SkVM uses capability profiling and compiler-style techniques to make skills portable across LLMs and harnesses, raising task completion rates while cutting token use by up to 40% and delivering up to 3.2x speedup.
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6 Pith papers cite this work. Polarity classification is still indexing.
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2026 6verdicts
UNVERDICTED 6representative citing papers
PEEK maintains a constant-sized context map via a programmable cache policy to give LLM agents persistent orientation knowledge about recurring external contexts, yielding 6-34% gains and lower cost than prior prompt-learning methods.
A Qatar gas disruption causes large supply losses in Asia and Europe, hitting India, China, and South Korea hardest, with trade shifts and extra production providing only partial and uneven relief.
Infrastructure sends crack regions of interest to vehicles for focused camera processing and AI-based crack detection using trained models on forward-facing road images.
Nano Banana 2 delivers competitive perceptual quality on image restoration but produces over-enhanced results that diverge from input fidelity in ways standard metrics miss.
DarwinNet is a tri-layered evolutionary network architecture that synthesizes intents into bytecode via LLM-driven adaptation and tracks maturity with a Protocol Solidification Index to achieve anti-fragility.
citing papers explorer
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SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and Harnesses
SkVM uses capability profiling and compiler-style techniques to make skills portable across LLMs and harnesses, raising task completion rates while cutting token use by up to 40% and delivering up to 3.2x speedup.
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PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents
PEEK maintains a constant-sized context map via a programmable cache policy to give LLM agents persistent orientation knowledge about recurring external contexts, yielding 6-34% gains and lower cost than prior prompt-learning methods.
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Estimating the cascading global impacts of gas disruptions in Qatar
A Qatar gas disruption causes large supply losses in Asia and Europe, hitting India, China, and South Korea hardest, with trade shifts and extra production providing only partial and uneven relief.
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Infrastructure-Guided Connectivity-Enhanced Road Crack Detection and Estimation
Infrastructure sends crack regions of interest to vehicles for focused camera processing and AI-based crack detection using trained models on forward-facing road images.
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Can Nano Banana 2 Replace Traditional Image Restoration Models? An Evaluation of Its Performance on Image Restoration Tasks
Nano Banana 2 delivers competitive perceptual quality on image restoration but produces over-enhanced results that diverge from input fidelity in ways standard metrics miss.
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DarwinNet: An Evolutionary Network Architecture for Agent-Driven Protocol Synthesis
DarwinNet is a tri-layered evolutionary network architecture that synthesizes intents into bytecode via LLM-driven adaptation and tracks maturity with a Protocol Solidification Index to achieve anti-fragility.