"Data for Mathematical Copilots: Better Ways of Presenting Proofs for ..."

Simon Frieder et al. (2024)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2412.15184

access: open

type: Informal or Other Publication

metadata version: 2025-01-23

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2412-15184
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2412-15184
Simon Frieder, Jonas Bayer, Katherine M. Collins, Julius Berner, Jacob Loader, András Juhász, Fabian Ruehle, Sean Welleck, Gabriel Poesia, Ryan-Rhys Griffiths, Adrian Weller, Anirudh Goyal, Thomas Lukasiewicz, Timothy Gowers:
Data for Mathematical Copilots: Better Ways of Presenting Proofs for Machine Learning. CoRR abs/2412.15184 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.