MapHub: Daily Relevance Heatmaps of New arXiv Preprints for a Research Community

@misc{cao2026maphub,
  title = {{MapHub: Daily Relevance Heatmaps of New arXiv Preprints for a Research Community}},
  author = {Kaili Cao and Camille Avestruz and Feige Wang},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2611.07174},
  eprint = {2611.07174},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2611.07174},
}

TY  - UNPB
TI  - MapHub: Daily Relevance Heatmaps of New arXiv Preprints for a Research Community
AU  - Kaili Cao
AU  - Camille Avestruz
AU  - Feige Wang
PY  - 2026
DA  - 2026/11/04
PB  - arXiv
DO  - 10.48550/arxiv.2611.07174
UR  - https://arxiv.org/abs/2611.07174
AB  - MapHub, the MIDAS arXiv Preprint Hub, assesses each day's new arXiv submissions for every participant in a research community, with a large language model reading each paper against portfolios built for the participants. It publishes the relevance scores, from 0 to 100, as a heatmap that shows whose work each paper touches. In the authors' blind ratings, the top 10\% of papers by MapHub's scores held about 70\% of the raters' own top 5\%, pooled, against about a third for a text-matching baseline. About 6\% of a day's astro-ph papers reach 30 for each participant, and one every three days reaches 60. MapHub runs on a standard Claude subscription and is designed to be useful for any field: https://github.com/kailicao/maphub-public.
ER  -