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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3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
UNVERDICTED 3representative citing papers
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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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.