A General Computational Framework and Simulations of Branching Programs of Boolean Circuits Using Higher Order Logic (HOL) Software - An Insight into ECAD Tool Design Paradigm
Bibliographic record
Abstract
Integrated optics and Optical computing are now a mature technology offering many types of devices and manufacturing techniques. Recent breakthroughs in the ?eld of silicon photonics showed low-loss insulators, passive wave guide devices, high speed optical switches, detectors, silicon lasers, and silicon ampli?ers, optical amplifiers etc. These devices have provided the possibility to construct CMOS compatible optical circuits with low power consumption, high bandwidth and low latencies. A critical component that we intend to focus is on considering Branching Programs as CAD tools for the design of future electronics. Hence, BPs as viable means to accomplish the task of propelling the R&D of Electronics, are considered and simulated using HOL software based on boolean theory. We believe our research is one of the remarkable pioneering efforts, into the promising aspects of Branching Programs as CAD Tools.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".