Fold Go derives legality, solved values and competitive decisions from the Smithian fold with zero trained policy, zero value network and zero learned weights. The exact engine reproduces the legal-position census 1, 57, 12,675 and 24,318,165 through 4x4 and secures exact empty-board values through 2x2. Applied play includes two independently replayed two-game 9x9 sweeps against GNU Go at depth ceiling three and the preserved 19x19 harness measurement. The current engine binds complete augmented state, typed transposition bounds, universal pass, complete empty-board orbits, complete active fronts and immutable source/opponent receipts. Typed-table and no-cache values agree on a sealed 134-state surface with 24 pass-pass terminals. The calculation ledger now preserves every SFT decision, completed depth and candidate fraction. Benchmark victory remains an explicit objective under Maria Smith's greater-than-50-percent criterion; development games direct construction and do not give agents authority to declare rank, findings, losses or endpoints. Scientific author and publication authority: Maria Smith, Ernos Labs. Open source: Fold Go.
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