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.

  • Entanglement is not Enough


    year of publication: 2014 arXiv

  • Durfee's conjecture on the signature of smoothings of surface singularities


    year of publication: 2014 arXiv

    • Algebraic Geometry
    • Complex Variables
  • Building a Better Boosted Top Tagger


    year of publication: 2014 arXiv

  • A lower bound for the nodal sets of Steklov eigenfunctions


    year of publication: 2014 arXiv

    • Analysis of PDEs
  • Simulation studies on online constraint removal with a Lyapunov function


    year of publication: 2014 arXiv

    • Optimization and Control
  • Analytical approach to swift nonleaky entangling gates in superconducting qubits


    year of publication: 2014 arXiv

    • Mesoscale and Nanoscale Physics
  • On the structure of instability in moduli theory


    year of publication: 2014 arXiv

    • Algebraic Geometry

    MSC 2010: 14D20 14D23

  • Invertible dynamics on blow-ups of P^k


    year of publication: 2014 arXiv

    • Algebraic Geometry
    • Complex Variables
    • Dynamical Systems

    MSC 2010: 14E07 32H50 37F99

  • A statistical model for tensor PCA


    year of publication: 2014 arXiv

    • Information Theory
    • Machine Learning
  • Using almost-everywhere theorems from analysis to study randomness


    year of publication: 2014 arXiv

    • Logic
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