A design-for-testability technique for detecting delay faults in logic circuits
Bibliographic record
Abstract
This paper provides a simulation-based study of the delay fault testing in logic circuits. It is shown that delay testing is necessary in order to achieve a high defect coverage. By detecting delayed time response in a transistor circuit, three types of faults are detected: (1) faults which cause delayed transitions at the output node due to some open defects, (2) faults which cause an intermediate voltage level at the output node, and (3) most stuck-at faults which halt the circuit at '1' or '0'. An on-line checker is presented which enables the concurrent detection of delay faults. Since one checker is used for each output signal, the area overhead is minimal. This technique does not degrade the speed of the circuit under test (CUT). We show that the test circuit is independent of the size of the CUT. Simulation results show that this technique can be adjusted to fit to any design style.
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".