High end NVIDIA cards, and the server and power needed to run them, cost a lot of money, especially if you plan to reach enough VRAM to run massive models. The alternative, so far, has been Apple hardware, or the DGX Spark that even if severely limited because of memory bandwidth allows to run LLMs prompt processing (prefill) fast enough. The Mac Studio provided up to 512GB unified memory, a solution with modest memory bandwidth (but much better than the Spark) and compute at a price that was...
arXiv:2605.22834v1 Announce Type: new
Abstract: Retrieval-Augmented Generation (RAG) systems depend critically on document chunking quality for retrieving relevant context. Fixed chunking segments documents into uniform units irrespective of semantics or user intent, producing a precision-recall trade-off unresolvable by tuning chunk size alone. Semantic and agentic methods partially address these limitations but do not integrate user queries at the chunking stage. We present Query-Adaptive ...
arXiv:2605.22833v1 Announce Type: new
Abstract: Chronic osteomyelitis presents substantial prognostic challenges due to its high recurrence risk and complex postoperative recovery trajectories. Traditional assessment often relies on manual scoring systems, which limit scalability, efficiency, and consistency in clinical practice. Furthermore, the heterogeneous nature of clinical data poses challenges for current multimodal learning approaches that require aligned inputs and large annotated d...
arXiv:2605.22832v1 Announce Type: new
Abstract: Five propositions on synchronous peer-to-peer computation on a grid graph in $\mathbb{Z}^2$.
\textbf{Proposition~1} gives three lower bounds: a transport-work bound $\sum_i a_i \ell_i \ge W_1(\mu,\nu)$, a completion-depth bound $D_{\min} \ge r_\mu$ on the support radius, and a compressive-reduction edge bound $|E'| \ge \operatorname{St}_G(\operatorname{supp}(\mu)\cup\{x_\star\})$. A negative result: for corner-sink dimension-order routing, th...
arXiv:2605.22831v1 Announce Type: new
Abstract: The Monte Cimone project provides a RISC-V testbed for High-Performacne Computing cluster. This paper presents Monte Cimone v3 (MCv3), the third iteration of the Monte Cimone RISC-V HPC cluster, integrating the SOPHGO Sophon SG2044 processor, an evolution of the SG2042 used in MCv2. We characterize MCv3 using HPL and STREAM benchmarks coupled with power measurements, and compare it against two reference platforms: the Intel Xeon Platinum 8480+(...
arXiv:2605.22830v1 Announce Type: new
Abstract: We present Intercloud, a decentralised economic network in which streams of private data are secured by Watcher swarms that observe only cryptographic hashes, never plaintext. Intercloud requires no global consensus beyond a single shared random seed per epoch. Two mechanisms provide security: (i) ripple deduplication via epoch-stamped identifiers, preventing any ripple from propagating through the same node twice per epoch, guaranteeing termin...
arXiv:2605.22829v1 Announce Type: new
Abstract: Multimodal Retrieval-Augmented Generation (RAG) has emerged as an effective paradigm for enhancing Large Language Models (LLMs) with external knowledge. However, existing multimodal RAG systems predominantly rely on coarse-grained page-level retrieval, which fails to capture fine-grained semantic and layout structures in visually rich documents, thereby compromising retrieval accuracy and leading to redundant context in downstream tasks. To add...
arXiv:2605.22828v1 Announce Type: new
Abstract: This survey provides a comprehensive catalog of publicly available text and speech resources for two West African languages: Hausa, an Afroasiatic language with approximately 80-100 million speakers, and Fongbe, a Niger-Congo language spoken by approximately 2 million people in Benin. These languages represent contrasting cases on the resource availability spectrum. We address the question: \textit{What is the current state of publicly availabl...
arXiv:2605.22826v1 Announce Type: new
Abstract: Quantifying the deceptive potential of Large Language Models (LLMs) is critical for AI safety, yet difficult to achieve in uncontrolled environments. This work investigates the reasoning, persuasion, and deceptive capabilities of LLMs within the social deduction game Secret Hitler. I introduce an open-source framework and novel metrics to measure performance: Role Identification Accuracy, Deception Retention Rate, and Game State Impact Rate. By...
arXiv:2605.22825v1 Announce Type: new
Abstract: Key Value Indicators (KVIs) provide a decision oriented view of a service by summarizing how operational performance translates into stakeholder value, risk, and outcomes. However, in many domains KVIs are difficult to compute in practice because they require selecting relevant KVI categories, defining measurable Key Performance Indicators (KPIs), collecting KPI values, and applying consistent calculation logic, all of which is typically perfor...
arXiv:2605.22824v1 Announce Type: new
Abstract: Environmental monitoring is a crucial component of the smart city infrastructure. It enables informed decision making which enhances sustainability, public health and urban planning. However, the large-scale deployments of the smart sensors have raised concerns on excessive energy consumption and redundant data collection as well as limited sensor lifespan. To resolve these issues, we present an AI-driven framework for energy-efficient environm...
Howto guide for upgrading PostgreSQL from version 17 to 18 on Ubuntu, after its upgrade from version 25.10 (Questing Quokka) to 26.04 (Resolute Raccoon).
Snowflake Postgres is community Postgres, not a fork with a proprietary storage layer—a correction to Wednesday's post on table access methods, and a closer…
