Closed Forms and Synthetic Twins: Predicting Approximate Nearest Neighbor Recall from Embedding Statistics

Embedding models are trained and evaluated as if retrieval were exact; in production they serve behind approximate indexes -- HNSW, IVF, product quantization, or the fixed-dimensional encodings (FDEs) of late-interaction models -- whose behavior the encoder's benchmarks never see: one modern encoder