That makes a lot more sense. Thank you very much for helping me with this. I am trying to see if the hosting provider can resolve this issue now otherwise we will look for other options.

Thank you. I see that the last modified time stamp on the file is of Dec 12 from your message. The changes I made to the bibtex file that I mentioned in this thread earlier are done on Dec 12 (after the mentioned modifications time stamp in the message above), and on Dec 16. But here is another issue that I am still not clear about:

When I download the bib file using the link (https://research.seas.ucla.edu/licos/files/2019/08/publicactions_v1.bib), I am able to see the changes made by me on Dec 12 in the downloaded version of the file (which is change 1 in the mentioned changes to the bibtex file in this thread). Therefore, I assume that the older version is no longer cached by the hosting provider. However, the BibBase page does not show these changes (where it should add the URL and the abstract to the mentioned publication). I am not clear what is the issue here?

For the changes I made on Dec 16 (which is change 2 in the mentioned changes to the bibtex file in this thread), they are still not updated on the downloaded version of the file using the link. Therefore, it seems like my hosting provider is still distributing the older cached version of the file as you suggested.

Thanks,

Dhaivat

Hi Christian,

Yes, the link is correct, and the number of entries displayed is correct as well.

I have made the following changes:

1. I have added URL and abstract to the following publication which does not appear on the page:

@article{nikolopoulos2020group,
  title={Group testing for overlapping communities},
  author={Nikolopoulos, Pavlos and Srinivasavaradhan, Sundara Rajan and Guo, Tao and Fragouli, Christina and Diggavi, Suhas},
  journal={arXiv preprint arXiv:2012.02804},
  year={2020},
  type={1},
  tags={journalSub,PET},
}

2. I have added an author to the following publication but it does not appear as well:

@article{nikolopoulos2020community,
 abstract = {Group testing pools together diagnostic samples to reduce the number of tests needed to identify infected members in a population. The observation we make in this paper is that we can leverage a known community structure to make group testing more efficient. For example, if n population members are partitioned into F families, then in some cases we need a number of tests that increases (almost) linearly with kf, the number of families that have at least one infected member, as opposed to k, the total number of infected members. We show that taking into account community structure allows to reduce the number of tests needed for adaptive and non-adaptive group testing, and can improve the reliability in the case where tests are noisy.},
 author = {Nikolopoulos, Pavlos and Guo, Tao and Fragouli, Christina and Diggavi, Suhas},
 journal = {arXiv preprint arXiv:2007.08111},
 tags = {journalSub,PET},
 title = {Community aware group testing},
 type = {1},
 url_arxiv = {https://arxiv.org/abs/2007.08111},
 year = {2020}
}

Please let me know if you need any other information.

Thanks,

Dhaivat