Tootfinder

Knock-Knock: Black-Box, Platform-Agnostic DRAM Address-Mapping Reverse Engineering
Antoine Plin, Lorenzo Casalino, Thomas Rokicki, Ruben Salvador
https://arxiv.org/abs/2509.19568

Knock-Knock: Black-Box, Platform-Agnostic DRAM Address-Mapping Reverse Engineering
Modern Systems-on-Chip (SoCs) employ undocumented linear address-scrambling functions to obfuscate DRAM addressing, which complicates DRAM-aware performance optimizations and hinders proactive security analysis of DRAM-based attacks; most notably, Rowhammer. Although previous work tackled the issue of reversing physical-to-DRAM mapping, existing heuristic-based reverse-engineering approaches are partial, costly, and impractical for comprehensive recovery. This paper establishes a rigorous theor…

from my link log —
Mapping a universe of open source software: the Nixpkgs dependency graph.
https://www.tweag.io/blog/2019-02-06-mapping-open-source/
saved 2020-07-28

Mapping a Universe of Open Source Software
The repositories of distributions such as Debian and Nixpkgs are among the largest collections of open source (and some unfree) software. They are complex systems that connect and organize many interdependent packages. In this blog post I'll try to shed some light on them from the perspective of Nixpkgs, mostly with visualizations of its complete dependency graph.

🍆 A Hermetic, Transparent Soft Growing Vine Robot System for Pipe Inspection
#robots #machine

A Hermetic, Transparent Soft Growing Vine Robot System for Pipe Inspection
Rehabilitation of aging pipes requires accurate condition assessment and mapping far into the pipe interiors. Soft growing vine robot systems are particularly promising for navigating confined, sinuous paths such as in pipes, but are currently limited by complex subsystems and a lack of validation in real-world industrial settings. In this paper, we introduce the concept and implementation of a hermetic and transparent vine robot system for visual condition assessment and mapping within non-bra…

Evaluating Rapid Makespan Predictions for Heterogeneous Systems with Programmable Logic
Martin Wilhelm, Franz Freitag, Max Tzschoppe, Thilo Pionteck
https://arxiv.org/abs/2510.06998

Evaluating Rapid Makespan Predictions for Heterogeneous Systems with Programmable Logic
Heterogeneous computing systems, which combine general-purpose processors with specialized accelerators, are increasingly important for optimizing the performance of modern applications. A central challenge is to decide which parts of an application should be executed on which accelerator or, more generally, how to map the tasks of an application to available devices. Predicting the impact of a change in a task mapping on the overall makespan is non-trivial. While there are very capable simulat…

Directly Mapping Interacting Components to Complex Systems' Emergent Properties
Lina Yan, Jeffrey Huy Khong, Aleksandar Kostadinov, Wen-Jun Chen, Jerry Ying Hsi Fuh, Chih-Ming Ho
https://arxiv.org/abs/2510.10881

Directly Mapping Interacting Components to Complex Systems' Emergent Properties
Emergent behavior in complex systems arises from nonlinear interactions among components, yet the intricate nature of self-organization often obscures the underlying causal relationships, long regarded as the "holy grail" of complexity research. To address this challenge, we adopted an inductive, mechanism-agnostic approach to characterize how diseased biological systems respond to therapeutic interventions, leading to the discovery of the Complex System Response (CSR) equation, a deterministic…

Quantum approximate optimization of bosonic finite-state systems
Shakib Daryanoosh
https://arxiv.org/abs/2510.05576 https://arxiv.org/pdf/2510.05576…

Quantum approximate optimization of bosonic finite-state systems
There exist numerous problems in nature inherently described by finite $D$-dimensional states. Formulating these problems for execution on qubit-based quantum hardware requires mapping the qudit Hilbert space to that of multiqubit which may be exponentially larger. To exclude the infeasible subspace, one common approach relies on penalizing the objective function. However, this strategy can be inefficient as the size of the illegitimate subspace grows. Here we propose to employ the Hamiltonian-…

Mapping Socio-Economic Divides with Urban Mobility Data
Yingche Liu, Mengyang Li
https://arxiv.org/abs/2510.08598 https://arxiv.org/pdf/2510.08598

Mapping Socio-Economic Divides with Urban Mobility Data
The massive digital footprints generated by bike-sharing systems in megacities like Shanghai offer a novel perspective on the urban socio-economic fabric. This study investigates whether these daily mobility patterns can quantitatively map the city's underlying social stratification. To overcome the persistent challenge of acquiring fine-grained socio-economic data, we constructed a multi-layered analytical dataset. We annotated 2,000 raw bike trips with local economic attributes, derived from …

MolCluster: Integrating Graph Neural Network with Community Detection for Coarse-Grained Mapping
Zhixuan Zhong, Linbo Ma, Jian Jiang
https://arxiv.org/abs/2509.20893 https://

MolCluster: Integrating Graph Neural Network with Community Detection for Coarse-Grained Mapping
Coarse-grained (CG) modeling simplifies molecular systems by mapping groups of atoms into representative units. However, traditional CG approaches rely on fixed mapping rules, which limit their ability to handle diverse chemical systems and require extensive manual intervention. Thus, supervised learning-based CG methods have been proposed, enabling more automated and adaptable mapping. Nevertheless, these methods suffer from limited labeled datasets and the inability to control mapping resolut…

Polka-dotted Stars II: Starspots and obliquities of Kepler-17 and Kepler-63
Sabina Sagynbayeva, Will M. Farr
https://arxiv.org/abs/2510.07130 https://arxiv…

Polka-dotted Stars II: Starspots and obliquities of Kepler-17 and Kepler-63
Starspots trace stellar magnetic activity and influence both stellar evolution and exoplanet characterization. While occultation-based spot analyses have been applied to individual systems, comparative studies remain limited. We apply the StarryStarryProcess Bayesian surface-mapping framework to archival Kepler light curves of two planet hosts, Kepler-63 and Kepler-17, extending the validation established on TOI-3884 (Paper I). Across both systems, we infer characteristic spot radii smaller tha…

Real-Time Glass Detection and Reprojection using Sensor Fusion Onboard Aerial Robots
Malakhi Hopkins, Varun Murali, Vijay Kumar, Camillo J Taylor
https://arxiv.org/abs/2510.06518

Real-Time Glass Detection and Reprojection using Sensor Fusion Onboard Aerial Robots
Autonomous aerial robots are increasingly being deployed in real-world scenarios, where transparent obstacles present significant challenges to reliable navigation and mapping. These materials pose a unique problem for traditional perception systems because they lack discernible features and can cause conventional depth sensors to fail, leading to inaccurate maps and potential collisions. To ensure safe navigation, robots must be able to accurately detect and map these transparent obstacles. Ex…

Canonical Reduction Systems in Artin-Tits groups of spherical type
Mar\'ia Cumplido, Juan Gonz\'alez-Meneses, Davide Perego
https://arxiv.org/abs/2510.00713 https://

Canonical Reduction Systems in Artin-Tits groups of spherical type
We introduce the canonical reduction system of an element in an Artin-Tits group of spherical type, which generalizes the similar notion for braids (and mapping classes) introduced by Birman, Lubotzky and McCarthy. We show its basic properties, which coincide with those satisfied in braid groups, and we provide an algorithm to compute it. We improve the algorithm in the case of braid groups, and discuss its complexity in this case. As a necessary result for obtaining the general algorithm, we p…

Have you ever wondered to what extend LLMs are used to support writing of scientific publications? Here is a chart indicating the fraction of LLM-modified sentences in scientific publications over time.
c.f. Liang et al, Mapping the Increasing Use of LLMs in Scientific Papers (2024)
https://arxiv.org/html/2404.01268v1

The Fire We Share
Chen Wang, Mengtan Lin
https://arxiv.org/abs/2510.10841 https://arxiv.org/pdf/2510.10841

The Fire We Share
The Fire We Share proposes a care-centered, consequence-aware visualization framework for engaging with wildfire data not as static metrics, but as living archives of ecological and social entanglement. By combining plants-inspired data forms, event-based mapping, and narrative layering, the project foregrounds fire as a shared temporal condition-one that cuts across natural cycles and human systems. Rather than simplifying wildfire data into digestible visuals, The Fire We Share reimagines it …

Data-Driven State Observers for Measure-Preserving Systems
Wentao Tang
https://arxiv.org/abs/2509.20596 https://arxiv.org/pdf/2509.20596

Data-Driven State Observers for Measure-Preserving Systems
The increasing use of data-driven control strategies gives rise to the problem of learning-based state observation. Motivated by this need, the present work proposes a data-driven approach for the synthesis of state observers for discrete-time nonlinear systems with measure-preserving dynamics. To this end, Kazantzis-Kravaris/Luenburger (KKL) observers are shown to be well-defined, where the observer design boils down to determining a nonlinear injective mapping of states and its pseudo-inverse…

A Theoretically-Grounded Codebook for Digital Semantic Communications
Lingyi Wang, Rashed Shelim, Walid Saad, Naren Ramakrishnan
https://arxiv.org/abs/2510.07108 https://…

A Theoretically-Grounded Codebook for Digital Semantic Communications
The use of a learnable codebook provides an efficient way for semantic communications to map vector-based high-dimensional semantic features onto discrete symbol representations required in digital communication systems. In this paper, the problem of codebook-enabled quantization mapping for digital semantic communications is studied from the perspective of information theory. Particularly, a novel theoretically-grounded codebook design is proposed for jointly optimizing quantization efficiency…

RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction
Leshu Li (Kevin), Jiayin Qin (Kevin), Jie Peng (Kevin), Zishen Wan (Kevin), Huaizhi Qu (Kevin), Ye Han (Kevin), Pingqing Zheng (Kevin), Hongsen Zhang (Kevin), Yu (Kevin), Cao (Katie), Tianlong Chen (Katie), Yang (Katie), Zhao
https://arxiv.org/abs/2510.0664…

RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction
3D Gaussian Splatting (3DGS) based Simultaneous Localization and Mapping (SLAM) systems can largely benefit from 3DGS's state-of-the-art rendering efficiency and accuracy, but have not yet been adopted in resource-constrained edge devices due to insufficient speed. Addressing this, we identify notable redundancies across the SLAM pipeline for acceleration. While conceptually straightforward, practical approaches are required to minimize the overhead associated with identifying and eliminating t…

Replaced article(s) found for cs.MA. https://arxiv.org/list/cs.MA/new
[1/1]:
- Asymmetric Information Enhanced Mapping Framework for Multirobot Exploration based on Deep Reinfo...
Jiyu Cheng, Junhui Fan, Xiaolei Li, Paul L. Rosin, Yibin Li, Wei Zhang

Security-Robustness Trade-offs in Diffusion Steganography: A Comparative Analysis of Pixel-Space and VAE-Based Architectures
Yuhua Xu, Wei Sun, Chengpei Tang, Jiaxing Lu, Jingying Zhou, Chen Gu
https://arxiv.org/abs/2510.07219

Security-Robustness Trade-offs in Diffusion Steganography: A Comparative Analysis of Pixel-Space and VAE-Based Architectures
Current generative steganography research mainly pursues computationally expensive mappings to perfect Gaussian priors within single diffusion model architectures. This work introduces an efficient framework based on approximate Gaussian mapping governed by a scale factor calibrated through capacity-aware adaptive optimization. Using this framework as a unified analytical tool, systematic comparative analysis of steganography in pixel-space models versus VAE-based latent-space systems is conduc…

A general optimization framework for mapping local transition-state networks
Qichen Xu, Anna Delin
https://arxiv.org/abs/2509.26269 https://arxiv.org/pdf/2…

A general optimization framework for mapping local transition-state networks
Understanding how complex systems transition between states requires mapping the energy landscape that governs these changes. Local transition-state networks reveal the barrier architecture that explains observed behaviour and enables mechanism-based prediction across computational chemistry, biology, and physics, yet current practice either prescribes endpoints or randomly samples only a few saddles around an initial guess. We present a general optimization framework that systematically expand…

Replaced article(s) found for cs.MA. https://arxiv.org/list/cs.MA/new
[1/1]:
- Asymmetric Information Enhanced Mapping Framework for Multirobot Exploration based on Deep Reinfo...
Jiyu Cheng, Junhui Fan, Xiaolei Li, Paul L. Rosin, Yibin Li, Wei Zhang