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
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5126236357
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Lin, Qinqi (openalex, provider refresh)
- Lin, Qinqi (openalex, source metadata)
- Qinqi Lin (openalex, provider refresh)
- Qinqi Lin (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Org Design: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Ai Safety And Ethics: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex 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 |
|---|---|---|---|
| As deletion requests climb, auditors can safely cut inspection intensity because degraded unlearning makes non-compliance easier to detect; and while secret audits reveal more, they can paradoxically reduce regulatory cost‑effectiveness compared with public auditing.openalex | Lin, Qinqi provider id |
2026-02-16 | 0 |
Citation observation summary
OpenAlex 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.