Empirical Validation of Yield Recovery Using Idle-Cycle Insertion
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
The act of applying a scan-based delay test to a chip can cause electrical disturbances in the power and clock distribution networks that affect the results of the test, either for better or for worse. Empirical data presented in this study suggest that altering the details of the delay test application protocol can have a significant effect on the test results, and thus the yield of the product being tested. Specifically, inserting wait states between scan shifting and the launch clock results in measurable yield improvement. Although the exact mechanisms involved remain elusive, the authors were able to eliminate several possibilities through a series of experiments. It is clear from these experiments that yield recovery is a real phenomenon, and that launch delay (LD) tests can help to recover from IR drop.
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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 | 0.001 |
| 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 it