STOC Paper Topic Selection
Evaluates theoretical computer science research to determine publication fit for STOC, FOCS, specialized conferences, or top-tier theory journals.
STOC Paper Topic Selection provides theoretical computer science researchers with a systematic framework to evaluate whether a result possesses the broad significance required for ACM STOC and IEEE FOCS. By applying structured breadth tests—the corridor, lineage, and technique tests—this skill helps authors assess cross-area appeal, distinguish flagship-level contributions from specialized domain breakthroughs, and route manuscripts accurately to targeted venues like SODA, CCC, ITCS, COLT, CRYPTO, or archival journals such as JACM and SICOMP without prestige laddering.
Key Features
01Anti-pattern detection against deadline-driven submissions and prestige laddering
02Comprehensive routing map matching specialized research signals to targeted theory venues
03Strategic guidance on honestly framing and generalizing borderline theoretical results
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05Three-part breadth test evaluating corridor appeal, problem lineage, and technique transferability
06Structured decision procedure with standardized venue fit assessments and output formatting
Use Cases
01Deciding whether a theory result meets the broad significance threshold for STOC or FOCS
02Assessing whether a mature, complete theoretical contribution should bypass conference cycles for direct journal submission
03Routing specialized algorithmic, complexity, or cryptographic results to ideal niche venues like SODA or CRYPTO