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Nathan Calvin, general counsel of AI safety nonprofit Encode, says OpenAI used intimidation tactics to undermine California's SB 53 while it was being debated (Sharon Goldman/Fortune)
https://fortune.com/2025/10/1…

A 3-person policy nonprofit that worked on California’s AI safety law is publicly accusing OpenAI of intimidation tactics
In a widely read post on social media, the general counsel of Encode said OpenAI used subpoenas and political muscle to intimidate the firm and to undermine California’s new AI safety bill, all while falsely claiming the firm was funded by Elon Musk.

MolGA: Molecular Graph Adaptation with Pre-trained 2D Graph Encoder
Xingtong Yu, Chang Zhou, Xinming Zhang, Yuan Fang
https://arxiv.org/abs/2510.07289 https://

MolGA: Molecular Graph Adaptation with Pre-trained 2D Graph Encoder
Molecular graph representation learning is widely used in chemical and biomedical research. While pre-trained 2D graph encoders have demonstrated strong performance, they overlook the rich molecular domain knowledge associated with submolecular instances (atoms and bonds). While molecular pre-training approaches incorporate such knowledge into their pre-training objectives, they typically employ designs tailored to a specific type of knowledge, lacking the flexibility to integrate diverse knowl…

Fiber-optic power limiter device based on carbon nanotubes
Ekaterina Borisova, Anastasiya Ponosova, Natalia Arutyunyan, Alexey Shilko, Elena Obraztsova, Boris Galagan, Vadim Makarov
https://arxiv.org/abs/2510.09301

Fiber-optic power limiter device based on carbon nanotubes
We experimentally demonstrate a power limiter based on single-walled carbon nanotubes dispersed in a polymer matrix. This simple fiber-optic device permanently increases its attenuation when subjected to 50-mW or higher cw illumination at 1550 nm and initiates a fiber-fuse effect at 1 to 5 W. It may be used for protecting quantum key distribution equipment from light-injection attacks. We demonstrate its compatibility with phase- and polarisation-encoding quantum key distribution systems.

Revised comment on the paper titled "The Origin of Quantum Mechanical Statistics: Insights from Research on Human Language
Miko{\l}aj Sienicki, Krzysztof Sienicki
https://arxiv.org/abs/2512.07881 https://arxiv.org/pdf/2512.07881 https://arxiv.org/html/2512.07881
arXiv:2512.07881v1 Announce Type: new
Abstract: This short note comments on \citet{Aerts2024Origin}, which proposes that ranked word frequencies in texts should be read through the lens of Bose--Einstein (BE) statistics and even used to illuminate the origin of quantum statistics in physics. The core message here is modest: the paper offers an interesting analogy and an eye-catching fit, but several key steps mix physical claims with definitions and curve-fitting choices. We highlight three such points: (i) a normalization issue that is presented as "bosonic enhancement", (ii) an identification of rank with energy that makes the BE fit only weakly diagnostic of an underlying mechanism, and (iii) a baseline comparison that is too weak to support an ontological conclusion. We also briefly flag a few additional concerns (interpretation drift, parameter semantics, and reproducibility).
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Einstein@Home Searches for Gamma-ray Pulsars in the Inner Galaxy
C. J. Clark, M. Di Mauro, J. Wu, B. Allen, O. Behnke, H. B. Eggenstein, B. Machenschalk, L. Nieder, P. M. Saz Parkinson, A. Ashok, P. Bruel, B. McGloughlin, M. A. Papa, F. Camilo, M. Kerr, P. Voraganti Padmanabh, S. M. Ransom
https://arxiv.org/abs/2509.21307

Einstein@Home Searches for Gamma-ray Pulsars in the Inner Galaxy
The Fermi Large Area Telescope (LAT) has revealed a mysterious extended excess of GeV gamma-ray emission around the Galactic Center, which can potentially be explained by unresolved emission from a population of pulsars, particularly millisecond pulsars (MSPs), in the Galactic bulge. We used the distributed volunteer computing system Einstein@Home to search the Fermi-LAT data for gamma-ray pulsations from sources in the inner Galaxy, to try to identify the brightest members of this putative pop…

Concentration structures on categories and horizontal categorification
Yangxiao Luo, Shunyu Wan
https://arxiv.org/abs/2510.07553 https://arxiv.org/pdf/2510…

Concentration structures on categories and horizontal categorification
We introduce a theory for encoding and manipulating algebraic data on categories via $\textit{concentration structures}$, which are equivalence relations on morphisms that satisfy certain axioms. For any category with a concentration structure we can functorially construct a $\textit{concentration monoid}$, which can be used to give a precise definition of horizontal categorification and decategorification. Moreover, by studying concentration structures on fundamental groupoids, we show that ev…

A Fast and Precise Method for Searching Rectangular Tumor Regions in Brain MR Images
Hidenori Takeshima, Shuki Maruyama
https://arxiv.org/abs/2510.00505 https://

A Fast and Precise Method for Searching Rectangular Tumor Regions in Brain MR Images
Purpose: To develop a fast and precise method for searching rectangular regions in brain tumor images. Methods: The authors propose a new method for searching rectangular tumor regions in brain MR images. The proposed method consisted of a segmentation network and a fast search method with a user-controllable search metric. As the segmentation network, the U-Net whose encoder was replaced by the EfficientNet was used. In the fast search method, summed-area tables were used for accelerating sums…

Multi-Robot Allocation for Information Gathering in Non-Uniform Spatiotemporal Environments
Kaleb Ben Naveed, Haejoon Lee, Dimitra Panagou
https://arxiv.org/abs/2509.22883 https…

Multi-Robot Allocation for Information Gathering in Non-Uniform Spatiotemporal Environments
Autonomous robots are increasingly deployed to estimate spatiotemporal fields (e.g., wind, temperature, gas concentration) that vary across space and time. We consider environments divided into non-overlapping regions with distinct spatial and temporal dynamics, termed non-uniform spatiotemporal environments. Gaussian Processes (GPs) can be used to estimate these fields. The GP model depends on a kernel that encodes how the field co-varies in space and time, with its spatial and temporal length…

Probeless vs Probe-Based Variable-Strength Eavesdropping in Quantum Key Distribution
Yuval Idan, Tal Gofman, Ziv Abelson, Isabelle Cestier, Elad Mentovich, Eliahu Cohen
https://arxiv.org/abs/2509.25890

Probeless vs Probe-Based Variable-Strength Eavesdropping in Quantum Key Distribution
Quantum key distribution (QKD) is a provably secure way of generating a secret key, which can later be used for encoding and decoding information. In this paper we analyze the effects of an eavesdropper's variable-strength measurements on QKD. Two types of measurements have been considered: (i) a probe-based model, commonly referred to as a "weak measurement", in which each qubit is weakly coupled to a continuous variable probe which is later projectively measured (ii) a probeless model, usuall…