EquivSVA: A Formally Verified Dataset of Behavioral Assertions Across Equivalent RTL Implementations
Paper recorded by Signals 4 on 2026-09-22 in cs.LG. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-22 on arXiv · recorded by Signals 4 on 2026-09-23
Category: cs.LG · 机器学习 · first seen 2026-09-23
Abstract
Large language models are increasingly used to generate SystemVerilog Assertions from natural-language specifica- tions and register-transfer-level designs. Existing datasets and benchmarks support important goals such as large- scale training, formal evaluation, specification-to-assertion generation, and mutation-based testing. A complemen- tary need is to study whether a generated assertion cap-
Read on arXiv →
Cite this page: EquivSVA: A Formally Verified Dataset of Behavioral Assertions Across Equivalent RTL Implementations: the #2 most recent of 263 cs.LG papers we have recorded (as of 2026-09-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/equivsva-a-formally-verified-dataset-of-behavioral-assertions-across-equivalent-.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable:
papers.json
Get 4 AI signals a day by email — free.
Get 4 AI signals a day by email — free