Training Witnesses: Trusting the Training without Trusting the Trainer

arXiv:2609.33915 · cs.LG, cs.CR · Submitted 2026-09-27 · Read on arXiv

cs.LG, cs.CR

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/pyo3/maturin

Terminology

• Verifier — 35× in this paper · explained in 2 episodes
• Verification — 27× in this paper · explained in 2 episodes
• Provenance — 10× in this paper · explained in 4 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Fingerprinting — 3× in this paper · explained in 2 episodes
• Axioms — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Adaptive Sampling — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Data Provenance — 1× in this paper · explained in 2 episodes
• Decentralized Learning — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Machine Unlearning — 1× in this paper · explained in 2 episodes
• Resident Set Size — 1× in this paper

Sources

• Stop Automating Peer Review Without Rigorous Evaluation
• How to sketch a learning algorithm
• ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates
• Zero knowledge verification for frontier AI training is possible
• Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples

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