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Grant·utk0FBmOuF·Record

Grant utk0FBmOuF

Verdictunverifiable85%
2 checks · 1 src · 4/29/2026
Headline unverifiable — 1 high-relevance source unverifiable, 1 high-relevance source confirmed.

1 → unverifiable; dissent: 1 → confirmed

Our claim

entire record
Name
ARIA TA1.1: Profunctors: A unified semantics for safeguarded AI
Currency
GBP
Date
January 2024
Notes
[Safeguarded AI TA1.1] Profunctors: A unified semantics for safeguarded AI. Lead(s): Nicola Gambino. Institutions: University of Manchester. Status: active.

Source evidence

1 src · 2 checks
confirmed95%deterministic-row-match · 4/27/2026
Grantee
University of Manchester
Focus Area
TA1.1
Name
Profunctors: A unified semantics for safeguarded AI
Description
University of Manchester
Status
active

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

unverifiable85%Haiku 4.5 · 3/25/2026

NoteWhile the source confirms the existence of the Safeguarded AI programme and TA1, it does not contain specific information about this particular grant record. The source text appears to be a programme overview page rather than a detailed grants list. The specific grant name, grantee institution, funder identifier, and date cannot be verified from the provided excerpt.

Case № utk0FBmOuFFiled 4/29/2026Confidence 85%
Source Check: Grant utk0FBmOuF | Longterm Wiki