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Advanced Research and Invention Agency (ARIA) record

Verdictunverifiable85%
3 checks · 1 src · 9/21/2026

1 → unverifiable; stale (excluded): 1 → confirmed, 1 → partial

Our claim

entire record
Name
ARIA TA1.1: Modal Types for Quantitative Analysis
Currency
GBP
Date
June 2024
Notes
[Safeguarded AI TA1.1] Modal Types for Quantitative Analysis. Lead(s): Vineet Rajani, Dominic Orchard. Institutions: University of Kent. Status: active.

Source evidence

1 src · 3 checks
confirmed95%deterministic-row-match · 9/21/2026
Grantee
University of Kent
Focus Area
TA1.1
Name
Modal Types for Quantitative Analysis
Description
University of Kent
Status
active

NoteDeterministic match: grantee, name matched in source snapshot (48 rows)

unverifiable85%Haiku 4.5 · 9/21/2026

NoteRe-check. Previous verdict: unverifiable. Verdict unchanged.

partial95%qua650-retro-scan-subject-identity · 4/21/2026

NoteQUA-650 retro-scan: The source is about the 'Safeguarded AI' programme within ARIA, not ARIA itself as the primary subject. The claim is about a specific grant (TA1.1: Modal Types for Quantitative Analysis) from ARIA to University of Kent, but the source discusses the broader Safeguarded AI programme structure and leadership. Per QUA-648, programmes and initiatives within an organization count as distinct entities from the organization itself.

Case № 9KbAX-WRGNFiled 9/21/2026Confidence 85%