Skill UI

This comprehensive guide outlines the rigorous, multi-step process required for authors to finalize and submit their accepted papers for VLDB proceedings. It covers essential technical compliance points, including using the correct volume template, ensuring PDF/A compliance with embedded fonts, adhering to figure legibility rules, and detailing the permanent storage of research artifacts (DOI-backed). It also outlines the associated conference presentation obligations.

A comprehensive guide for authors submitting to academic conferences, addressing strict page limitations where appendices count against the core budget. It details best practices for distributing supplementary evidence across three external homes: the main paper, dedicated arXiv technical reports, and artifact repositories. The guide emphasizes maintaining self-containment, managing version discipline, and strategically cutting content to ensure the core claims are reviewable.

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.

A comprehensive guide for structuring the 'Related Work' section in academic papers, especially in Computer Vision (CV). It teaches authors how to strategically position their research contribution by covering multiple literature shelves: vision methods, domain constraints, concurrent arXiv work, and prior art. This ensures the paper clearly defines a unique gap rather than merely listing citations, adhering to double-blind review standards.

A comprehensive guide for strengthening the reproducibility of academic papers, especially those involving systems claims (e.g., power usage, latency). It details maintaining a 'recipe ledger' for all reported metrics, ensuring constraint-aware measurement of environmental variables, and managing data/artifact consistency across the entire two-round revision process.

A comprehensive guide for researchers on how to effectively position academic contributions, particularly for top-tier development economics journals. It instructs users to move beyond merely stating a research topic (e.g., 'first to study X in Y') by framing their findings as generalizable claims about underlying mechanisms or quantitative gaps. Key focus areas include linking academic gaps to active development policy debates and strategically distinguishing the work from similar fields like JDE or World Development.

This guide provides a structured framework for conducting and presenting robust checks in econometric manuscripts, particularly relevant for studies using developing-country data. It moves beyond simple appendix dumping by organizing tests around potential identification threats and specific data-quality risks (e.g., measurement error, coverage gaps). It helps ensure the core findings are load-bearing against sophisticated academic scrutiny.

A comprehensive guide detailing when and how to structure theoretical models in development economics research, particularly for World Bank Economic Review submissions. It emphasizes that models must serve a functional purpose—such as interpreting empirical coefficients, running policy counterfactuals, or aggregating to welfare statements—rather than being decorative. Key principles cover parameter identification, matching structural frictions to the local setting, and handling counterfactual assumptions (Lucas critique).

Provides comprehensive guidelines for packaging and submitting research artifacts (datasets, models, code) for major conferences. It details the difference between mere 'existence' (badge verification) and true academic 'reproducibility,' covering archival strategies, web data licensing, takedown resilience, and minimal viable package structure for long-term scholarly impact.

A comprehensive guide for authors preparing camera-ready submissions for Web Conferences. It covers the critical pre-acceptance steps, such as de-anonymization, restoring acknowledgements, managing ACM e-rights, and submitting associated artifacts. Learn how to navigate the tight production pipeline, ensuring compliance with ACM standards and meeting strict page limits.

This guide provides critical advice on how to position scholarly articles, particularly in Comparative Politics and International Relations. It teaches authors to move beyond single-country case studies by framing their work within a live, cross-case academic debate. Learn how to identify theoretical gaps, engage with key literature, and articulate your unique contribution to the wider field.

This guide helps scholars rigorously defend the methodological design of academic papers, particularly in International Relations and Comparative Politics. It covers advanced techniques such as process tracing, case selection logic, quantitative cross-national panel data analysis (DID, IV, RDD), and experimental design. Its core purpose is to strengthen causal claims by explicitly addressing selection bias, defining scope conditions, and ruling out major rival explanations.