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Dear all: The ParsCit team has also been updating the ParsCit package, and is happy to announce a new version that improves on classification accuracy. This version also adds a fully-integrated module that adds header (first page) parsing so that that the title, authors and their institutions and the abstract can be extracted. The version also benefits from a number of user contributed fixes. You can either download a copy of ParsCit for your own use, or use it through a web services interface. We welcome your feedback and hope that if you use ParsCit or any other freely available reference string parsing tool that you can contribute annotated data to help make these models more robust. ParsCit (and its online demos) are available from: http://wing.comp.nus.edu.sg/parsCit/ Current Distribution: http://wing.comp.nus.edu.sg/parsCit/parscit-090625.zip and is a joint collaboration between the National University of Singapore and the Pennsylvania State University (the folks who brought you CiteSeerX). Cheers, Min P.S. Integration with other freely available parsing systems is hopefully in the works too. If you have something to contribute, we'll be happy to commit some bandwidth into getting it integrated with ParsCit.