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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.

This guide provides guidelines for ensuring that academic proofs are independently verifiable, particularly for proofs-focused conferences. It covers creating self-contained proof appendices, meticulously defining all underlying assumptions in a 'model box' contract, and ensuring perfect synchronization between the short conference proceedings and the full arXiv version.

This guide provides critical advice on structuring technical research papers for major academic conferences. It emphasizes the crucial distinction between 'decision-critical' content (must appear in the first 10 pages) and 'verification-detail' content (can be deferred to the appendix). It also advises on choosing the correct submission track (Regular Paper vs. Brief Announcement).

This guide details the standards for submitting theoretical computer science papers, focusing on the required "formal-claims package." It emphasizes that the deliverable is not a runnable systems artifact, but a rigorous academic package containing a complete, self-contained proof appendix, a clear mapping of every stated claim to its proof location, and a full, publicly available version on arXiv.

This guide details the specific rules for assembling supplementary material for PODS submissions. It covers how to correctly partition content between the main 15-page body and the appendix, ensuring all mathematical proofs are complete, self-contained, and included within a single PDF file. It also addresses double-anonymous hygiene and page budget discipline.

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 checklist and guide for authors preparing manuscripts for scholarly submission, specifically for Public Opinion Quarterly (POQ) via ScholarOne. It ensures compliance with double-blind anonymity, specific word count caps, mandatory AAPOR disclosure elements (Appendix A), and proper data archiving protocols (Dataverse). Use this guide as the final critical check before clicking 'Submit'.

This guide outlines the rigorous data and transparency requirements for submitting academic manuscripts, particularly for social science journals. It details two core components: methodological disclosure via 'Appendix A: Disclosure Elements' and building a complete replication package. Authors must ensure all published tables and figures can be reproduced exactly using deposited data and code in a permanent archive (Dataverse) before the paper advances to typesetting.

This guide helps researchers structure their academic papers for the PPoPP conference. It outlines the principle of 'decision-criticality,' advising authors to keep core correctness arguments, headline scaling curves, and design insights in the main body, while moving bulk data, full proofs, and extensive sweeps to the artifact or appendix.

Provides comprehensive guidelines for authors submitting long-form research papers to academic journals like PR&AI. It teaches how to strategically segment content, ensuring core arguments reside in the main text while detailed proofs, extra experiments, and supplementary data are moved to appendices, maintaining academic rigor and readability.

This guide provides authors with best practices for structuring scientific papers, specifically focusing on the division of content between the main body (The Letter) and the Supplemental Material (SM). It emphasizes the 'stand-alone' rule, ensuring the core argument remains fully understandable without consulting the SM, while effectively organizing detailed derivations, extended datasets, and secondary controls in the appendix.

A comprehensive methodological guide for structuring the robustness checks and online appendix of high-level empirical economics manuscripts, specifically tailored to the standards of the Quarterly Journal of Economics (QJE). It provides a structured approach to defending the identification assumption, selection, measurement, and inference, ensuring the paper anticipates and addresses potential referee critiques.