Our project aims to expose the intertextual relationships observable within a heterogeneous literary corpus. For this purpose, we examine the output of two text reuse detection tools, Tracer and TextPAIR. We suggest some solutions to overcome the specific limitations observed in those tools and to enhance data quality. We believe that automatic analysis of the rewriting process can make it more comprehensible if the analysis is combined with empirical research methods adapted to the corpus in question.