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.

  • Crystal interpretation of a formula on the branching rule of types $B_{n}$, $C_{n}$, and $D_{n}$


    year of publication: 2016 arXiv

    • Quantum Algebra
  • Non-robustly intermingled basins for perturbations of time-one map of Anosov flows


    year of publication: 2016 arXiv

    • Dynamical Systems
  • From deterministic cellular automata to coupled map lattices


    year of publication: 2016 arXiv

    • Adaptation and Self-Organizing Systems
    • Cellular Automata and Lattice Gases
    • Chaotic Dynamics
    • Pattern Formation and Solitons
  • Ab initio calculation of Hubbard parameters for Rydberg-dressed atoms in an one-dimensional optical lattice


    year of publication: 2016 arXiv

    • Quantum Gases
  • Kinetic theory of a longitudinally expanding system


    year of publication: 2016 arXiv

  • Additive Approximations in High Dimensional Nonparametric Regression via the SALSA


    year of publication: 2016 arXiv

    • Machine Learning
  • Collusive Attacks to "Circle-Type" Multi-party Quantum Key Agreement Protocols


    year of publication: 2016 arXiv

  • Squarefree integers in large arithmetic progressions


    year of publication: 2016 arXiv

    • Number Theory

    MSC 2010: 11L05 11N37

  • The Capacity of Online (Causal) $q$-ary Error-Erasure Channels


    year of publication: 2016 arXiv

    • Information Theory
  • Weighted $L^p$ bounds for the Marcinkiewicz integral


    year of publication: 2016 arXiv

    • Classical Analysis and ODEs

    MSC 2010: 42B25

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