Q1 learning dynamics: scientific mission

Question: before another training run, which fitting, representation, objective and data-coverage explanations can the completed CUDA C1 evidence discriminate? The deliverable is the answer-first report, portable measured bundle, source-bound analysis tools and diagnostic repairs, not a new training result.

Use selected update1,305 and primary final update2,030 from seed41, original 145TRAIN chains/77scenes and20development chains/20disjoint scenes. Preserve original support, labels, masks and checkpoint seals. Admitted fixed-checkpoint TRAIN/dev evaluations, a TRAIN-fitted constant, retained telemetry and declared no-update probes supply the evidence. Protocol defines pairing, weighting, uncertainty and limits. All conclusions on exposed development data are exploratory and conditional on a single training seed.

Status: fixed-checkpoint diagnostics, guarded frozen-evaluator repetition and report complete. The portable evidence contains15scalar tables and5figures. No training or acquisition collection. Full optimizer/capacity transactions, future fits, merge and deployment require separate commissioning. Runtime orchestration details remain in the living repository mission rather than this portable scientific snapshot.