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Grant bbuHxQEh7c

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 TA1.2: From string diagrams to GPU optimisation
Currency
GBP
Date
January 2024
Notes
[Safeguarded AI TA1.2] From string diagrams to GPU optimisation. Lead(s): Paolo Perrone, Nikolaj Jensen. Institutions: Adjoint Labs Limited. Status: active.

Source evidence

1 src · 3 checks
confirmed95%deterministic-row-match · 4/27/2026
Grantee
Adjoint Labs Limited
Focus Area
TA1.2
Name
From string diagrams to GPU optimisation
Description
Adjoint Labs Limited
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, which is a specific programme within ARIA, not about ARIA itself as the grantor organization. Per QUA-648, programmes and initiatives within an organization count as MISMATCHES from the parent organization.

unverifiable85%Haiku 4.5 · 3/25/2026

NoteWhile the source confirms that TA1 exists within the Safeguarded AI programme and that there are funded projects under it, the source text does not provide specific details about individual TA1.2 grants, their names, dates, or grantees. The record references a specific grant with a specific title and grantee organization, but this information is not present in the provided source excerpt. The source is too high-level (programme overview) to verify the specific grant details.

Case № bbuHxQEh7cFiled 4/29/2026Confidence 95%
Source Check: Grant bbuHxQEh7c | Longterm Wiki