C023 — Claim Definition¶


Research	R0028 — Prompt Engineering Claims
Run	2026-03-26
Claim	C023

Claim as Received¶

Approximately 72-87% of cross-language failures are attributable to model limitations (primarily tokenization inefficiency) rather than to the linguistic structures themselves, with only about 2% of failures tracing to direct linguistic nuances like word order or inflection.

Claim as Clarified¶

Confirmed. The LILT analysis explicitly states: 'Fundamental model limitations drive 72.1% to 87.3% of errors, while data artifacts account for 10.6% to 25.6%, and inherent language nuances represent approximately 2% of the gap.' These exact figures match the claim.

BLUF¶

Confirmed. The LILT analysis explicitly states: 'Fundamental model limitations drive 72.1% to 87.3% of errors, while data artifacts account for 10.6% to 25.6%, and inherent language nuances represent approximately 2% of the gap.' These exact figures match the claim.

Scope¶

Domain: Prompt engineering and related fields
Timeframe: As of 2026-03-26
Testability: Verifiable through primary sources

Assessment Summary¶

Probability: Very likely (80-95%)

Confidence: High

Hypothesis outcome: See assessment.md.

[Full assessment in assessment.md.]

Status¶

Field	Value
Date created	2026-03-26
Date completed	2026-03-26
Researcher profile	None provided
Prompt version	Unified Research Standard v1.0-draft
Revisit by	2027-03-26
Revisit trigger	New evidence or source changes