6-k/spl Omega/ 43-Gb/s differential transimpedance-limiting amplifier with auto-zero feedback and high dynamic range
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
A high-gain, 43-Gb/s InP HBT transimpedance-limiting amplifier (TIALA) with 100-/spl mu/A/sub pp/ sensitivity and 6 mA/sub pp/ input overload current is presented. The circuit also operates as a limiting amplifier with 40-dB differential gain, better than 15-dB input return loss, and a record-breaking sensitivity of 8 mV/sub pp/ at 43 Gb/s. It features a differential TIA stage with inductive noise suppression in the feedback network and consumes less than 450mW from a single 3.3-V supply. The TIALA has 6-k/spl Omega/ (76dB/spl Omega/) differential transimpedance gain and 35-GHz bandwidth and comprises the transimpedance and limiting gain functions, an auto-zero dc feedback circuit, signal level monitor, and slicing level adjust functions. Other important features include 45-dB isolation and 800-mV/sub pp/ differential output.
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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) | 0.001 | 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 | 0.001 |
| 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