1. Pre-Convergence Checkpoint: The metrics reported in this document were evaluated on an intermediate experimental checkpoint where training was paused early to analyze representation dynamics. These numbers do not represent fully converged final weights. 2. Closed-Schema Evaluation Protocol: Unlike generative vision-language models that decode answers token-by-token from an open vocabulary, SnapVL operates as a closed-schema decision classifier. Questions are framed either as Boolean verification (True/False) or multiple-choice candidate selection (N-choice). Direct numerical comparison with generative LLM decoders should take this protocol difference into account. 3. Scope: SnapVL is…