On the design of large receiver and transmitter arrays for OE-VLSI applications
Why this work is in the frame
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Bibliographic record
Abstract
The design environment, design and test flows, and the constraints and challenges of implementing large two-dimensional arrays of receiver and transmitter circuits for optoelectronic-very-large-scale-integration (OE-VLSI) applications is described, and the use of optically and electrically differential architectures is advocated. We show that the incorporation of design-for-testability features and chip-level test methodologies overcome some of the unique challenges of testing OE-VLSI receiver and transmitter circuits. We present design techniques that can be used to improve the switching-noise performance of fully differential OE-VLSI receiver and transmitter circuits. We show that the operational yield of large receiver arrays is maximized through the use of an optically and electrically differential architecture.
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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 | 0.000 |
| 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