Skill UI

This guide details the process for achieving the Graphics Replicability Stamp (GRSI) or Code Replicability in Computer Graphics (CRCG) recognition for accepted SIGGRAPH/TOG papers. Unlike standard artifact badging, this community effort verifies that a volunteer can successfully run the code and reproduce the paper's key results, covering necessary steps like ensuring determinism, packaging assets, and long-term archiving.

A detailed guide for managing the entire academic paper submission process for major graphics conferences like SIGGRAPH and SIGGRAPH Asia. It outlines the two annual cycles, backward planning from deadlines, key milestones (results video, baselines), rebuttal strategies, and final camera-ready submission steps, ensuring researchers can manage complex timelines effectively.

This guide provides a comprehensive framework for authors responding to peer reviews in major NLP/IR conferences. It covers strategies for active rebuttal periods, pre-emptive revisions when no window exists, and planning resubmissions after rejection. Key advice includes technical rebuttal tactics (e.g., addressing baselines, significance testing), maintaining professional tone, and efficiently using existing computational evidence to maximize acceptance chances.

This guide details the critical steps and changes required to transform a reviewed SIGIR submission into the final Version of Record published via ACM Digital Library. It covers technical requirements, metadata standardization (CCS, keywords), conflict resolution, and adhering to publishing timelines and copyright protocols (e-rights, TAPS).

A comprehensive guide for packaging and evaluating research artifacts for academic conferences like SIGMETRICS. It details the requirements for achieving ACM Badges (Functional, Reusable, Reproduced) by ensuring the packaged simulation can regenerate key figures and results on a clean machine, moving beyond mere tool execution.

This comprehensive guide provides methodological frameworks for designing rigorous empirical studies in strategic management. It covers defining the sample, selecting the unit of analysis, validating key measures (performance and strategic choices), and critically, implementing robust identification designs (e.g., DID, IV, Fixed Effects) to address endogeneity and establish causal claims.

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.

A comprehensive guide for authors submitting technical papers to top-tier conferences, detailing how to effectively partition content between the main paper body and supplementary artifacts. It emphasizes the critical rule that all decision-making evidence (e.g., headline results, key performance metrics) must reside within the limited page budget of the main submission, ensuring the work is judgeable even without accessing raw data.

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 guide provides an end-to-end backward planning roadmap for submitting to the SODA conference. It covers the entire theoretical computation cycle, key deadlines (e.g., July submission, rebuttal period), writing milestones, rebuttal strategies, and group ownership discipline, ensuring authors navigate the complex academic publication process efficiently.

This skill guides users on structuring and polishing scholarly abstracts and keywords for high-impact academic journals. It emphasizes moving beyond mere background description by adopting a 'Problem → Proposition → Support → Significance' structure, ensuring the core contribution is presented first to maximize academic impact and international visibility.