🛰️ Daily AI Frontier
‹ back to 2026-07-22

PertReason: A Knowledge-Grounded Benchmark and Framework for Cell-State-Conditioned Mechanistic Reasoning of Perturbation Effects

arXiv cs.LG Bioinformatics AI Dongkwan Kim, Yiming Gao, Yining Yang, Yang Shen 2026-07-21

TL;DR - PertReason is a benchmark and framework for evaluating whether models explain single-cell perturbation effects with mechanisms grounded in cell-specific states. It exposes failures that predictive accuracy alone misses, including correct answers derived from flawed or context-insensitive reasoning.

  • PertReasonQA combines genetic and chemical perturbation data across cellular contexts with knowledge graphs.
  • Dynamic pathway conditioning tests robustness to unseen perturbations, new cells, and differing basal states.
  • Evaluated models sometimes ignore cellular context or produce directionally inconsistent mechanisms.
  • PertReasonLM aligns outcome predictions with context-specific, pathway-grounded rationales as a reference approach.

view merged work →