Generalizing CASL Specification Components and Preserving Rewrite Proofs
Why this work is in the frame
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Bibliographic record
Abstract
We propose the theoretical basis of a tool for the generation of reusable CASL specification components by generalization of existing ones. The underlying idea is, given a component and a set of semantic properties that it satisfies and that we want to preserve, to find a parameterized, more general, component satisfying the following conditions: the original component is one of its possible instantiations, and any of its instantiations satisfy the stated properties. We present here both the definition of the generalization operation for CASL and the problem of preserving properties in the generalized component. To guarantee the preservation of properties, we propose to preserve their proofs, concentrating on the use of rewrite proofs. This technique provides a simple way to find sufficient conditions for the preservation of the corresponding properties. This work is being integrated in the specification component development tool FERUS, under development for the CASL language, using ELAN as the rewrite proof engine.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it