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Sociology & Anthropology Preprint PDF DOI

Assessing the Role of Intersection Proximity in Pedestrian Crashes: Insights from Data Mining Approach

Ahmed Hossain, Xiaoduan Sun, Subasish Das · 2026

Although intersections are the most complex parts of the roadway network, pedestrian crashes at non-intersection locations are disproportionately frequent, highlighting a serious traffic safety concer…

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Computer Science Preprint PDF DOI

Monadic Presburger Predicates have Robust Population Protocols

Philipp Czerner, Javier Esparza, Vincent Fischer, Roland Guttenberg, Julian Pins, Simon Reilich · 2026

Population protocols are a model of distributed computation in which a collection of indistinguishable finite-state agents interact randomly in pairs to decide a predicate of their initial configurati…

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Physics Preprint PDF DOI

First Observation of Multiple Very-Near-Earth Reconnection Events During a Single Storm Main Phase

Fekireselassie Beyene, Vassilis Angelopoulos, Christine Gabrielse, Yoshizumi Miyoshi, Iku Shinohara, Shoichiro Yokota, Satoshi Kasahara, Kunihiro Keika, Tomoaki Hori, Yasumasa Kasaba, Yoshiya Kasahara, Ayako Matsuoka, Mariko Teramoto, Kazuhiro Yamamoto · 2026

For the first time, this paper presents three very-near-Earth reconnection (VNERX) events observed within the same 12-hour-long storm main phase. The THEMIS inner probes observed the hallmarks of thre…

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Computer Science Preprint PDF DOI

RESTestBench: A Benchmark for Evaluating the Effectiveness of LLM-Generated REST API Test Cases from NL Requirements

Leon Kogler, Stefan Hangler, Maximilian Ehrhart, Benedikt Dornauer, Roland Wuersching, Peter Schrammel · 2026

Existing REST API testing tools are typically evaluated using code coverage and crash-based fault metrics. However, recent LLM-based approaches increasingly generate tests from NL requirements to vali…

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AI & Data Science Preprint PDF DOI

Feasible-First Exploration for Constrained ML Deployment Optimization in Crash-Prone Hierarchical Search Spaces

Christian Lysenst{o}en · 2026

Deploying machine learning models under production constraints requires joint optimization over model family, quantization scheme, runtime backend, and serving configuration. This induces a hierarchic…

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AI & Data Science Preprint PDF DOI

The Last Human-Written Paper: Agent-Native Research Artifacts

Jiachen Liu, Jiaxin Pei, Jintao Huang, Chenglei Si, Ao Qu, Xiangru Tang, Runyu Lu, Lichang Chen, Xiaoyan Bai, Haizhong Zheng, Carl Chen, Zhiyang Chen, Haojie Ye, Yujuan Fu, Zexue He, Zijian Jin, Zhenyu Zhang, Shangquan Sun, Maestro Harmon, John Dianzhuo Wang, Jianqiao Zeng, Jiachen Sun, Mingyuan Wu, Baoyu Zhou, Chenyu You, Shijian Lu, Yiming Qiu, Fan Lai, Yuan Yuan, Yao Li, Junyuan Hong, Ruihao Zhu, Beidi Chen, Alex Pentland, Ang Chen, Mosharaf Chowdhury, Zechen Zhang · 2026

Scientific publication compresses a branching, iterative research process into a linear narrative, discarding the majority of what was discovered along the way. This compilation imposes two structural…

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Economics & Finance Preprint PDF DOI

Multiplicative Contractions, Additive Recoveries: Functional-Form Restrictions on Risk Exposure Dynamics

Liang Chen · 2026

We test a regime-conditional functional-form restriction on aggregate risk-exposure dynamics implied by VaR-constrained intermediary models: exposures contract multiplicatively when capital constraint…

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Computer Science Preprint PDF DOI

TRACE: Topology-aware Reconstruction of Accidents in CARLA for AV Evaluation

Nahian Salsabil, Sebastian Elbaum · 2026

Validating Autonomous Vehicles (AVs) requires exposure to rare, safety-critical scenarios, infrequent in routine driving data. Existing benchmarks address this by generating synthetic conflicts or map…

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AI & Data Science Preprint PDF DOI

Satisfying Rationality Postulates of Structured Argumentation Through Deductive Support -- Technical Report

Marcos Cramer, Tom Friese · 2026

ASPIC-style structured argumentation frameworks provide a formal basis for reasoning in artificial intelligence by combining internal argument structure with abstract argumentation semantics. A key ch…

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Engineering Preprint PDF DOI

Cortex 2.0: Grounding World Models in Real-World Industrial Deployment

Adriana Aida, Walid Amer, Katarina Bankovic, Dhruv Behl, Fabian Busch, Annie Bhalla, Minh Duong, Florian Gienger, Rohan Godse, Denis Grachev, Ralf Gulde, Elisa Hagensieker, Junpeng Hu, Shivam Joshi, Tobias Knobloch, Likith Kumar, Damien LaRocque, Keerthana Lokesh, Omar Moured, Khiem Nguyen, Christian Preyss, Ranjith Sriganesan, Vikram Singh, Carsten Sponner, Anh Tong, Dominik Tuscher, Marc Tuscher, Pavan Upputuri · 2026

Industrial robotic manipulation demands reliable long-horizon execution across embodiments, tasks, and changing object distributions. While Vision-Language-Action models have demonstrated strong gener…

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Computer Science Preprint PDF DOI

Crash-free Deductive Verifiers

Wander Nauta, Marcus Gerhold, Marieke Huisman · 2026

As deductive verifiers mature, their potential user base is growing from the initial core developers to other users. To convince external users of the suitability of verifiers, these tools must run re…

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Computer Science Preprint PDF DOI

SDLLMFuzz: Dynamic-static LLM-assisted greybox fuzzing for structured input programs

Yihao Zou, Tianming Zheng, Futai Zou, Yue Wu · 2026

Fuzzing has become a widely adopted technique for vulnerability discovery, yet it remains ineffective for structured-input programs due to strict syntactic constraints and limited semantic awareness. …

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AI & Data Science Preprint PDF DOI

SLO-Guard: Crash-Aware, Budget-Consistent Autotuning for SLO-Constrained LLM Serving

Christian Lysenst{o}en · 2026

Serving large language models under latency service-level objectives (SLOs) is a configuration-heavy systems problem with an unusually failure-prone search space: many plausible configurations crash o…

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Engineering Preprint PDF DOI

ORCA -- Online Regime Correlation Analyzer

Boris Kriuk, Fedor Kriuk · 2026

Standard risk models reduce the rich dependence structure of financial markets to scalar volatility estimates, discarding the topological information encoded in cross-asset correlation networks. We pr…

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Engineering Preprint PDF DOI

Leveraging VR Robot Games to Facilitate Data Collection for Embodied Intelligence Tasks

Yihan Zhang, Ziyun Huang, Linqi Ye · 2026

Collecting embodied interaction data at scale remains costly and difficult due to the limited accessibility of conventional interfaces. We present a gamified data collection framework based on Unity t…

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Computer Science Preprint PDF DOI

BlockRaFT: A Distributed Framework for Fault-Tolerant and Scalable Blockchain Nodes

Manaswini Piduguralla, Souvik Sarkar, Arunmoezhi Ramachandran, Sathya Peri · 2026

Blockchain technology enhances transparency by maintaining a distributed ledger among mutually untrusting parties. Despite its advantages, scalability and availability remain critical bottlenecks that…

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Computer Science Preprint PDF DOI

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives

Junyi Ma, Pei Li, Rui Gan, Kai Cheng, Steven T. Parker, Bin Ran · 2026

Crash narratives in crash reports provide crucial contextual information for traffic safety analysis. Yet, their broader use is hindered by the presence of personally identifiable information (PII), i…

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Computer Science Preprint PDF DOI

From Translation to Superset: Benchmark-Driven Evolution of a Production AI Agent from Rust to Python

Jinhua Wang, Biswa Sengupta · 2026

Cross-language migration of large software systems is a persistent engineering challenge, particularly when the source codebase evolves rapidly. We present a methodology for LLM-assisted continuous co…

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Computer Science Preprint PDF DOI

Roadside LiDAR for Cooperative Safety Auditing at Urban Intersections: Toward Auditable V2X Infrastructure Intelligence

Bo Shang, Yiqiao Li · 2026

Urban intersections expose the limitations of single-vehicle perception under occlusion and partial observability. In this study, we present an auditable roadside LiDAR framework for infrastructure-as…

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Computer Science Preprint PDF DOI

Finding Nemo-Nemo: CFT DAG-based Consensus in the WAN

Rithwik Kerur, Pasindu Tennage, Philipp Jovanovic, Dahlia Malkhi, Alberto Sonnino, Igor Zablotchi · 2026

This paper introduces Nemo-Nemo, a practical crash-fault tolerant (CFT) consensus protocol designed to outperform existing protocols in wide-area networks by bridging design principles from the CFT an…

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