ICALP Paper Related Work Positioning
Crafts precise related-work and literature positioning sections for ICALP theoretical computer science papers with strict double-blind compliance.
The ICALP Related Work skill helps theoretical computer science researchers structure, compare, and polish the related work sections of submissions to ICALP (EATCS) and top-tier theory venues like STOC, FOCS, SODA, and LICS. It ensures sharp mathematical delta comparisons against the best-known upper and lower bounds, prevents attribution errors across conference and journal editions, and enforces lightweight double-blind self-citation rules to avoid accidental de-anonymization during peer review.
主要功能
01Enforces third-person self-citation formatting for lightweight double-blind review compliance
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03Formulates delta-first comparisons against the best-known theoretical bounds and conditional assumptions
04Structures coverage across critical literature lanes including algorithms, hardness, and models
05Verifies venue attribution across conference originals and definitive journal records
06Identifies common reviewer red flags like missing lower bounds or vague delta claims
使用场景
01Anonymizing citations and self-references prior to double-blind conference submission
02Benchmarking new algorithmic bounds against established results from STOC, FOCS, and SODA
03Writing or revising the related work section for an ICALP Track A or Track B theoretical submission