A Delay Generation Technique for Narrow Time Interval Measurement
Bibliographic record
Abstract
A new architecture for the on-chip measurement of short-time intervals is proposed in this paper. The measurement method is similar to a typical low-voltage measurement setup where the input signals are first amplified and then measured to relax the dynamic range of the succeeding analog-to-digital converter. In the proposed method, narrow time intervals are first amplified by a time amplifier (TAMP) and then measured by a time-to-digital converter. A delay-locked-loop (DLL) circuit is utilized to design a feedback time amplifier in which the gain is readily programmed by input data to any integer value within a range specified by the number of delay cells in the DLL. The TAMP's gain remains rather unchanged under process and temperature variations due to the inherent negative feedback of the DLL system. The circuit is implemented using complementary metal--oxide semiconductor (CMOS) 0.18- mum technology occupying less than 0.63 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> of the silicon area. The simulation results show that the proposed scheme can successfully be employed to measure time intervals in the range of a few tens of picoseconds with acceptable accuracy.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".