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Computer Science Preprint PDF DOI

SWE-Bench 5G: Benchmarking AI Coding Agents on Telecom Network Engineering Tasks

Jiao Chen, Jianhua Tang, Xiaotong Yang, Zuohong Lv · 2026

AI coding agents demonstrate strong performance on general-purpose software benchmarks. However, their ability to handle 5G network engineering tasks remains unexplored. We propose SWE-Bench~5G, the f…

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Physics Preprint PDF DOI

A graph-aware bounded distance decoder for all stabilizer codes

Harikrishnan K J, Amit Kumar Pal · 2026

We formulate a bounded distance decoding strategy applicable to all stabilizer codes including both CSS and non-CSS code-families. The framework emerges out of the local Clifford equivalence between a…

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AI & Data Science Preprint PDF DOI

Toward a Science of Intent: Closure Gaps and Delegation Envelopes for Open-World AI Agents

Maximiliano Armesto, Christophe Kolb · 2026

Recent work has framed intelligence in verifiable tasks as reducing time-to-solution through learned structure and test-time search, while systems work has explored learned runtimes in which computati…

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AI & Data Science Preprint PDF DOI

A New Kind of Network? Review and Reference Implementation of Neural Cellular Automata

Martin Spitznagel, Janis Keuper · 2026

Stephen Wolfram proclaimed in his 2003 seminal work "A New Kind Of Science" that simple recursive programs in the form of Cellular Automata (CA) are a promising approach to replace currently used math…

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Mathematics Preprint PDF DOI

A rational model for the fiberwise THH transfer II: $A_\infty$-algebras

Florian Naef, Robin Stoll · 2026

In Part I, we proved that a rational model for the fiberwise THH transfer of a map $f$ of fibrations over a base space is given by the Hochschild homology transfer of a cdga model of $f$. In this pape…

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AI & Data Science Preprint PDF DOI

NeuroClaw Technical Report

Cheng Wang, Zhibin He, Zhihao Peng, Shengyuan Liu, Yufan Hu, Lichao Sun, Xiang Li, Yixuan Yuan · 2026

Agentic artificial intelligence systems promise to accelerate scientific workflows, but neuroimaging poses unique challenges: heterogeneous modalities (sMRI, fMRI, dMRI, EEG), long multi-stage pipelin…

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Computer Science Preprint PDF DOI

Counterexample-Guided Interval Weakening

Ben M. Andrew, Louise A. Dennis, Michael Fisher, Marie Farrell · 2026

Systems deployed for long periods of time in dynamic environments may experience performance degradation that affects timing guarantees, even when their functional behaviour remains unchanged. In the …

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AI & Data Science Preprint PDF DOI

See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection

Zhiheng Wu, Tong Wang, Shuning Wang, Naiming Liu, Yumeng Zhang · 2026

Recent advances in Vision-Language Models (VLMs) have benefited from Reinforcement Learning (RL) for enhanced reasoning. However, existing methods still face critical limitations, including the lack o…

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Computer Science Preprint PDF DOI

KISS Sorcar: A Stupidly-Simple General-Purpose and Software Engineering AI Assistant

Koushik Sen · 2026

Large language models can generate code and call tools with remarkable fluency, yet deploying them as practical software engineering assistants still expose stubborn gaps: finite context windows, sing…

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Physics Preprint PDF DOI

A Fully Quantum Algorithm for Image Edge Detection

Fred Sun · 2026

This work introduces a novel quantum algorithm for gradient-based edge detection that operates entirely within the quantum circuit model. Grayscale images are encoded using the Novel Enhanced Quantum …

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Computer Science Preprint PDF DOI

AutoINV: Automated Invariant Generation Framework for Formal Verification on High-Level Synthesis Designs

Xiaofeng Zhou, Linfeng Du, Guangyu Hu, Sharad Sinha, Hongce Zhang, Wei Zhang · 2026

High-level synthesis (HLS) transforms an algorithmic description of hardware from a higher abstraction (e.g., C/C++) into a register-transfer level (RTL) design, offering reduced development time and …

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AI & Data Science Preprint PDF DOI

Incentivizing Neuro-symbolic Language-based Reasoning in VLMs via Reinforcement Learning

Karthic Palaniappan · 2026

There are 7,407 languages in the world. But, what about the languages that are not there in the world? Are humans so narrow minded that we don't care about the languages aliens communicate in? Aliens …

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Computer Science Preprint PDF DOI

FlyCatcher: Neural Inference of Runtime Checkers from Tests

Beatriz Souza, Chang Lou, Suman Nath, Michael Pradel · 2026

Complex software systems often suffer from silent failures, i.e., violations of the intended semantics that do not cause explicit errors. A promising approach to detect such errors is to use system-sp…

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Physics Preprint PDF DOI

Dive deeper with SUBMARINE: SUB-Mev dArk matter diRect detectIon using bilayer grapheNE

Rinchen Sherpa, Anuvab Sarkar, Tarak Nath Maity, Paramita Dutta, Ranjan Laha, Anirban Das · 2026

Novel target materials with anisotropic response will play a key role in detecting low-mass dark matter in upcoming experiments. Bilayer graphene is one such material that has been proposed for the de…

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Computer Science Preprint PDF DOI

A-IC3: Learning-Guided Adaptive Inductive Generalization for Hardware Model Checking

Xiaofeng Zhou, Guangyu Hu, Hongce Zhang, Wei Zhang · 2026

The IC3 algorithm represents the state-of-the-art (SOTA) hardware model checking technique, owing to its robust performance and scalability. A significant body of research has focused on enhancing the…

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AI & Data Science Preprint PDF DOI

AGNT2: Autonomous Agent Economies on Interaction-Optimized Layer 2 Infrastructure

Anbang Ruan, Xing Zhang · 2026

Current blockchain Layer 2 solutions, including Optimism, Arbitrum, zkSync, and their derivatives, optimize for human-initiated financial transactions. Autonomous AI agents instead generate high-frequ…

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Computer Science Preprint PDF DOI

DECIFR: Domain-Aware Exfiltration of Circuit Information from Federated Gradient Reconstruction

Gijung Lee, Wavid Bowman, Olivia P. Dizon-Paradis, Reiner N. Dizon-Paradis, Ronald Wilson, Damon L. Woodard, Domenic Forte · 2026

Federated Learning (FL) is a promising approach for multiparty collaboration as a privacy-preserving technique in hardware assurance, but its security against adversaries with domain-specific knowledg…

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Computer Science Preprint PDF DOI

Demonstrating a Future for MLIR-native DSL Compilers on a NumPy-like Example

Karl F. A. Friebel, Jascha A. Ohlmann, Jeronimo Castrillon · 2026

Compilers for general-purpose languages have been shown to be at a disadvantage when it comes to specialized application domains as opposed to their Domain-Specific Language (DSL) counterparts. Howeve…

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Mathematics Preprint PDF DOI

Statistical Limit Theorems for Axiom A Diffeomorphisms: Exponential Mixing, Central Limit Theorem, and Large Deviations

Abdoulaye Thiam · 2026

We establish statistical limit theorems for equilibrium states of Axiom A diffeomorphisms, derived from the spectral gap of the Ruelle transfer operator established in Part I (Thiam2026a) and transfer…

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Engineering Preprint PDF DOI

$\mu$-FlowNet: A Deep Learning Approach for Mapping Flow Fields in Irregular Microchannels Using an Attention-based U-Net Encoder-Decoder Architecture

Ganesh Sahadeo Meshram, Suman Chakraborty, Nishant Sinha, Partha Pratim Chakrabarti · 2026

In the complex domain of microfluidics systems, analysing fluid flow patterns through random-shaped circular microchannels is significantly challenging task. Conventional approach of solving such prob…

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