Tootfinder

Red Lines and Grey Zones in the Fog of War: Benchmarking Legal Risk, Moral Harm, and Regional Bias in Large Language Model Military Decision-Making
Toby Drinkall
https://arxiv.org/abs/2510.03514

Red Lines and Grey Zones in the Fog of War: Benchmarking Legal Risk, Moral Harm, and Regional Bias in Large Language Model Military Decision-Making
As military organisations consider integrating large language models (LLMs) into command and control (C2) systems for planning and decision support, understanding their behavioural tendencies is critical. This study develops a benchmarking framework for evaluating aspects of legal and moral risk in targeting behaviour by comparing LLMs acting as agents in multi-turn simulated conflict. We introduce four metrics grounded in International Humanitarian Law (IHL) and military doctrine: Civilian Tar…

Model-Based Control for Power-to-X Platforms: Knowledge Integration for Digital Twins
Daniel Dittler, Peter Frank, Gary Hildebrandt, Luisa Peterson, Nasser Jazdi, Michael Weyrich
https://arxiv.org/abs/2507.03553

Model-Based Control for Power-to-X Platforms: Knowledge Integration for Digital Twins
Offshore Power-to-X platforms enable flexible conversion of renewable energy, but place high demands on adaptive process control due to volatile operating conditions. To face this challenge, using Digital Twins in Power-to-X platforms is a promising approach. Comprehensive knowledge integration in Digital Twins requires the combination of heterogeneous models and a structured representation of model information. The proposed approach uses a standardized description of behavior models, semantic …

Day 9: Eniko Fox
Edit: added a store link for Kitsune Tails.
We're back to videogames, and with another author who's on the fediverse: @…
Fox has developed a few games, but the one that I've played and love is Kitsune Tails. It's a sapphic romance take on Super Mario Bros. 3, and (critically for a platformer) it's got very crisp controls and runs smoothly. I think one thing a lot of indie platforms devs struggle with is getting those fundamentals right, because on the technical side they require very challenging things like optimization of your code and extremely careful input handling that go beyond the basic skills necessary to put together a game. From following her on Twitter and now the Fediverse, it's clear that Fox is a deeply competent programmer, and her games reflect that. Beyond the fundamentals, Kitsune Tails has a very sweet plot with a very cool twist in the middle, and without spoilers, that twist made both the levels and gameplay very difficult to design, but Fox rose to that challenge and put together a wonderful game. Particularly past the plot twist (but in subtle ways before it) Fox is able to build beyond SMB3 mechanics in ways that gracefully complement the original, and the movement in the game ends up being difficult but extremely satisfying, with an excellent skill/speed response allowing for both slower, easier approaches that work for a range of players and high-skill extremely-fast options for those who want to push themselves.
There have been plenty of people I follow with indie game projects that are kinda meh in the end, and I'll still boost them without much comment if they're decent. Fox' work is actually amazing, which is why if you've followed me for a while you'll know I tend to mention it periodically, and which is why she makes this list of authors I respect.
You can buy Kitsune Tails here: #20AuthorsNoMen

Leadership Detection via Time-Lagged Correlation-Based Network Inference
Thayanne Fran\c{c}a da Silva, Jos\'e Everardo Bessa Maia
https://arxiv.org/abs/2507.04917

Leadership Detection via Time-Lagged Correlation-Based Network Inference
Understanding leadership dynamics in collective behavior is a key challenge in animal ecology, swarm robotics, and intelligent transportation. Traditional information-theoretic approaches, including Transfer Entropy (TE) and Time-Lagged Mutual Information (TLMI), have been widely used to infer leader-follower relationships but face critical limitations in noisy or short-duration datasets due to their reliance on robust probability estimations. This study proposes a method based on dynamic netwo…

I don't often talk about albums before they come out, but my favorite metal band just announced their debut LP for next month, so fuck it, bonus #ThursDeath this week. Seattle's DEGRAVED will unleash 'Spectral Realm of Ruin' onto a mostly unprepared world November 14, and there's a good possibility this'll be my album of the year, or close to it. The preview track! FUCK! 🤯 🤘🏽

Multi-service messaging app Beeper relaunches, introducing premium offerings and the option to switch to an on-device model; Automattic acquired Beeper in 2024 (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/07/16/beep

Beeper's all-in-one messaging app relaunches with an on-device model and premium upgrades | TechCrunch
Multi-service messaging app Beeper, which allows people to connect to all their chat apps from one interface, is relaunching its app on Wednesday to offer a more secure version that no longer requires use of its own cloud services.

Efficient and Secure Sleepy Model for BFT Consensus
Pengkun Ren, Hai Dong, Zahir Tari, Pengcheng Zhang
https://arxiv.org/abs/2509.03145 https://arxiv.org/p…

Efficient and Secure Sleepy Model for BFT Consensus
Byzantine Fault Tolerant (BFT) consensus protocols for dynamically available systems face a critical challenge: balancing latency and security in fluctuating node participation. Existing solutions often require multiple rounds of voting per decision, leading to high latency or limited resilience to adversarial behavior. This paper presents a BFT protocol integrating a pre-commit mechanism with publicly verifiable secret sharing (PVSS) into message transmission. By binding users' identities to t…

Frequency Point Game Environment for UAVs via Expert Knowledge and Large Language Model
Jingpu Yang
https://arxiv.org/abs/2508.02757 https://arxiv.org/pdf/…

Frequency Point Game Environment for UAVs via Expert Knowledge and Large Language Model
Unmanned Aerial Vehicles (UAVs) have made significant advancements in communication stability and security through techniques such as frequency hopping, signal spreading, and adaptive interference suppression. However, challenges remain in modeling spectrum competition, integrating expert knowledge, and predicting opponent behavior. To address these issues, we propose UAV-FPG (Unmanned Aerial Vehicle - Frequency Point Game), a game-theoretic environment model that simulates the dynamic interact…

SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From
Yao Tong, Haonan Wang, Siquan Li, Kenji Kawaguchi, Tianyang Hu
https://arxiv.org/abs/2509.26404

SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From
Fingerprinting Large Language Models (LLMs) is essential for provenance verification and model attribution. Existing methods typically extract post-hoc signatures based on training dynamics, data exposure, or hyperparameters -- properties that only emerge after training begins. In contrast, we propose a stronger and more intrinsic notion of LLM fingerprinting: SeedPrints, a method that leverages random initialization biases as persistent, seed-dependent identifiers present even before training.…

Yo, kid, I heard you like 90s death metal demos. I gots another one for you with this week's #ThursDeath. BOTULISM was from Marlborough, Massachusetts and they only released one demo in 1997, 'Feasts of Lunacy', before disbanding in 1998. It was re-released last year. It's weird, it's riffy, it has some rattly snare, it's cool as fuck.