Here you find a summary of research publications on error detection-based fault-tolerance (EDFT) for sequential circuits like processors:
The idea came up when I was working on the satellite computer described in .
 introduces the idea of EDFT in general.
 tries to improve the timing of EDFT using pipelining.
Carl Johann Treudler, Jan-Carsten Schröder, Fabian Greif, Kai Stohlmann, Gökçe Aydos, and Görschwin Fey. Scalability of a base level design for an on-board-computer for scientific missions. In Data Systems In Aerospace (DASIA). August 2014. URL: https://articles.adsabs.harvard.edu/pdf/2014ESASP.725E..38T.
Gökçe Aydos and Görschwin Fey. In-circuit error detection with software-based error correction – an alternative to TMR. In Formal Modeling and Verification of Cyber-Physical Systems. Springer, 2015. URL: https://aydos.de/aydos2015err_det_based_ft_intro.pdf, doi:10/jqq2.
Gökçe Aydos and Görschwin Fey. Parity-based soft error detection with software-based retry vs. triplication-based soft error correction - an analytical comparison on a flash-based FPGA architecture. In INFORMATIK 2015. GI e.V., September 2015. URL: http://subs.emis.de/LNI/Proceedings/Proceedings246/article129.html.
Gökçe Aydos and Görschwin Fey. Empirical results on parity-based soft error detection with software-based retry. In Nordic Circuits and Systems Conference (NORCAS). IEEE, October 2015. URL: https://aydos.de/aydos2015ltmr_vs_pbed_exper.pdf, doi:10/bsmp.
Gökçe Aydos and Görschwin Fey. Exploiting error detection latency for parity-based soft error detection. In Design and Diagnostics of Electronic Circuits and Systems (DDECS). IEEE, April 2016. URL: https://aydos.de/aydos2016exploiting_err_det_latency.pdf, doi:10/bsf9.
Gökçe Aydos and Görschwin Fey. Empirical results on parity-based soft error detection with software-based retry. Microprocessors and Microsystems (MICPRO), September 2016. URL: https://aydos.de/aydos2016ltmr_vs_pbed_exper_extended.pdf, doi:10/bsmn.
Gökçe Aydos. Parity-based Error Detection with Recomputation for Fault-tolerant Spaceborne Computing. PhD thesis, University of Bremen, Germany, 2017. URL: http://nbn-resolving.de/urn:nbn:de:gbv:46-00106056-15.