Skill UI

This guide details the complex requirements for writing the 'Related Work' section for CIKM submissions. It emphasizes the need for 'three-front coverage' (Retrieval, Mining, and Knowledge Management/Databases) and provides specific instructions on writing the 'boundary-work paragraph.' It also covers critical academic hygiene, such as avoiding venue misattribution, maintaining recency baselines, and accurately stating novel contributions.

This tool maps the 'dark funnel,' identifying brand awareness and consideration signals from untracked sources like Reddit, AI chatbots, and word-of-mouth. It aggregates diverse data—including branded search trends, community mentions, and podcast data—to provide a comprehensive view of the true buyer journey, allowing marketers to measure influence beyond traditional analytics platforms.

This guide teaches authors how to strategically position their research contribution within the highly multidisciplinary scope of Environmental Science & Technology (ES&T). It emphasizes framing the knowledge gap as a process, attribution, or mechanistic question, requiring engagement across adjacent fields like chemistry, engineering, toxicology, and policy, thereby ensuring novelty and depth for review panels.

A comprehensive guide detailing how to structure the 'Related Work' section for submissions to top data mining conferences like ICDM. It emphasizes positioning the research based on core mechanisms and mining tasks, rather than simply listing results. The guide also provides critical advice on maintaining triple-blind anonymity, verifying citation venues (avoiding misattribution traps), and ensuring the novelty claim is distilled into a single, quotable mechanism-contrast sentence.

A comprehensive guide for authors submitting to top-tier security conferences (e.g., IEEE S&P). It details best practices for constructing the 'Related Work' section, focusing on defining a clear 'security delta' statement, mapping coverage across multiple attack vectors, managing resubmission overlaps (40% rule), and verifying citation attribution using tools like dblp and IEEE Xplore.

This guide provides detailed instructions for authors on structuring the Related Work section for ACM IMC papers. It emphasizes that related work must cover not only prior claims but critically analyze prior datasets, vantage points, tools, and methodologies. It teaches techniques like delta-first positioning and proper venue attribution to demonstrate deep domain expertise and avoid common academic pitfalls.

This guide provides rigorous guidelines for structuring and validating experimental results in computer architecture papers. It covers essential aspects like declaring simulation methodology contracts, ensuring result reproducibility through manifest files, selecting representative workloads, and performing detailed attribution and sensitivity analyses to distinguish true architectural gains from modeling artifacts.

A guide for authors submitting research in software testing and analysis. It teaches how to structure the related work section to clearly demonstrate novelty and technical positioning. Authors must frame their contribution using a 'delta-first' approach, explicitly stating what the nearest existing technique lacks and how their work fills that gap, while also being vigilant about venue attribution and overlapping prior work.

A detailed guide on how to write a rigorous and comparative 'Related Work' section for top-tier microarchitecture conferences (e.g., MICRO). It teaches authors to structure the section as a 'mechanism taxonomy,' differentiating designs based on structural and cost differences rather than merely listing citations. Key areas covered include sweeping academic venues, integrating industry disclosures, and verifying all venue attributions using tools like dblp.

This guide details the rigorous process of writing the "Related Work" section for top-tier mobile communications conferences like MobiCom. It covers sweeping multiple literature lanes (e.g., SIGCOMM, INFOCOM, Sibling Venues), verifying every citation's venue on dblp/ACM DL to avoid misattribution traps, and articulating the precise technical delta between the proposed mechanism and prior art. Essential reading for technical researchers.

This comprehensive guide helps authors assess the fit and rigor of their climate science manuscripts for Nature Climate Change. It covers scope boundaries, required methodological standards (e.g., attribution studies, causal inference), and structural advice for cross-disciplinary communication. Use it when targeting this prestigious venue or needing to re-frame your work for maximum impact.

This guide provides strict guidelines for authors writing the "Related Work" section for top-tier programming language theory conferences like POPL. It emphasizes moving beyond general literature reviews to pinpoint precise, technical "delta sentences" that prove novelty against neighboring formal systems. It covers citation standards, venue mapping, and attribution verification for maximum academic impact.