This paper explores the detection of derivation linksbetween texts (otherwise called plagiarism, near-duplication,revision, etc.) at the document level. We evaluate the use of textualelements implementing the ideas of specificity and invariance aswell as their combination to characterize derivatives. We builta French press corpus based on Wikinews revisions to run thisevaluation. We obtain performances similar to the state of theart method (n-grams overlap) while reducing the signature sizeand so, the processing costs. In order to ensure the verifiabilityand the reproducibility of our results we make our code as wellas our corpus available to the community.