A framework of a survivable optical Internet using short leap shared protection (SLSP)
Why this work is in the frame
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Bibliographic record
Abstract
Survivability and continuity of service to the end users during the occurrence of faults have evolved to be critical issues in the aspect of control and management of the next-generation Internet. The ordinary path-based and link-based shared protection schemes can only provide a limited spectrum of protection services with coarse protection granularity, which will not be able to satisfy the versatile requirements of multimedia applications on the Internet in the foreseeable future. We propose a framework, short leap shared protection (SLSP), for service-guaranteed end-to-end shared protection for the optical Internet. We describe the algorithm for implementing this idea in detail and show that SLSP enhances the 1:N and M:N shared protection schemes in terms of scalability, flexibility and class of service.
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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 | 0.000 | 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 it