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 →
2Distinct papers
4Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2311579070
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Kentaroh Toyoda (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 2 papers
- Innovation: 2 papers
- Org Design: 2 papers
- Adoption: 1 paper
Claim outcomes
- Governance And Regulation: 2 papers
- Adoption Rate: 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 |
|---|---|---|---|
| Insurers cannot settle many AI-driven losses by 'event' logs alone; they need claim-grade reconstruction of the AI's evolving state. The CER framework — Control boundary, Evidence reconstruction, Insurance response — clarifies when retained artifacts and enforceable operating envelopes suffice to transfer residual AI risk to insurance markets.arxiv | Kentaroh Toyoda provider id |
2026-06-02 | 0 |
| Existing legal and technical frameworks cannot reliably identify or hold autonomous AI agents accountable; five fundamental gaps — from intent verification to recursive delegation accountability — mean engineering work alone will not solve the problem. Foundational research on agent identity is urgently needed to enable safe cross‑organizational AI transactions.arxiv | Kentaroh Toyoda provider id |
2026-04-25 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 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.