Testability preserving transformations in multi-level logic synthesis
Why this work is in the frame
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Bibliographic record
Abstract
The authors present a very efficient new method for the decomposition and factorization of Boolean expressions, which produces irredundant multilevel networks. The method is based on very simple objects, namely, double-cube divisors and single-cube divisors with only two laterals. It is demonstrated that these objects, despite their simplicity, provide a very good framework for reasoning about common algebraic divisors and duality relations between expressions. Since both the time and space complexity of the operations on double-cube and single-cube divisors is polynomial in the size of the two-level representation, the algorithms run much faster than those based on kernels. It is shown both theoretically and experimentally that the decomposition and factorization transformations introduced preserve testability, which implies that a complete test set developed for an input network also gives complete coverage of faults in the synthesized multi-level network.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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