KDD Paper Related Work Auditor

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Positions ACM SIGKDD academic submissions against core data mining lineages and adjacent ML venues with rigorous mechanism-level contrast.

The KDD Paper Related Work Auditor helps researchers craft and refine the related work section for ACM SIGKDD submissions. It ensures papers appropriately position their technical contributions against historical KDD lineages, sibling mining venues (ICDM, SDM, WSDM, CIKM), and ML flagships (NeurIPS, ICML, ICLR). By detecting venue misattributions (such as confusing ICDM with KDD papers), instantiating mechanism-contrast novelty sentences, and managing overlap declarations for resubmissions and arXiv preprints, this skill ensures your literature positioning meets the high standards expected by SIGKDD reviewers.

主な機能

01Audits paper positioning against canonical KDD lineage ancestry chains
02Generates mechanism-contrast novelty templates contrasting ML and data mining baselines
031,086 GitHub stars
04Detects common venue misattribution traps before submission freeze
05Provides triangulated multi-lane positioning across mining, ML flagships, and domain applications
06Evaluates cross-cycle resubmission, sibling track, and arXiv overlap declarations

ユースケース

01Structuring resubmission change summaries and concurrent arXiv work declarations
02Formulating crisp mechanism-contrast novelty arguments against existing state-of-the-art baselines
03Auditing and rewriting a related work section prior to ACM SIGKDD submission deadlines