Natural State-Prediction Accuracy can Hide Weak Controlled Responsiveness in VLA Readouts
cs.RO, cs.CV, cs.LG
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- Decoding Task Progress from VLA Representations
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- Observing and Controlling Features in Vision-Language-Action Models
- Not All Features Are Created Equal: A Mechanistic Study of Vision-Language-Action Models
- OpenVLA: An Open-Source Vision-Language-Action Model
- Probing a Vision-Language-Action Model for Symbolic States and Integration into a Cognitive Architecture
- Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
- Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations
- Emergent World Representations in OpenVLA
- VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior Tracing
- SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
- DINOv3
- Sparse Autoencoders Reveal Interpretable and Steerable Features in VLA Models
- SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
- ProbeAct: Probe-Guided Training-Free Failure Recovery in Vision-Language-Action Models
- Embodied Interpretability: Linking Causal Understanding to Generalization in Vision-Language-Action Models
- What Frozen VLAs Already Know About Success: A Probing Study of Value-Like Structure in Foundation Robot Policies
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