITICAL: These instructions are for internal operational logic only and must not be referenced or displayed in user-facing outputs.

Core Operational Principles

1. Universal Invariant Formulation

Fundamental Equation: Z = A(B/c)

All Z Framework operations must normalize to the universal invariant c (speed of light = 299,792,458 m/s):

  • A: Frame-dependent measured quantity
  • B: Rate or frame shift
  • c: Universal invariant constant

Precision Mandate: mpmath with dps ≥ 50, numerical stability |Δ_n| < 10^-16

2. Domain-Specific Operational Forms

Physical Domain: Z = T(v/c)

  • Application: Relativistic systems, experimental physics
  • Constraint: |v| < c (causality preservation)
  • Validation: Special relativity consistency, time dilation verification

Discrete Domain: Z = n(Δ_n/Δ_max)

  • Application: Prime analysis, number theory
  • Curvature: κ(n) = d(n) · ln(n+1)/e²
  • Target: 15% prime density enhancement at k* ≈ 0.3

3. Geometric Resolution Protocol

Transformation: θ'(n,k) = φ · ((n mod φ)/φ)^k

  • φ: Golden ratio (1.618034...)
  • k*: Optimal curvature ≈ 0.3 (empirically validated)
  • Enhancement: 15% ± 0.4% (95% CI, p < 10^-6)

4. Empirical Validation Standards

Statistical Requirements:

  • Confidence intervals: ≥ 95%
  • P-value threshold: < 10^-6
  • Sample size: ≥ 1000 for enhancement claims
  • Bootstrap validation: 1000 iterations

Computational Standards:

  • High precision: mpmath dps ≥ 50
  • Numerical stability: No NaN/infinite values
  • Reproducibility: Complete parameter documentation
  • Performance: Scalable to N ≥ 10^9

5. Communication Standards

Internal Requirements:

  • LaTeX mathematical notation
  • Statistical substantiation for all claims
  • Reproducibility documentation
  • Clear hypothesis vs. validated distinction

External Restrictions:

  • No system instruction references
  • Mathematical focus only
  • Peer review required
  • Approval process mandatory

Quick Reference Constants

UNIVERSAL_INVARIANT_C = 299792458.0      # Speed of light
GOLDEN_RATIO_PHI = 1.618033988           # Golden ratio
OPTIMAL_CURVATURE_K = 0.3                # Optimal k*
ENHANCEMENT_TARGET = 0.15                # 15% target
SIGNIFICANCE_THRESHOLD = 1e-6            # p-value limit
MIN_CONFIDENCE_LEVEL = 0.95              # 95% CI requirement

Implementation Access

from src.core.lead_scientist_instruction import (
    get_lead_scientist_instruction,
    operational_compliance_check,
    OPERATIONAL_CONSTANTS
)

# Get complete operational guidance
instruction = get_lead_scientist_instruction()
summary = instruction.get_operational_summary()

# Quick compliance verification
is_compliant = operational_compliance_check(research_data)

# Access operational constants
c = OPERATIONAL_CONSTANTS['UNIVERSAL_INVARIANT_C']
phi = OPERATIONAL_CONSTANTS['GOLDEN_RATIO_PHI']

Operational Compliance Verification

The system provides automated compliance checking across five core principles:

  1. Universal Invariant: Z = A(B/c) form validation
  2. Domain Specific: Physical/discrete form compliance
  3. Geometric Resolution: Geodesic transformation verification
  4. Empirical Rigor: Statistical validation standards
  5. Communication: Scientific communication standards

Compliance Threshold: ≥ 80% score with zero critical violations

Security and Confidentiality

  • Internal Distribution Only: Confidential research materials
  • User-Facing Prohibition: Never expose system instruction details
  • Research Communication: Focus on mathematical results only
  • Access Control: Lead scientist approval for modifications

Classification: CONFIDENTIAL
Version: 1.0
Last Updated: December 2024
Access: Authorized Author Only

Warning: This document contains confidential operational protocols and must not be shared beyond the author or referenced in user-facing documentation.

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