Card: authors, results update

README.md

@@ -22,9 +22,12 @@ Speed: 0.84 s per question (median, one H100 PCIe).
 
 **Training data:** BIRD train, Spider train, a SynSQL-2.5M sample; the validator also used BIRD-Platinum labels, for which no license was found.
 **License:** not decided; expected research use only.
-**Limitations:** English, SQLite, foreign-key joins only. The plan grammar covers 84.6% of BIRD dev gold queries.
+**Other SQL engines:** without retraining, its SQLite output translated to Snowflake, BigQuery, MySQL, PostgreSQL and DuckDB scores 57.1-59.3% on BIRD dev (SQLite 60.17%).
+**8-bit / Apple silicon:** about 9 GB with both adapters on one 8-bit backbone, same accuracy.
+**As System 1 of a cascade** with Claude Opus 5.5 through the API (threshold 3.0, forwarding only unsure questions): 33.3% cheaper than Opus alone at equal accuracy on 227 questions over databases published after Opus's training cutoff (registered test).
+**Limitations:** English, foreign-key joins only (joins use declared and name-inferred keys). The plan grammar covers 84.6% of BIRD dev gold queries.
 
 ## Citation
 
-Ibrahim Memon and Hanif Jhaveri. 2026. LuthorSQL: A One-Pass Text-to-SQL Model as System 1 for a Slower LLM Agent.
+Ibrahim Memon, Armin Karamzade, Hanif Jhaveri and Roy Fox. 2026. LuthorSQL: A One-Pass Text-to-SQL Model as System 1 for a Slower LLM Agent.
 Preprint. Code and data: https://github.com/IAMIbrahimmemon/luthorsql