Skill UI

A comprehensive guide for authors writing Experimental Economics manuscripts. This skill helps you anticipate and proactively address the rigorous, double-blind objections typically raised by academic referees—such as concerns over deception, statistical power, omitted confounds, or impure treatment contrasts—before submission, ensuring methodological integrity and strengthening the manuscript.

This guide provides best practices for authors writing the "Related Work" section for interdisciplinary AI conferences. It teaches how to precisely position novelty across multiple domains—including ML fairness, law, HCI, and critical theory—by writing delta-first contrasts and properly attributing borrowed concepts to their original academic source.

This guide provides comprehensive best practices for writing the 'Related Work' section for submissions to top-tier storage conferences like FAST. It emphasizes adopting a 'delta-first' contrast approach, requiring authors to position their novelty against the entire spectrum of storage literature (including OSDI, SOSP, and dedicated workshops), rather than merely citing proximate works. It also covers handling concurrent submissions and maintaining double-blind anonymity.

A comprehensive guide detailing how to structure the 'Related Work' section for submissions to top data mining conferences like ICDM. It emphasizes positioning the research based on core mechanisms and mining tasks, rather than simply listing results. The guide also provides critical advice on maintaining triple-blind anonymity, verifying citation venues (avoiding misattribution traps), and ensuring the novelty claim is distilled into a single, quotable mechanism-contrast sentence.

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 authors on how to structure the 'Related Work' section for top-tier networking conferences (like INFOCOM). It teaches authors to move beyond simple citation catalogs and instead adopt a 'delta-first' approach, clearly contrasting their work's novelty and unique contribution against the entire breadth of existing networking literature, including systems, theory, and flagships.

A comprehensive guide for writing the 'Related Work' section for top-tier speech conference papers. It teaches authors how to trace the academic lineage of a task across multiple venues (e.g., ISCA, ICASSP, NeurIPS), properly cite canonical corpora and metrics, and condense complex literature reviews into concise, contrastive clauses.

A comprehensive guide for authors submitting research to sensor network and information processing conferences. It instructs authors on how to write the 'Related Work' section by focusing on 'delta-first contrast' rather than simple citation listing, ensuring novelty is measured against both system-level and theoretical prior art.

A comprehensive guide for academic authors on how to precisely position their research within the specialized field of corporate finance. It teaches how to identify the specific theoretical 'strand' (e.g., capital structure, governance, M&A) and articulate a clear, marginal contribution by contrasting the work against 2-3 closest existing papers, thereby transforming vague claims into rigorous academic arguments.

A comprehensive guide for researchers positioning academic work within the pervasive and ubiquitous computing literature (e.g., PerCom, MobiCom). It teaches the critical 'delta-first' method, instructing authors to highlight their unique contribution and novelty contrast against the nearest prior work, rather than simply listing citations. Essential for proving field command and eligibility.

A specialized methodology for theoretically placing a new model within an existing academic conversation. It instructs the user to build a 'rival map' by identifying diagnostic phenomena, contrasting them with established rival theories, and explicitly stating where the new theory excels, surpasses, or subsumes existing claims. This approach moves beyond simple literature review to active theoretical confrontation.

A comprehensive guide for positioning research papers in competitive robotics conferences. It teaches authors how to move beyond simple literature review by establishing clear, verifiable contrasts with existing work across multiple academic lanes (e.g., RSS, ICRA, CoRL, Journals). This methodology ensures the paper's novelty is rigorously defensible.