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Grant SSC33bGJtj

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: Syntax and Semantics for Multimodal Petri Nets
Currency
GBP
Date
June 2024
Notes
[Safeguarded AI TA1.1] Syntax and Semantics for Multimodal Petri Nets. Lead(s): Amar Hadzihasanovic, Diana Kessler. Institutions: Tallinn University of Technology. Status: active.

Source evidence

1 src · 3 checks
confirmed95%deterministic-row-match · 4/27/2026
Grantee
Tallinn University of Technology
Focus Area
TA1.1
Name
Syntax and Semantics for Multimodal Petri Nets
Description
Tallinn University of Technology
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 claim is about a specific grant (TA1.1: Syntax and Semantics for Multimodal Petri Nets) from ARIA to Tallinn University of Technology, while the source is about the Safeguarded AI programme within ARIA. Per QUA-648, a specific programme within an organization counts as a MISMATCH from the parent organization itself, as they are distinct entities with different scopes and objectives.

unverifiable85%Haiku 4.5 · 3/25/2026

NoteWhile the source confirms that TA1 exists within the Safeguarded AI programme and discusses its general objectives (building an extendable language and platform for formal world models), it does not provide specific information about individual funded projects within TA1, their names, funding dates, or recipient institutions. The record's specific claims about this particular grant cannot be verified or contradicted from the provided source text.

Case № SSC33bGJtjFiled 4/29/2026Confidence 95%