Verification of CAM tests for input stuck-at faults
Bibliographic record
Abstract
A comparison of three tests applied to an n-word by 1-bit static CMOS content-addressable memory (CAM) array is performed with respect to the cell input stuck-at-fault model. We briefly review the methodology facilitating this comparison, and the proof of correctness of the Sidorowicz and Brzozowski test, of length 7n+2l+5, which was derived using this methodology. Then, we examine the Giles & Hunter test and demonstrate that it fails to detect bit-sa-0 and b~i~t~-sa-0 faults. We also show how this test can be modified to a test, of length 11n+2l, that detects these faults. Next, we verify that the Kornachuk et al. test, which is of length 24nl and is used in BIST, detects all the faults in the fault model.
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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 | 0.000 | 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 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".