@InProceedings{dongol_et_al:LIPIcs.CONCUR.2022.31,
  author =	{Dongol, Brijesh and Schellhorn, Gerhard and Wehrheim, Heike},
  title =	{{Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement}},
  booktitle =	{33rd International Conference on Concurrency Theory (CONCUR 2022)},
  pages =	{31:1--31:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-246-4},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{243},
  editor =	{Klin, Bartek and Lasota, S{\l}awomir and Muscholl, Anca},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CONCUR.2022.31},
  URN =		{urn:nbn:de:0030-drops-170947},
  doi =		{10.4230/LIPIcs.CONCUR.2022.31},
  annote =	{Keywords: Strong Observational Refinement, Hyperproperties, Forward Simulation, Weak Progressiveness}
}