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
4Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2025–2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2258713625
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Manish Raghavan (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 2 papers
- Adoption: 1 paper
- Innovation: 1 paper
Claim outcomes
- Ai Safety And Ethics: 1 paper
- Governance And Regulation: 1 paper
- Consumer Welfare: 1 paper
- Adoption Rate: 1 paper
- Innovation Output: 1 paper
- Output Quality: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| Conventional winrate metrics nudge model makers toward sameness and hurt users; a simple 'weighted winrate' that credits higher-quality answers realigns incentives, promoting specialization and raising consumer welfare in theory and benchmark experiments.arxiv | Manish Raghavan provider id |
2026-02-26 | 1 |
| A practical test for whether more model retraining can reduce bias: the authors provide an adaptive stopping rule that certifies, with high probability, when further searches for a 'less discriminatory algorithm' are unlikely to help. Applied to credit and housing datasets the method flags when additional retraining is futile, though its assurances rely on assumptions about model variability and access to demographic labels.arxiv | Manish Raghavan provider id |
2025-12-30 | 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 1 cumulative citations. This is a coverage summary, not an author score or h-index.