LLM-Assisted Dialect-Agnostic SQL Query Parsing
Read the paper · doi:10.1145/3758316.3763249
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 |
|---|---|---|
| 14 | Manuel Rigger and Zhendong Su. 2020. Finding Bugs in Database Systems via Query Partitioning. Proc. ACM Program. Lang. 4, OOPSLA, Article 211 (2020). https://doi.org/10.1145/3428279 | sqlancer publication · TLP |
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 | Many tasks, such as SQL linting [ 17], test case reduction [ 10], DBMS testing [ 8,14], and SQL grading [ 2], rely on query analysis and rewriting. |
citation marker |
1 Introduction page 1 |