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Nathan Prados Tapia

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#reinforcement learning Open access Sep 2026

Epistemic Calibration and Latency Advantages of System One Probabilistic Agents in Limit Order Book Microstructure: An Empirical and Multi-Agent Evaluation

Autoregressive Large Language Models (LLMs) operating under the deliberative System Two paradigm encounter severe structural bottlenecks when deployed in electronic financial markets: token-by-token sequential decoding induces unacceptable execution latencies (3,500-12,000 ms), unstructured text outputs trigger syntact...

Nathan Prados Tapia · 0 citations

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