A Scalable Many-Stage CMOS OTA for Closed-Loop Applications
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Bibliographic record
Abstract
In this work, a new scalable CMOS OTA design that systematically enables cascading many identical OTA stages is proposed. This scalable design of the many-stage OTA ensures stability, when configurated in closed loop, by means of a new scalable frequency compensation technique. The presented design realizes a CMOS OTA with scalable-gain that increases in 25 dB increments per stage, achieving a total gain from 50 dB to 150 dB for a 2-stage to a 6-stage OTA, respectively. Stability of the many-stage OTA is ensured by re-positioning the poles and zeros of all gain stages in a systematic scalable pattern whenever a new gain-stage is added. The presented design was based on a TSMC 65 nm CMOS process.
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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) | 0.002 | 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