Bibliographic record
Abstract
This paper proposes a new pipeline circuit design with improved latency and throughput compared to several other asynchronous pipeline circuits. The channels between pipeline stages use data encoding and a small set of minimum-delay timing constraints that permit modular design with few dependencies on technology and layout. We develop circuit blocks that implement linear pipelines as well as forking, joining and data-dependent decisions. The single-bit operating cycle has only 6 CMOS inversions of which the forward latency has only 2 inversions. In the multi-bit case, we eliminate acknowledge completion detection and we place the request completion detection outside critical paths while still preventing data overlap in both convergent and ring trajectories. An implementation in CMOS 0.18 /spl mu/m exhibits a latency of 56 ps per pipeline stage and throughput of 4.8-giga data item per second (GDI/s) in a Hspice simulation. Reduced swing versions of the proposed circuits further improve these full-swing measurements.
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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 | 0.001 |
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".