For the versioned v5.3 development protocol, named comparison suites, locked model selection, and paired statistics, see PyTorch implementation of LatticeSpike, the architecture in latticesnnhallucination.tex: online LLM hallucination detection by combining a Galois-connection Box-embedding lattice with a box-volume-modulated recurrent spiking neural network. (Only torch, numpy, scikit-learn are required. transformers is optional, for real-LLM signal extraction.) For development and the full unit suite: The demo trains unsupervised on (mostly) grounded synthetic sequences and reports token-level AUPRC, lead time, and per-channel gate attribution. The consolidated real-data diagnostic…
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Anonymous Submission Hugging Face
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