Tootfinder

Various news about a possible future collider,
all pointing to the CERN FCC-ee as the leading proposal.
The Chinese CEPC plan is now on hold, as a decision was reached to not include it in China’s plans for the next five years (2026-30).

As part of the European Strategy for Particle Physics update process, recommendations drafted earlier this month have now been released
As expected, the main recommendation is to pursue the FCC-ee project, which will cost an esti…

Future Collider Update
Various news about a possible future collider, all pointing to the CERN FCC-ee as the leading proposal. For up to date background technical information on proposed colliders, including cost estimat…

How a trio of power brokers turned Putin’s US strategy into a quiet turf war: https://benborges.xyz/2025/11/15/how-a-trio-of-power.html

The superconducting grid-states qubit
Long B. Nguyen, Hyunseong Kim, Dat T. Le, Thomas Ersevim, Sai P. Chitta, Trevor Chistolini, Christian J\"unger, W. Clarke Smith, T. M. Stace, Jens Koch, David I. Santiago, Irfan Siddiqi
https://arxiv.org/abs/2509.14656

The superconducting grid-states qubit
Decoherence errors arising from noisy environments remain a central obstacle to progress in quantum computation and information processing. Quantum error correction (QEC) based on the Gottesman-Kitaev-Preskill (GKP) protocol offers a powerful strategy to overcome this challenge, with successful demonstrations in trapped ions, superconducting circuits, and photonics. Beyond active QEC, a compelling alternative is to engineer Hamiltonians that intrinsically enforce stabilizers, offering passive p…

Nonlinear Cooperative Salvo Guidance with Seeker-Limited Interceptors
Lohitvel Gopikannan, Shashi Ranjan Kumar, Abhinav Sinha
https://arxiv.org/abs/2509.15136 https://

Nonlinear Cooperative Salvo Guidance with Seeker-Limited Interceptors
This paper presents a cooperative guidance strategy for the simultaneous interception of a constant-velocity, non-maneuvering target, addressing the realistic scenario where only a subset of interceptors are equipped with onboard seekers. To overcome the resulting heterogeneity in target observability, a fixed-time distributed observer is employed, enabling seeker-less interceptors to estimate the target state using information from seeker-equipped agents and local neighbors over a directed com…

Strategy Logic, Imperfect Information, and Hyperproperties
Raven Beutner, Bernd Finkbeiner
https://arxiv.org/abs/2510.03952 https://arxiv.org/pdf/2510.0395…

Strategy Logic, Imperfect Information, and Hyperproperties
Strategy logic (SL) is a powerful temporal logic that enables first-class reasoning over strategic behavior in multi-agent systems (MAS). In many MASs, the agents (and their strategies) cannot observe the global state of the system, leading to many extensions of SL centered around imperfect information, such as strategy logic with imperfect information (SL$_\mathit{ii}$). Along orthogonal lines, researchers have studied the combination of strategic behavior and hyperproperties. Hyperproperties …

Today, I'm at Bundesarchiv in Koblenz for the Strategy & Planning meeting of our project "Wiedergutmachung". Our task in this project is to develop efficient information extraction from historical case files of the German Postwar recompensation process of nationalsocialist injustice.
@… @…

Diffusion Transformers with Representation Autoencoders
Boyang Zheng, Nanye Ma, Shengbang Tong, Saining Xie
https://arxiv.org/abs/2510.11690 https://arxiv.…

Diffusion Transformers with Representation Autoencoders
Latent generative modeling, where a pretrained autoencoder maps pixels into a latent space for the diffusion process, has become the standard strategy for Diffusion Transformers (DiT); however, the autoencoder component has barely evolved. Most DiTs continue to rely on the original VAE encoder, which introduces several limitations: outdated backbones that compromise architectural simplicity, low-dimensional latent spaces that restrict information capacity, and weak representations that result f…

Russia's failed strategy: Drone perations against EU and failures on the front line: https://benborges.xyz/2025/10/06/russias-failed-strategy-drone-perations.html

Leading the Follower: Learning Persuasive Agents in Social Deduction Games
Zhang Zheng, Deheng Ye, Peilin Zhao, Hao Wang
https://arxiv.org/abs/2510.09087 https://

Leading the Follower: Learning Persuasive Agents in Social Deduction Games
Large language model (LLM) agents have shown remarkable progress in social deduction games (SDGs). However, existing approaches primarily focus on information processing and strategy selection, overlooking the significance of persuasive communication in influencing other players' beliefs and responses. In SDGs, success depends not only on making correct deductions but on convincing others to response in alignment with one's intent. To address this limitation, we formalize turn-based dialogue in…

from my link log —
Bluffing in Scrabble.
https://arxiv.org/abs/2509.10471
saved 2025-09-18 https://dotat.at/:/WNJZZ.html…

Bluffing in Scrabble
It is well known that in games with imperfect information, such as poker, bluffing with some probability can be a component of the optimal strategy. However, as far as we know, nobody has ever exhibited a Scrabble position in which the optimal strategy involves bluffing, or even a Scrabble position in which the optimal strategy is a mixed (i.e., randomized) strategy. We present a carefully constructed Scrabble position, that could actually arise in a tournament game with no invalid words played…

Trump's strategy for diminished America: https://benborges.xyz/2025/12/07/trumps-strategy-for-diminished-america.html

Integrating Structure-Aware Attention and Knowledge Graphs in Explainable Recommendation Systems
Shuangquan Lyu, Ming Wang, Huajun Zhang, Jiasen Zheng, Junjiang Lin, Xiaoxuan Sun
https://arxiv.org/abs/2510.10109

Integrating Structure-Aware Attention and Knowledge Graphs in Explainable Recommendation Systems
This paper designs and implements an explainable recommendation model that integrates knowledge graphs with structure-aware attention mechanisms. The model is built on graph neural networks and incorporates a multi-hop neighbor aggregation strategy. By integrating the structural information of knowledge graphs and dynamically assigning importance to different neighbors through an attention mechanism, the model enhances its ability to capture implicit preference relationships. In the proposed me…

Scalable Multi-Agent Path Finding using Collision-Aware Dynamic Alert Mask and a Hybrid Execution Strategy
Bharath Muppasani, Ritirupa Dey, Biplav Srivastava, Vignesh Narayanan
https://arxiv.org/abs/2510.09469

Scalable Multi-Agent Path Finding using Collision-Aware Dynamic Alert Mask and a Hybrid Execution Strategy
Multi-agent pathfinding (MAPF) remains a critical problem in robotics and autonomous systems, where agents must navigate shared spaces efficiently while avoiding conflicts. Traditional centralized algorithms that have global information, such as Conflict-Based Search (CBS), provide high-quality solutions but become computationally expensive in large-scale scenarios due to the combinatorial explosion of conflicts that need resolution. Conversely, distributed approaches that have local informatio…

Soft Guessing Under Logarithmic Loss Allowing Errors and Variable-Length Source Coding
Shota Saito, Hamdi Joudeh
https://arxiv.org/abs/2510.09015 https://a…

Soft Guessing Under Logarithmic Loss Allowing Errors and Variable-Length Source Coding
This paper considers the problem of soft guessing under a logarithmic loss distortion measure while allowing errors. We find an optimal guessing strategy, and derive single-shot upper and lower bounds for the minimal guessing moments as well as an asymptotic expansion for i.i.d. sources. These results are extended to the case where side information is available to the guesser. Furthermore, a connection between soft guessing allowing errors and variable-length lossy source coding under logarithm…

D\'er\'everb\'eration non-supervis\'ee de la parole par mod\`ele hybride
Louis Bahrman (IDS, S2A), Mathieu Fontaine (IDS, S2A), Ga\"el Richard (IDS, S2A)
https://arxiv.org/abs/2510.09025

Déréverbération non-supervisée de la parole par modèle hybride
This paper introduces a new training strategy to improve speech dereverberation systems in an unsupervised manner using only reverberant speech. Most existing algorithms rely on paired dry/reverberant data, which is difficult to obtain. Our approach uses limited acoustic information, like the reverberation time (RT60), to train a dereverberation system. Experimental results demonstrate that our method achieves more consistent performance across various objective metrics than the state-of-the-ar…

A State-Update Prompting Strategy for Efficient and Robust Multi-turn Dialogue
Ziyi Liu
https://arxiv.org/abs/2509.17766 https://arxiv.org/pdf/2509.17766…

A State-Update Prompting Strategy for Efficient and Robust Multi-turn Dialogue
Large Language Models (LLMs) struggle with information forgetting and inefficiency in long-horizon, multi-turn dialogues. To address this, we propose a training-free prompt engineering method, the State-Update Multi-turn Dialogue Strategy. It utilizes "State Reconstruction" and "History Remind" mechanisms to effectively manage dialogue history. Our strategy shows strong performance across multiple multi-hop QA datasets. For instance, on the HotpotQA dataset, it improves the core information fil…

Syrskyi visits front near Pokrovsk, details Ukraine’s active defense strategy: https://benborges.xyz/2025/12/13/syrskyi-visits-front-near-pokrovsk.html

Constructing a Nanopipette-based DNA Electro-Mechanical Device
Cengiz J. Khan, Oliver J. Irving, Rand A. Al-Waqfi, Giorgio Ferrari, Tim Albrecht
https://arxiv.org/abs/2510.10515

Constructing a Nanopipette-based DNA Electro-Mechanical Device
Solid-state nanopore and nanopipette sensors are powerful devices for the detection, quantification and structural analysis of biopolymers such as DNA and proteins, especially in carrier-enhanced resistive-pulse sensing. However, hundreds of different molecules typically need to be sampled from solution and analysed to obtain statistically robust information. This limits the applicability of such sensors and complicates associated workflows. Here, we present a new strategy to trap DNA structure…

Tuning Layer Orbital Hall Effect via Spin Rotation in Ferromagnetic Transition Metal Dichalcogenides
Shilei Ji, Jianping Yang, Li Gao, Xing'ao Li
https://arxiv.org/abs/2510.11180

Tuning Layer Orbital Hall Effect via Spin Rotation in Ferromagnetic Transition Metal Dichalcogenides
Orbitronics, which leverages the angular momentum of atomic orbitals for information transmission, provides a novel strategy to overcome the limitations of electronic devices. Unlike electron spin, orbital angular momentum (OAM) is strongly influenced by crystal field effects and band topology, making its orientation difficult to manipulate with external fields. In this work, by using first principle calculations, we investigate quantum anomalous Hall insulators (QAHIs) as a model system to stu…

Multicollinearity-Aware Parameter-Free Strategy for Hyperspectral Band Selection: A Dependence Measures-Based Approach
Dibyabha Deb, Ujjwal Verma
https://arxiv.org/abs/2509.21973

Multicollinearity-Aware Parameter-Free Strategy for Hyperspectral Band Selection: A Dependence Measures-Based Approach
Hyperspectral bands offer rich spectral and spatial information; however, their high dimensionality poses challenges for efficient processing. Band selection (BS) methods aim to extract a smaller subset of bands to reduce spectral redundancy. Existing approaches, such as ranking-based, clustering-based, and iterative methods, often suffer from issues like sensitivity to initialization, parameter tuning, and high computational cost. This work introduces a BS strategy integrating three dependence…

New US strategy document takes hard line on Europe's 'trajectory,' NATO expansion: https://benborges.xyz/2025/12/05/new-us-strategy-document-takes.html

The Kottke.org "rollodex" is a good idea that is well executed, imo.
https://kottke.org/25/07/the-kottkeorg-rolodex
"The Rolodex is part of this 'strategy' of relationship-building and strengthening of trusted sources of information. You readers are cur…

The Kottke.org Rolodex
Over the weekend, I added a new feature to the site that, for now, is only accessible from the front page of the site, right after

A Novel Framework for Honey-X Deception in Zero-Sum Games
Brendan Gould, Kyriakos Vamvoudakis
https://arxiv.org/abs/2509.20329 https://arxiv.org/pdf/2509.2…

A Novel Framework for Honey-X Deception in Zero-Sum Games
In this paper, we present a novel, game-theoretic model of deception in two-player, zero-sum games. Our framework leverages an information asymmetry: one player (the deceiver) has access to accurate payoff information, while the other (the victim) observes a modified version of these payoffs due to the deception strategy employed. The deceiver's objective is to choose a deception-action pair that optimally exploits the victim's best response to the altered payoffs, subject to a constraint on th…

Is the US preparing Europe to split? Important details of the new strategy #shorts: https://benborges.xyz/2025/12/10/is-the-us-preparing-europe.html

Replaced article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
[1/1]:
- Robust Set Partitioning Strategy for Malicious Information Detection in Large-Scale Internet of T...
Yuhan Suo, Runqi Chai, Kaiyuan Chen, Senchun Chai, Wannian Liang, Yuanqing Xia

HiPerformer: A High-Performance Global-Local Segmentation Model with Modular Hierarchical Fusion Strategy
Dayu Tan, Zhenpeng Xu, Yansen Su, Xin Peng, Chunhou Zheng, Weimin Zhong
https://arxiv.org/abs/2509.20280

HiPerformer: A High-Performance Global-Local Segmentation Model with Modular Hierarchical Fusion Strategy
Both local details and global context are crucial in medical image segmentation, and effectively integrating them is essential for achieving high accuracy. However, existing mainstream methods based on CNN-Transformer hybrid architectures typically employ simple feature fusion techniques such as serial stacking, endpoint concatenation, or pointwise addition, which struggle to address the inconsistencies between features and are prone to information conflict and loss. To address the aforemention…

Design and Development of an Intelligent LLM-based LDAP Honeypot
Javier Jim\'enez-Rom\'an, Florina Almenares-Mendoza, Alfonso S\'anchez-Maci\'an
https://arxiv.org/abs/2509.16682

Design and Development of an Intelligent LLM-based LDAP Honeypot
Cybersecurity threats continue to increase, with a growing number of previously unknown attacks each year targeting both large corporations and smaller entities. This scenario demands the implementation of advanced security measures, not only to mitigate damage but also to anticipate emerging attack trends. In this context, deception tools have become a key strategy, enabling the detection, deterrence, and deception of potential attackers while facilitating the collection of information about t…

Node Classification via Simplicial Interaction with Augmented Maximal Clique Selection
Eunho Koo, Tongseok Lim
https://arxiv.org/abs/2509.23568 https://arx…

Node Classification via Simplicial Interaction with Augmented Maximal Clique Selection
Considering higher-order interactions allows for a more comprehensive understanding of network structures beyond simple pairwise connections. While leveraging all cliques in a network to handle higher-order interactions is intuitive, it often leads to computational inefficiencies due to overlapping information between higher-order and lower-order cliques. To address this issue, we propose an augmented maximal clique strategy. Although using only maximal cliques can reduce unnecessary overlap an…

A Spatio-Temporal Feature Fusion EEG Virtual Channel Signal Generation Network and Its Application in Anxiety Assessment
Shangqing Yuan, Wenshuang Zhai, Shengwen Guo
https://arxiv.org/abs/2509.19334

A Spatio-Temporal Feature Fusion EEG Virtual Channel Signal Generation Network and Its Application in Anxiety Assessment
To address the issue of limited channels and insufficient information collection in portable EEG devices, this study explores an EEG virtual channel signal generation network using a novel spatio-temporal feature fusion strategy. Based on the EEG signals from four frontal lobe channels, the network aims to generate virtual channel EEG signals for other 13 important brain regions. The architecture of the network is a two-dimensional convolutional neural network and it includes a parallel module …

On-device Internet of Sounds Sonification with Wavetable Synthesis Techniques for Soil Moisture Monitoring in Water Scarcity Contexts
Stephen Roddy
https://arxiv.org/abs/2509.19097

Near-Optimal Simultaneous Estimation of Quantum State Moments
Xiao Shi, Jiyu Jiang, Xian Wu, Jingu Xie, Hongshun Yao, Xin Wang
https://arxiv.org/abs/2509.24842 https://

Near-Optimal Simultaneous Estimation of Quantum State Moments
Estimating nonlinear properties such as Rényi entropies and observable-weighted moments serves as a central strategy for spectrum spectroscopy, which is fundamental to property prediction and analysis in quantum information science, statistical mechanics, and many-body physics. However, existing approaches are susceptible to noise and require significant resources, making them challenging for near-term quantum hardware. In this work, we introduce a framework for resource-efficient simultaneous…

An early termination strategy for the distributed biased min-consensus protocol under disturbances
Zicheng Huang, Wangzhi Zhou, Yuanqiu Mo
https://arxiv.org/abs/2509.19832 https…

An early termination strategy for the distributed biased min-consensus protocol under disturbances
The distributed biased min-consensus (DBMC) protocol is an iterative scheme that solves the shortest path problem asymptotically, requiring only local information exchange between neighboring nodes. By appropriately designing the gain function, prior work [1] proposed a DBMC-based system that ensures convergence within a pre-specified time interval. However, this guarantee assumes the absence of disturbances. In this paper, we study the DBMC-based system under disturbances affecting the edge we…

Jake Broe: How UKRAINE`S "land-for-time" strategy is EXHAUSTING Russia: https://benborges.xyz/2025/11/01/jake-broe-how-ukraines-ampquotlandfortimeampquot.html

DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis
J\'er\'emie Stym-Popper, Nathan Painchaud, Cl\'ement Rambour, Pierre-Yves Courand, Nicolas Thome, Olivier Bernard
https://arxiv.org/abs/2509.15990

DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis
Multimodal data fusion is a key approach for enhancing diagnosis in medical applications. We propose an asymmetric fusion strategy starting from a primary modality and integrating secondary modalities by disentangling shared and modality-specific information. Validated on a dataset of 239 patients with echocardiographic time series and tabular records, our model outperforms existing methods, achieving an AUC over 90%. This improvement marks a crucial benchmark for clinical use.

Here is CUPW's fact sheet on Postal Banking “A Bank for Everyone”
Fun fact!
"our post office used to have a national savings bank – up until 1969 – and there is no reason we shouldn't have one today”
Some other reasons:
"Banks are failing to meet the needs of a growing number of Canadians. Thousands of towns and villages across our country do not have a bank. But many of them have a post office that could provide access to financial and banking services.”
"Postal banking is lucrative!
New Zealand: Kiwibank generated 81% of New Zealand Post's after tax profits.”
"France: Banque Postale has an obligation to provide products and services to as many people as possible. It provides a Livret A or passbook savings account, at no charge, to anyone who requests it. It also provides banking services to the financially vulnerable and financing for social housing, voluntary organizations and microentrepreneurs lacking bank credit.”
"Canada Post's secret postal banking study
Canada Post conducted a secret four-year study on postal banking that indicates that adding this service "would be a win-win strategy" for the corporation. This study was obtained though an Access to Information (ATI) request. Unfortunately, 701 of the study's 811 pages were redacted. CUPW has asked Canada Post's President to release the full report, but he has refused.”
#CanadaPost #UPW #Strike #Union #Solidarity
https://www.cupw.ca/en/campaign/resources/postal-banking-–-bank-everyone-fact-sheet