I am working on a model that requires a specific type of "Selection Bias" in the rule evolution, and I am looking for guidance on how to represent this using WolframModel or MultiwaySystem.

The Theoretical Goal: I am trying to simulate a "stabilization" phase where the system transitions from a high-entropy state (random fluctuations) to a structured state (durable causal loops). I hypothesize that this requires a Parity-Breaking Bias (which I call "The Twist") that weights the path integral.

The Mechanism I Want to Model: Instead of all branches in the Multiway System having equal weight, I want to penalize branches that are "topologically symmetric" and reward branches that exhibit a specific "Chiral Asymmetry" (Twist).

Hypothesis: This bias should force the Causal Graph to "lock" into durable subgraphs (particles/structures) rather than exploring the full infinite Ruliad.

The Question: Is there a standard way in WolframModel to apply a "Selection Function" or "Path Weight" that prunes the Multiway Graph based on the topological properties of the hypergraph at that step?

Context: This is part of a larger framework ("Universal Compression") linking causal graph dynamics to observer constraints.

System Architecture (Preprint): https://doi.org/10.5281/zenodo.18421925

Specific Cosmological Derivation: https://doi.org/10.5281/zenodo.18421691

Any pointers on how to implement a "Selection Bias" function in the evolution step would be appreciated.