The October 2026 VERSF Standard Model Derivation Ledger brings the programme’s recent results into one account of what has been established and what remains to be derived. It follows thirty requirements covering particle structure, force strengths, masses, mixing and quantum consistency. Each entry records the progress since September, the assumptions behind the result and the calculation still needed. This provides a clearer foundation for future work and helps preserve connections already established across the papers.
Several developments make this a substantive update. The neutrino work now produces a definite ratio between mass-squared differences on a specified construction. The gauge work gives a relationship between force strengths that predicts the weak-mixing angle from two measured inputs, with corrections evaluated and the remaining discrepancy recorded. The latest baryon and lepton paper also completes a calculation connecting VERSF’s global geometry to restrictions on how matter can change. It reproduces established Standard Model selection results while explicitly evaluating their connection to the programme’s geometry, including how fractional contributions cancel to preserve integer charge changes.
The ledger makes the remaining task more precise. Many of the necessary fields, interaction rules and mathematical constructions already exist. The central challenge is to assemble and evaluate them together on one physically justified construction, so that force strengths, particle masses and mixing follow consistently from the same underlying rules. Some calculations are exact under their stated assumptions; others still require a physical identification, a numerical evaluation or a connection to laboratory observables. The ledger keeps those distinctions visible.
The overall planning assessment is approximately 75%, within a provisional range of 72–77%. This describes the maturity of the research programme; it does not mean that 75% of the Standard Model’s measured parameters have been derived or that VERSF has a 75% probability of being correct. Some of the hardest work remains. October’s contribution is a more predictive, more testable programme, together with a clearer record of the specific results needed to complete its physical derivation.