Skill UI

This guide details the best practices for submitting supplementary material (like full proofs, benchmark data, and source code) for major academic conferences. It instructs authors on strategically placing content to enhance depth while strictly maintaining double-blind anonymity and ensuring perfect consistency between the main paper and its supporting appendices.

A comprehensive guide for maintaining consistency and completeness of references for PNAS Nexus submissions. It details the critical differences between the format-neutral requirements at submission time and the final numbered style required for publication, emphasizing the proper citation of datasets, software, and preprints.

A comprehensive guide detailing how to structure a technical paper (such as those submitted to POPL) across three components: the main body, the detailed appendix, and anonymous supplementary artifacts. It covers content placement, ensuring internal consistency between sketches and proofs, and methods for maintaining full double-blind anonymity during submission.

A comprehensive guide for authors submitting to PR&AI, detailing how to truthfully declare and provide verifiable artifacts (code, data, models) for peer review. It emphasizes honesty, consistency, and structuring a reproducible repository to enhance reviewer trust.

This guide provides a structured framework for responding to reviewers and editors regarding a meta-analysis or systematic synthesis. Because such revisions often involve expanding the search, changing eligibility criteria, or adding complex bias diagnostics, the response must maintain impeccable internal statistical consistency across all tables, figures, and estimates. It ensures all methodological changes are clearly propagated and justified.

This comprehensive guide outlines the rigorous standards for creating publication-grade tables and figures for top-tier academic journals, such as The Review of Economic Studies. It emphasizes the principles of elegance, economy, and self-containment. Authors must ensure that every exhibit carries one single, clear result, presents interpretable magnitudes (not just stars), and is generated programmatically from code to guarantee reproducibility and consistency.

A comprehensive guide for tackling a 'revise-and-resubmit' academic review (R&R). This process details how to substantively resolve critical, first-order concerns—such as identification threats, construct measurement, or model assumptions—before drafting the letter. It emphasizes rigorous analysis, structured point-by-point responses, maintaining manuscript consistency, and preserving anonymity for resubmission.

This comprehensive guide details the strategy for drafting a compelling rebuttal letter and revision plan following rigorous peer review (R&R). It teaches authors how to structure point-by-point responses, differentiate between major concerns and suggestions, adhere to strict journal constraints (e.g., page caps, data consistency), and ensure all revisions are presented with verifiable evidence.

A comprehensive guide for academic authors on how to sharpen and frame their research contributions for top-tier strategy journals. It teaches authors to move beyond simply listing findings, focusing instead on articulating a genuine theoretical advance, defining the 'so what' for both strategy scholars and practitioners, and maintaining consistency across the manuscript (Introduction, Theory, Discussion).

This guide provides a comprehensive framework for structuring and validating the theoretical derivation of statistical methods for academic publishing, particularly in social sciences. It ensures that every claim—including assumptions, consistency, efficiency, and bias—is explicitly stated, traceable to supporting conditions, and linked to empirical or simulation checks, thus maintaining methodological rigor.

This comprehensive guide outlines best practices for achieving high levels of scientific reproducibility in systems papers, especially for cloud measurement studies. It teaches authors how to map every claim in their paper to verifiable evidence, detailing the entire testbed setup, reproducing tail latency and costs accurately, and maintaining consistency between reported numbers and artifacts.

A comprehensive guide for creating the two required artifacts for a WACV paper: an anonymous package for double-blind review, and a public release post-acceptance. It emphasizes reproducing deployed system claims (latency, power, robustness) and maintaining consistency across revision rounds.