Formal Description Techniques for CSPs and TCSPs.
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
LOTOS is a formal specification technique for describing and verifying complex systems. In this paper, we investigate the applicability of LOTOS to specify and solve Constraint Satisfaction Problems (CSPs) as well as Temporal Constraint Satisfaction Problems (TCSPs). A CSP is a general framework used to represent and solve a large variety of combinatorial problems including frequency assignment, configuration and conceptual design, network management and transportation. A TCSP is one particular case of CSPs, where constraints are temporal relations between temporal variables defined over a set of time intervals. TCSPs are used to handle problems involving temporal constraints such as scheduling, planning and computational linguistics. Through simulation and model-checking verification, we show, in this paper, how to solve CSPs and TCSPs using LOTOS specifications.
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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 | 0.001 |
| 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