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  "limitations": [
    "The six neural checkpoints are scalar evaluators, not move-policy models or explanation models.",
    "Their 768 inputs encode piece placement only; side to move is applied after inference, while castling rights, en-passant state, repetition, move history, and clocks are not model inputs.",
    "Profile labels describe intended training or runtime behavior and do not prove human-like personality or internal understanding.",
    "Stockfish results use a fixed node budget and configuration and are a verification snapshot, not a claim of perfect play.",
    "Stockfish was required to use two search threads. Parallel search can produce small score, depth, node-count, or PV differences on a fresh rerun even when the configured node limit is unchanged.",
    "Centipawn loss uses a 100,000 cp comparison value for forced-mate scores; mate status and mate distance are also reported separately.",
    "The analysis does not measure Elo, playing strength, or clean unseen test accuracy.",
    "Any reader-facing move explanation must describe observable chess features; it must not be presented as the model's internal reasoning."
  ]
}