My questions are:

Distinguishing Normal Code from TVL Data: How can we design the parser to reliably differentiate between a TVL-structured segment and regular code? Handling Variable Lengths Robustly: What strategies or best practices would you recommend for dealing with scenarios where the length field might be misleading (e.g., too large or too small relative to the actual data available)? Especially when handling large datasets, what potential pitfalls should we be aware of, and how can we avoid issues with redundant or misinterpreted data?