Skill UI

This comprehensive guide helps authors determine if their manuscript is suitable for the Financial Cryptography and Data Security (FC) conference. It covers the specific scope fit, required evidence standards (including threat models and economic context), and best practices for re-framing general CS research into a finance/security-focused narrative, ensuring the paper meets the expectations of the specialized review community.

This guide provides expert recommendations on organizing supplementary material for academic papers. It teaches authors how to distinguish between load-bearing evidence (for the main text) and reassuring, secondary data (for the internet appendix). Proper indexing, cross-referencing, and material triage are critical for creating a lean, navigable, and highly persuasive manuscript.

This guide instructs authors on crafting highly targeted and convincing robustness sections for empirical finance papers. Instead of merely adding volume, it teaches the concept of 'subtraction, then precision'—identifying specific alternative explanations (threats) a referee might raise (e.g., reverse causality, omitted variables) and selecting the minimal, most effective check to neutralize each threat. This aligns with the philosophy of top-tier financial journals that value new ideas over superficial testing.

This guide offers advanced methodological advice for structuring the 'Related Work' section for top-tier theoretical computer science conferences (like FOCS). It teaches researchers how to treat research history as 'lineage engineering,' requiring precise citation of specific preprints (arXiv version pinning), distinguishing between conference and journal versions, and transparently addressing concurrent results. This ensures the bibliography is rigorous, consistent, and withstands expert review.

A comprehensive guide for authors submitting to top-tier Software Engineering (SE) conferences (like FSE, ICSE). It details how to structure the Related Work section by focusing on the 'delta'—the unique difference—between your work and prior art. It emphasizes covering the full SE literature landscape, maintaining anonymity, and correctly declaring overlaps with concurrent or prior versions.

This guide outlines the mandatory open data and code requirements for publishing in Global Change Biology (GCB). It details that primary and secondary data, along with supporting code/software, must be archived in public, DOI-minting repositories (e.g., Dryad, Zenodo) prior to acceptance. It emphasizes that 'available on request' is not accepted and provides a structured checklist for ensuring reproducibility and proper metadata submission.

This skill audits the accuracy and academic rigor of legal citations, particularly for law review articles following The Bluebook style. It ensures proper authority hierarchy (primary vs. secondary), correct use of pinpoint citations, and proper signal usage (e.g., See, Cf., But see). It is essential for academic legal writing to ensure submissions meet the highest standards of scholarly rigor.

A comprehensive guide for structuring the related work section in interdisciplinary HRI papers. It teaches authors how to simultaneously situate their research across multiple literatures—including robotics, HCI, psychology, and design—while employing a 'delta-first' argument to clearly articulate novelty and maintaining double-blind review compliance.

A comprehensive guide on how to structure the 'Related Work' section for top-tier theoretical computer science conferences (like ICALP). It teaches authors how to prove their results are genuinely new and better by precisely comparing their bounds against the best known literature, correctly crediting prior venues (STOC, FOCS, etc.), and maintaining academic rigor under double-blind guidelines.

This guide helps researchers determine if their theoretical computer science result is suitable for ICALP, the premier European conference. It details the crucial two-step decision process: first, selecting the correct venue (ICALP vs. STOC/FOCS/SODA/Journals), and second, classifying the work into the appropriate specialized track (Track A: Algorithms, or Track B: Logic, Automata, and Semantics).

A comprehensive guide for structuring the "Related Work" section for top-tier computer vision conferences (ICCV, CVPR, ECCV). It covers best practices for citing intervening-cycle literature, managing concurrent preprints, ensuring double-blind anonymity, and correctly attributing source venues to maximize novelty perception and score highly with reviewers.

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.