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  1. deep-lob deep-lob Public

    A PyTorch pipeline for learning short-horizon price movement from synthetic limit order book data.

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    Point-in-time vs latest-data reconstruction: measuring hindsight bias in revision-aware historical decisions.

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    Calibrated finite-capacity decision assurance under predictive uncertainty.

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    Detection versus diagnosis of model degradation with label-free estimation and explicit ambiguity.

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    Release identity, behavioral equivalence, and rollback recovery across model-system boundaries.

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    Sekiya — Models & Statistics: spectral recovery Monte Carlo study

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