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.

  • Newton-Okounkov bodies, cluster duality, and mirror symmetry for Grassmannians


    year of publication: 2017 arXiv

    • Algebraic Geometry
    • Combinatorics
  • Non-branching tree-decompositions


    year of publication: 2017 arXiv

    • Combinatorics
    • Discrete Mathematics
  • Cubic Lagrange elements satisfying exact incompressibility


    year of publication: 2017 arXiv

    • Numerical Analysis

    MSC 2010: 65N30

  • Adaptive Group Testing Algorithms to Estimate the Number of Defectives


    year of publication: 2017 arXiv

    • Data Structures and Algorithms
  • On the treewidth of triangulated 3-manifolds


    year of publication: 2017 arXiv

    • Combinatorics
    • Computational Geometry
    • Geometric Topology

    MSC 2010: 05C75 57M15 57N10 57Q15

  • A Ginzburg-Landau type problem for highly anisotropic nematic liquid crystals


    year of publication: 2017 arXiv

    • Analysis of PDEs
  • Quasisymmetrically co-Hopfian Sierpiński Spaces and Menger Curve


    year of publication: 2017 arXiv

    • Complex Variables
    • Metric Geometry
  • Statistical Design of Chaotic Waveforms with Enhanced Targeting Capabilities


    year of publication: 2017 arXiv

    • Chaotic Dynamics
    • Disordered Systems and Neural Networks
    • Mesoscale and Nanoscale Physics
    • Optics
  • Factorization Theorems for Generalized Lambert Series and Applications


    year of publication: 2017 arXiv

    • Number Theory

    MSC 2010: 05A17 05A19 11A25 11P81

  • Regular Bipartite Lattices with Large Values of Theta_2,2,2/C_4


    year of publication: 2017 arXiv

    • Combinatorics
    • Mathematical Physics
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