zkDaily - 2026-02-23

零知识证明 zkDaily

ZKP Frontier Tracker 🎯

Mon

02.23

2026

Jolt Atlas: Verifiable Inference via Lookup Arguments in Zero Knowledge

Paper

https://arxiv.org/abs/2602.17452

Wyatt Benno zkML ONNX Jolt

Benno et al. proposed Jolt Atlas, a zkML framework based on the Jolt proving system, enabling efficient verifiable inference via lookup arguments and ONNX format, supporting streaming proofs in memory-constrained environments.

Notes

Jolt Atlas extends the Jolt proving system to ONNX tensor operations, simplifying memory consistency verification.
Uses lookup arguments with Sumcheck protocol, well-suited for non-linear functions in modern ML.
Optimizes lookup table size via neural teleportation while preserving model accuracy.
Supports streaming proofs in memory-constrained environments, runnable on-device without specialized hardware.
Achieves zero-knowledge through BlindFold technique for enhanced privacy.
Demonstrates practical proving times for classification, embedding, automated reasoning, and small language models.

Collected by @icerdesign

零知识证明 zkDaily

Q&A Deep Dive 💬

Mon

02.23

2026

What is the fundamental difference between Jolt Atlas and traditional zkVMs?

Traditional zkVMs emulate CPU instruction execution, whereas Jolt Atlas targets ONNX tensor operations directly. It avoids register and general memory consistency overhead, aligning more closely with ML computation models.

Why are lookup arguments particularly suitable for non-linear functions?

Non-linear functions are difficult to express with simple arithmetic constraints. Lookup arguments combined with sumcheck efficiently verify membership in predefined function tables, supporting activations and similar operations.

How does BlindFold provide zero-knowledge guarantees for inference?

BlindFold randomizes and hides intermediate states during proof generation, preventing the verifier from recovering model weights or inputs, thereby ensuring strict zero-knowledge.

Prompted by @icerdesign