A matched-overlap event-study DiD of Uniswap’s protocol-fee switch finds no large short-run average LP liquidity, depth, or participation response to take-rate cuts.
and Barto, Andrew G
6 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 6representative citing papers
W-SparQ-BL models time-varying lower-level responses with multi-output GPs and sparse approximations to achieve sublinear dynamic regret in bilevel optimization under noise.
AI benchmarks trap progress by operationalizing assumptions that redefine capabilities around the benchmarks themselves, and Epistematics provides an audit procedure to detect when evaluations cannot discriminate claimed capabilities from proxy behaviors.
A perspective article defining world models as finite-resource compression of physical state transitions and outlining a roadmap toward physical AGI via unified representations and interactive simulators.
AI agents lack the persistent identity and feedback mechanisms needed for consequence reception, requiring new architectures or continued human accountability.
citing papers explorer
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Causal Effects of Protocol-Fee Changes on Liquidity Provision in Automated Market Makers
A matched-overlap event-study DiD of Uniswap’s protocol-fee switch finds no large short-run average LP liquidity, depth, or participation response to take-rate cuts.
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No-regret optimization of time-varying bilevel problems
W-SparQ-BL models time-varying lower-level responses with multi-output GPs and sparse approximations to achieve sublinear dynamic regret in bilevel optimization under noise.
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The Evaluation Trap: Benchmark Design as Theoretical Commitment
AI benchmarks trap progress by operationalizing assumptions that redefine capabilities around the benchmarks themselves, and Epistematics provides an audit procedure to detect when evaluations cannot discriminate claimed capabilities from proxy behaviors.
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A Definition and Roadmap for World Models
A perspective article defining world models as finite-resource compression of physical state transitions and outlining a roadmap toward physical AGI via unified representations and interactive simulators.
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Some[Body] Must Receive That Pain for Agent Accountability
AI agents lack the persistent identity and feedback mechanisms needed for consequence reception, requiring new architectures or continued human accountability.
- Liquidity-Based Audit of Algorithmic Trading Strategies