A Parallel Residue‐to‐binary Converter for the Moduli Set {2m−1111,220m+,221m+,…,22km+}
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Bibliographic record
Abstract
In this paper, a high‐speed parallel residue‐to‐binary converter is proposed for a recently introduced moduli set for a general value of k . The proposed converter uses simple cyclic shift and concatenation operations and does not require any multiplier. Individual converters for the cases of k = 0 and k = 1 are derived from the general architecture and compared with those existing in the literature. The converter for S 0 is twice as fast requiring only one‐half of the hardware, while that of S 1 is three times as fast, but requiring only 60% of the hardware, as compared to the corresponding ones existing in the literature. Furthermore, the proposed converters are implemented using 0.5‐micron CMOS VLSI technology. Based on S 0 , the layouts for 8‐bit, 16‐bit, 32‐bit and 64‐bit converters are generated, and the corresponding simulation results obtained.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it