Simulation Analytics & Cross-Model Metrics
IMPORTANT
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Status Boundary
SIMULATION BOUNDARY
The computations displayed on this page represent a Simulation Candidate (M4-SIMULATION classification). This is an algorithmic execution stress-test of internal mathematical invariants.
DO NOT interpret this output as empirical confirmation or formal theorem proof. The environment is strictly a computational model.
Analytics Boundary
INTERPRETATION BOUNDARY
Any metrics or timeseries data derived from this simulation are strictly confined to the defined parameter space and cannot be generalized to physical reality without corresponding formalization and review (S5 classification).
Purpose
To unify all simulation outputs under one analytics layer so prototype models become mathematically comparable.
Simulation Coverage
This dashboard currently ingests telemetry from:
recursive-observer-knot-caclosure-field-dynamicskp-field-propagationrecursive-intelligence-network
Diagnostic Health
Common Metric Ontology
The cross-model matrix uses an abstraction ontology to map disparate state variables into standard bounds.
Ontology Coverage
Cross-Model Matrix
Cross-Model Matrix
| Simulation Target | Class | Runs | Diagnostic Status | Violations | Available Telemetry |
|---|---|---|---|---|---|
| closure_field_default | Unknown | 1 | stable | 0 | connectivity, final_mean_density, final_closure_score |
| closure_field_stress | Unknown | 1 | stable | 0 | final_mean_density, final_closure_score |
| kp-field-propagation | Field | 2 | bounded failure | 1 | mean_amplitude, mean_phase, resonance_count, instability_count, coupling_energy, damping_loss, boundary_support_ratio |
| kp_field_propagation_default | Unknown | 1 | stable | 0 | None |
| kp_field_propagation_stress | Unknown | 1 | stable | 0 | None |
| recursive-intelligence-network | RecursiveSystem | 2 | bounded failure | 2 | network_coherence, signal_retention, feedback_density, knowledge_accumulation, continuation_ratio |
| recursive_observer_knot_ca_default | Unknown | 1 | stable | 0 | None |
| recursive_observer_knot_ca_stress | Unknown | 1 | stable | 0 | None |
| trace_reciprocity_default | Unknown | 1 | stable | 0 | None |
| trace_reciprocity_stress | Unknown | 1 | stable | 0 | None |
Interpretation Limits
The absence of violations in a simulation run indicates structural stability within the programmed bounds, not proof of the underlying hypothesis.
Next Simulation Work
With the analytics engine canonicalized, the mathematical layer is prepared for the Formalization ↔ Simulation Bridge.
Formalization-to-Simulation Pathway
For a diagnostic correspondence map tracing mathematical artifacts to bounded simulation coverage, see the Formalization ? Simulation Bridge.