# On the Identifiability of User Adaptation in Co-Adaptive Neural Interfaces

arXiv: https://arxiv.org/abs/2606.20569 · HTML: https://mlsanity.com/paper/2606.20569/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 2 references that are in the map.
- First posted on arXiv 24 Apr 2026.

## Abstract (arXiv)

We analyze identifiability in co-adaptive human-machine systems. We show that closed-loop encoder estimates do not uniquely identify user adaptation, but instead reflect properties of the joint system. We discuss implications for interpreting behavioral adaptation and propose conditions for identification.