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
4Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5125464545
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Zeyu Teng (openalex, provider refresh)
- Zeyu Teng (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Innovation: 1 paper
Claim outcomes
- Other: 1 paper
- Adoption Rate: 1 paper
- Firm Revenue: 1 paper
- Governance And Regulation: 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 shielding mechanism lets deep RL learn discriminatory pricing while provably enforcing per-period price-fairness bounds; in simulated markets Shield-SAC matches high revenue while never violating fairness constraints.openalex | Zeyu Teng provider id |
2026-02-09 | 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.