Skill UI

This comprehensive audit checklist guides authors through the final pre-upload steps for major academic conferences like MobiCom. It covers critical areas including HotCRP site confirmation, adherence to strict formatting rules (columns, page limits), maintaining double-blind anonymity, and mitigating wireless-specific identity leaks to ensure a smooth and compliant submission process.

This guide provides detailed academic instructions on structuring the 'Related Work' section for mobile systems conferences like MobiSys. It teaches authors how to position their novelty by covering adjacent literature lanes (e.g., on-device ML, offload, mobile OS) and differentiating their work from existing, similar state-of-the-art systems, while maintaining rigorous academic integrity.

A comprehensive guide for authors submitting to top-tier NLP conferences (like NAACL/ARR). It details how to strategically allocate material across different submission tiers—Core Content, Limitations, Appendix, and Supplementary Uploads—to ensure the main argument remains robust and fully supported, regardless of which parts reviewers are obligated to read.

This comprehensive guide provides a structured project management workflow for academic research targeting the NAACL conference. It addresses the unique challenge of NAACL's irregular calendar (skipped years) by providing a detailed backward planning timeline, managing milestones (data freeze, paper freeze, ARR upload), and implementing a critical decision tree for committing, waiting, or rerouting submissions when conference windows shift.

A comprehensive checklist for authors preparing to submit academic conference papers. This guide details mandatory final audits covering double-blind anonymity, ethical compliance, formatting standards, conflict declarations, and the strict submission timeline, ensuring the paper passes pre-upload quality gates.

This guide outlines the rigorous standards for writing top-tier distributed systems conference papers. It details the mandatory narrative arc—moving from an operational pain point to a named design principle—and emphasizes that every claim must be supported by precise, measured evidence (e.g., percentiles and specific workloads) rather than relying on superlatives or vague adjectives. It also provides guidance on structuring the argument, budgeting page space, and designing figures as core evidence.

This guide provides a framework for designing and auditing the experimental rigor of academic papers, particularly in systems and programming languages. It emphasizes the crucial link between a claim type (e.g., 'Faster') and the required evidence type (e.g., benchmarks, user studies, formal proofs). Learn how to establish robust baselines, define clear workload rules, size experiments for conference cycles, and ensure statistical compliance for maximum impact.

This guide helps researchers evaluate whether their high-impact optics or photonics manuscript meets the stringent criteria of Optica. It covers ideal scope (e.g., nanophotonics, quantum optics), required experimental rigor (quantitative measurements, state-of-the-art benchmarking), article structure (concise, load-bearing figures), and official submission guidelines, ensuring the work is framed for broad scientific interest.

A comprehensive late-stage review pass designed for academic manuscripts targeting Organization Science. This skill ensures the paper effectively front-loads the core argument and contribution, translating complex ideas for an interdisciplinary, micro-to-macro audience. It enforces strict adherence to INFORMS house style, structural rigor, and cross-level consistency.

A comprehensive checklist designed for authors submitting manuscripts to academic journals, specifically modeled after the requirements for Organization Studies (OS). It covers critical steps such as ensuring proper double-anonymization, adhering to strict word limits (e.g., 13,000 words), formatting guidelines (SAGE Harvard), and structuring abstracts and keywords. This tool ensures the manuscript is submission-ready before the final upload.

A comprehensive guide for structuring academic system evaluation papers (e.g., OSDI). It dictates how to frame experiments around core research questions, select robust baselines, utilize realistic workloads (including adversarial tests), and apply rigorous measurement disciplines (e.g., reporting distributions, p99s) while maintaining conciseness within strict page limits.

Provides a rigorous framework for ensuring the reproducibility of systems research presented at conferences like OSDI. It mandates maintaining a comprehensive, machine-readable provenance ledger that records hardware specifications, software dependencies, workload traces, and measurement policies throughout the entire experimental lifecycle, preventing 'artifact drift' and ensuring verifiable results.