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
13Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2404580347
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Duo Wang (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 2 papers
- Human Ai Collab: 2 papers
- Adoption: 1 paper
- Innovation: 1 paper
Claim outcomes
- Ai Safety And Ethics: 2 papers
- Other: 1 paper
- Consumer Welfare: 1 paper
- Error Rate: 1 paper
- Governance And Regulation: 1 paper
- Organizational Efficiency: 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 |
|---|---|---|---|
| A new verifiable simulated marketplace lets buyer and merchant AI agents transact under an auditable protocol; benchmark results across ten models (capability-track means ~66–86%, large-catalog ~56–91%) reveal process-level errors that final-state checks can miss, highlighting bottlenecks exposed by large catalogs.arxiv | Duo Wang provider id |
2026-08-03 | 0 |
| A platform can deter LLM merchants from fabricating product claims without ever seeing the truth by penalising complaints above a noise floor and prompting agents after felt reputation drops; in simulated markets CARP+SPARC cuts misleading purchases and nearly closes the gap to a perfect-information benchmark while sparing honest sellers.arxiv | Duo Wang provider id |
2026-07-30 | 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.