Index
Grant LUeQdab8rf
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
- June 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 checksconfirmed95%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 the existence of TA1 within the Safeguarded AI programme and discusses its expansion, it does not provide a list of specific TA1 projects or their grantees. The record references a specific project with a specific grantee institution, but the source text does not contain this granular project-level information. The funder identifier 'XqjV4mbMXQ' is also not mentioned in the source. Therefore, the specific claims in the record cannot be verified from this source material.
Case № LUeQdab8rfFiled 4/29/2026Confidence 85%