Research

zkLLMPoT: Efficient Zero Knowledge Proof of Training for Large Language Models

Single source1 source7 Oct 2026

arXiv:2610.08258v2 Announce Type: replace Abstract: Auditing the claimed outcomes of large language model (LLM) training is challenging when model weights and training data are private, while cryptographically proving the full training process is prohibitively

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2610.08258

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