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
94Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2141059217
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- K. Hamidieh (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Innovation: 1 paper
- Productivity: 1 paper
Claim outcomes
- Output Quality: 2 papers
- Organizational Efficiency: 2 papers
- Other: 1 paper
- Task Allocation: 1 paper
- Decision Quality: 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 |
|---|---|---|---|
| MatrAIx simulates an 8.3 billion-person world to test AI products, releasing a 1M-person coreset and an interactive Playground to run thousands of simulated-user trials; controlled validation finds persona agents follow assigned behaviors in 91.5% of trials, though results rely heavily on LLM judges and grounded sources with known demographic skews.arxiv | K. Hamidieh provider id |
2026-08-04 | 0 |
| A new Compute–Data scaling law shows that derived tokens (repeats or paraphrases) become less valuable as models and data availability grow, so spending extra compute instead of curating fresh data delivers diminishing returns and Chinchilla’s compute-only allocation is often suboptimal.arxiv | K. Hamidieh provider id |
2026-07-28 | 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.