Nb3Sn films on Cu via Cu-Sn diffusion achieve Q=77,000 at zero field in a test cavity, outperforming bare Cu for potential axion searches.
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A2d2: Audi au- tonomous driving dataset
Canonical reference. 75% of citing Pith papers cite this work as background.
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BadmintonGRF is a new public multimodal dataset and benchmark that pairs multi-view video with instrumented GRF for markerless load estimation in badminton.
RAG-Reflect achieves F1=0.78 on valid comment-edit prediction using retrieval-augmented reasoning and self-reflection, outperforming baselines and approaching fine-tuned models without retraining.
CROWD is a new global dataset of 51,753 continuous urban dashcam segments spanning over 20,000 hours from 238 countries, with manual labels and automated object detections for routine driving analysis.
Chain-of-illocution prompting improves source adherence in RAG explanations for programming education by up to 63% over baselines.
Pilot study shows agent decision reconstructability varies by vendor SDK regime, with completeness scores from 42.9% to 85.7% and consistent gaps in reasoning traces.
The paper defines and evaluates Trojan Hippo attacks on LLM agent memory, showing 85-100% success in data exfiltration across backends and reduced rates with defenses at varying utility costs.
HERITRACE is a domain-agnostic framework for SHACL-driven RDF curation with automatic provenance and change tracking.
EdgeFlow reduces mobile LLM cold-start latency up to 4.07x versus llama.cpp, MNN, and llm.npu by NPU-aware adaptive quantization, SIMD-friendly packing, and synergistic granular CPU-NPU pipelining at comparable accuracy.
Agentic Business Process Management reframes BPM around autonomous agents that must exhibit framed autonomy, explainability, conversational actionability, and self-modification to keep their actions aligned with organizational objectives.
Graph metrics from similarity graphs plus active learning on cluster attributes produce a classifier that outperforms prior cluster repair methods on both clean and duplicate-containing datasets.
GPU-accelerated N-body simulations show that the common acceleration factor f distorts planetary chemical compositions and that terrestrial planets can form resonant chains without gas-driven orbital migration.
Multi-task autoencoders with outlier detection and federated SVDD loss filter noisy samples in non-IID federated learning, yielding accuracy gains up to 7% on CIFAR-10.
JUQCS-50 achieves the first 50-qubit universal quantum computer simulation on the JUPITER supercomputer via CPU-GPU memory extension, adaptive encoding, and network optimization, delivering a 16.6-fold speedup over the prior 48-qubit record.
citing papers explorer
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Nb$_3$Sn Thin Films Using a Cu-Sn Route for Dark Matter Detection
Nb3Sn films on Cu via Cu-Sn diffusion achieve Q=77,000 at zero field in a test cavity, outperforming bare Cu for potential axion searches.
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BadmintonGRF: A Multimodal Dataset and Benchmark for Markerless Ground Reaction Force Estimation in Badminton
BadmintonGRF is a new public multimodal dataset and benchmark that pairs multi-view video with instrumented GRF for markerless load estimation in badminton.
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RAG-Reflect: Agentic Retrieval-Augmented Generation with Reflections for Comment-Driven Code Maintenance on Stack Overflow
RAG-Reflect achieves F1=0.78 on valid comment-edit prediction using retrieval-augmented reasoning and self-reflection, outperforming baselines and approaching fine-tuned models without retraining.
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A global dataset of continuous urban dashcam driving
CROWD is a new global dataset of 51,753 continuous urban dashcam segments spanning over 20,000 hours from 238 countries, with manual labels and automated object detections for routine driving analysis.
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Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models
Chain-of-illocution prompting improves source adherence in RAG explanations for programming education by up to 63% over baselines.
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Property-Level Reconstructability of Agent Decisions: An Anchor-Level Pilot Across Vendor SDK Adapter Regimes
Pilot study shows agent decision reconstructability varies by vendor SDK regime, with completeness scores from 42.9% to 85.7% and consistent gaps in reasoning traces.
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Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration
The paper defines and evaluates Trojan Hippo attacks on LLM agent memory, showing 85-100% success in data exfiltration across backends and reduced rates with defenses at varying utility costs.
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HERITRACE: a domain-agnostic framework for SHACL-driven RDF curation with provenance and change tracking
HERITRACE is a domain-agnostic framework for SHACL-driven RDF curation with automatic provenance and change tracking.
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EdgeFlow: Fast Cold Starts for LLMs on Mobile Devices
EdgeFlow reduces mobile LLM cold-start latency up to 4.07x versus llama.cpp, MNN, and llm.npu by NPU-aware adaptive quantization, SIMD-friendly packing, and synergistic granular CPU-NPU pipelining at comparable accuracy.
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Agentic Business Process Management: A Research Manifesto
Agentic Business Process Management reframes BPM around autonomous agents that must exhibit framed autonomy, explainability, conversational actionability, and self-modification to keep their actions aligned with organizational objectives.
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Graph-based Active Learning for Entity Cluster Repair
Graph metrics from similarity graphs plus active learning on cluster attributes produce a classifier that outperforms prior cluster repair methods on both clean and duplicate-containing datasets.
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Terrestrial planet formation in the era of GPU computing
GPU-accelerated N-body simulations show that the common acceleration factor f distorts planetary chemical compositions and that terrestrial planets can form resonant chains without gas-driven orbital migration.
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Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data
Multi-task autoencoders with outlier detection and federated SVDD loss filter noisy samples in non-IID federated learning, yielding accuracy gains up to 7% on CIFAR-10.
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Universal Quantum Computer Simulation of 50 Qubits on Europe`s First Exascale Supercomputer Harnessing Its Heterogeneous CPU-GPU Architecture
JUQCS-50 achieves the first 50-qubit universal quantum computer simulation on the JUPITER supercomputer via CPU-GPU memory extension, adaptive encoding, and network optimization, delivering a 16.6-fold speedup over the prior 48-qubit record.