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Grant JtOpNlW2q7

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: Doubly Categorical Systems Logic
Currency
GBP
Date
January 2024
Notes
[Safeguarded AI TA1.1] Doubly Categorical Systems Logic. Lead(s): Matteo Capucci. Institutions: Independent Researcher. Status: closed.

Source evidence

1 src · 3 checks
confirmed95%deterministic-row-match · 4/27/2026
Grantee
Matteo Capucci (Independent)
Focus Area
TA1.1
Name
Doubly Categorical Systems Logic
Description
Independent Researcher
Status
closed

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 primary subject. Per QUA-648, programmes and sub-initiatives count as MISMATCHES from their parent organization. The claim is about ARIA as the grantor organization, while the source focuses on one of ARIA's programmes.

unverifiable95%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 information about specific TA1 sub-projects, their titles, dates, or individual grantees. The record references 'ARIA TA1.1' as a specific grant with a date of 2024-01 and grantee Matteo Capucci, but the source text does not contain any of these specific details. The funder identifier 'XqjV4mbMXQ' is also not mentioned in the source. Without confirmation of these specific details in the source material, the record cannot be verified.

Case № JtOpNlW2q7Filed 4/29/2026Confidence 95%
Source Check: Grant JtOpNlW2q7 | Longterm Wiki