Skill UI

This guide details the rigorous, multi-stage academic review process for submissions to top-tier conferences like SODA (Symposium on Discrete Algorithms). It covers the entire lifecycle, from initial submission and abstract assignment to deep technical refereeing, author rebuttal phases, and final PC decision-making. It provides actionable advice on writing style, addressing reviewer comments, and improving borderline papers.

This guide provides expert advice on structuring and writing the 'Related Work' section for top-tier systems conferences (like SOSP/OSDI). It emphasizes shifting from simple citation lists to structural positioning, requiring authors to identify precise differences (e.g., assumption, mechanism, guarantee) between their work and existing research. It also covers academic lineage tracing, double-blind citation rules, and handling concurrent work.

This resource models the complex, multi-stage review process for top-tier academic conferences, such as SOSP. It details the journey of a paper from initial submission through staged reviews, author rebuttal, and the final live committee decision. It helps users understand the structural dynamics of scholarly evaluation and how to strategically respond to reviewers' critiques.

This guide helps researchers evaluate if their systems project meets the standards of top-tier conferences like SOSP. It details the critical 'SOSP shape test'—requiring an extractable Principle, a real Embodiment, and evidence at the claim's scale. It provides a routing table to recommend the most appropriate venue (e.g., OSDI, NSDI) based on the project's center of gravity.

A comprehensive resource for academics targeting the South China Journal of Economics. It provides deep insight into the journal's scope, preferred topics (e.g., Greater Bay Area, open economy, digital economy), rigorous submission standards (anonymous review, fee-free), and structural requirements. Use this guide to evaluate manuscript fit, optimize framing, and reduce the risk of desk rejection before official submission.

A comprehensive guide for preparing the data, code, and materials transparency posture when submitting a manuscript to Social Psychology Quarterly (SPQ). It clarifies the journal's guidelines (encouraged, not required) regarding data sharing, covering both quantitative and qualitative research methods while strictly adhering to ethical considerations and ASA norms.

This guide teaches authors how to position their research manuscript for top-tier journals like Social Psychology Quarterly (SPQ). It emphasizes framing the work within specific sociological theoretical programs (e.g., symbolic interaction, structure–individual link) rather than general psychological findings, ensuring the contribution speaks directly to the field's ongoing academic debates.

A comprehensive checklist detailing the final pre-submission steps for Social Psychology Quarterly (SPQ) via SageTrack/ScholarOne Manuscript Central. It guides authors through masking, ASA style compliance, abstract formatting, and fee verification to ensure the manuscript meets all journal requirements and avoids temporary rejection.

A comprehensive, end-to-end audit checklist designed for authors submitting manuscripts to high-level academic journals like SSI. It covers critical areas including LaTeX formatting, selecting the appropriate article type, writing standalone bilingual abstracts, adhering to strict international citation standards (e.g., GB/T 7714), and complying with academic ethics policies (e.g., one-submission rule). Use this guide as the final quality assurance step before submission.

A detailed guide for authors submitting theoretical computer science papers, outlining the required evidence objects (proofs, certificates, code) and best practices for preparing the public, full version of the work. It emphasizes structuring arguments to meet the standards of top-tier academic conferences like STOC.

A comprehensive guide for theoretical computer science authors on converting an accepted paper into two distinct, public deliverables: a concise, citable proceedings version (extended abstract) and a comprehensive, full version for public preprint servers like arXiv. Details the formatting, copyright requirements, version control, and post-publication hygiene necessary for academic publishing.

Guidelines for ensuring academic proofs are completely verifiable by third parties, especially when theorems are distributed across multiple documents (e.g., extended abstract and full version). It emphasizes single-source builds, preventing statement drift, and detailing computational determinism requirements for maximum rigor in theoretical computer science research.