Simulation Boundary Research (SBR), Volume I: From Computational Boundaries to Falsifiable Structural Fingerprints
Volume I of Simulation Boundary Research (SBR) develops a methodological framework for converting structural constraints in bounded computational systems into stable, falsifiable scientific objects that can later be tested empirically. The volume constructs a seven-family boundary taxonomy (B1–B7), eleven mechanism specifications (WC1-M-001–WC1-M-011), and eleven corresponding frozen structural fingerprints (FP-001–FP-011). Each fingerprint preserves its mechanism ancestry, observability class, formal structural meaning, assumptions, proxy logic, non-support and falsification conditions, masking constraints, and interpretation ceiling. The framework also establishes stage separation, adversarial review, cooling, freeze, version-control and provenance requirements intended to prevent later empirical results from retrospectively redefining the scientific targets. Volume I is deliberately upstream and methodological. It does not report physical-domain empirical results and does not claim that the universe is simulated. Computational and simulation-related ideas provide the motivating research context, while the scientific contribution is the construction of fixed, traceable and falsifiable structural objects. The frozen fingerprints developed here are subsequently operationalized in selected physical domains in SBR Volume II. Volume III then examines whether the resulting heterogeneous empirical records support any defensible cross-domain common structure. This work is independent private research conducted with extensive AI-assisted research support under the final scientific and authorial responsibility of Thomas Johannes Schultheiss.
Authors
- Thomas Johannes Schultheiss (ORCID: https://orcid.org/0009-0009-3969-8040)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-25
- DOI
- https://doi.org/10.5281/zenodo.22959084
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00