What is Problem Mining? This is a tool based on data of arXiv.org which periodically scans packets of full texts of papers hosted on arXiv and available through arXiv's bulk data access policy, with the aim to automatically detect papers containing discussions on open problems or conjectures. It then creates a list from the detected papers putting together papers' descriptive data and some short snippets extracted from the full texts displaying an information on open problems or conjectures presented in the paper. The papers appearing on this list are only references to the arXiv's versions and we do NOT store the actual papers (TeX sources or PDFs) on our servers. To read any of the papers in this list one needs to follow the arXiv link displayed on the papers' blocks.

You can search within the list using keywords, author names, and subject area. By a simple click of the Interesting button, you may anonymously indicate your interest in the problem. If you think the automatic extraction resulted in incorrect data, you may click on the False positive button instead. The Stats section shows the worldwide interest by our users on a specific problem.

  • Explicit Noether Normalization for Simultaneous Conjugation via Polynomial Identity Testing


    year of publication: 2013 arXiv

    • Algebraic Geometry
    • Computational Complexity
    • Rings and Algebras
    • Symbolic Computation
  • An exact real-space renormalization method and applications


    year of publication: 2013 arXiv

    • Strongly Correlated Electrons
  • A Sufficient Condition for Partial Ensemble Controllability of Bilinear Schrödinger Equations with Bounded Coupling Terms


    year of publication: 2013 arXiv

    • Optimization and Control
  • Lipschitz Equivalence of Self-Similar Sets: Algebraic and Geometric Properties


    year of publication: 2013 arXiv

    • Dynamical Systems
    • Geometric Topology
    • Metric Geometry

    MSC 2010: 28A80

  • Exact conservation and breaking of pseudospin symmetry in single particle resonant states


    year of publication: 2013 arXiv

  • Classification and Analysis of Mean Curvature Flow Self-Shrinkers


    year of publication: 2013 arXiv

    • Differential Geometry
  • When Hamilton circuits generate the cycle space of a random graph


    year of publication: 2013 arXiv

    • Combinatorics

    MSC 2010: 05C45 05C50

  • A cluster algebra approach to q-characters of Kirillov-Reshetikhin modules


    year of publication: 2013 arXiv

    • Algebraic Geometry
    • Combinatorics
    • Quantum Algebra
    • Representation Theory

    MSC 2010: 17B37

  • Ramsey numbers for multiple copies of hypergraphs


    year of publication: 2013 arXiv

    • Combinatorics

    MSC 2010: 05C15

  • Learning AMP Chain Graphs and some Marginal Models Thereof under Faithfulness: Extended Version


    year of publication: 2013 arXiv

    • Artificial Intelligence
    • Machine Learning
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