Topological Design Optimization of a Yottabit-Per-Second Lattice Network
Why this work is in the frame
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Bibliographic record
Abstract
This paper deals with the topological design of a yotta-bit-per-second (1yotta=10/sup 24/) multidimensional network. The YottaWeb is a recently proposed architecture based upon agile optical cores that provides fully meshed connectivity with direct optical paths between edge nodes that are electronically controlled. In order to arrange the edge nodes around the agile cores (ACs) into a suitable and efficient YottaWeb, one proposal is to create a multidimensional lattice structure of ACs. The problem of designing such a structure is highly combinatorial. In this paper, we present the problem, that we call nodal arrangement problem, and we propose a meta-search procedure based on Tabu and VNS to solve it. The performance of the algorithm is gauged using a set of randomly generated networks with different distribution of traffic.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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