Skill UI

A comprehensive guide detailing the rigorous standards for presenting statistical exhibits in high-level econometric theory journals. It covers best practices for Monte Carlo simulations, constructing diagnostic plots (size, power, coverage, bias), ensuring legibility at print reduction, and adhering to specific file formats (TIFF/EPS/PDF).

This skill provides comprehensive guidance for authors targeting eLife, an open-access journal in life sciences. It details the unique Reviewed-Preprint model, covering rigorous standards for reproducibility, transparency, and evidential strength. Use this guide to assess if your manuscript, regardless of its novelty, aligns with eLife's mandate for open science and robust scientific reporting.

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.

Provides comprehensive guidelines for designing scientific exhibits, including figures, tables, maps, and Highlights, for interdisciplinary, policy-relevant manuscripts. It emphasizes making data self-contained, focusing on the human/policy dimensions rather than just biophysical trends, and ensuring accessibility across various formats (grayscale, print).

A comprehensive guide to navigating the intensive, multi-round post-acceptance editing cycle for academic journals. It outlines the distinct stages—from substantive argument strengthening to technical line edits and final Bluebook proofing—ensuring submissions stay on track through the required rounds and into print.

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 detailed methodology guide for authors submitting to highly competitive software engineering venues (like ICSE). It teaches how to structure the Related Work section not as a bibliography, but as a 'delta statement' that explicitly outlines the unique differences and contributions compared to the state-of-the-art across multiple publication lanes (journals, preprints, flagship venues).

A comprehensive, single-cycle master calendar and workflow guide for major academic conferences like ICSE. It details the entire ten-month journey, covering mandatory milestones from abstract submission and full paper drafting to author response, revision sprints, and final camera-ready preparation. This guide helps research teams plan backward, mitigate timeline risks, and manage complex project dependencies.

Provides comprehensive guidelines for authors submitting to major AI conferences. It helps authors audit originality, properly cite prior art (including preprints, workshop papers, and rejected versions), manage dual-submission risks, and transform the related work section from a mere list into a compelling, novel argument that clearly positions the contribution.

A comprehensive guide for designing and auditing rigorous experiments for sensing systems and information processing claims. It emphasizes the necessity of measuring performance on real hardware (not simulation), accurately instrumenting ground truth, quantifying energy consumption, latency, and physical footprint, and establishing fair, skeptical baselines. This ensures scientific rigor and reproducibility in research submissions.

This guide outlines the standards for making pure theoretical claims independently verifiable. It demands complete, self-contained proofs for all central lemmas, explicit definitions for every symbol, and precise citation for all borrowed results. It ensures that the submitted paper, the full preprint version, and the mathematical arguments are perfectly consistent, addressing the highest level of academic rigor in theoretical computer science.

This guide details the crucial rules for structuring a scientific paper submitted to conferences like ITCS. It dictates how content—including main theorems, proofs, and motivation—must be distributed across three locations: the main body, the submitted appendix, and the external full version (arXiv). The core principle ensures that all decision-critical evidence for accepting the paper resides within the submitted PDF, preventing reviewers from relying on external or unread preprints.