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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5137933635
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- <p>Xi Jin<sup>1</sup></p> (openalex, provider refresh)
- <p>Xi Jin<sup>1</sup></p> (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Research Productivity: 1 paper
- Decision Quality: 1 paper
- Task Completion Time: 1 paper
- Governance And Regulation: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| A generative-AI 'copilot' speeds equity research and sharpens qualitative signals in backtests on A-share and U.S. large-cap stocks, but model hallucinations, prompt sensitivity and data‑leakage risks can distort trading unless tightly governed; traceable prompts, cross‑source checks and model risk controls are essential for safe deployment.openalex | <p>Xi Jin<sup>1</sup></p> provider id |
2026-01-01 | 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.