Skill UI

A specialized guide for papers targeting top-tier econometric theory journals. This skill helps authors determine if their work's core contribution is a rigorous, non-trivial theoretical theorem (focusing on asymptotics, limit theory, or mathematical foundations) rather than an empirical application. It outlines the required mathematical rigor, structure, and scope necessary for acceptance in theory-heavy venues.

A comprehensive guide for structuring, auditing, and writing mathematically rigorous proofs for advanced academic papers, particularly in econometrics and statistics. It covers everything from defining assumptions and stating self-contained theorems to applying advanced proof techniques (e.g., fixed-point theorems, CLT). Use this when your central result requires impeccable rigor and completeness for top-tier publication.

A comprehensive router designed to guide researchers through the entire lifecycle of writing a highly rigorous academic paper for top-tier econometrics journals, such as Econometrica. It outlines the necessary steps—from initial topic selection and theoretical positioning to detailed identification checks, robustness testing, and final submission package assembly—ensuring the manuscript meets the highest standards of mathematical rigor and scholarly depth. This guide does not replace specialized skills but dictates the optimal sequence of research stages.

A comprehensive protocol for authors addressing major referee objections in theoretical econometrics papers. This guide teaches systematic revision techniques, including how to categorize critiques (fundamental gaps, clarifications, disagreements), structure the mathematical proofs, and write a rigorous, point-by-point rebuttal letter. It ensures the response is mathematically precise and academically sound.

This comprehensive guide details the critical steps required before submitting a scholarly paper to Econometrics Journals (EctJ). It covers technical compliance, including adherence to specific LaTeX templates, managing page limits, optimizing summary word counts, correctly placing mathematical proofs, and addressing crucial administrative details like funding disclosure and submission fees. Use this checklist immediately prior to submission to ensure maximum readiness and minimize rejection risks.

This guide is designed for authors targeting top-tier journals like Foundations of Computational Mathematics (FoCM). It outlines the journal's high academic standards, requiring deep mathematical rigor, established theorems, and proofs (e.g., convergence, complexity bounds) at the math-computation interface. It emphasizes theoretical foundations over empirical results, making it ideal for advanced research in numerical analysis, optimization theory, and computational geometry.

A comprehensive guide for assessing mathematical manuscripts targeting top-tier journals in geometry and topology. It details the required scope, depth, and rigor across fields like low-dimensional topology, symplectic geometry, and geometric group theory, ensuring submissions meet the highest standards of proof and significance.

A critical guide for authors submitting to ICALP (International Conference on Logic, Artificial Intelligence and Programming). It clarifies that ICALP is a pure theoretical venue where the core contribution is a mathematical theorem and its verifiable proof, not a functional code artifact. This document advises authors from systems or ML backgrounds on how to adjust their focus and what constitutes a valid contribution.

This guide assists researchers in determining the optimal venue for their theoretical machine learning contributions. It provides a framework for evaluating whether a result is best suited for COLT, or if it belongs in other top-tier conferences (e.g., NeurIPS, ICML) or journals (e.g., JMLR). It emphasizes differentiating between rigorous mathematical proofs (bounds, separations) and purely empirical findings.

This skill provides comprehensive guidance for authors seeking to submit manuscripts to the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). It helps evaluate the fit of research in signal processing, speech, audio, and image processing. It guides the framing, required empirical evidence (mathematical models, reproducible validation), and optimal positioning of the paper to maximize acceptance chances.

A comprehensive guide for authors targeting top-tier systems and control journals, such as IEEE Transactions on Automatic Control (TAC). It helps authors evaluate the fit of their manuscript, transitioning from application-heavy case studies to general, provable theoretical theorems with rigorous mathematical proofs and explicitly stated assumptions. Essential for manuscript re-framing and academic submission readiness.

A comprehensive guide for authors on how to position their computational or methodological contributions when submitting to the INFORMS Journal on Computing (IJOC). It emphasizes the critical need to advance against two distinct frontiers simultaneously: the Operations Research/Mathematical Science problem domain, and the core computing methodology. Use this when reviewer feedback questions the novelty or when your work straddles OR and CS boundaries.