How Open Must Language Models be to Enable Reliable Scientific Inference?

Inside the stealthy startup that pitched brainless human clones

After operating in secrecy for years, a startup company called R3 Bio, in Richmond, California, suddenly shared details about its work last week—saying it had

R-PGA: Robust Physical Adversarial Camouflage Generation via Relightable 3D Gaussian Splatting

arXiv:2603.26067v1 Announce Type: cross Abstract: Physical adversarial camouflage poses a severe security threat to autonomous driving systems by mapping adversarial textures onto 3D objects. Nevertheless,

Neuro-Symbolic Process Anomaly Detection

arXiv:2603.26461v1 Announce Type: cross Abstract: Process anomaly detection is an important application of process mining for identifying deviations from the normal behavior of a process.

Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process

arXiv:2603.26245v1 Announce Type: cross Abstract: In a previous work (Elaarabi et al., 2025b), the Sequence Encoder for online dynamical system identification (Elaarabi et al., 2025a)

PhysVid: Physics Aware Local Conditioning for Generative Video Models

arXiv:2603.26285v1 Announce Type: cross Abstract: Generative video models achieve high visual fidelity but often violate basic physical principles, limiting reliability in real-world settings. Prior attempts