Skill UI

This guide provides comprehensive best practices for designing and auditing cloud system evaluations, particularly for academic submissions. It mandates that claims must be supported by measured evidence from real or realistic deployments, moving beyond simple simulations. Key metrics emphasized include tail latency (p99), operational cost modeling, and verifiable behavior under scale and multi-tenancy.

This comprehensive guide provides strict structural and technical guidelines for authors submitting papers to ACM SoCC. It mandates focusing on cloud-scale problems recognized by operators, emphasizing contributions at the intersection of systems and data. Key requirements include reporting tail latency (p95/p99) and concrete cost models, grounding every claim in measured, real-world evidence, and explicitly stating external limitations.

A comprehensive pre-submission checklist designed for academics submitting manuscripts to scholarly journals. It covers crucial formatting rules, such as specific citation styles (Author-Date), bibliography standards (GB/T 7714), appropriate use of footnotes, abstract/keyword length limits, and guidelines for maintaining anonymity during the review process. Essential for ensuring submissions meet strict academic publishing requirements.

This comprehensive guide provides a final pre-submission checklist for authors submitting theoretical manuscripts to Sociological Theory (ST). It details critical requirements, including adherence to ASA style, ensuring double-anonymous masking, verifying conceptual contributions, and meeting specific journal formatting and ethical guidelines. Designed specifically for theory-only papers, it guides authors through the submission preparation process.

A comprehensive guide for authors preparing and auditing submissions for SODA (ACM-SIAM Symposium on Discrete Algorithms). Covers critical guidelines including the no-page-limit full version requirement, strict formatting rules (11pt, single column), lightweight double-blind rules, HotCRP mechanics, and an hour-by-hour checklist for the final submission window.

A comprehensive guide for authors revising high-stakes academic papers, such as those for SOSP. It teaches how to shift focus from merely listing features to articulating core design principles, building a compelling 'Problem-to-Insight' arc, and structuring evidence-based arguments within strict length constraints. Essential for academic researchers and technical writers.

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 skill polishes academic manuscripts specifically for Social Psychology Quarterly (SPQ). It ensures the writing adheres to the ASA Style Guide, manages strict word caps (abstract, article length), and refines the argument to resonate across both sociological and psychological traditions. Use it during drafting, polishing, or preparing for submission to refine prose, structure, and adherence to complex journal guidelines.

This guide provides rigorous guidelines for integrating various forms of empirical evidence—including quantitative data, qualitative case studies, and historical comparisons—into advanced social science manuscripts. It emphasizes that evidence must actively support or test the core proposition, requiring authors to translate raw findings into conceptual insights and mechanisms, rather than simply presenting methods or data.

This comprehensive preflight checklist guides authors through the final stages of academic manuscript preparation before submission. It covers critical areas including adherence to specific journal formatting (e.g., page-bottom footnotes), structural integrity, ethical compliance (anonymity), and content coherence. Use this tool to ensure your manuscript meets all current guidelines and minimizes rejection risks.

Provides comprehensive guidelines for writing the "Related Work" and literature review sections for high-level academic publications. It emphasizes demonstrating the paper's unique contribution (delta) by organizing literature along technical threads, ensuring balanced coverage of domestic and international sources, and understanding the distinct requirements for regular papers versus specialized review commentary.

A comprehensive guide for researchers submitting academic papers, detailing the standards required for scientific reproducibility. It covers fixing experimental environments (toolchains, datasets, hardware), differentiating result sources (simulation vs. physical measurement), statistical reporting best practices, and providing clear guidelines for code and data availability statements.