Paper 2026/006 Original: eprint.iacr.org/2026/006 ↗

SNARGs for NP and Non-Signaling PCPs, Revisited

Lalita Devadas
Samuel B. Hopkins
Yael Tauman Kalai
Pravesh K. Kothari
Alex Lombardi
Surya Mathialagan
Abstract

We revisit the question of whether it is possible to build succinct non-interactive arguments ($\mathsf{SNARG}$s) for all of $\mathsf{NP}$ under standard assumptions using non-signaling probabilistically checkable proofs [Kalai-Raz-Rothblum, STOC' 14]. In particular, we observe that using exponential-length PCPs appears to circumvent all of the existing barriers. For our main result, we give a candidate non-adaptive $\mathsf{SNARG}$ for $\mathsf{NP}$ and prove its soundness under: - the learning with errors assumption (or other standard assumptions such as bilinear maps), and - a mathematical conjecture about multivariate polynomials over the reals. In more detail, our conjecture is an upper bound on the minimum total coefficient size of Nullstellensatz proofs (Potechin-Zhang, ICALP 2024) of membership in a concrete polynomial ideal. We emphasize that this is not a cryptographic assumption or any form of computational hardness assumption. Of particular interest is the fact that our security analysis makes non-black-box use of the $\mathsf{SNARG}$ adversary, circumventing the black-box barrier of Gentry and Wichs (STOC '11). This gives a blueprint for constructing $\mathsf{SNARG}$s for $\mathsf{NP}$ that is not subject to the Gentry-Wichs barrier.

Metadata
Available format(s)
PDF
Category
Foundations
Publication info
Preprint.
History
2026-01-08: last updated
2026-01-03: published
Short URL
https://ia.cr/2026/006
License
https://creativecommons.org/licenses/by-nc-sa/4.0/

BibTeX

@misc{cryptoeprint:2026/006,
      author = {Lalita Devadas and Samuel B. Hopkins and Yael Tauman Kalai and Pravesh K. Kothari and Alex Lombardi and Surya Mathialagan},
      title = {SNARGs for NP and Non-Signaling PCPs, Revisited},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/006},
      year = {2026},
      url = {https://eprint.iacr.org/2026/006}
}
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