Aghion, Jones & Jones (2017)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Abdou et al. (2021)concept0.700
  Discovered that color distances in language representations mirror human perceptual distances; reproduced and extended in this paper
• Zimmermann et al. (2021)concept0.685
  Showed contrastive learning inverts the data generating process; supports claim that contrastive learners recover statistics of underlying world
• Baker et al. 2017concept0.681
  Reference for ToM modeled through partially observable inference of others' beliefs
• Antonello & Huth (2024)concept0.677
  Posited that generality of representations rather than particular task explains alignment with biological representations
• Bansal, Nakkiran & Barak (2021)concept0.661
  Introduced the Anna Karenina scenario for neural representations; key prior work that the PRH extends
• Tabor and Burr 2019concept0.660
  Cited as support for Bayesian approaches to pain as a learning signal
• Watkins and Dayan 1992concept0.655
  Original Q-Learning paper cited for the learning algorithm used in all agents
• Richens & Everitt (2024)concept0.652
  Showed robust agents learn causal world models; related to PRH claim about convergence to reality model