NOVEL TEST GENERATION ALGORITHM FOR COMBINATION CIRCUITS
Why this work is in the frame
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Bibliographic record
Abstract
It has been known for many years that combinational circuits have a Complete Test Set (CTS) which is capable of detecting all single and multiple faults. In this paper, we attempt to find CTS systematically. Our algorithm finds a test set which detects all single and multiple stuck-at faults in combinational circuits. This test set is obtained without probing internal nodes, using fault simulation or fault enumeration. It is shown that the test set is independent of logic circuit structure and dependent to the mapping function, number of inputs, outputs, and fanout stems. An upper-bound and lower-bound figures for the number of test vectors required to obtain 100% fault coverage are provided. This number is a small fraction of the entire solution space. A number of recommendations are made to improve the testability of a logic circuit.
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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 | 0.001 | 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 | 0.000 | 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