A Gibbs sampler for the multi-object posterior is constructed by proving that its conditional distributions are Bernoulli random finite sets with explicit forms, allowing efficient sampling and new smoothing algorithms.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper proves geometric ergodicity of AMM price tracking error under block-level arbitrage correction and derives explicit one-step bounds connecting tracking quality to liquidity and execution quality.
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Multi-Object Posterior Computation via Gibbs Sampling
A Gibbs sampler for the multi-object posterior is constructed by proving that its conditional distributions are Bernoulli random finite sets with explicit forms, allowing efficient sampling and new smoothing algorithms.
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Arbitrage and the Stability of AMM Price Tracking
The paper proves geometric ergodicity of AMM price tracking error under block-level arbitrage correction and derives explicit one-step bounds connecting tracking quality to liquidity and execution quality.