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Grant rH6p8WaK1o

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: Computational Mechanics Approach to World Models
Currency
GBP
Date
January 2024
Notes
[Safeguarded AI TA1.1] Computational Mechanics Approach to World Models. Lead(s): Fernando Rosas. Institutions: University of Sussex. Status: active.

Source evidence

1 src · 2 checks
confirmed95%deterministic-row-match · 4/27/2026
Grantee
University of Sussex
Focus Area
TA1.1
Name
Computational Mechanics Approach to World Models
Description
University of Sussex
Status
active

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

unverifiable85%Haiku 4.5 · 3/25/2026

NoteWhile the source confirms that TA1 exists within the Safeguarded AI programme and that it involves developing safety tools and world models (consistent with the grant title's focus on 'Computational Mechanics Approach to World Models'), the source does not provide specific information about the grant record itself: no mention of the project name 'ARIA TA1.1: Computational Mechanics Approach to World Models', no date of 2024-01, no confirmation that University of Sussex is the grantee, and no identification of the funder code 'XqjV4mbMXQ'. The source material appears to be a programme overview rather than a detailed project listing.

Case № rH6p8WaK1oFiled 4/29/2026Confidence 85%
Source Check: Grant rH6p8WaK1o | Longterm Wiki