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Constraint Programming (CP) Conference Advisor

brycewang-stanfordbybrycewang-stanford
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Learning & Documentation

Evaluates manuscript fit, framing, and submission strategy for the International Conference on Principles and Practice of Constraint Programming.

Tailored for computer science researchers, this skill provides structured venue-fit assessments, narrative re-framing, and submission diagnostics for manuscripts targeting the International Conference on Principles and Practice of Constraint Programming (CP). It helps authors calibrate evidence standards, navigate routing decisions between sibling venues like SAT, KR, and CPAIOR, identify desk-reject risks, and ensure adherence to official submission-cycle policies.

Key Features

01Evaluates constraint satisfaction, optimization, and search manuscripts for CP conference fit
02Provides sibling-venue routing guidance across SAT, KR, CPAIOR, and ICAPS
03Diagnoses evidence gaps in algorithmic clarity, solver comparisons, and benchmark modeling
04Identifies common desk-reject triggers regarding baselines, ablations, and anonymity rules
05Generates standardized submission checklists and rebuttal strategy recommendations
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Use Cases

01Assessing whether a combinatorial solver paper belongs at CP versus SAT or CPAIOR
02Reframing an arXiv or journal-style manuscript into a focused CP conference submission
03Auditing experimental benchmarks and baseline comparisons against CP reviewer expectations