BIST fault diagnosis in scan-based VLSI environments
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Existing BIST diagnostic techniques assume the existence of a very few bit errors in a test response sequence. This assumption is unrealistic since in a practical BIST environment a single defect in a circuit can usually cause hundreds or thousands of errors in a test response sequence. This paper presents a novel BIST fault diagnostic technique for scan-based VLSI devices, without making the above assumption. Based on faulty signature information our scheme guarantees correct identification of the scan flops that capture errors during test, regardless of the number of errors the circuit may produce. In addition, it is also capable of identifying the failing test vectors with a better diagnostic capacity than existing techniques. The proposed scheme does not assume any specific fault model. Thus, it is able to diagnose all voltage-detectable faults. This paper analyzes the efficiency of the scheme in terms of diagnostic coverage. Experimental results on several large ISCAS89 benchmark circuits and industrial circuits are also included.
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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 | 0.000 |
| 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