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.

  • Polynomial Kernels and Wideness Properties of Nowhere Dense Graph Classes


    year of publication: 2016 arXiv

    • Discrete Mathematics
  • Quasinormal Modes and Thermodynamics of Linearly Charged BTZ Black holes in Massive Gravity in (Anti)de Sitter Space Time


    year of publication: 2016 arXiv

  • Rigidity for partially hyperbolic diffeomorphisms


    year of publication: 2016 arXiv

    • Dynamical Systems
  • Fundamental aspects of steady-state conversion of heat to work at the nanoscale


    year of publication: 2016 arXiv

    • Mesoscale and Nanoscale Physics
    • Statistical Mechanics
  • Asymptotic dynamics, large gauge transformations and infrared symmetries


    year of publication: 2016 arXiv

    • Mathematical Physics
  • Asymmetric core collapse of rapidly rotating massive star


    year of publication: 2016 arXiv

    • High Energy Astrophysical Phenomena
  • Channel Estimation and Uplink Achievable Rates in One-Bit Massive MIMO Systems


    year of publication: 2016 arXiv

    • Information Theory
  • $T \bar{T}$-deformed 2D Quantum Field Theories


    year of publication: 2016 arXiv

  • Weak convergence to extremal processes and record events for non-uniformly hyperbolic dynamical systems


    year of publication: 2016 arXiv

    • Dynamical Systems
  • Probabilistic Data Analysis with Probabilistic Programming


    year of publication: 2016 arXiv

    • Artificial Intelligence
    • Machine Learning
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