SLFM — System-Level Failure Model (IP Restricted Component)

Submitted by Endarr Carlton… on

 

SLFM — System-Level Failure Model is the NashMarkAI subsystem within Sansana responsible for diagnosing full-system breakdown, structural collapse and persistent non-equilibrium states. It ingests cascades, enforcement vectors, systemic-risk indices and governance signals to classify whether a system remains recoverable, requires major structural intervention, or has entered a terminal failure regime.

IP–Restricted Component (NashMarkAI / Truthvenarian Jurisdiction)

All failure-regime classifiers, structural-collapse tensors, phase-transition operators, and recovery-feasibility algorithms are proprietary. Only the public mathematical shell and pseudocode scaffolding are disclosed.

No rights are granted to reconstruct or approximate internal SLFM logic from this page.

1. System Role

  • Evaluates whether a system remains recoverable under Eq(𝓢) or has structurally failed.
  • Integrates inputs from BCE, EEE, SRAIGS and Sansana / PHM.
  • Classifies failure regimes (e.g. recoverable, critical, terminal).
  • Generates guidance for structural redesign, shutdown, or external intervention.
  • Acts as the highest-level diagnostic layer in the Sansana governance stack.

2. Public Mathematical Shell

$ F_t = \Sigma\!\big(C_t, E_t, R_t, \gamma_t, \varphi_t\big) $

  • $ F_t $ — system-level failure index at time $ t $.
  • $ C_t $ — cascade index (BCE).
  • $ E_t $ — enforcement vector (EEE).
  • $ R_t $ — systemic-risk index (SRAIGS).
  • $ \gamma_t $ — governance-threat signal (SRAIGS).
  • $ \varphi_t $ — proportionality constraints (Sansana / PHM).
  • $ \Sigma(\cdot) $ — proprietary failure-index operator (withheld).

3. Failure-Regime Classification Shell

$ \rho_t = \mathcal{C}(F_t, X_t) $

  • $ \rho_t $ — failure-regime class (e.g. 0 = stable, 1 = stressed, 2 = critical, 3 = terminal).
  • $ X_t $ — current system state vector.
  • $ \mathcal{C}(\cdot) $ — proprietary classification operator (withheld).

4. Integration Contract

ChannelSymbolDescription
Input$ C_t $Cascade index from BCE.
Input$ E_t $Enforcement vector from EEE.
Input$ R_t $Systemic-risk index from SRAIGS.
Input$ \gamma_t $Governance-threat / escalation signal from SRAIGS.
Input$ \varphi_t $Proportionality constraints from Sansana / PHM.
Input$ X_t $Current system state vector.
Output$ F_t $System-level failure index.
Output$ \rho_t $Failure-regime classification code.
Output$ \Lambda_t $SLFM advisory packet (shutdown, redesign, escalation) to governance layer.

5. Public Pseudocode Shell


def slfm_system_failure(cascade, enforcement, systemic_risk, governance_threat, proportionality, state):
    """
    Public shell — full SLFM logic withheld.
    """

    # 1. Compute system-level failure index
    failure_index = compute_failure_index(
        cascade,
        enforcement,
        systemic_risk,
        governance_threat,
        proportionality
    )  # redacted

    # 2. Classify failure regime
    regime = classify_failure_regime(failure_index, state)  # redacted

    # 3. Build advisory packet for governance / structural intervention
    advisory = build_slfm_advisory(failure_index, regime)  # redacted

    return failure_index, regime, advisory

6. Deployment Notes

  • Acts as the terminal diagnostic layer in the Sansana governance stack.
  • Determines when systems can be restored versus when structural redesign or shutdown is required.
  • Operates only after BCE, EEE and SRAIGS have produced stable indices.
  • Used in high-stakes legal cases, institutional governance reviews and ecological / infrastructure oversight.
  • Runs behind sealed diagnostic isolation layers with no exposure of internal operators.

© 2025 Truthfarian · SLFM — System-Level Failure Model · IP-Restricted Component