Task-aligned supervised geometric stability predicts linear steerability with high accuracy while unsupervised stability detects representational drift earlier and with lower false alarms than CKA or Procrustes.
Raju.Shesha: Self-Consistency Metrics for Representational Stability
4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
years
2026 4verdicts
UNVERDICTED 4roles
background 1polarities
unclear 1representative citing papers
Shesha quantifies directional coherence of single-cell CRISPR responses, correlates strongly with effect magnitude, distinguishes pleiotropic from lineage-specific regulators, and predicts chaperone activation after magnitude correction.
Discrete tokenization in scientific foundation models imposes a geometric alignment tax that distorts continuous manifolds, with continuous heads reducing distortion by up to 8.5x and exposing three failure regimes in 14 biological models.
Geometric stability, defined as the directional coherence of cellular responses to perturbation, provides a framework for assessing whether resulting cellular states are stable beyond conventional metrics of intervention success.
citing papers explorer
-
The Geometric Canary: Predicting Steerability and Detecting Drift via Representational Stability
Task-aligned supervised geometric stability predicts linear steerability with high accuracy while unsupervised stability detects representational drift earlier and with lower false alarms than CKA or Procrustes.
-
Geometric coherence of single-cell CRISPR perturbations reveals regulatory architecture and predicts cellular stress
Shesha quantifies directional coherence of single-cell CRISPR responses, correlates strongly with effect magnitude, distinguishes pleiotropic from lineage-specific regulators, and predicts chaperone activation after magnitude correction.
-
The Geometric Alignment Tax: Tokenization vs. Continuous Geometry in Scientific Foundation Models
Discrete tokenization in scientific foundation models imposes a geometric alignment tax that distorts continuous manifolds, with continuous heads reducing distortion by up to 8.5x and exposing three failure regimes in 14 biological models.
-
From Syntax to Semantics: Geometric Stability as the Missing Axis of Perturbation Biology
Geometric stability, defined as the directional coherence of cellular responses to perturbation, provides a framework for assessing whether resulting cellular states are stable beyond conventional metrics of intervention success.