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Precision measurement under impact—when the balance itself becomes the object of measurement
How do you take measurements using one of the most sensitive scales in the world? Researchers at TU Wien have demonstrated how the measurement process affects not only the object being measured but also the scale itself, and where the absolute limits of precision lie.
A Measure-Consistent Operator Learning Method for Infinite-Dimensional Master Equations
Announce Type: new Abstract: Master equations in mean field game theory characterize feedback value functions that depend on time, state (space), and the population distribution. Their numerical approximation is challenging because the unknown is defined on a space of probability measures and the equation involves intrinsic measure derivatives and nonlocal population terms. This paper proposes a measure-consistent operator learning method (MCOL) for infinite-dimensional master equations.
Assessing and Mitigating Miscalibration in LLM-Based Social Science Measurement
arXiv:2605.11954v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used in social science as scalable measurement tools for converting unstructured text into variables that can enter standard empirical designs. Measurement validity demands more than high average accuracy, which requires well calibrated confidence that faithfully reflects the empirical probability of each measurement being correct. This paper studies the model miscalibration in LLM-based social...
Democrat fails to block US measure to deepen Israel military cooperation
Democrat fails to block US measure to deepen Israel military cooperation Congressman Ro Khanna says integration push only boosts Israeli Prime Minister Netanyahu, but his push to revoke the measure fell short. A congressional panel in the United States has rejected an effort to revoke a provision from the defence budget that would further integrate the US and Israeli militaries. An amendment to sink the pro-Israel measure, introduced by Democratic Congressman Ro Khanna, failed in a voice...
Generating Rectifiable Measures through Neural Networks
Announce Type: replace Abstract: We derive universal approximation results for the class of (countably) $m$-rectifiable measures. Specifically, we prove that $m$-rectifiable measures can be approximated as push-forwards of the one-dimensional Lebesgue measure on $[0,1]$ using ReLU neural networks with arbitrarily small approximation error in terms of Wasserstein distance. What is more, the weights in the networks under consideration are quantized and bounded and the number of ReLU neural...
Not All Roads Lead to Rome: How VPN Selection Alters What We Measure and Infer about Web Infrastructure
arXiv:2605.30692v1 Announce Type: new Abstract: Web-measurement studies treat commercial VPNs as interchangeable vantage points within a country, assuming that any VPN in a particular country is as good as any other. We show that this assumption does not hold: the same country measured through different VPN providers yields materially different conclusions about where endpoints sit, who hosts them, and which physical replicas serve them. Using large-scale browser-based measurements across...
Measuring civil legal aid demand
Measuring civil legal aid demand Ipsos report looking at approaches to measuring demand for civil legal aid in England and Wales. Applies to England and Wales Documents Details The report looks at approaches to measuring demand for civil legal aid in England and Wales.
Health-related ballot measures more likely to pass
Health-related ballot measures more likely to pass Sadie Harley Scientific Editor Andrew Zinin Lead Editor As voters are increasingly asked to decide complex health policy questions at the ballot box, new research from the Brown School at Washington University in St. Louis finds that health care-related ballot measures draw more voters to the polls and are more likely to pass than other initiatives—but they're also especially sensitive to opposition spending by special-interest groups. The...
Launch HN: Transload (YC P26) – Measuring freight items with CCTV
Hi HN — we’re Julius, Jago, and Nils, and we’re building transload (transload.io).transload helps LTL trucking companies measure freight dimensions using the security cameras already installed in their terminals. Instead of sending shipments through a dedicated dimensioning station, we measure them automatically as they move through the normal dock workflow. We’ve put together a small HN-specific demo site here: https://hn.transload.io/In LTL trucking, dimensions matter because they affect...
Geometric Time-Domain Identification of Three-Phase Load Equivalents from Terminal Measurements
arXiv:2606.07048v1 Announce Type: cross Abstract: This paper presents a geometric time-domain method for identifying three-phase load equivalents from instantaneous voltage and current measurements at the point of common coupling. Measured waveforms are interpreted as trajectories in Euclidean signal spaces, and load-equivalent parameters are recovered from the geometry of those trajectories. The method extends a previously published single-phase geometric identification formulation to...