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Grant Z7_lsiZgH0

Verdictpartial95%
3 checks · 1 src · 4/29/2026
Headline partial — 1 high-relevance source partial, 1 high-relevance source unverifiable, 1 high-relevance source confirmed.

1 → partial; dissent: 1 → unverifiable, 1 → confirmed

Our claim

entire record
Name
ARIA TA1.1: Modal Types for Quantitative Analysis
Currency
GBP
Date
January 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 · 4/27/2026
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)

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 ARIA grant (TA1.1: Modal Types for Quantitative Analysis), which is a project within the Safeguarded AI programme, not the programme itself. Per QUA-648, programmes and projects within an organization count as different entities from the organization.

unverifiable95%Haiku 4.5 · 3/25/2026

NoteWhile the source confirms that TA1 exists within the Safeguarded AI programme and discusses its objectives, it does not provide the specific project name, grantee institution, funder identifier, or date for this particular grant record. The source text is a programme overview that does not contain a detailed list of funded projects. Therefore, the specific claims in the record cannot be verified or contradicted by this source material.

Case № Z7_lsiZgH0Filed 4/29/2026Confidence 95%