Gleaner replaces slow graph-based trace analysis with bag-of-edges set operations plus log semantics and alarm-driven diversity to deliver faster, higher-fidelity sampling that improves RCA accuracy even at 1% rates.
Graph- structured small molecule drug discovery through deep learning: Progress, challenges, and opportunities
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CliffSplit exposes at least 15% higher errors in cliff-heavy regions of QM9 while CliffLoss narrows the cliff-to-smooth error gap by up to 30% and improves overall MAE by 9.7% across several molecular tasks and backbones.
Log-coverage metrics show Claude Opus 4.6 beats human Locust tests on unique log templates on Light-OAuth2, while EvoMaster and GPT lag, and strategy combinations uncover largely distinct behaviors.
Proposes a six-layer SSbD architecture using Professional Proxies and hardware-isolated workflows to enable signed compliance reporting in industrial data spaces without exposing process recipes.
INAR-VL routes 36% of visual question answering requests to the edge using lightweight complexity signals, cutting latency 24% and energy 26% while retaining 97% of cloud accuracy.
citing papers explorer
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Gleaner: A Semantically-Rich and Efficient Online Sampler for Microservice Diagnostics
Gleaner replaces slow graph-based trace analysis with bag-of-edges set operations plus log semantics and alarm-driven diversity to deliver faster, higher-fidelity sampling that improves RCA accuracy even at 1% rates.
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When Molecular Similarity Works: Property Cliffs Reveal Hidden Errors
CliffSplit exposes at least 15% higher errors in cliff-heavy regions of QM9 while CliffLoss narrows the cliff-to-smooth error gap by up to 30% and improves overall MAE by 9.7% across several molecular tasks and backbones.
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Assessing REST API Test Generation Strategies with Log Coverage
Log-coverage metrics show Claude Opus 4.6 beats human Locust tests on unique log templates on Light-OAuth2, while EvoMaster and GPT lag, and strategy combinations uncover largely distinct behaviors.
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Trustworthy Smart Fabs via Professional Proxies: Scaling Safe and Sustainable by Design (SSbD) through Industrial Data Spaces
Proposes a six-layer SSbD architecture using Professional Proxies and hardware-isolated workflows to enable signed compliance reporting in industrial data spaces without exposing process recipes.
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INAR-VL: Input-Aware Routing for Edge-Cloud Vision-Language Inference
INAR-VL routes 36% of visual question answering requests to the edge using lightweight complexity signals, cutting latency 24% and energy 26% while retaining 97% of cloud accuracy.