Index
Advanced Research and Invention Agency (ARIA) record
Verdictunverifiable85%
3 checks · 1 src · 9/21/20261 → unverifiable; stale (excluded): 1 → confirmed, 1 → partial
Our claim
entire record- Grantee
- University of Birmingham
- Name
- ARIA TA1.1: Hyper-optimised Tensor Contraction for Neural Networks Verification
- Currency
- GBP
- Date
- June 2024
- Notes
- [Safeguarded AI TA1.1] Hyper-optimised Tensor Contraction for Neural Networks Verification. Lead(s): Stefano Gogioso, Mirco Giacobbe. Institutions: Hashberg Ltd / University of Birmingham. Status: active.
Source evidence
1 src · 3 checksconfirmed95%deterministic-row-match · 9/21/2026
- Grantee
- Hashberg Ltd / University of Birmingham
- Focus Area
- TA1.1
- Name
- Hyper-optimised Tensor Contraction for Neural Networks Verification
- Description
- Hashberg Ltd / University of Birmin
NoteDeterministic match: grantee, name matched in source snapshot (48 rows)
unverifiable85%Haiku 4.5 · 9/21/2026
NoteRe-check. Previous verdict: unverifiable. Verdict unchanged.
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 grantor organization. Per QUA-648, programmes and initiatives within an organization count as MISMATCHES from the parent organization.
Case № 23EnVUNU_2Filed 9/21/2026Confidence 85%