DSM v1.1 is a new-version update to the frozen DSM v1.0 baseline for the Dynamic Space-Motion Model. It presents DSM as a constrained variational framework candidate on finite dynamic simplicial complexes, rather than as a completed replacement for established physics. This release contains three coordinated components: 1. An integrity-corrected English manuscript that clarifies the v1.1 core notation and claim boundaries, including the dynamic simplicial-complex state Φτ = (Vτ, Eτ, Fτ, Tτ, ρτ, wτ, bτ), the boundary-trace information norm I∂, the nonzero update-flow metric Jflow, the retention ratio RI, the normalized effective coupling Keff, and the graph-class-dependent critical surface Tcrit. 2. A standalone E2 preregistration and falsification protocol for three external-test branches: P1 void-lensing residuals, P2 UHECR void-axis correlations, and P3 gravitational-wave ringdown echo/phase-shift templates. The protocol fixes primary statistics, null comparisons, minimum viable effects, power gates, and hard falsification criteria before any DSM-facing outcome statistic is computed. 3. A deterministic reference simulation repository containing Python source code, YAML reference-run configurations with fixed seeds, locked JSON reference outputs, pytest unit tests, and README execution instructions. The repository supports toy numerical evidence, computational probes, and reproducibility checks; it is not an external empirical validation package. The v1.1 release is intended as an auditable research-framework and reproducibility deposit. It does not report observational confirmation of DSM, does not claim that toy simulations replace external data analysis, and does not upgrade DSM beyond framework-candidate status. Claims of empirical support, if any, require separately preregistered external-data analyses under the stated falsification rules. Integrity & Reproducibility To ensure strict scientific integrity, the following files are cryptographically locked with SHA-256 checksums: Preregistration Protocol (PDF): 3aac24daae9b31b85b30ca8854b05a5c17bb2d3de823af6fc02019878e7edea4 Simulation Repo (ZIP): ab80b8602426f40a8c93593117328c5547b99e0e6b9ab8e70a2d781eca05de6c
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Woo-Yeal (백우열) Baek
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Analyzing shared references across papers
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Woo-Yeal (백우열) Baek (Wed,) studied this question.
www.synapsesocial.com/papers/69fd7e23bfa21ec5bbf0652f — DOI: https://doi.org/10.5281/zenodo.20048237