Much Compact Time Petri Net State Class Spaces Useful to Restore CTL* Properties
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Bibliographic record
Abstract
This paper deals with the verification of CTL* properties of Time Petri Nets (TPN model). To verify such properties, we need to contract the generally infinite state space of the TPN model into a finite graph that preserves its CTL* properties. Such a graph can be constructed using a partition refinement technique, where an intermediate graph, representing a contraction of the TPN state space, is first built then refined until CTL* properties are restored. Comparing to other approaches, we propose to construct much compact intermediate graphs. Experimental results have shown that our contractions are very appropriate to boost the refinement procedure. We have been able to reduce computation times by factors reaching four and more in certain cases. Resulting graphs have also been reduced in size.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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