Snowflake Evolution Lab v1.0.1

Mechanism visualization patch

• Rebuilds all five deterministic colony-recognition seeds across every published transfer stage.
• Makes intact chitinous tree junctions, one severed junction, detached subtrees, and non-adhesive steric retention visually distinct.
• Derives the packing cue and fracture stress test from the displayed geometry instead of decorative markers.
• Adds explicit scientific boundaries and a 195-state interface audit.

The frozen v0.1 and v1.0 studies, source data, reports, and numerical conclusions are unchanged. Topology, local load, fracture location, and retained contacts remain explanatory model output—not microscopy or new biological observations.

Validation: 18 tests, Python 3.10–3.13 CI, research-registry reproduction, dependency audit, CodeQL, package build, desktop QA, and 390 px mobile QA.

Snowflake Evolution Lab v1.0.0

Stable, reproducible research-product release.\n\nThe v1.0 study separates two questions. Engineered tetraploidy increased 24-hour cluster radius in both PA and PM backgrounds (exact one-sided p = 1/70 in each; Holm-adjusted p = 0.0286). In the longitudinal evidence, all evolved PA and PM observations were approximately tetraploid, yet mean PA radius was 8.859 times mean PM radius at transfer 1,000. Genome duplication helps, but is not sufficient for the later macroscopic phenotype.\n\nThis release adds hash-verified source import, replicate-level exact inference, deterministic uncertainty intervals, chromosome-copy and longitudinal evidence, a release audit, and an accessible interactive genome explorer. It preserves the historical frozen v0.1 morphology study unchanged.\n\nBoundary: this is a reanalysis of source-author data, not an independent wet-lab replication. The selected tables do not contain a joined quantitative time-resolved entanglement endpoint, so no coupled threshold is claimed.\n\nValidation: Python 3.10–3.13, CodeQL, dependency security, 18 tests with 97.85% coverage, static typing, package builds, deterministic artifact regeneration, and desktop/mobile browser checks.

Snowflake Evolution Lab v0.1.1

Evolution chamber upgrade

• Five deterministic, visually distinct lineage topologies replace the shared radial template.
• Published mean radius and cell aspect ratio remain the only empirical animation drivers.
• New colony, packing, and fracture views explain the mechanism proposed by Bozdag et al. (2023).
• Interpolation, missing measurements, topology, contacts, fractures, and normalized cues are labelled at the point of use.
• A complete animation-model specification documents every equation and scientific boundary.
• Responsive controls and reduced-motion behavior were verified on desktop and mobile.

Validation

All CI, CodeQL, security audit, research-registry, Python 3.10–3.13, typing, lint, coverage, package-build, and browser checks passed.

The scientific study remains frozen as v0.1; this release updates the explanatory software and interface only.

Snowflake Evolution Lab v0.1.0

Snowflake Evolution Lab v0.1.0 is the first public research release.

Research result

Across five independently evolved anaerobic MuLTEE populations, cellular aspect ratio and biomass-weighted mean cluster radius were positively associated in every lineage over 600 transfers. Population-level Spearman coefficients range from 0.923 to 0.967 (median 0.956). Under the frozen limited sign model, five concordant positive signs correspond to 0.03125.

Included

• frozen-before-analysis v0.1 protocol
• pinned source identity and source audit
• attributed figure-source trajectories with the missing PA2 day-400 radius preserved
• confirmatory and sensitivity calculations
• machine-readable results and deterministic regeneration
• responsive interactive geometry model and empirical charts
• Python 3.10–3.13 CI, CodeQL, dependency audit, and GitHub Pages

Scientific boundary

This is a transparent reanalysis of published source data, not an independent wet-lab replication. Association through time does not prove that elongation alone caused larger size, identify a universal threshold, or reconstruct the historical origin of multicellular organisms. Exploratory size and shape jumps do not occur in a consistent temporal order.

Primary measurements: Bozdag et al., Nature (2023), DOI 10.1038/s41586-023-06052-1.