+In the first section we will introduce methods for candidate document retrieval from online sources, which took part in
+PAN 2012 competition\footnote{\url{http://pan.webis.de/}} in plagiarism detection.
+The task was to retrieve a set of candidate source documents that may had served as an original to plagiarize from.
+In the PAN 2012 candidate document retrieval test corpus, there were 32 text documents all contained at least one plagiarism case.
+The documents were approximately 30 KB of size, the smallest were 18 KB and the largest were 44 KB.
+
+In the second section we describe our approach of detailed document comparison.
+We highlight the differences of this approach to the one we used for PAN 2010
+competition. We then provide the outline of the algorithm, and describe
+its steps in detail. We briefly mention the approaches we explored,
+but did not use in the final submission. Finally, we discuss the performance
+of our system (both in terms of the plagdet score, and in terms of CPU time).