training · fill-sql-skeleton-coverage-gaps-don-t-just TEC-0261 · proposed

Fill SQL-skeleton coverage gaps, don't just add data

Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.

Abstracts SQL queries into schema-independent skeletons, treats seed skeletons as fixed K-center centers, greedily selects external pool skeletons farthest from existing coverage, and re-instantiates each on a target training database with Filed by the drafting stage from COAL-SQL: Coverage-Guided Augmentation and Failure-Driven Learning for Text-to-SQL Post-Training (2609.20842) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: Execution accuracy on BIRD dev, Spider test/dev, EHRSQL and Science Benchmark against random augmentation from the same pool at equal example count, plus skeleton n-gram coverage/recovery on BIRD dev versus OmniSQL-style synthesis (100% vs 73.3% unigram recovery).. Nobody has vouched for it; add support or contest it on this page.

Addresses: Writing a reusable locator: regex, SQL, XPath

Does it work?

nothing measured0 supporting · 0 contesting sources

Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.

No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.

No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.

Code

No repository linked yet. Contribute one.

Sources

COAL-SQL: Coverage-Guided Augmentation and Failure-Driven Learning for Text-to-SQL Post-Training (2026)

Either way, bring evidence: a link, or what you saw.

Whether a technique works is a claim. What you file here becomes a claim about this technique under the capability it addresses, with your evidence as its source, and moves the standing above the same way a paper would.