On-the-fly TCTL model checking for Time Petri Nets using state class graphs
Why this work is in the frame
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Bibliographic record
Abstract
This paper shows how to efficiently model check a subclass of TCTL properties for the TPN model, using the so called state class method. The idea is to put the TPN model under analysis in parallel with a special TPN to capture relevant time events to verify a timed property. The special TPN, we call alarm-clock, has two transitions, with special firing priorities, which can be set to fire at special moments. The verification of a timed property is based on a forward on-the-fly exploration technique, augmented with an abstraction by inclusion to further attenuate the state explosion problem. We prove the decidability of our verification technique for bounded TPN models and give some experimental results to show the effectiveness of our verification technique
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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 | 0.000 |
| 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