# Inspectable Control for Structure-Preserving Software Regeneration — key results

| Setting | Parse rate | Skeleton | Signature | Unlocked change |
| --- | --- | --- | --- | --- |
| Input (truncated) | 0.994 | 0.994 | 0.994 | — |
| Codec reconstruction | 0.857 | 0.848 | 0.493 | 0 |
| Unconditional generation | 0.453 | 0.08 | 0 | 0.995 |
| Conditional, prefix k=4 | 0.591 | 0.295 | 0.061 | 0.936 |
| Conditional, signature span | 0.6 | 0.302 | 0.063 | not reported |

Coarse latent locking improves syntactic stability without collapsing change in the editable region; the result demonstrates structural control, not guaranteed functional equivalence.

Dataset: 2,000 preprocessed Python functions from a CodeParrot Clean subset
External mirror: https://huggingface.co/datasets/aogavrilov/inspectable-control-results
External collection: https://huggingface.co/collections/aogavrilov/publication-result-summaries-6a6b733b3116a87befb37ec2
Sample size: 2,000 preprocessed Python functions; conditional sample uniqueness is 0.998.
Uncertainty: The two-page study reports point estimates without confidence intervals or multi-seed statistical analysis.
Conditions: 64-token functions, argmax decoding, 16 top-level codes and 32 lower-level codes; full locking exactly recovers the codec reconstruction.