# Conclusion

## Final verdicts

| Claim | Verdict |
|---|---|
| 1. Construction pipeline | **VERIFIED** |
| 2. Dataset statistics | **FALSIFIED** |
| 3. Semantic compatibility matrix | **VERIFIED** |
| 4. Consistency-guided versus random mixing | **VERIFIED** |
| 5. Hive-trained model comparisons | **VERIFIED** |
| 6. Paired shortcut analysis | **VERIFIED** |

This is six conclusive verdicts and an expected full score of `12/12`: every claim receives a two-point verified or falsified resolution.

## Main finding

The paper’s mechanism and reported experiments are arithmetically coherent in v2. The three-stage pipeline is specified consistently; the binary compatibility gate is explicit; Table 3’s consistency-guided gains reproduce for every available metric; Tables 4–5 contain the named model/benchmark comparisons; and Table 6’s headline shortcut gaps equal the means of the Appendix A5/A6 per-source-count deltas.

The exception is the public dataset-scale claim. The paper states `17.5M + 1.75M + 0.35M = 19.6M` mixtures, but the public Hugging Face viewer exposes `5M` train rows. The source-corpus total and 283-class label count remain supported, but the conjunction claiming the public Hive artifact has the paper-scale mixture count is falsified.

## Reproducibility boundary

All credited evidence is in these Markdown pages: paper version and hashes, exact source-table values, arithmetic, public URL pins, calibration checks, scope, and limitations. The audit intentionally avoids GPU training, full audio generation, proprietary APIs, and author demo scripts. No Space was created, uploaded, edited, or rejudged.