Tootfinder

this was a plot point in vernor vinge's "rainbow's end" (2006), retroactively part of the expanded "torment nexus" universe apparently. https://code4lib.social/@dltj/114774949197817082

This https://arxiv.org/abs/2504.18410 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Can Code Outlove Blood? An LLM-based VR Experience to Prompt Reflection on Parental Verbal Abuse
Parental verbal abuse leaves lasting emotional impacts, yet current therapeutic approaches often lack immersive self-reflection opportunities. To address this, we developed a VR experience powered by LLMs to foster reflection on parental verbal abuse. Participants with relevant experiences engage in a dual-phase VR experience: first assuming the role of a verbally abusive parent, interacting with an LLM portraying a child, then observing the LLM reframing abusive dialogue into warm, supportive …

Slate Auto confirms where it’ll build its $20,000 EV Truck
TLDR = Indiana
https://www.theverge.com/news/658223/slate-factory-electric-truck-location-indiana

My summer camp for rising 4th and 5th graders this week, “Coding in Minecraft - Mars Outpost Mission” is going great!
https://www.astrokidsclub.org/
More info about my middle school unit “Coding Mars” is on:

AstroKids Summer Camp by Dr. Fryer
In this exciting camp, students will build and code their own Mars Outpost inside Minecraft Education! With the help of their robot agent and step-by-step tutorials, campers will learn beginner coding, explore real-world space science, and work together as young engineers and inventors. No

Efficient Interleaved Speech Modeling through Knowledge Distillation
Mohammadmahdi Nouriborji, Morteza Rohanian
https://arxiv.org/abs/2506.23670 https://…

Efficient Interleaved Speech Modeling through Knowledge Distillation
Current speech language models exceed the size and latency constraints of many deployment environments. We build compact, expressive speech generation models through layer-aligned distillation, matching hidden states, attention maps, and softened logits to compress large multimodal transformers by 3x with minimal loss in performance. We introduce TinyWave, a family of 2B-parameter models for speech-to-speech and interleaved speech-text generation, trained on 50,000 hours of public audio. TinyWa…

Confidence sequences with informative, bounded-influence priors
Stefano Cortinovis, Valentin Kilian, Fran\c{c}ois Caron
https://arxiv.org/abs/2506.22925 ht…

Confidence sequences with informative, bounded-influence priors
Confidence sequences are collections of confidence regions that simultaneously cover the true parameter for every sample size at a prescribed confidence level. Tightening these sequences is of practical interest and can be achieved by incorporating prior information through the method of mixture martingales. However, confidence sequences built from informative priors are vulnerable to misspecification and may become vacuous when the prior is poorly chosen. We study this trade-off for Gaussian o…

Fourier modal method and coordinate transformation method under nonclassical electromagnetic boundary condition for the electromagnetism of mesoscale metallic nanostructures
Haitao Liu
https://arxiv.org/abs/2506.22838

Fourier modal method and coordinate transformation method under nonclassical electromagnetic boundary condition for the electromagnetism of mesoscale metallic nanostructures
The optical response of mesoscale metallic nanostructures (MMNSs) with feature sizes down to extreme nanometer scales is largely affected by the nonclassical quantum effects, which can be comprehensively described by the nonclassical electromagnetic boundary condition (NEBC) incorporating surface-response Feibelman d-parameters. Here we report the Fourier modal method (FMM) and the coordinate transformation method (C method) under the NEBC, which are built up by incorporating the NEBC into a re…

This https://arxiv.org/abs/2504.18665 has been replaced.
initial toot: https://mastoxiv.page/@a…

Classifying destructive quantum interference in molecular junctions: Towards molecular quantum rulers
Destructive quantum interference in molecular junctions might be used to build molecular quantum rulers, allowing to quantify changes in external control parameters electrically. For this reason, it is important to understand which patterns of destructive quantum interference can occur inside the electronic excitation gap of a molecule, coupled to conducting electrodes. By considering a four-level model, we show that much more complex destructive quantum interference behavior can arise than exp…

The plastic insert in my NanoVNA H4 box went missing, so I guess I need to bite the bullet and print a rugged box and insert for it. This looks fairly good; any suggestions for alternatives to consider?
https://www.printables.com/model/991671-nanovna-h4-rugged-box/files…

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks
Yannick Werner, Akash Malemath, Mengxi Liu, Vitor Fortes Rey, Nikolaos Palaiodimopoulos, Paul Lukowicz, Maximilian Kiefer-Emmanouilidis
https://arxiv.org/abs/2506.22340

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks
Kolmogorov Arnold Networks (KANs), built upon the Kolmogorov Arnold representation theorem (KAR), have demonstrated promising capabilities in expressing complex functions with fewer neurons. This is achieved by implementing learnable parameters on the edges instead of on the nodes, unlike traditional networks such as Multi-Layer Perceptrons (MLPs). However, KANs potential in quantum machine learning has not yet been well explored. In this work, we present an implementation of these KAN architec…