
This artifact contains all data downloaded from the StarExec platform concerning the jobs that ran the LTL, LTLf, and parity-game tracks of the 2024 reactive synthesis competition (SYNTCOMP24).
Reactive Synthesis, Logic in Computer Science, Formal Languages
Reactive Synthesis, Logic in Computer Science, Formal Languages
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
