Find the Broken Links in a Reproducibility Chain

Your team's model registry stores, per production model: the trained weights file, the offline AUC and log-loss at promotion time, and a free-text "notes" field where the training engineer sometimes writes what data they used. Training code lives in a shared notebooks/ folder that everyone edits directly on the main branch; there is no per-run snapshot of which version of the notebook produced a given model. Training data is queried live from a warehouse table that is continuously updated (no partitioning or snapshotting).

1. For each of the four things that must be versioned (data, code, model, environment), identify whether this team's setup actually achieves it, and if not, what specifically is missing.
2. Six months from now, someone asks "can we reproduce the exact training run that produced the currently-deployed model, to debug why it's behaving oddly on a specific input?" Walk through what would go wrong when they try.
3. Propose the minimum set of changes that would close the gaps, ordered by how much risk each one removes.