Fixing the c Parameter in the Three-Parameter Logistic Model

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Bayesian Item Response Modeling in R with brms and Stan (2019, background): “There are some general statistical problems with the 3PL model with estimated guessing probabilities, because the interpretability of the model parameters, in particular of the item difficulty and discrimination, suffers as a result (Han 2012).”
Evaluating the Impact of Careless Responding on Aggregated-Scores: To Filter Unmotivated Examinees or Not? (2017, methodology): “The modified-3PL model differed from the generating 3PL model in that the c-parameter was constrained to 0.25 across all items for the purpose of gaining stable parameter estimates, which has been recommended by Han (2012).”
Assumptions of multiple regression: Correcting two misconceptions (2013, unknown): “…item response theory models in the social sciences, and indeed recent research appearing on the pages of PARE (e.g., Baryla, Shelley, & Trainor, 2012; Han, 2012; Thompson & Weiss, 2011), we expect that the latent variable perspective on measurement will be the most familiar and relevant to readers.”