Skill UI

This comprehensive style guide is written for authors submitting research papers to the CoRL conference. It provides specific directives on structuring the narrative to satisfy two distinct audiences: machine learning theorists and robotics engineers. It emphasizes quantifying all claims with concrete evidence scales (e.g., success rates, frequency), structuring the argument within a limited page count, and properly integrating mandatory sections like Limitations.

This comprehensive guide provides authors with a critical preflight checklist for submitting academic manuscripts to major journals (e.g., SAGE Track). It ensures compliance with strict guidelines, covering anonymization, word count adherence, abstract structure, ORCID linking, and robust data availability statements. Use this tool to minimize the risk of desk rejection due to formatting or procedural errors.

Provides comprehensive guidelines for designing self-contained, comparative, and publication-ready tables and figures for Comparative Political Studies (CPS) manuscripts. It emphasizes transforming raw statistical results into visually compelling exhibits that clearly communicate the cross-case or over-time comparative argument, while adhering to professional journal standards (e.g., grayscale legibility, vector output).

This guide outlines the rigorous standards required by Comparative Political Studies (CPS) for manuscripts, especially quantitative papers. It details how to prepare a complete reproducibility package, including data, code, log files, and a data availability statement, ensuring that analysis is rigorous and verifiable for final acceptance.

This resource provides a comprehensive fit-check and framing guide for submitting research to Critical Care Medicine, the flagship journal of SCCM. It outlines the high academic and clinical bar required for studies on the critically ill, covering necessary focus on clinically important advances, adherence to specific reporting guidelines (e.g., CONSORT, STROBE), and rigorous methodological expectations for ICU-related research.

A specialized routing tool designed for academic researchers submitting manuscripts to top-tier Computer Science and AI conferences. It helps users navigate complex decision points, such as selecting the best venue (e.g., ICML vs NeurIPS), matching contribution types (theory, system, empirical study), and adhering to specific submission guidelines and review constraints.

Provides comprehensive guidelines for researchers packaging and releasing artifacts (data, code, instruments) derived from real communities in CSCW research. It emphasizes ethical constraints, de-identification techniques (such as quote search and join attacks), and best practices for protecting studied communities' privacy, ensuring responsible sharing.

This guide details the best practices for preparing and submitting supplementary materials for CSCW submissions. It clarifies the difference between main papers, appendices, and separate files, emphasizing that anything needed to *trust* the method belongs here. Crucially, it provides deep guidelines on data anonymization, metadata scrubbing, and version control for review rounds.

Provides stringent guidelines for formatting tables and figures in high-level economics and finance manuscripts. Covers mandatory three-line table styles, column count limits, rigorous variable definition requirements (including naming specific databases), data source transparency, and professional figure generation techniques (e.g., 300 dpi, proper event study plots).

Provides comprehensive guidelines for developing and reporting high-stakes academic analyses, particularly in the social sciences and anthropology. It teaches authors how to ground every interpretive claim in specific evidence, proactively address alternative readings, integrate disconfirming data, and maintain methodological transparency to ensure the work survives rigorous expert peer review.

A comprehensive audit checklist for submitting papers to CVPR. This guide covers crucial deadlines (abstract, full paper, supplement), strict page limits (8 pages including figures), adherence to anonymity rules, and mandatory compliance with the Compute Reporting Form (CRF). Essential reading for authors preparing research submissions for major computer vision conferences to avoid desk rejection.

A comprehensive guide for authors submitting to computer vision conferences, detailing how to structure, organize, and utilize supplementary material. It clearly distinguishes between core claims (which must be in the main body) and supportive evidence, such as full ablation grids, detailed derivations, and video results, which belong in the supplement. The guide covers best practices for handling anonymity, video evidence, and avoiding common submission bugs.