Skill UI

This guide provides a comprehensive framework for positioning theoretical algorithms research in top-tier venues like SODA. It details how to conduct a rigorous "related work" review, covering bound lineages across conference proceedings, journal publications, and arXiv preprints. Learn best practices for citing dual-version results, managing priority claims, and writing scholarly prose to establish your result's state-of-the-art status.

A comprehensive guide for theoretical computer science authors on converting an accepted paper into two distinct, public deliverables: a concise, citable proceedings version (extended abstract) and a comprehensive, full version for public preprint servers like arXiv. Details the formatting, copyright requirements, version control, and post-publication hygiene necessary for academic publishing.

A comprehensive guide for authors writing theoretical computer science papers. It details how to position a result within the existing academic lineage, ensuring rigorous citation practices, managing version discrepancies (preprint vs. journal), and honestly comparing bounds against prior work. Essential for meeting the high standards of top-tier conferences like STOC.