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Grant Bz-LYJ-pYD

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
September 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 ARIA itself as the grantor organization. Per QUA-648, programmes and initiatives within an organization count as MISMATCHES from the parent organization. The claim is about ARIA as the grant-giving entity, while the source focuses on one of ARIA's programmes.

unverifiable85%Haiku 4.5 · 3/25/2026

NoteWhile the source confirms that TA1 exists within the Safeguarded AI programme and discusses expanding TA1's scope, it does not provide specific information about individual TA1.2 projects, their names, dates, or grantees. The record references a specific grant with a date of 2024-09 and grantee 'Adjoint Labs Limited', but the source text does not contain these details. The funder identifier 'XqjV4mbMXQ' is also not mentioned in the source. Without explicit confirmation of these specific details in the source material, the record cannot be verified.

Case № Bz-LYJ-pYDFiled 4/29/2026Confidence 95%
Source Check: Grant Bz-LYJ-pYD | Longterm Wiki