A DLL-based test solution for through silicon via (TSV) in 3D-stacked ICs
Why this work is in the frame
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Bibliographic record
Abstract
This study presents a new test method for Through Silicon Via (TSV) in 3D stacked ICs, in which a Delay-Locked Loop (DLL) is utilized to detect TSV defects. As compared to TSV test methods using free running ring oscillators, the proposed method presents a much better performance against Process, supply Voltage and Temperature (PVT) variations due to the inherent feedback of DLL systems. In the proposed scheme, a periodic signal is applied to the TSV under test and the propagation delay is measured to detect TSV faults. To perform circuit level simulations, 3D full-wave simulations are performed to extract accurate spice models for both faulty and fault free TSVs. Simulation results indicate that the proposed test solution can detect TSV manufacturing defects, changing its propagation delay by more than 10% from the nominal value.
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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