A new arXiv paper investigates anchoring pathways in language models.
Anchoring is about how a model binds outputs to contextual references instead of drifting into unsupported or inconsistent text. Understanding where those pathways live can help explain failures in grounding and coherence.
The work is relevant for interpretability and reliability because many production errors come from models losing track of what their answers are supposed to be anchored to.