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Grant sD8UJdUXU8

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: Axiomatic Theories of String Diagrams for Categories of Probabilistic Processes
Currency
GBP
Date
January 2024
Notes
[Safeguarded AI TA1.1] Axiomatic Theories of String Diagrams for Categories of Probabilistic Processes. Lead(s): Fabio Zanasi. Institutions: University College London. Status: active.

Source evidence

1 src · 3 checks
confirmed95%deterministic-row-match · 4/27/2026
Grantee
University College London
Focus Area
TA1.1
Name
Axiomatic Theories of String Diagrams for Categories of Probabilistic Processes
Description
University College London

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. The claim is about a grant from ARIA's 'TA1.1' project on string diagrams. While both involve ARIA, the source focuses on the Safeguarded AI programme structure and leadership, not the specific TA1.1 grant to University College London mentioned in the claim. Per QUA-648, a specific programme within an organization counts as a MISMATCH from the parent organization itself.

unverifiable85%Haiku 4.5 · 3/25/2026

NoteWhile the source confirms the existence of TA1 within the Safeguarded AI programme and discusses its objectives, it does not contain specific information about this particular grant record, including the grant name, the date (2024-01), the grantee identifier (ln8-CgTqI8), or the funder identifier (XqjV4mbMXQ). The source text is a high-level programme overview that does not list individual funded projects or grants. Therefore, the record cannot be verified or contradicted based on the provided source material.

Case № sD8UJdUXU8Filed 4/29/2026Confidence 95%