Skill UI

This comprehensive guide helps authors determine if their manuscript is suitable for the Financial Cryptography and Data Security (FC) conference. It covers the specific scope fit, required evidence standards (including threat models and economic context), and best practices for re-framing general CS research into a finance/security-focused narrative, ensuring the paper meets the expectations of the specialized review community.

This guide helps researchers determine the optimal academic venue for their software engineering work. It compares major conferences (FSE, ICSE, ASE, ISSTA) and journals, advising on contribution shape, evidence maturity, and community fit to maximize publication chances and fit the research into the correct academic community.

A comprehensive guide for academic authors on situating their manuscripts within the comparative governance, public policy, and public administration literatures. It teaches the methodology of building a strong, portable, and theoretically comparative argument, ensuring the research contribution is relevant to the international scholarly community and meets high academic standards.

This guide provides a specialized framework for authors targeting the IACR Conference on Cryptographic Hardware and Embedded Systems (CHES). It details the specific scope, evidence bar, and framing techniques required for cryptographic hardware papers, ensuring submissions meet the high standards of the community. It helps reposition work from journal or general CS styles.

This guide helps researchers decide the most appropriate venue for their database theory research, comparing major conferences like ICDT, PODS, EDBT, and top journals (ACM TODS, LMCS). It provides detailed criteria, such as the required data-management consequence, the nature of the theorem, and strategies for choosing between competing flagship venues based on calendar, publisher, and community fit.

This guide details the process of packaging artifacts for academic conferences (ICLR), ensuring that research claims are fully reproducible and reviewable. It emphasizes providing minimal reproduction paths, maintaining data provenance, rigorously anonymizing metadata to protect authors' identities, and creating robust, permanent records for the scholarly community.

A comprehensive guide for academic authors detailing how to establish and maintain rigorous reproducibility in Machine Learning research papers (e.g., ICLR). It instructs on mapping every central claim to verifiable evidence, including recording seeds, variance, specific compute budgets (training vs. inference), data preprocessing scripts, and ethical considerations. The statement must function as a public contract for the scientific community.

This guide provides detailed structuring advice for writing empirical software engineering (SE) research papers for top-tier conferences like ICSE. It focuses on adopting the required academic rigor, including using Research Questions (RQs) as the core skeleton, mastering the 'Threats to Validity' section, and calibrating claims for verifiability. Learn how to structure the abstract, compress content into a 10-page limit, and address reviewer expectations in the SE community.

A comprehensive guide for auditing and positioning the novelty and eligibility of research submissions in the field of software maintenance and evolution. It teaches authors to write a 'delta-first' related work section, contrasting their contribution against key prior works and covering specialized literature lanes (e.g., MSR, ICSE, TSE) to demonstrate deep command of the academic community.

A comprehensive guide for positioning visualization and visual analytics manuscripts for the IEEE Pacific Visualization Symposium (PacificVis). This skill helps authors refine their scope, evidence presentation, and overall narrative to match the unique requirements and review expectations of this top-tier conference. It acts as a fit/framing tool for conference submission strategy, ensuring the work is appropriately targeted for the Asia-Pacific community focus.

A comprehensive guide for researchers on preparing, archiving, and declaring the availability of research artifacts (datasets, code, and platforms) for academic publication. It details best practices for provenance tracking, ensuring reproducibility, and meeting the standards required for community contribution awards.

This skill guides authors to evaluate if their mechanistic immunology study meets the high standards of the journal Immunity. It serves as a comprehensive pre-submission checklist, detailing required evidence (in vivo validation, single-cell genomics, multi-omic data), necessary mechanistic depth, structural requirements, and strict submission guidelines to ensure the core advance is the immune mechanism.