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.

  • Understanding Jets from Sources Straddling the Fanaroff-Riley Divide


    year of publication: 2014 arXiv

    • Astrophysics of Galaxies
    • High Energy Astrophysical Phenomena
  • The torsion of a finite quasigroup quandle is annihilated by its order


    year of publication: 2014 arXiv

    • Geometric Topology

    MSC 2010: 18G60 55N35 57M27

  • Tree decompositions and social graphs


    year of publication: 2014 arXiv

    • Applications
    • Data Structures and Algorithms
    • Physics and Society
    • Social and Information Networks
  • Injective Hulls of Simple Modules Over Nilpotent Lie Color Algebras


    year of publication: 2014 arXiv

    • Rings and Algebras
  • Double canonical bases


    year of publication: 2014 arXiv

    • Quantum Algebra
  • Causality and skies: is non-refocussing necessary?


    year of publication: 2014 arXiv

    • Differential Geometry
    • Mathematical Physics
  • Non-observable nature of the nuclear shell structure. Meaning, illustrations and consequences


    year of publication: 2014 arXiv

  • Optical Character Recognition, Using K-Nearest Neighbors


    year of publication: 2014 arXiv

    • Computer Vision and Pattern Recognition
  • How Well Can Graphs Represent Wireless Interference?


    year of publication: 2014 arXiv

    • Data Structures and Algorithms
    • Networking and Internet Architecture
  • On Match Lengths, Zero Entropy and Large Deviations - with Application to Sliding Window Lempel-Ziv Algorithm


    year of publication: 2014 arXiv

    • Information Theory
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