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STOC Related Work & Literature Positioning

brycewang-stanfordbybrycewang-stanford
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Learning & Documentation

Positions theoretical computer science papers against existing literature for STOC submissions with rigorous bound tracking, version-aware citations, and double-blind compliance.

Designed specifically for authors submitting to the ACM Symposium on Theory of Computing (STOC), this skill provides rigorous guidance for constructing comprehensive related work sections and prior-art comparison tables. It helps theoreticians accurately trace bound-improvement lineages across algorithmic models, manage complex conference-journal-preprint citation pairs using dblp standards, handle concurrent arXiv and ECCC discoveries fairly, and ensure absolute compliance with double-blind self-citation rules to avoid desk rejections and credibility loss.

Key Features

01Enforces strict double-blind self-citation protocols to protect author anonymity
02Guides fair and standardized framing for concurrent arXiv and ECCC preprints
03Traces quantitative bound-improvement lineages across direct competitors, barriers, and neighboring models
04Provides a structured deadline-week literature sweep checklist across dblp, arXiv, and conference acceptance lists
05Ensures version-aware citation hygiene between conference extended abstracts, journal versions, and preprints
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Use Cases

01Drafting the related work and introduction comparison tables for a STOC or FOCS paper submission
02Auditing citations and self-references for double-blind anonymity compliance prior to deadline submission
03Conducting deadline-week preprint sweeps on arXiv and ECCC to detect and integrate concurrent discoveries