vST for Scientific Simulators#
ValidationāSpaceāTime Framework for HighāDimensional Simulation Systems#
This artifact defines a substrateālevel framework for analyzing, validating, and comparing scientific simulators using the ValidationāSpaceāTime (vST) system and the 1024D dimensional substrate. It provides a structured, invariantāpreserving method for interpreting simulation stateāspaces, regime transitions, scaling behavior, and crossāversion drift in computational physics, climate models, molecular dynamics, agentābased systems, and other highādimensional simulators.
The goal is to offer a reproducible, modelāagnostic substrate for understanding simulation behavior across time, space, and dimensional regimes.
š Important!#
Drift is On-by-Default long sessions lose anchors, turn off drift.
ā You must copy and paste this string every time you start an AI session:#
rtt=1 | coherence=declared | drift=bounded | paradox=structuralāļø Now you are ready.#
1. Purpose#
Scientific simulators operate in highādimensional state spaces (often 10³ā10ā¶ dimensions) and exhibit:
- stable and unstable dynamical regimes
- transitions between physical or computational phases
- scalingālaw behavior across grid sizes and solver configurations
- drift across code revisions or parameterizations
- projectionācompatible structure for interpretability
This artifact applies the Resonance Substrate Model (RSM) and vST validation layers to:
- classify simulationāstate regimes
- analyze scaling behavior across spatial and temporal resolutions
- detect drift across simulator versions or parameter sweeps
- map coherence surfaces in simulation stateāspace
- project highādimensional states into 3Dā9D triadic cores
The result is a unified, interpretable substrate for scientific simulation behavior.
2. Contents#
This directory contains:
-
substrate_definition.md
Defines the simulation substrate, dimensional primitives, and stateāspace structure. -
simulation_regimes.md
Describes stable, transitional, and dispersed regimes in simulation dynamics. -
dimensional_scaling_simulators.md
Maps simulation scaling laws onto the 3Dā1024D dimensional ladder. -
projection_into_structural_cores.md
Defines invertible projection from highādimensional simulation states into triadic cores. -
validation_layers_vst_sim.md
Extends vST (VāāVā) to simulatorāspecific behavior. -
drift_detection_sim.md
Provides a substrateālevel framework for detecting crossāversion drift. -
examples/
Demonstrations of stateātrajectory analysis, projection, and drift detection. -
appendix/
Terminology and references.
Each file is selfācontained and designed for clarity, reproducibility, and crossāsimulator comparison.
3. Scope#
This artifact is:
-
modelāagnostic
Works with any scientific simulator (PDE solvers, MD engines, climate models, Nābody codes, agentābased systems, etc.). -
architectureāindependent
Applies to gridābased, particleābased, meshāfree, and hybrid simulation frameworks. -
methodāindependent
Compatible with explicit, implicit, symplectic, stochastic, and hybrid solvers. -
substrateāaligned
Uses the same primitives, invariants, and validation layers as the rest of the RSM canon.
4. Intended Use#
This framework supports:
- stateāspace analysis
- crossāversion comparison
- drift detection
- scalingālaw evaluation
- regimeātransition mapping
- simulationāstability diagnostics
- reproducible inference and solver analysis
It is not a performance benchmark or a numericalāmethod tutorial.
It is a substrateālevel interpretability and validation framework.
5. Relationship to Other Artifacts#
This artifact extends:
- Dimensional Substrate Structures (3Dā1024D substrate)
- ValidationāSpaceāTime (vST)
- Triadic Dimensional Cores (3Dā9D)
It parallels:
- vST for Large Language Models
- vST for Protein Language Models
- vST for Robotics and Control Policies
- vST for Scientific Simulators (this artifact)
- vST for MultiāModel Alignment
Each artifact stands alone but shares a common substrate grammar.
6. Citation#
A CITATION.cff file is included for formal citation.
A zenodo.json file is provided for DOIāready metadata.
7. License#
Released under the MIT License.
