Skill UI

This skill guides users on transforming a sociological manuscript from a descriptive literature review into a sustained, argumentative theoretical piece. It ensures the writing follows rigorous academic standards, adheres to the ASA Style Guide, respects strict length caps (including citations and references), and shifts the focus from summarizing findings to advancing novel theoretical propositions.

A comprehensive guide for authors submitting to SODA (ACM-SIAM Symposium on Discrete Algorithms). It clarifies the rules for including computational evidence, distinguishing between proofs relying on computation, supporting implementations, and full experimental contributions. It emphasizes using verifiable certificates and structuring the submission for rigorous, independent review.

A comprehensive guide to structuring and drafting rebuttal responses for top-tier academic conferences like SODA. This process teaches authors how to efficiently address referee concerns within a strict time limit, distinguishing between genuine flaws and simple misreadings. It emphasizes evidence anchoring, maintaining anonymity, and adhering to strict submission rules to maximize impact during the short response window.

A comprehensive guide for authors transitioning an accepted paper from a full draft to the strict, camera-ready proceedings format required by major conferences like SODA. It covers critical steps such as content compression, de-anonymization (restoring author metadata), adhering to SIAM formatting rules, and establishing proper citation hygiene across multiple versions (proceedings, arXiv, journal).

A comprehensive guide for authors submitting theoretical computer science papers to SODA. It clarifies the distinction between SODA (theory-led) and ALENEX (experiment-led), advising on when and how to incorporate numerical evidence. The protocol details best practices for honest numerics, including instance generation discipline, claim-class labeling (illustration, evidence, motivation), and proper submission routing to ensure academic rigor.

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.

This skill provides a comprehensive framework for ensuring the mathematical verifiability of advanced algorithms papers (like those submitted to SODA). It guides authors to establish a complete, checkable argument, documenting every claim, explicit model assumption, constant status, and providing machine-checkable steps. It moves beyond simple claims of accuracy to mandate full, reproducible proof structures.

This guide details the rigorous, multi-stage academic review process for submissions to top-tier conferences like SODA (Symposium on Discrete Algorithms). It covers the entire lifecycle, from initial submission and abstract assignment to deep technical refereeing, author rebuttal phases, and final PC decision-making. It provides actionable advice on writing style, addressing reviewer comments, and improving borderline papers.

A comprehensive guide for authors preparing and auditing submissions for SODA (ACM-SIAM Symposium on Discrete Algorithms). Covers critical guidelines including the no-page-limit full version requirement, strict formatting rules (11pt, single column), lightweight double-blind rules, HotCRP mechanics, and an hour-by-hour checklist for the final submission window.

This comprehensive guide details how to architect a lengthy, complex academic paper into a single, highly navigable PDF. It establishes a two-tier document model, separating self-contained 'Front Matter' from verifiable 'Back Matter.' Learn best practices for structuring proofs, ensuring dependency order, and implementing critical navigation aids (like claim indexes and TOCs) so reviewers can follow the argument flow seamlessly, even without traditional supplementary files.

This guide provides researchers with a critical framework for determining if their work on algorithms, data structures, and discrete mathematics is suitable for SODA (ACM-SIAM Symposium on Discrete Algorithms). It outlines a rigorous three-question fit test, offers a routing map to comparable specialized venues (like STOC or FOCS), and clarifies the specific academic pattern required for a submission to be considered novel and impactful to an algorithms expert.

This guide provides an end-to-end backward planning roadmap for submitting to the SODA conference. It covers the entire theoretical computation cycle, key deadlines (e.g., July submission, rebuttal period), writing milestones, rebuttal strategies, and group ownership discipline, ensuring authors navigate the complex academic publication process efficiently.