ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling
Read the paper · doi:10.14778/3828612.3828639 · arXiv:2606.20853
What this paper does with SQLancer
How it was classified
uses infrastructure — no
SQLancer is cited, not used; nothing in the mentions describes reusing its code.
extends technique — no
No technique is extended; the citation is background.
compares with — no
No empirical comparison against SQLancer is reported in the mentions.
describes as state of the art — no
The citation does not characterise SQLancer as the state of the art.
SQLancer publications it cites (1)
Bibliography entries that resolved to a SQLancer publication, or to a paper by one of the project's authors. A sentence citing one of these numbers is a reference to SQLancer even when it never writes the name.
| # | Entry | Matched as |
|---|---|---|
| 78 | Manuel Rigger and Zhendong Su. 2020. Detecting optimization bugs in database engines via non-optimizing reference engine construction. InESEC/FSE. 1140– 1152. https://doi.org/10.1145/3368089.3409710 | sqlancer publication · NOREC |
Every place it refers to SQLancer (1)
1 sentence, each stored verbatim from the extracted text with where it was found and how. “Citation marker” means the sentence names no tool at all and was reached through a reference number that resolved to a SQLancer publication.
| Id | Sentence | Found by | Where |
|---|---|---|---|
| M1 | Beyond these methods, prior work on SQL testing [ 78] and text-to-SQL generation [ 74] compare query results directly. |
citation marker |
7.3 Micro Benchmarks page 12 |