Finding 2669Emerging EvidenceValidation V0
Researchers introduce a novel Revenue Prompt Dataset of 200,000 questions, using logistic regression to link market capitalization, investor attention, and filing readability for quantifying retrograde knowledge bias among U.S. companies.
78%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting78% linkage confidence
Researchers introduce a novel Revenue Prompt Dataset of 200,000 questions, using logistic regression to link market capitalization, investor attention, and filing readability for quantifying retrograde knowledge bias among U.S. companies.
key_findings bullet 3 · key_findings
Inspect source: Beyond the Reported Cutoff: Where Large Language Models Fall Short on Financial Knowledge →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.