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
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5022128611
ORCID evidence
Observed aliases (4)
- Qixuan Zai (openalex, provider refresh)
- Qixuan Zai (openalex, source metadata)
- Zai, Qixuan (openalex, provider refresh)
- Zai, Qixuan (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Org Design: 1 paper
Claim outcomes
- Market Structure: 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 |
|---|---|---|---|
| Deep-Q pricing agents in a congestible-market simulation can learn tacit collusion: longer memory and slower exploration lead to higher-than-competitive prices, although competitive pricing re-emerges under larger numbers of firms in the model.openalex | Zai, Qixuan provider id |
2026-09-13 | 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.