Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
1Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
82546517
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Alan Woodward (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Innovation: 1 paper
Claim outcomes
- Automation Exposure: 1 paper
- Ai Safety And Ethics: 1 paper
- Governance And Regulation: 1 paper
- Market Structure: 1 paper
- Organizational Efficiency: 1 paper
- Task Allocation: 1 paper
- Task Completion Time: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Frontier AI is now part of national cyber defence — and producer states can cut access overnight; since most countries cannot match the rising cost and concentrated compute of frontier training, policymakers should pursue layered, realistic sovereignty (control over inference and deployment, regional pools, open-weight hedges and talent investment) rather than aim to replicate frontier labs.arxiv | Alan Woodward provider id |
2026-08-13 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.