parsimagma v1.0-stage2: 200/200 on the Stage 2 sample set

parsimagma is tagged v1.0-stage2: one standard-library-only Python file — no database, no lookup table, no LLM call — reaches 200/200 on the organizer’s 200-problem sample set, confirmed by two independent runs agreeing problem for problem and explicitly not the private graded set. Three search mechanisms split the work: finite model search refutes false implications cell by cell, critical-pair completion proves most of the true ones, and ordered superposition under a Knuth–Bendix ordering takes the rest. Every derived equation carries its replayable derivation, paths are double-checked before any Lean is written, and certificates are emitted from the inference DAG rather than flattened — 13,728 bytes against 3,634,949 on the hardest problem.