warp backend causes nans in simulation

I've been using mujoco-playground to train a C.elegans biomechanical model to do imitation learning using the mjx backend and it has worked fine. When I try switching to warp with identitical configurations otherwise, the physics becomes unstable and goes to nan. I'm not sure what could be causing this. These are the library versions I'm working with:
```
jax 0.7.2 pypi_0 pypi
jax-cuda12-pjrt 0.7.2 pypi_0 pypi
jax-cuda12-plugin 0.7.2 pypi_0 pypi
jaxlib 0.7.2 pypi_0 pypi
jaxopt 0.8.5 pypi_0 pypi
mujoco 3.4.0 pypi_0 pypi
mujoco-mjx 3.4.0 pypi_0 pypi
mujoco-warp 0.0.1 pypi_0 pypi
playground 0.0.5 pypi_0 pypi
warp-lang 1.10.0 pypi_0 pypi
```
I'm on ubuntu and using a 5090 gpu with `cuda 12.8`. I've attached a minimal example to reproduce the bug by just stepping through a basic environment:

[warp_debug.zip](https://github.com/user-attachments/files/24200971/warp_debug.zip)