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VLDB Conference Submission Strategist

brycewang-stanfordbybrycewang-stanford
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Aprendizaje y Documentación

Evaluates database manuscripts for VLDB fit, reframes submission narratives, and identifies evidence gaps to prevent desk rejects.

The VLDB Conference Submission Strategist skill guides researchers targeting the International Conference on Very Large Data Bases (VLDB) and Proceedings of the VLDB Endowment (PVLDB). It assesses conference fit, calibrates research framing for database systems reviewers, highlights evidence gaps across benchmarks and workloads, and evaluates pre-submission risks such as anonymity violations and dual-submission traps. By distinguishing VLDB's archival systems bar from sibling venues like ACM SIGMOD and IEEE ICDE, this skill helps authors optimize their papers for rolling monthly deadlines and rigorous empirical standards.

Características Principales

01Provides routing guidance distinguishing VLDB from SIGMOD, ICDE, and KDD
02Flags common desk-reject risks including formatting, anonymity, and proof gaps
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04Evaluates research fit for VLDB and PVLDB database management scopes
05Audits empirical evidence against large-scale database benchmark standards
06Delivers structured feedback reports with actionable re-framing recommendations

Casos de Uso

01Diagnosing empirical and theoretical evidence gaps before submitting to PVLDB rolling deadlines
02Evaluating whether a database systems paper fits VLDB or needs re-routing to SIGMOD or ICDE
03Reframing an arXiv preprint or journal manuscript into a competitive VLDB conference narrative