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
3Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2306088204
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Megan Wang (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Productivity: 2 papers
- Innovation: 1 paper
Claim outcomes
- Adoption Rate: 2 papers
- Organizational Efficiency: 1 paper
- Other: 1 paper
- Ai Safety And Ethics: 1 paper
- Output Quality: 1 paper
- Task Completion Time: 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 |
|---|---|---|---|
| Endpoint-level differences — not just model families — drive large swings in accuracy, latency and cost: the same model served from different endpoints can vary by over 10 percentage points in accuracy, an order of magnitude in tail latency, and multiple-fold in energy and dollars per correct answer, changing which endpoints look best once realistic workloads are considered.arxiv | Megan Wang provider id |
2026-05-01 | 0 |
| AgentPulse: a continuous scoring system shows public adoption and community signals reveal deployment-relevant information that static benchmarks miss; those signals predict GitHub stars, Stack Overflow activity and IDE installs even where capability benchmarks do not.arxiv | Megan Wang provider id |
2026-04-27 | 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.