Generation of communication schedules using component interfaces
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
With the growing demand in embedded systems, safety and non-safety critical parts are integrated together although guaranteeing safety is a hard problem to tackle due to the complexity of possible interactions between components involving communication. However, it is sufficiently recognized that separation of computation and communication can reduce the complexity of guaranteeing safety involved in interactions between components. In this work, we propose to use component interfaces derived from periodic resource supplies that can meet the demand of components experiencing bounded delays. The advantage of using interfaces is to provide minimal information of components without requiring the entire task specifications to generate a multi-mode communication schedule. We use integer linear programming to find assignments in generating schedules that are guaranteed to have low average mode-change delay. A video monitoring case study demonstrates the advantages on using our approach in generating communication schedules.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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